Table of Contents - Generative AI for Beginners
| Module | Topic | Description |
|---|---|---|
| 01: Introduction to Generative AI | Introduction to Generative AI | Understanding the basics of generative AI and its applications |
| 02: Exploring and Comparing Different LLMs | Exploring Different LLMs | Comparing various Large Language Models and their capabilities |
| 03: Using Generative AI Responsibly | Using AI Responsibly | Understanding ethical implications and responsible AI usage |
| 04: Prompt Engineering Fundamentals | Prompt Engineering Fundamentals | Learning the basics of effective prompt writing techniques |
| 05: Advanced Prompts | Advanced Prompts | Exploring advanced prompt engineering strategies |
| 06: Text Generation Apps | Text Generation Applications | Building applications focused on text generation |
| 07: Building Chat Applications | Chat Applications | Creating interactive chat applications with generative AI |
| 08: Building Search Applications | Search Applications | Implementing AI-powered search functionality |
| 09: Building Image Applications | Image Applications | Working with generative AI for images |
| 10: Building Low Code AI Applications | Low-Code AI Applications | Creating AI applications with minimal coding |
| 11: Integrating with Function Calling | Function Calling | Integrating AI models with function calling capabilities |
| 12: Designing UX for AI Applications | UX Design for AI | Designing effective user experiences for AI applications |
| 13: Securing AI Applications | Security in AI | Best practices for securing AI applications |
| 14: The Generative AI Application Lifecycle | AI Application Lifecycle | Understanding the complete lifecycle of AI applications |
| 15: RAG and Vector Databases | RAG and Vector Databases | Working with Retrieval Augmented Generation and vector databases |
| 16: Open Source Models | Open Source Models | Exploring open source generative AI models |
| 17: AI Agents | AI Agents | Understanding and building AI agent systems |
| 18: Fine-tuning Models | Fine-tuning Models | Techniques for fine-tuning generative AI models |
| 19: Small Language Models | Small Language Models | Working with Small Language Models |
| 20: Mistral AI | Mistral AI | Exploring Mistral AI models and capabilities |
| 21: Meta AI | Meta AI | Understanding Meta’s AI models and technologies |
Note: Click on each module link to access detailed content.
Note: You can get the content of this course from the GitHub repository. To access Code Samples check out this learning path.