Generative AI Weekend Course – 2 Months (32 Hours)
Module 1: Introduction to Generative AI
- Evolution: ML → Deep Learning → Gen AI
- Types of Gen AI models (GPT, Claude, LLaMA, etc.)
- Real-world applications & trends
- Benefits of Agile in Real-World Scenarios
Module 2: Tokenization
- What is tokenization
- Tokenization demo (OpenAI tokenizer, Hugging Face)
Module 3: Embeddings
- Embeddings in depth (vectors & meaning)
- Hands-on: Semantic search demo
- Visualization of embedding
Module 4: LLM Internals – How Models Process Tokens
- Attention mechanism explained visually
- From tokens → context → output
Module 5: Retrieval Augmented Generation (RAG)
- Retrieval Augmented Generation (RAG) concepts
- Building a simple chatbot with RAG
Module 6: Prompt Engineering Fundamentals
- Zero-shot, few-shot, chain-of-thought prompting
- Best practices for effective prompts
- Hands-on exercises
Module 7: AI Model Fine-Tuning
- Fine-Tuning Concept
- Open-source model fine-tuning demo
Module 8 : Gen AI Project Lifecycle
- Gen AI Project Lifecycle – Planning
- Development & QA in Gen AI Projects
- Deployment & Monitoring
- Project Management & Success Metrics
Module 9 : Business Opportunities in Gen AI
- AI-powered products & SaaS ideas
- Monetization strategies (subscription, consulting, marketplaces)
- Case studies of successful AI startups