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Free Download A Practical Guide to Qualitative Research
Published 10/2024
Created by Dr. Hussin Ahmed
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 23 Lectures ( 1h 32m ) | Size: 1.2 GB

Understanding Fundamentals and Practices of Qualitative Research
What you'll learn
Understanding the structure of publication, thesis and dissertation in qualitative research.
Understanding the practices of data collection methods in qualitative research
Understanding the practices of data analysis methods in qualitative research
Understanding evaluation criteria and strategies in qualitative research
Requirements
No academic experience is needed. You will learn everything from scratch by examples.
Description
A practical guide to qualitative research helps the target audience to be qualified in writing effective publications (e.g., Thesis, dissertation, journal article) that are based on qualitative approach. The target audience (e.g., PhD and master's degree students, lecturers at university, User Experience researchers, entrepreneurs and service managers) will be able to understand and write the content of the basic components in qualitative research. This means that researchers will be qualified to write abstract, introduction, literature review, research methodology, findings and discussion and conclusion according to best practices in academia and industry. Moreover, researchers will understand the practices of data collection which include selecting data collection methods, creating data collection protocol (e.g., interview protocol), selecting sampling strategy, understanding saturation to determine sample size, and following research ethics. Furthermore, researchers will understand the main concepts of data analysis such as codes and themes, the main steps of data analysis and evaluation criteria and strategies that are necessary to make the findings trustworthy. Finally, this course provides multiple pieces of advice and recommendations that are important to present findings in an interesting and informative manner. This guide was designed to deliver huge and significant information which is supported by examples and evidence from renowned books in a timely manner.
Who this course is for
PhD and master's degree students, lecturer in university, UX researcher, entrepreneur and service manger
Homepage
Код:
https://www.udemy.com/course/a-practical-guide-to-qualitative-research/
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Код:
Rapidgator
https://rg.to/file/3e2a6e8c0c1e7e04354682aa03ce2f2a/xorav.A.Practical.Guide.to.Qualitative.Research.part1.rar.html
https://rg.to/file/42a5cc6761ac6f4e03ca27268028f890/xorav.A.Practical.Guide.to.Qualitative.Research.part2.rar.html
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Free Download A Short Course On Firefighter Health Basics
Last updated 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 57m | Size: 518 MB
Fitness, Safety, and Mental Resilience For Firefighters

What you'll learn
Overview of Firefighters Health Challenges
Cardiovascular Health & Fitness For Fire Fighters
Respiratory Health & Lung Protection For Fire Fighters
Burns and Their First Aid
Musculoskeletal Health and Injury Prevention
Mental Health And Resilience For Fire Fighters
Requirements
Internet
Description
Firefighting is a physically demanding and high-risk profession that requires exceptional health, fitness, and mental resilience. This Firefighter Health Basics course is designed to provide you with the essential knowledge and tools to maintain your physical health, cardiovascular fitness, and mental well-being on the job.In this course, we'll cover critical topics such as lung health for firefighters, cardiovascular health, injury prevention, and ergonomics. You'll learn how to manage heat-related illnesses, practice safe lifting techniques, and prevent common musculoskeletal injuries. We'll also address mental health awareness, providing strategies for managing stress and building resilience in the face of occupational challenges.This course is perfect for firefighters, first responders, and anyone in emergency services looking to enhance their understanding of health and safety in high-stress environments. Whether you're an experienced firefighter or a recruit, you'll benefit from practical advice on improving your overall fitness, mental health, and well-being.By the end of this course, you will know how to protect yourself from common health risks and injuries, ensuring a long and healthy career in firefighting. Enroll today and prioritize your firefighter health with these essential tips and strategies!Keywords: Firefighter health, firefighter fitness, lung health, cardiovascular health, injury prevention, mental health for firefighters, stress management, ergonomics for firefighters.
Who this course is for
For Fire Fighter
Anybody working in fire department
Medical Staff Working With Fire Fighters
Homepage
Код:
https://www.udemy.com/course/a-short-course-on-firefighter-health-basics/
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Код:
Rapidgator
https://rg.to/file/f5d3f224b36b1b199ec1cd4441f86429/ivwte.A.Short.Course.On.Firefighter.Health.Basics.rar.html
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Free Download A course on Vibration - Dynamics of Machinery
Published 10/2024
Created by Rajan Gosavi (Gold Medalist , M.Tech. )
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 37 Lectures ( 4h 46m ) | Size: 1.14 GB

Conceptual understanding of Theory, Mathematical derivations & Solved examples on Vibrations.
What you'll learn
You will learn the theory, Derivations & solved examples on Free undamped vibrations or Natural vibrations.
You will learn the conceptual understanding of theory, Derivations & solved examples on Free damped vibrations or Natural vibrations in detail.
You will learn the conceptual understanding of theory, Derivations & solved examples on Force damped vibrations in detail.
You will learn the conceptual understanding of theory, Derivations & solved examples on Torsional vibrations in detail.
Requirements
You must be having knowledge of basic knowledge of Physics & Mechanics.
Description
This comprehensive course on Vibrations is designed for Mechanical Engineering students and professionals seeking to deepen their understanding of dynamic systems. It covers essential topics such as free damped vibrations, free undamped vibrations, forced damped vibrations, and torsional vibrations. Each section of the course is meticulously crafted to provide a solid foundation in the theory behind mechanical vibrations, offering detailed explanations of key concepts.We will explore the physical significance of vibrations in engineering systems and their real-world applications. Through step-by-step derivations of important formulas and equations, you will gain a deeper insight into the mathematical models that govern vibrational behavior. Additionally, the course includes solved examples that illustrate how to apply these models to practical engineering problems.This course is structured to ensure a smooth learning curve, starting from the basic concepts and gradually progressing towards more advanced topics. We begin by discussing free undamped vibrations, where you'll understand the fundamentals of natural frequency and how mechanical systems respond when no external forces or damping effects are present. Moving forward, we dive into free damped vibrations, highlighting how damping influences system behavior and its importance in real-world engineering applications to prevent excessive oscillations.The course then shifts focus to forced damped vibrations, where we explore how external forces affect the vibrational response of systems, and how to analyze and control these effects. Finally, the section on torsional vibrations covers rotational systems and their unique vibrational characteristics, complete with detailed explanations and practical examples.In addition to the theoretical content, numerous practical examples are solved step-by-step to bridge the gap between theory and real-world applications. You'll also learn how to interpret vibration data and make informed decisions in design and analysis.By the end of the course, you will be able to confidently approach vibration-related problems and enhance your understanding of mechanical systems' dynamic behavior, making this course a valuable resource for both academic and industrial contexts.Whether you're preparing for exams or looking to enhance your professional skills, this course equips you with the tools and knowledge necessary to solve complex vibration problems. By the end of the course, you'll have a solid understanding of both the theoretical and practical aspects of mechanical vibrations, making you more confident in addressing real-world engineering challenges.
Who this course is for
This course is for Mechanical Engineering students & professionals.
Homepage
Код:
https://www.udemy.com/course/a-course-on-vibration-dynamics-of-machinery/
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Код:
Rapidgator
https://rg.to/file/48591b99f82b627898d2aae20f51d666/varxc.A.course.on.Vibration..Dynamics.of.Machinery.part1.rar.html
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Free Download AI Agents - Build with Chatgpt, Zapier, CrewAI
Published 10/2024
Created by Arjun Janananda
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 14 Lectures ( 1h 47m ) | Size: 981 MB

Master the art of building AI agents and automate any task!
What you'll learn:
Learn to build AI Agents
Work with Zapier AI actions
Create Custom GPTs
Create agents with Crew AI
Create intelligent Agents
Requirements:
No technical background required
Description:
Unlock the future of automation with AI Agents in this immersive, hands-on course. I've designed this course to take you on a transformative journey, where you'll master the fundamentals, real-world applications, and groundbreaking potential of AI agents.From automating daily tasks to streamlining complex business workflows, you'll gain practical insights into creating and deploying powerful AI agents that supercharge your productivity and optimize operations for maximum efficiency. Whether you're looking to boost personal output or reshape your business processes, this course is your gateway to the AI-driven future.We begin by building simple AI agents within ChatGPT, learning how to harness its incredible capabilities. Next, we dive deep into Zapier, the ultimate automation tool for connecting apps and workflows. Through a step-by-step approach, you'll learn to craft intelligent, AI-powered systems that make your work easier and faster.But we won't stop there. You'll then unlock the power of Crew AI, a tool designed to build advanced AI agents leveraging large language models. This will take your automation expertise beyond simple integrations-into the realm of collaborative AI that can tackle complex, multi-step processes. You'll learn how to create AI agents that work together, solving intricate challenges effortlessly.Each lesson is packed with hands-on projects designed to make learning fun and practical. Whether you're a beginner or a seasoned professional, I've structured this course to ensure that you gain mastery over every tool, workflow, and model we explore. No technical experience is needed-every step is explained in detail, so you'll feel confident regardless of your background.By the end, you'll possess the skills to design and deploy custom AI agents tailored to your unique needs-whether automating social media tasks, managing workflows, or innovating entirely new processes.This course is perfect for anyone-software developers, business professionals, or those simply curious about the transformative power of AI. You'll walk away with practical expertise and the confidence to implement AI agents in real-world applications.Together, we'll unlock the unlimited potential of AI agents and step boldly into the future of intelligent automation. Let's begin the journey!
Who this course is for:
IT professional, Students, Business Owners, Leaders
Homepage
Код:
https://www.udemy.com/course/ai-agents-build-with-chatgpt-zapier-crewai-make-generative-ai/










Код:
Rapidgator
https://rg.to/file/05ec2878ddd94c02c511a6f4f37eb51e/hiwpq.AI.Agents..Build.with.Chatgpt.Zapier.CrewAI.rar.html
Fikper Free Download
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Free Download AI Agents Preparing Your Organization for Change as a Business Leader
Released 10/2024
With Andreas Welsch
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 21m 46s | Size: 64 MB

Get up to speed quickly on how AI agents will change key business functions and processes and how you can manage and navigate those changes.
Course details
When leaders know how to lead AI-driven change, they can successfully guide their organizations through transitions, foster innovation, and ensure that their teams are prepared for the future. In this course for organizational leaders, Andreas Welsch-an internationally-recognized advisor on scaling AI adoption in organizations-emphasizes the key business functions that will change with AI, as well as how you can navigate those changes and prepare for enterprise-wide adoption of AI agents. When you complete this course, you'll have a solid understanding of the skills you need to navigate the transition to AI-enhanced workflows smoothly, ensuring that your organization remains competitive and technologically advanced.
Homepage
Код:
https://www.linkedin.com/learning/ai-agents-preparing-your-organization-for-change-as-a-business-leader
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Код:
Rapidgator
https://rg.to/file/31808df2747c626a1f27721d6cccf04f/fpfix.AI.Agents.Preparing.Your.Organization.for.Change.as.a.Business.Leader.rar.html
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Free Download AI Ethics for All - A Christian Guide for Business & Life
Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 39m | Size: 2.43 GB
Navigating ChatGPT and AI Tools Responsibly: From Novice to Expert

What you'll learn
Evaluate the Ethical Implications of AI in Various Contexts, Including Business and Personal Use.
Critically Assess AI Technologies Such as ChatGPT, Machine Learning, and Generative AI
Understand the Role of AI in Decision-Making Processes
Develop Responsible AI Strategies that Prioritize both Profitability and Ethical Integrity.
Design AI Governance Frameworks Guided by Ethical Principles
Engage in Reflective Practices to Continuously Align AI Use with Ethical Standards
Apply Christian Ethical Principles and Universal Ethical Standards to AI Decision-Making
Promote Ethical AI Practices in Faith-Based and Broader Community Settings
Requirements
This course is suitable for all levels and does not require any prior experience with AI or technical knowledge. However, a basic understanding of AI concepts or familiarity with AI tools like ChatGPT can be helpful to maximize your learning experience.
Description
AI Ethics for All: A Christian Guide for Business & Life offers a unique blend of ethical guidance, Christian principles, and practical insights into the rapidly evolving world of Artificial Intelligence (AI). Designed for business professionals, Christian leaders, educators, and individuals who want to responsibly engage with AI technologies like ChatGPT, this course equips you with the tools to make informed and ethical decisions in both personal and professional settings.In this course, you'll learn how AI is transforming decision-making processes in various contexts-personal, business, and faith-based communities-and how you can navigate these changes thoughtfully. We'll explore the ethical implications of AI technologies such as ChatGPT, Machine Learning, and Generative AI, using a Christian ethical framework to address complex challenges like bias, privacy, and accountability.You'll develop the skills to apply Christian ethical principles-such as justice, stewardship, compassion, and integrity-to real-world AI scenarios, ensuring that technology serves humanity's well-being rather than exploiting it. Through reflective exercises, practical case studies, and actionable strategies, you will learn how to design responsible AI practices that balance innovation, profitability, and ethical integrity.By the end of this course, you will be able to critically evaluate AI's impact, create AI governance frameworks guided by Christian values, and advocate for ethical AI use in your community or organization. Whether you're looking to integrate AI responsibly into your business, lead faith-based discussions on AI ethics, or simply understand the ethical dimensions of AI from a Christian perspective, this course provides the comprehensive guidance you need.Enroll today to start navigating the ethical challenges of AI with wisdom, discernment, and faith.
Who this course is for
This course is designed for business professionals, entrepreneurs, Christian leaders, educators, and individuals interested in understanding the ethical use of AI technologies like ChatGPT from a Christian perspective. It is ideal for those looking to navigate the ethical challenges of AI in both professional and personal settings while aligning with biblical principles. Whether you are a decision-maker in a business environment, a church leader guiding your community, or someone eager to learn how to use AI responsibly, this course will provide you with the tools and insights to balance innovation with ethical integrity.
Homepage
Код:
https://www.udemy.com/course/ai-ethics-for-all-a-christian-guide-for-business-life/
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Код:
Rapidgator
https://rg.to/file/0e00d383e1d767755730e6863e551923/tbdyw.AI.Ethics.for.All.A.Christian.Guide.for.Business..Life.part3.rar.html
https://rg.to/file/1447b7eb54935ba8f22ba9ed9baaad93/tbdyw.AI.Ethics.for.All.A.Christian.Guide.for.Business..Life.part1.rar.html
https://rg.to/file/41a91de8025911c66daef1cc652d590a/tbdyw.AI.Ethics.for.All.A.Christian.Guide.for.Business..Life.part2.rar.html
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Free Download AI Ethics, Governance, and Compliance Build Responsible AI
Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 39m | Size: 1.89 GB
Master AI Ethics, Governance, and Compliance: Frameworks, Risk Management, and Best Practices for Responsible AI Systems

What you'll learn
Define Core Concepts: Understand the fundamentals of AI, ethics, governance, and compliance, and explain how they intersect in AI systems.
Evaluate Ethical Principles in AI: Analyze key ethical principles like beneficence, non-maleficence, accountability, transparency, non-discrimination as applied
Identify and Engage Stakeholders in AI Ethics: Recognize the various stakeholders in AI ethics and their roles in promoting responsible and fair AI practices.
Apply Ethical AI Frameworks: Explore & implement ethical frameworks that guide responsible AI practices to support human rights & prevent common ethical issues
Explain AI Governance Concepts: Describe AI governance and its necessity in regulating and guiding the responsible development and deployment of AI.
Design and Implement AI Governance Models: Build effective governance structures by using key components and best practices for AI governance.
Develop a Compliance Program for AI: Create and manage a compliance program that ensures AI systems meet ethical, legal, and organizational standards.
Utilize Governance and Compliance Frameworks: Apply governance and compliance frameworks to real-world AI use cases, measuring their effectiveness and impact.
Identify and Mitigate AI Risks: Assess different types of AI risks, develop strategies for risk mitigation, and establish a robust risk management framework.
Stay Updated on Trends and Future Directions: Analyze current trends, challenges, and evolving future of AI governance, compliance, ethics for Responsible AI.
Requirements
Enthusiasm and determination to make your mark on the world!
Description
A warm welcome to the AI Ethics, Governance, and Compliance: Build Responsible AI course by Uplatz.AI Ethics, Governance, and Compliance is a framework focused on the responsible development, deployment, and regulation of artificial intelligence (AI) systems. It encompasses the ethical principles, governance structures, and regulatory requirements that ensure AI technologies are developed and used in ways that are transparent, accountable, and aligned with societal values.In essence, AI Ethics, Governance, and Compliance help build AI systems that benefit society and reduce risks associated with AI misuse or unintended harm.Key ComponentsAI Ethics: This involves identifying and upholding ethical principles in AI, such as fairness, transparency, accountability, and respect for human rights. Ethical AI seeks to avoid harm, promote fairness, and reduce biases that might negatively impact individuals or groups.AI Governance: Governance refers to the systems, policies, and procedures organizations implement to guide AI development and usage responsibly. This includes decision-making structures, roles, and processes that oversee AI projects and ensure alignment with ethical and legal standards. Effective AI governance supports responsible innovation and risk management.AI Compliance: Compliance focuses on adhering to laws, regulations, and organizational standards that govern AI. This includes data privacy laws, such as GDPR, AI-specific regulations, and internal policies. Compliance ensures that AI systems operate legally and responsibly within defined boundaries.Importance of AI Ethics, Governance, and Compliance:Trust: Ensures that AI systems are developed in ways that users and society can trust.Transparency and Accountability: Creates a foundation for understanding how AI systems make decisions and who is responsible for them.Risk Management: Helps mitigate risks such as bias, discrimination, and misuse, promoting safer, more inclusive AI.Alignment with Societal Values: Encourages AI that respects human rights, privacy, and ethical principles.AI Ethics, Governance, and Compliance - Course CurriculumModule 1 - AI EthicsWhat is AIWhat are Ethics, Governance and Compliance- An IntroductionAI EthicsIntroduction- Understanding AI EthicsStakeholders in AI EthicsPrinciples of beneficence and non- maleficenceDiscussion on AccountabilityEthical AI FrameworksProperty of the System- TransparencyAI and Human rightsNon discriminationEthics in practiceCommon ethical issues in AIModule 2 - AI GovernanceAI GovernanceWhat is AI Governance?Need for AI GovernanceBuilding blocks and Key components of AI GovernanceApproach to AI GovernanceImplementing AI GovernanceDeveloping a Compliance programModel of AI GovernanceAI governance frameworksAI Governance toolkitBest PracticesMeasuring Governance and Compliance EffectivenessThe path ahead- Future of AI GovernanceCurrent TrendsOvercoming AI Governance challengesSynthesizing AI Governance into ActionModule 3 - AI ComplianceAI ComplianceUnderstanding AI ComplianceImportance of AI ComplianceKeys Aspects of AI complianceEnsuring AI ComplianceRisk Management in AIType of AI RisksAssessing AI risksRisk mitigation techniquesAI Risk management in ActionBuilding a Risk Management frameworkBenefits of Learning AI Ethics, Governance, and ComplianceLearning AI Ethics, Governance, and Compliance offers several key benefits, especially as AI continues to impact various sectors and industries. Learning AI Ethics, Governance, and Compliance not only equips you to manage AI responsibly but also enables you to make a meaningful impact, fostering trustworthy and equitable AI practices in an ever-evolving field. Some of the primary advantages are:1. Enhanced Employability and Career GrowthWhy: With AI regulations and ethical concerns on the rise, organizations need professionals skilled in ethical governance.Benefit: You gain a competitive edge, positioning yourself as an essential asset for roles in AI, data science, compliance, and regulatory affairs.2. Ability to Develop Responsible AI SystemsWhy: Understanding ethics, governance, and compliance helps you create AI systems that prioritize safety, fairness, and transparency.Benefit: You contribute to developing AI that aligns with societal values, helping reduce risks like bias and misuse.3. Stronger Understanding of Regulatory ComplianceWhy: As AI-specific regulations increase globally, it's crucial to be knowledgeable about compliance standards to avoid legal challenges.Benefit: You can navigate AI legalities and ensure systems meet standards like GDPR and emerging AI-specific regulations.4. Skills to Mitigate AI RisksWhy: AI systems can introduce risks related to discrimination, privacy violations, and unintended consequences.Benefit: With risk management techniques, you can effectively identify and mitigate these risks, contributing to safer AI systems.5. Contribution to Building Trustworthy AIWhy: Ethical and compliant AI systems are more likely to be trusted by users, regulators, and the public.Benefit: You help foster trust in AI technology, crucial for its adoption and success in various sectors.6. Preparation for Leadership Roles in AI GovernanceWhy: As companies form AI ethics boards and governance committees, there's a demand for professionals with expertise in AI governance.Benefit: Knowledge in AI ethics and governance prepares you to lead initiatives that shape responsible AI practices at an organizational level.7. Improved Decision-Making SkillsWhy: Ethics, governance, and compliance teach frameworks for evaluating and making decisions about AI's impact and risks.Benefit: You can make informed decisions that balance innovation with responsibility, ensuring AI benefits outweigh potential harms.8. Keeping Up with Trends and Future DirectionsWhy: AI ethics and governance evolve as AI technology advances, with new frameworks and policies constantly emerging.Benefit: You stay updated on the latest industry trends, frameworks, and challenges, allowing you to adapt to and shape future AI developments.9. Contribution to Positive Societal ImpactWhy: Responsible AI has a significant social impact, from reducing biases to protecting privacy and supporting human rights.Benefit: Your expertise can help shape AI in ways that are beneficial to society, promoting equitable outcomes for all.10. Preparation for Future RegulationsWhy: Governments are increasingly implementing AI regulations, and more are expected in the future.Benefit: By understanding AI compliance today, you're well-prepared to navigate and adapt to future regulatory requirements.
Who this course is for
AI and Data Science Professionals
Business and Compliance Leaders
AI and Data Governance Leads
Anyone aspiring for a career in Governance and Compliance
Legal and Regulatory Professionals
Product Managers and UX Designers in AI
Middle and Senior Management Professionals
Data Privacy Managers
Students and Researchers in AI and Ethics
Data Scientists
HR and Diversity Officers
Anyone Interested in Ethical AI Use
Machine Learning Engineers
Artificial Intelligence Engineers
Homepage
Код:
https://www.udemy.com/course/ai-ethics-governance-compliance/
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Код:
Rapidgator
https://rg.to/file/c33e6d0e2f11fc29ae66ff7d45ad3bfc/dmtmx.AI.Ethics.Governance.and.Compliance.Build.Responsible.AI.part2.rar.html
https://rg.to/file/ebbed8e9ba025589a88eee79a951babc/dmtmx.AI.Ethics.Governance.and.Compliance.Build.Responsible.AI.part1.rar.html
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Free Download AI For B2B Marketing
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.27 GB | Duration: 3h 49m
Harnessing Machine Learning to Transform B2B Marketing Strategies and Drive Business Growth

What you'll learn
Build B2B Marketing Models using Machine Learning
Start Marketing of your Business with understanding of B2B Intent data and propensity of Ad Sales
Prioritize Business Marketing with Machine Learning
Augment Marketing Department with AI B2B Models
Requirements
Basic Machine Learning
Description
In today's rapidly evolving business landscape, leveraging artificial intelligence (AI) has become essential for effective B2B marketing. This course, AI for B2B Marketing, is designed for individuals with beginner to intermediate experience in machine learning who are eager to apply these skills in a business context.Participants will explore how to build robust B2B marketing models utilizing machine learning techniques, enabling them to make data-driven decisions that enhance marketing effectiveness. You will learn to identify and interpret B2B intent data, gaining insights into customer behavior and preferences. This understanding will empower you to prioritize marketing efforts based on the propensity for ad sales, ensuring your strategies align with customer needs.The course also focuses on augmenting traditional marketing departments with AI-driven models, providing you with the tools to optimize campaigns and improve ROI. Through practical exercises and real-world examples, you will develop the skills necessary to implement machine learning solutions that can transform your business's marketing approach.By the end of the course, you will be equipped to build, analyze, and implement innovative marketing strategies that drive engagement and growth in the B2B sector. Join us to elevate your marketing expertise and harness the power of AI in your business!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Overview of Intent Prediction
Lecture 3 Import Dataset
Lecture 4 Build Function for Feedback Score
Lecture 5 Encode Data
Lecture 6 Build Logistic Model
Lecture 7 Confusion Matrix
Lecture 8 Create Prediction Result
Lecture 9 Generalized Linear Model
Lecture 10 Build Intent Prediction results
Lecture 11 Draw ROC AUC Curve
Section 2: Propensity Model for Buy Product
Lecture 12 Introduction
Lecture 13 Import Dataset
Lecture 14 Visualize Data
Lecture 15 Feature Selection Lasso-Ridge Regularization
Lecture 16 Feature Selection and Elimination
Lecture 17 Display Selected Features
Lecture 18 Display Selected Features Contd
Lecture 19 Build Model Pipeline
Lecture 20 Build Model Pipeline Contd
Lecture 21 Build Deeplearning Model
Lecture 22 Voting Classifier
Lecture 23 Implement Voting Classifier
Lecture 24 Model Predictions
Section 3: Customer Life Time Value Prediction - Pending
Lecture 25 CLTV Import Data
Lecture 26 Introduction to Gamma Distribution
Lecture 27 Analyze Dataset
Lecture 28 Find Outliers
Lecture 29 Perform Data Aggregation
Lecture 30 Recency, Frequency, Monetary Calculation
Lecture 31 Implement BetaGeoFitter for prediction
Lecture 32 Implement Gamma Model for prediction
Lecture 33 CLTV Segmentation
Lecture 34 Compare Frequency of Customers Actual Vs Predicted
Beginner and Intermediate Experience in Machine learning. Anyone who is looking to Build B2B Business.
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Homepage
Код:
https://www.udemy.com/course/ai-for-b2b-marketing/




Код:
Rapidgator
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Free Download AI For Developers With GitHub Copilot, Cursor AI & ChatGPT
Published 10/2024
Created by Academind by Maximilian Schwarzmüller,Maximilian Schwarzmüller
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 73 Lectures ( 4h 45m ) | Size: 2.44 GB

Leverage AI to boost your productivity as a developer: Use GitHub Copilot, Cursor AI and ChatGPT for efficient coding
What you'll learn
Use GitHub Copilot to write, test and improve code with AI suggestions
Configure and fine-tune GitHub Copilot chat for your requirements as a developer
Generate and enhance code with Cursor AI
Use Cursor AI smart suggestions, completions, Composer and chat
Plan projects and create assets with ChatGPT or other external AI services
Understand prompt engineering essentials to get the most accurate AI outputs
Build a complete demo project (REST API) leveraging GitHub Copilot, Cursor AI and ChatGPT
Requirements
Basic understanding of programming concepts is required
Familiarity with GitHub is recommended but not required
No prior AI experience necessary to succeed in this course
Description
AI is not a threat-it's an incredibly powerful tool that can help you become an even more efficient and productive developer. While AI can generate code snippets and assist with routine tasks, it still needs your developer expertise to create safe, reliable and complex applications. This course is all about teaching you how to combine your developer skills with AI tools to supercharge your coding process.In today's fast-paced world of development, AI can be your secret weapon. By learning how to use AI tools like GitHub Copilot and Cursor AI efficiently, you can make routine coding tasks faster and easier, leaving you more time to focus on the most important and creative aspects of development. This course shows you exactly how to do that.You'll discover how to integrate AI seamlessly into your workflow, ensuring that it complements your knowledge without replacing the essential role you play as a developer. AI is here to enhance, not replace, your skills.Through hands-on lessons with GitHub Copilot, Cursor AI and external services like ChatGPT, you'll learn how to leverage AI to improve your coding speed, enhance productivity, and tackle complex challenges more efficiently. Whether you're just starting out or already have experience, this course will teach you how to use these tools to your advantage.What's in this course?Introduction to GitHub Copilot: Learn what GitHub Copilot is. Explore its core features like code suggestions, contextual code assistance and even debugging your code.Advanced GitHub Copilot Usage: Dive into more advanced features such as generating unit tests, configuring chat settings and understanding how to prompt the AI for more complex tasks.Mastering Cursor IDE: Discover how Cursor helps with code completion, chat, Cursor Composer and smart suggestions to make coding faster and more intuitive.External AI Tools: Learn how to integrate external services like ChatGPT into your workflow to streamline tasks like project planning, researching and even asset generation.Real-World Practice Project: I'll walk you through creating a REST API from scratch using AI tools. From planning and structuring the app to generating code, implementing features and debugging, you'll see how AI tools can assist every step of the way.Prompt Engineering Essentials: Learn how to fine-tune your prompts to get the best outputs from AI, helping you avoid common pitfalls and optimize efficiency.Debugging and Troubleshooting with AI: See how AI tools can assist with error detection, fixing bugs and improving your code's overall quality.Connect your dev knowledge with AI tools...This course doesn't just give you theory-you'll get practical examples and demos. You'll see firsthand how AI can enhance your coding experience, from writing cleaner code to automating repetitive tasks.If you're a developer who wants to stay ahead of the curve, this is the course for you! The future of development is here, and AI will be a key part of it.Check out the full curriculum, watch the free preview videos, and enroll today to start your AI-powered coding journey.
Who this course is for
Developers looking to boost productivity with GitHub Copilot, Cursor and other AI tools
Anyone curious about AI-driven development and seeking hands-on experience with real projects
Homepage
Код:
https://www.udemy.com/course/ai-for-developers-with-github-copilot-cursor-ai-chatgpt/
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Код:
Rapidgator
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Free Download AI Image Generation in React Native with DALLE3, Mid-Journey
Published 10/2024
Created by Mobile ML Academy by Hamza Asif
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 18 Lectures ( 1h 38m ) | Size: 875 MB

Build AI Image and Art Generator App in React Native - Master AI-powered image creation in React Native with Expo
What you'll learn
Build an exciting Image & Art Generation Application in React Native
Use DALLE-3, Mid-Journey & other AI platforms in React Native for generating Images
Use Animations in React Native Applications
Download Generated Images in React Native Apps & Save in Gallery
Learn to use external libraries in React Native
Requirements
You DO NOT need any experience with React or any framework
Description
Are you fascinated by AI and want to create stunning, AI-powered apps in React Native? Look no further! This course, AI Image Generation in React Native: Build Stunning Apps with DALLE-3, MidJourney & More, is designed for beginners, seasoned developers, and anyone curious about merging AI with app development. You'll gain practical, hands-on experience in building an AI-driven image-generation app using popular tools like DALLE-3, MidJourney, and Imagine.What You'll Learn:Environment Setup with React Native and Expo:Start by setting up the perfect development environment for React Native using Expo, ensuring a smooth start to your journey. You'll learn best practices for configuration, debugging, and testing, laying a solid foundation for React Native app development.Building a Sleek and User-Friendly Interface:Create a beautiful and responsive user interface for the app. We'll guide you through building an intuitive layout with smooth navigation, making it easy for users to interact with the AI-powered features.Exploring AI Image Generation Platforms:Dive deep into the world of AI with an exploration of various image generation platforms, including DALLE-3, MidJourney, and Imagine. Understand how these tools work and discover the unique features they offer for transforming text into images.Integrating Image Generation APIs in React Native:Learn how to connect to AI image generation APIs and generate images based on user input. You'll see step-by-step how to authenticate and make requests to these APIs, handle responses, and display the generated images seamlessly within the app.Downloading and Saving Generated Images:Implement functionality to download the AI-generated images to the device, allowing users to save their creations. You'll also learn how to manage file storage efficiently and ensure the app performs well.Adding Dynamic Lottie Animations:Integrating Lottie animations will take the app to the next level, adding a touch of interactivity and polish. You'll learn how to integrate Lottie files, control animations, and optimize them for a smooth user experience.Why Enroll in This Course?Hands-On Projects: This course is packed with practical examples and hands-on projects, ensuring that you not only understand the concepts but also know how to implement them in real-world scenarios.Step-by-Step Guidance: Each section builds on the previous one, with clear instructions and demonstrations that make complex topics easy to grasp.Suitable for All Skill Levels: Whether you're a complete beginner or an experienced React Native developer, this course will equip you with the skills needed to create AI-driven apps.Who Should Take This Course?React Native Beginners: New to React Native? No problem! We start with the basics and guide you through the entire process step by step.Experienced Developers: Enhance your skills by learning how to integrate AI into your existing React Native projects.Tech Enthusiasts and AI Hobbyists: Curious about AI image generation and want to create your own apps? This course offers a perfect introduction with practical, real-world applications.Unlock the potential of AI-powered app development in React Native and build cutting-edge applications that generate stunning visuals from text. Enroll now to transform your skills and bring your creative ideas to life!
Who this course is for
Anyone who want to build a custom Image Generation Application from scratch
React Native Beginner's looking to build AI powered Applications
Homepage
Код:
https://www.udemy.com/course/ai-image-generation-in-react-native-with-dalle3-mid-journey/
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Код:
Rapidgator
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Free Download AI Job Search Hacks by Julian Sookhoo
Published 10/2024
Created by Julian Sookhoo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 12 Lectures ( 56m ) | Size: 865 MB

Leveraging Artificial Intelligence to Land Your Dream Job
What you'll learn
Leverage AI tools like ChatGPT and Gemini to tailor job applications
Optimize your LinkedIn profile for recruiter visibility using AI insights
Master AI-powered strategies for efficient job search processes
Develop data-driven interview preparation techniques using AI
Requirements
No prior experience with AI is necessary. You will learn everything you need to know.
Description
In today's competitive job market, standing out can feel like an uphill battle-but what if you could harness the power of artificial intelligence to give yourself an edge? Welcome to *AI Job Search Hacks*, the ultimate course designed to help you unlock the full potential of AI tools in your job search!Whether you're just starting out or looking to take the next big leap in your career, this course is your guide to using cutting-edge AI technologies like ChatGPT and Gemini to streamline your job application process, from crafting the perfect resume to nailing your interviews. You'll learn how to decode job descriptions, tailor your LinkedIn profile for maximum visibility, and even negotiate your salary-all with the help of AI-driven insights and tools.This course isn't just about learning theory-it's hands-on. Each module provides practical, step-by-step guidance, so you can immediately apply what you've learned to your job search. Plus, with a bonus section on Teal's AI-powered resume builder, you'll have all the tools you need to stand out to hiring managers.By the end of the course, you'll walk away with an AI-optimized resume, personalized cover letters, and the confidence to tackle interviews and salary negotiations with ease. Enroll now and take the first step toward your next career milestone!Notice: Course images and icons were provided by Freepik - Flaticon and Unsplash
Who this course is for
Job seekers seeking to optimize their search with AI.
Homepage
Код:
https://www.udemy.com/course/ai-job-search-hacks/
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Free Download AI Risk & Security - Secure Coding
Published 10/2024
Created by Yiannis Pavlosoglou,Jim Manico
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8 Lectures ( 1h 58m ) | Size: 1.2 GB

Master AI-Driven Code Generation with Secure, Efficient, and Reliable Development Practices
What you'll learn:
Understand the top 10 risks in AI generated code for 2025.
Harness AI-driven tools like GitHub Copilot while prioritizing security in software development.
Identify and mitigate risks like biases, deprecated practices, and security oversights in AI-generated code.
Apply secure coding principles to prompt engineering, ensuring robust and secure AI-generated code.
Evaluate AI-generated code using metrics like MTTF, MTTR, and cyclomatic complexity to ensure reliability.
Understand the architecture and inner workings of AI language models in software development.
Analyze real-world case studies of secure and insecure AI-generated code for practical insights.
Implement security best practices in AI-assisted software development using ethical considerations.
Avoid legal pitfalls such as unintentional inclusion of GPL-licensed code in AI-generated outputs.
Learn secure coding practices in frameworks like React, including input validation and CSRF protection.
Apply evaluation techniques to assess AI-generated code for security, reliability, and maintainability.
Requirements:
Beginners Welcome. No Advanced AI Experience Needed.
No programming experience needed. Basic programming knowledge is only required.
Familiarity with Software Development Processes.
Basic Understanding of AI Concepts (Optional)
Access to AI Coding Tools (GitHub Copilot, ChatGPT, Gemini, and similar).
Description:
This course bridges the gap between artificial intelligence and secure software development, equipping learners with the skills to harness AI-driven code generation tools while prioritizing security and best practices. By the end of the course, developers, AI enthusiasts, risk managers, and security professionals will be well-prepared to lead the charge in the evolving landscape of AI-assisted software development.Participants will delve into the architecture of AI language models, understanding their inner workings and how they can be effectively utilized in software development. The course starts with an introduction to AI in code generation, covering the history and evolution of AI in coding, and presenting current AI tools and technologies like GitHub Copilot and GPT-4. Learners will get hands-on experience through practical exercises and case studies, contrasting secure and insecure code generated by AI.The curriculum then addresses the benefits and risks of AI code generation, highlighting how AI can increase development speed and efficiency while also presenting potential risks such as biases and deprecated practices in training data. Participants will learn how to mitigate these risks through thorough evaluation and ethical considerations.A dedicated lecture on the top 10 risks for 2025 when it comes to AI code generation guides learners on what controls they need to implement to avoid these risks. This lecture explores the potential pitfalls associated with AI-generated code, such as biases, legal violations, deprecated practices, and security oversights. AI can accelerate development, but it also introduces challenges like algorithmic bias and unintentional inclusion of GPL-licensed code, potentially forcing projects into open-source. Examples, such as recruiting tools discriminating against women and commercial products using GPL-licensed code without proper compliance, highlight the importance of vigilance. The lecture also covers security issues, privacy leaks, logic errors in algorithms, and risks from deprecated APIs, mentioning common breaches. These real-world examples reinforce the need for proper controls and oversight when integrating AI into development workflows.The next two lectures demonstrate the process of transforming human language into secure AI-generated code. Participants learn key secure coding principles and how to craft effective prompts to guide AI models in producing secure code. The demonstration emphasizes prompt engineering, showing the difference between a simple prompt ("Generate a React login form") and a secure one ("Generate a React login form with input validation, CSRF protection, and secure handling against XSS"). Additionally, the lecture discusses secure coding practices in React, such as protecting against XSS attacks and ensuring client-side authentication workflows are robustIn lecture 6, participants will learn how to assess the reliability, security, and quality of AI-generated code using specific evaluation metrics. Key code reliability indicators such as Mean Time to Failure (MTTF), Mean Time to Repair (MTTR), and cyclomatic complexity are discussed. The importance of identifying security gaps, maintaining consistent performance, and fostering trust in AI tools are emphasized.Finally, the last lecture focuses on integrating the evaluation metrics from previous lectures into real-world scenarios. Demos are presented to showcase how these metrics can be applied to ensure that AI-generated code is not only functional but secure and maintainable. The lecture reinforces the idea that developers must "trust but verify" when it comes to AI-generated code, using both automated and manual techniques to confirm that the code meets security and performance expectationsThrough in-depth real-world case studies and expert insights, learners will gain practical knowledge to confidently leverage AI in their coding projects, ensuring the highest standards of security and reliability. This comprehensive course empowers learners to stay ahead of the curve, adapt to new AI advancements, and implement robust security measures in their projects, making it a valuable resource for anyone looking to excel in the field. Enrol today to transform your approach to secure and innovative software development.
Who this course is for:
Software developers, both novice and experienced, who want to integrate AI-driven code generation tools into their development process.
AI enthusiasts interested in applying machine learning to software development.
Security professionals looking to understand and mitigate risks associated with AI-generated code.
Tech leads and project managers aiming to leverage AI for rapid and secure development.
Startup founders who want to accelerate development with AI while ensuring code security.
Students and academics seeking practical knowledge of AI in secure software development.
Industry professionals from sectors like finance, healthcare, and e-commerce interested in AI applications in coding.
Risk managers and auditors who want to better understand the AI risks in code generation.
Homepage
Код:
https://www.udemy.com/course/ai-risk-security-secure-coding/











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Free Download AI SaaS Image Generator & Chatbot - React NextJs TypeScript
Published 10/2024
Created by Ryan Dhungel
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 63 Lectures ( 6h 23m ) | Size: 4 GB

Learn to Create AI Powered SaaS Image Generator and Chatbot App with OpenAI, Google Gemini AI, Replicate AI and PayPal.
What you'll learn
Master React and NextJS to build dynamic, server-side rendered applications using TypeScript for improved code quality and performance.
Gain hands-on experience integrating AI technologies, including Google's Gemini AI and OpenAI, to create advanced image generation and chatbot functionalities.
Learn to implement Clerk authentication for secure user access while exploring server-side actions with MongoDB for efficient data management.
Develop modern SaaS applications using cutting-edge technologies, including PayPal integration for credit-based payment systems.
Create responsive UIs with ShadcnUI and implement dark mode features to enhance user experience in web applications.
Build a comprehensive dashboard to display user-generated images with pagination, including functionalities for image downloads and sharing.
Requirements
Basic knowledge of JavaScript and React is essential for understanding the course material effectively.
Description
React NextJS TypeScript GeminiAI OpenAI Image Generator + ChatbotWelcome to this cutting-edge course that will transform you into a full-stack AI developer! In this comprehensive program, you'll learn to harness the power of React, NextJS, TypeScript, and AI technologies to create stunning web applications with advanced features.What You'll LearnMastering Modern Web DevelopmentYou'll start by diving deep into React and NextJS, two of the most powerful tools in modern web development. Learn how to create dynamic, server-side rendered applications that are fast, efficient, and SEO-friendly. We'll use TypeScript throughout the course, giving you the advantage of strong typing and improved code quality.AI IntegrationGet hands-on experience integrating Google's Gemini AI and OpenAI into your projects. You'll learn how to leverage these cutting-edge AI technologies to add intelligent features to your applications, setting your projects apart in today's competitive tech landscape.Image Generation and ChatbotsCreate an AI-powered image generator that can produce stunning visuals based on text prompts. Then, build a sophisticated chatbot capable of engaging in intelligent conversations. These projects will give you practical experience in implementing AI in real-world applications.Creating a SaaS Application: Understand the key principles of SaaS development. You'll learn how to define your idea, conduct market research, develop a Minimum Viable Product (MVP), and iterate based on user feedback. This knowledge will empower you to create applications that meet real user needs.Authentication and SecurityImplement Clerk authentication to ensure your applications are secure and user data is protected. You'll learn best practices for handling user access and maintaining data integrity in your projects.Database Integration and Server ActionsExplore server-side actions and integrate MongoDB for efficient data management. Learn how to structure your database, perform operations, and optimize your queries for performance.Cloud Services and Image ManagementMaster the art of cloud integration by learning how to upload and manage AI-generated images using Cloudinary. This skill is crucial for handling media in modern web applications.UI/UX and Responsive DesignCreate beautiful, responsive user interfaces using ShadcnUI. Implement dark mode and learn how to craft intuitive user experiences that work seamlessly across devices.Dashboard DevelopmentBuild a comprehensive dashboard to display user-generated images with pagination. You'll learn how to create efficient data displays and implement features like image downloads and sharing.Payment IntegrationIntegrate PayPal to create a credit system within your application. This will teach you how to handle digital transactions and manage user credits, essential skills for any SaaS application.DeploymentFinally, learn how to deploy your full-stack AI SaaS application to Vercel, making it accessible to users worldwide.Course StructureThe course is divided into manageable sections, each focusing on a specific aspect of the development process. You'll start with the basics and progressively build more complex features, ensuring a solid understanding at every step.Project Setup and BasicsSetting up NextJS with ShadcnUICreating a responsive navigationImplementing an animated gradient headlineImage Generation FundamentalsBuilding the image input componentCreating a hero image sliderImplementing image thumbnails and previewsAuthentication and User ManagementIntegrating Clerk authenticationSetting up protected server actionsImplementing toast notifications for user feedbackAI IntegrationConnecting to Replicate AI for image generationImplementing server actions for AI requestsSaving and managing generated imagesDatabase and Cloud StorageSetting up MongoDB for data persistenceCreating image models and schemasIntegrating Cloudinary for image storageDashboard and User InterfaceBuilding a user dashboard with paginationImplementing dark modeCreating image view and sharing pagesPayment and Credit SystemIntegrating PayPal for paymentsImplementing a credit systemManaging user credits and transactionsChatbot DevelopmentIntegrating Google Gemini AI for chatbot functionalityCreating a chat interface with react-chat-uiImplementing OpenAI chatbot capabilitiesFinal Touches and DeploymentRefining the UI with icons and sub-textOptimizing the application for performanceDeploying the project to VercelWhy This Course?This course is designed for developers who want to stay ahead in the rapidly evolving world of web development and AI. By combining React, NextJS, and TypeScript with cutting-edge AI technologies, you'll be equipped to build the next generation of web applications. You'll not only learn how to code these features but also understand the principles behind them, enabling you to adapt to new technologies as they emerge. The projects you'll build are not just academic exercises - they're real-world applications that you can showcase in your portfolio or even turn into your own SaaS product.
Who this course is for
Web developers looking to upgrade their skills with AI integration.
React developers wanting to explore NextJS and TypeScript.
Aspiring full-stack developers interested in building AI-powered applications.
Entrepreneurs looking to create their own SaaS products.
Homepage
Код:
https://www.udemy.com/course/ai-saas-image-generator-chatbot-react-nextjs-typescript/
Screenshot








Код:
Rapidgator
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Free Download AI for Coding - Master Cursor AI for 20X Faster Fullstack App
Published 10/2024
Created by Masynctech Coding School
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 30 Lectures ( 3h 21m ) | Size: 1.8 GB

Master AI for coding with Cursor AI to build fullstack, MERN stack web apps faster,
What you'll learn
How to use Cursor AI to build a fullstack application from scratch
Learn to build Full stack Ebook Store with Payment Integration
Integrating frontend and backend components seamlessly with minimal manual effort.
Master Cursor AI for coding 100X Faster
Master how to use Cursor AI Effectively
Master the technique on how to build Complex Project using Cursor A1
Requirements
No prior knowledge needed
Description
In this course, you'll master the power of AI for coding using Cursor AI and GenAI, enabling you to build fullstack MERN stack web applications faster and more efficiently than ever before. As AI becomes an integral part of development, this course will guide you through the practical application of AI in coding, helping you automate repetitive tasks, optimize code, and focus more on high-level logic and design.Throughout the course, you'll dive deep into the fullstack development process, utilizing Cursor AI to generate frontend and backend code, integrate databases, and build responsive web applications. We'll explore how AI-driven tools can assist in generating, debugging, and optimizing code to drastically reduce development time. With a focus on the MERN stack (MongoDB, Express, React, and Node.js), you'll learn how to leverage AI to streamline the development process across both the frontend and backend.Key areas covered include AI-powered coding, fullstack application development, and automating complex tasks such as API integration and database management. By the end of the course, you will have the skills to build fullstack web apps faster, with enhanced productivity, all while gaining a deeper understanding of how AI can revolutionize the way we approach coding and development in the modern web landscape. This course is ideal for developers at all levels who are ready to embrace the future of coding with AI!
Who this course is for
Beginner developers with basic coding skills looking to build fullstack apps using AI.
Intermediate developers wanting to automate coding tasks with Cursor AI.
Advanced developers seeking to streamline their workflow with AI-driven tools.
Tech enthusiasts eager to explore AI-assisted development and its potential in web apps.
Homepage
Код:
https://www.udemy.com/course/ai-for-coding/
Screenshot








Код:
Rapidgator
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Free Download AI in A Weekend Unlock the Future [2024]
Published 10/2024
Created by Omer Celik
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 132 Lectures ( 6h 55m ) | Size: 3.64 GB

Learn AI, Machine Learning, Deep Learning, Neural Networks and more in a weekend! No coding or tech background needed!
What you'll learn
Comprehensive understanding of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) concepts
How Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) differ from one another
Natural Language Processing (NLP)
Deep Learning and Neural Networks
Large Language Models (LLM)
Artificial Neural Networks (ANN)
Transformer Architecture
Convolutional Neural Networks (CNN)
ChatGPT, BERT, CoPilot, Gemini
Recurrent Neural Networks (RNN)
Machine Learning (ML) Algorithms
Long Short-term Memory Networks (LSTM)
Classification, Regression, and Clustering
Reinforcement Learning Algorithms
Cloud Applications of AI
Association Rule Learning Algorithms
Real-life Applications of AI, ML, and DL
Risks of AI
Ethical AI
Requirements
No technical background needed
No coding experience needed.
No math knowledge needed.
Description
Welcome to our comprehensive course on Artificial Intelligence! You will dive into the world of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), Data Science, and cutting-edge AI technologies such as Generative AI, ChatGPT, LSTM, and Transformers. Designed for learners of all levels, this course covers the fundamental principles and advanced techniques that power modern AI applications.In this course, you will explore:Artificial Intelligence: Understand the basics of AI and its impact on industries, careers, and everyday life.Machine Learning: Learn about supervised, semi-supervised, unsupervised, and reinforcement learning techniques, including regression, classification, and clustering models, along with practical applications from data science such as computer vision, Deep Learning: Explore Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-term Memory Networks (LSTM), mastering concepts like perceptron, backpropagation, gradient descent, and more.Natural Language Processing (NLP): Discover how machines understand and generate human language, from Bag of Words to advanced transformer models and NLP applications.Large Language Models (LLM): Gain insights into the powerful models behind AI text generation, prompt engineering, and fine-tuning for domain-specific applications.Emerging AI Technologies: Stay ahead with the latest developments in cloud AI, generative AI, ChatGPT, CoPilot, Gemini, Autoencoders, Self-Organizing Maps, Boltzmann Machines, and more.Whether you're a beginner looking to start your AI journey or an experienced professional aiming to deepen your knowledge, this course will equip you with the skills and tools to succeed in the ever-evolving field of artificial intelligence. By the end of the course, you'll be able to understand AI/ML models, understand large-scale NLP systems, and leverage cloud computing to power your AI solutions!No technical, coding or math background is needed!Complex topics are broken into digestible lessons, helping people from all backgrounds understand AI core principles and applications.I can't wait to see you in the course!Omer
Who this course is for
Anyone from any background.
Anyone interested in learning Artificial Intelligence, Machine Learning and Deep Learning concepts.
Any professional who wants to add value to themselves, their job and their business.
Any leader, manager and c-suite executive looking to upskill in emerging technologies like AI, ML and DL.
Anyone who is not comfortable with coding but is interested in emerging technologies like AI, ML and DL.
Anyone who wants to be valuable in job market with AI, ML and DL knowledge
Anyone looking for a new career in Artificial Intelligence and Machine Learning field.
Homepage
Код:
https://www.udemy.com/course/ai-in-a-weekend/








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Free Download AI in Content Creation and Social Media Marketing
Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 47m | Size: 1 GB
inspiring talks on the topic of AI. Master AI tools to create compelling content and dominate social media marketing

What you'll learn
Master AI tools like MidJourney, ChatGPT, and Canva to create stunning content effortlessly.
Automate your content creation and publishing process using Zapier, Buffer, and Hootsuite.
Quickly generate high-quality graphics, videos, and texts with AI-powered platforms.
Develop a winning content marketing strategy with AI to boost engagement and growth.
Enhance the quality of your visuals and videos through AI-based post-processing tools like Lightroom and Luminar.
Learn to create professional-grade content in minutes, from idea generation to final product.
Integrate AI into your long-term content strategy to maximize efficiency and results.
Effectively analyze and improve content performance using AI-driven analytics and reporting tools.
Requirements
No prior experience needed-this course is beginner-friendly and covers all essentials from scratch.
Basic familiarity with social media platforms like Instagram and Facebook is helpful but not required.
Access to a computer and internet connection to use AI tools like ChatGPT, MidJourney, and Canva.
A willingness to explore new AI tools and integrate them into your content creation workflow.
Description
Dive into the cutting-edge world of AI-powered content creation and social media marketing. This comprehensive course equips you with the skills to leverage artificial intelligence in crafting compelling content and dominating the social media landscape.You'll learn:How AI is revolutionizing content creation and social media strategiesPractical applications of AI tools for generating visuals and written contentTechniques for using AI in audience targeting and personalizationStrategies for maintaining brand authenticity in an AI-driven worldAdvanced AI applications for trend analysis and predictive marketingThrough hands-on projects and real-world case studies, you'll master the art of blending AI capabilities with human creativity. Discover how to use AI for content calendars, performance analytics, and community building while maintaining your brand's unique voice.Whether you're a seasoned marketer looking to upgrade your skills or a content creator aiming to stay ahead of the curve, this course provides the knowledge and tools you need to thrive in the AI era of digital marketing.By the end of the course, you'll be able to:Implement AI tools in your content creation workflowDevelop AI-assisted social media marketing strategiesUse AI for data-driven decision making in your campaignsNavigate the ethical considerations of AI in marketingJoin us and become a pioneer in the future of AI-powered content and social media marketing!
Who this course is for
Marketers, content creators, and entrepreneurs who want to enhance and automate content creation.
Anyone curious about how AI can streamline and supercharge their marketing efforts.
Business owners looking to scale their content strategy with AI-driven tools.
Homepage
Код:
https://www.udemy.com/course/ai-content-and-marketing/
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Free Download AI-Driven Market Analysis & Prediction (2024)
Published 10/2024
Created by Peter Alkema,Media Training Worldwide Digital
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 107 Lectures ( 5h 14m ) | Size: 6 GB

Master AI in Marketing: From Predictive Analytics to Customer Insights,Sentiment Analysis & Sales Forecasting Techniques
What you'll learn
Explain the basic concepts of artificial intelligence in the context of marketing strategies.
Analyze how AI is transforming traditional marketing approaches using case studies.
Apply AI techniques for comprehensive market analysis to uncover consumer insights.
Evaluate the role of data quality in predictive analytics for market forecasting.
Collect and preprocess data effectively for AI-driven marketing analysis.
Distinguish between different types of data and their relevance in marketing strategies.
Use machine learning models to predict future consumer trends and behavior.
Compare and contrast supervised and unsupervised learning in marketing applications.
Develop predictive analytics models to identify emerging market opportunities.
Visualize market analysis data effectively using contemporary data visualization tools.
Segment consumer markets using AI techniques to enhance campaign results.
Anticipate customer actions by building predictive models based on behavior analysis.
Assess the ethical implications of predictive customer behavior analysis in digital marketing.
Leverage AI tools to identify and capitalize on emerging market trends.
Ensure data privacy and ethical compliance when using AI in market analysis.
Select appropriate AI tools for market analysis based on capabilities and features.
Evaluate successful AI-driven marketing strategies through real-world case studies.
Address common challenges and limitations of AI in predictive market analysis.
Apply AI-driven insights for competitive analysis and benchmarking to gain strategic advantage.
Forecast sales and revenue growth accurately using AI predictive modeling techniques.
Requirements
There are no requirements or pre-requisites for this course, but the items listed below are a guide to useful background knowledge which will increase the value and benefits of this course.
Basic understanding of marketing principles and strategies.
Familiarity with using computers and accessing the internet for research.
Interest in data analysis and willingness to learn about artificial intelligence applications in marketing.
Description
Are you ready to revolutionize your marketing strategies with the power of artificial intelligence? Welcome to our comprehensive course on "AI in Marketing and Market Analysis." In today's fast-paced digital landscape, understanding and harnessing the capabilities of AI is crucial for staying ahead of the competition and reaching your target audience effectively. Our team of experts has designed this course to equip you with the knowledge and skills needed to leverage AI for market analysis, customer behavior prediction, trend identification, and campaign optimization. With a focus on practical applications, real-world case studies, and hands-on projects, you will not only learn the theoretical concepts but also gain valuable experience in implementing AI-driven strategies in your marketing campaigns.Throughout the course, you will explore fundamental AI concepts tailored specifically for marketers, delve into data collection and analysis methods, understand machine learning for market prediction, and master the art of predictive analytics. You will learn how to visualize complex market data, segment consumer markets efficiently, and analyze customer behavior to anticipate trends and drive personalized marketing campaigns.Dive deep into the ethical considerations of using AI in marketing, discover the latest tools and features for market analysis, and explore real-world case studies of successful AI-driven marketing strategies. From competitive analysis to customer journey mapping, sentiment analysis, and sales forecasting, you will gain a holistic understanding of how AI can transform your marketing efforts and drive revenue growth.As you progress through the course, you will develop essential skills for interpreting market trends, optimizing campaigns in real-time, and integrating AI seamlessly into your marketing team. Whether you are a beginner looking to enhance your marketing toolkit or a seasoned professional aiming to stay at the forefront of innovation, this course offers valuable insights and hands-on experience to propel your career forward.By the end of the course, you will be equipped to anticipate market opportunities, refine your marketing strategies based on AI insights, and navigate the complexities of data privacy and ethical AI use. Join us on this transformative journey to unlock the full potential of AI in marketing and position yourself as a strategic leader in the ever-evolving digital marketplace.Don't miss this opportunity to elevate your marketing skills, drive business growth, and stay ahead of the curve in today's competitive landscape. Enroll now and take your marketing expertise to the next level with AI in Marketing and Market Analysis. Let's embark on this exciting journey together!
Who this course is for
Digital marketing professionals seeking to integrate AI tools into their strategies.
Market analysts looking for advanced techniques in predictive analytics and data visualization.
Content creators and brand managers aiming to leverage AI for content marketing and sentiment analysis.
E-commerce managers interested in AI-driven market segmentation and consumer behavior analysis.
Marketing team leads focused on adopting AI for competitive analysis, benchmarking, and campaign optimization.
Business strategists and entrepreneurs wanting to understand the future trends in AI-driven marketing for strategic planning.
Homepage
Код:
https://www.udemy.com/course/ai-driven-market-analysis-prediction-q/
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Free Download AI-Driven Marketing Scale Your Business with Smart AI Tools
Published 10/2024
Created by Tanmoy Das
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 33 Lectures ( 1h 59m ) | Size: 1.3 GB

Leverage AI to optimize marketing strategies, boost sales, and automate processes for faster business growth.
What you'll learn:
Use AI in your Email marketing to increase open rates and optimize delivery.
Use AI to determine the ideal time to deliver an email to each of your subscribers, helping you exponentially increase your email open rates.
Leverage ChatGPT to build a full marketing campaign from beginning to end.
Create an email sequence utilizing ChatGPT.
Examine feedback and enhance your products and services via ChatGPT.
Learn how to use Artificial Intelligence tools to boost your sales and marketing.
Use AI in your Social Media Marketing automatically creates engaging content for your fans in minutes!
Use AI to take care of all your customer service requests via chat or social media.
Craft optimized social media content using ChatGPT.
Develop Facebook advertisements using ChatGPT.
Use AI in your Content marketing, to write content 5X faster.
Use AI to discover the exact changes you need to make to outrank your competitors and rank #1 on Google.
Employ ChatGPT for audience investigation and evaluation.
Design a sales page text with the help of ChatGPT.
Use AI to outrank your competitors.
Use AI to help you understand customer behavior and make decisions faster.
Chat and messaging to automate customer service and sales.
Generate an SEO-friendly blog post in no time with ChatGPT.
Produce Google ads with assistance from ChatGPT.
Requirements:
No prior knowledge is required. This is a complete marketing automation course from beginner to advanced.
During the course we recommend marketing automation tools, you will need to create account in those tools to implement the strategies.
Description:
Hi Guys,Welcome to my AI-Driven Marketing: Scale Your Business with Smart AI Tools course!In my course you will learn everything about how to use AI Tools in Marketing to your Business. I have created video lessons on every feature of AI Tools. You will get to see the real practical implementation of how to use every feature of this tools.This is the most detailed course on use of AI Tools in Marketing to your Business you will ever find on the internet. I have created different sections based on each AI tool and in each section, I have gone in-depth into explaining the concept of the tool and how to practically implement it.This course will give you a 100% understanding of how to use AI Tools in Marketing to your Business and after going through this course you will be capable of applying these concepts in building your own online business or for your clients.You're going to get 32 detailed video lessons. A complete access to our student discussion forum, and the ability to ask me any questions you may have as you progress through the class.On top of all that, you get lifetime access and a 30-day, 100% money back guarantee!Topics you will learn in this course:- What is Artificial Intelligence (AI) and why is it important for your business?- How the world's top brands are using AI marketing- Examples and Uses of AI in Digital Marketing- Create a PRO Website with AI- Customizing Your Website with AI- How to choose the right AI tool for your business- Introduction to AI for Email Marketing- Tool #1: Email delivery optimization- Tool #2: Identify what your contacts are looking for- Tool #3: Optimize Subject lines and email copy automatically- Tool #4: Write personalized email automatically- What is content automation and why is it important for your business?- Artificial Intelligence for Content Automation- Tool #1: Content generation for Website, Blogs and Social Media- Tool #2: Transcribing your videos automatically and Descript- Tool #3: Grammarly- What are chatbots and why they are important for your business- Tool #1: Manychat - Creating your account- Creating a chatbot for Facebook- Accessing the chat data and conversation history- Customizing your chatbots for other goals- Creating chatbot for Instagram, SMS or WhatsApp- Installing the Chatbot on your website- Introduction to AI Social Media Tools and why it's important for your business- Tool: Lately - Auto Generated Social Media posts- Introduction to AI For SEO of your website- Artificial Intelligence tools for SEO- What is AI Analytics and why it's important for your business- Tool: Amplitude - The #1 Analytics Tool foe Product Teams- What is marketing analytics automation and how it will save you time- Tool: Whatagraph - Marketing Analytics Automation for your business- Potential challenges in AI marketing and how to overcome themThank you so much for checking out my course. I look forward to seeing you in the course. So, wait no more!Click on the 'Buy now' button and join my course today!! Also check out my other courses!!
Who this course is for:
Entrepreneurs.
Freelancers.
Business owners.
Digital Marketing Professionals.
Homepage
Код:
https://www.udemy.com/course/ai-driven-marketing-scale-your-business-with-smart-ai-tools/

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Free Download AI-Powered Developer, Video Edition by Nathan Crocker
Released 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 4h 8m | Size: 635 MB
Use groundbreaking generative AI tools to increase your productivity, efficiency, and code quality.

AI coding tools like ChatGPT and GitHub Copilot are changing the way we write code and build software. AI-Powered Developer reveals the practical best practices you need to deliver reliable results with AI. It cuts through the hype, showcasing real-world examples of how these tools ease and enhance your everyday tasks, and make you more creative.
In AI-Powered Developer you'll discover how to get the most out of AI
Harness AI to help you design and plan software
Use AI for code generation, debugging, and documentation
Improve your code quality assessments with the help of AI
Articulate complex problems to prompt an AI solution
Develop a continuous learning mindset that keeps you up to date
Adapt your development skills to almost any language
AI coding tools give you a smart and reliable junior developer that's fast and keen to help out with your every task and query. AI-Powered Developer helps you put your new assistant to work. You'll learn to use AI for everything from writing boilerplate, to testing and quality assessment, managing infrastructure, delivering security, and even assisting with software design.
About the Technology
Using AI tools like Copilot and ChatGPT is like hiring a super-smart and super-fast junior developer eager to take on anything from research to refactoring. Coding with AI can help you work faster, write better applications, and maybe do things that aren't even possible with your current team. This book will show you how.
About the Book
AI-Powered Developer: Build software with ChatGPT and Copilot teaches you in concrete detail how to maximize the impact of AI coding tools in real-world software development. In it, you'll walk through a complete application, introducing AI into every step of the workflow. You'll use ChatGPT and Copilot to generate code and ideas, make predictive suggestions, and develop a self-documenting application. You'll also learn how AI can help test and explain your code.
What's Inside
Use AI to design and plan software
Code generation, debugging, and documentation
Improve code quality assessments
Work with unfamiliar programming languages
About the Reader
For intermediate software developers. No AI experience necessary.
About the Author
Nathan B. Crocker is Cofounder and CTO at Checker Corp.
The technical editor on this book was Nicolai Nielsen.
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Free Download AKYLADE Certified Cyber Resilience Fundamentals exam prep
Published 10/2024
Created by Dwayne Natwick
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 11 Lectures ( 8h 50m ) | Size: 2.53 GB

Master the fundamentals of the NIST Cybersecurity Framework and start your cybersecurity journey
What you'll learn:
The origin and original purpose of the Cybersecurity framework
The applicability of the framework across industries and sectors
The three fundamental parts of the framework: the Core, the Implementation Tiers, and the Profiles
The six functions (Govern, Identify, Protect, Detect, Respond, and Recover) to the NIST Cybersecurity Framework
The 22 categories (activities), and 106 subcategories (outcomes) under each of the six functions
The purpose, utility, and intended use of the Implementation Tiers, Profiles, and Informative References
Requirements:
This is a foundational course that does not have any prerequisites.
Description:
The AKYLADE Certified Cyber Resilience Fundamentals (A/CCRF) certification is designed to test your theoretical knowledge of the NIST Cybersecurity Framework (CSF) and how to plan, manage, and optimize the framework for use within your own organization. This includes: The origin and original purpose of the frameworkThe applicability of the framework across industries and sectorsThe three fundamental parts of the framework: the Core, the Implementation Tiers, and the ProfilesThe six functions (Govern, Identify, Protect, Detect, Respond, and Recover), the 22 categories (activities), and 106 subcategories (outcomes) under each of the six functionsThe purpose, utility, and intended use of the Implementation Tiers, Profiles, and Informative ReferencesNo matter what skill level you are, this course will provide you with the information to help you to master the fundamentals of the NIST Cybersecurity Framework and start your cybersecurity journey. This course will provide you with all the information that is needed to pass the A/CCRF exam. This course is provided by Captain Hyperscaler, an AKYLADE Authorized Training Partner, and delivered by Authorized Instructor, Dwayne Natwick.Included with this course are the official AKYLADE practice exams. I hope that you enjoy this course and best of luck on the A/CCRF exam.
Who this course is for:
The A/CCRF certification is designed to test your theoretical knowledge of the NIST Cybersecurity Framework (CSF) and how to plan, manage, and optimize the framework for use within your own organization
Homepage
Код:
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