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Generative AI Complete

Master the AI Revolution​

Course Code: GEN-AI-101
Duration: 12 Weeks
Level: Beginner to Intermediate
Platform: inskillflow Academy


Course Overview​

Welcome to the most comprehensive course on Generative AI! This program will take you from understanding the fundamentals to mastering advanced applications of AI that creates content.

Whether you're a professional looking to leverage AI in your work, a manager making strategic decisions about AI adoption, a creator exploring new tools, or a developer building AI-powered applications, this course has something valuable for you.

Learning Objectives​

By the end of this course, you will be able to:

  • Understand how generative AI works at a conceptual level
  • Use major AI tools like ChatGPT, DALL-E, Midjourney, and more
  • Create effective prompts for text, image, audio, and video generation
  • Build AI-powered applications using APIs
  • Evaluate ethical considerations and business implications
  • Stay current with the rapidly evolving AI landscape

Teaching Methodology​

70% Practical Application - 30% Theory

Each module combines:

  • Clear theoretical explanations
  • Real-world examples and case studies
  • Hands-on exercises
  • Interactive quizzes (30 questions per module)

Course Structure - 12 Modules​

Module 1: Introduction to Generative AI​

Duration: 1 Week

Content:

  • What is Generative AI?
  • History and Evolution
  • Generative vs Traditional AI

Objectives:

  • Understand the fundamental concepts of generative AI
  • Learn about the history and key milestones
  • Distinguish between generative and discriminative AI

Module 2: How Generative AI Works​

Duration: 1 Week

Content:

  • Neural Networks Basics
  • Transformers Architecture
  • Training and Learning Process

Objectives:

  • Understand how neural networks learn
  • Learn about the transformer architecture
  • Understand pre-training, fine-tuning, and RLHF

Module 3: Text Generation​

Duration: 1 Week

Content:

  • Large Language Models (LLMs)
  • ChatGPT, Claude, and Competitors
  • Applications and Use Cases

Practical Exercises:

  • Exploring different LLMs
  • Writing effective prompts
  • Comparing model outputs

Module 4: Image Generation​

Duration: 1 Week

Content:

  • Diffusion Models Explained
  • DALL-E, Midjourney, Stable Diffusion
  • Creating Effective Image Prompts

Practical Exercises:

  • Generating images with different platforms
  • Mastering prompt engineering for images
  • Understanding style and composition

Module 5: Audio and Music Generation​

Duration: 1 Week

Content:

  • Text-to-Speech Technologies
  • Music Generation AI
  • Voice Cloning and Ethics

Practical Exercises:

  • Creating natural-sounding speech
  • Generating music with AI
  • Understanding ethical considerations

Module 6: Video Generation​

Duration: 1 Week

Content:

  • Text-to-Video Models
  • Sora, Runway, and Others
  • Video Editing with AI

Practical Exercises:

  • Creating AI-generated videos
  • Editing with AI assistance
  • Understanding current limitations

Module 7: Code Generation​

Duration: 1 Week

Content:

  • GitHub Copilot and Alternatives
  • AI-Assisted Development
  • Best Practices and Limitations

Practical Exercises:

  • Using code completion tools
  • Debugging with AI
  • Security best practices

Module 8: Multimodal AI​

Duration: 1 Week

Content:

  • Combining Text, Image, Audio
  • GPT-4 Vision and Beyond
  • Future of Multimodal Systems

Practical Exercises:

  • Using vision capabilities
  • Analyzing documents with AI
  • Exploring multimodal applications

Module 9: Business Applications​

Duration: 1 Week

Content:

  • Marketing and Content Creation
  • Customer Service Automation
  • Product Design and Innovation

Case Studies:

  • Real-world business implementations
  • ROI analysis and best practices

Module 10: Building with Generative AI​

Duration: 1 Week

Content:

  • APIs and Integration
  • Building AI-Powered Apps
  • No-Code/Low-Code Solutions

Practical Exercises:

  • Using OpenAI and Anthropic APIs
  • Building a simple AI application
  • Exploring no-code tools

Module 11: Ethics and Governance​

Duration: 1 Week

Content:

  • Bias and Fairness
  • Copyright and Ownership
  • Regulation and Compliance

Discussions:

  • Ethical frameworks for AI use
  • Navigating the legal landscape

Module 12: Future of Generative AI​

Duration: 1 Week

Content:

  • Emerging Trends
  • AGI and Beyond
  • Preparing for the AI Future

Final Project:

  • Comprehensive application of learned concepts

Course Progress​

StatusModuleLink
✅ CompleteModule 1 - Introduction to Generative AIStart
✅ CompleteModule 2 - How Generative AI WorksStart
✅ CompleteModule 3 - Text GenerationStart
✅ CompleteModule 4 - Image GenerationStart
✅ CompleteModule 5 - Audio and Music GenerationStart
✅ CompleteModule 6 - Video GenerationStart
✅ CompleteModule 7 - Code GenerationStart
✅ CompleteModule 8 - Multimodal AIStart
✅ CompleteModule 9 - Business ApplicationsStart
✅ CompleteModule 10 - Building with Generative AIStart
✅ CompleteModule 11 - Ethics and GovernanceStart
✅ CompleteModule 12 - Future of Generative AIStart

🎉 Course Complete!​

All modules are ready with complete content and interactive quizzes (30 questions per module).


📖 Additional Resources​

ResourceDescription
📚 Glossary150+ AI terms with definitions
🔗 ResourcesTools, platforms, papers, and communities
🎯 Final Exam50 comprehensive questions

Start Now!​

Explore the modules from the sidebar and begin your journey to mastering Generative AI!

Good luck with your learning journey!


Last updated: December 2024


📊 Course Statistics​

ItemCount
Modules12
Chapters36+
Quiz Questions360
Estimated Learning Hours40+