Advanced Post Graduate Program In Generative AI

• Simplified Explanation of AI Concepts
• Ethics and Governance in AI
• Basics of AI Algorithms and Data-Driven Decision-Making
• AI Applications in Everyday Life

• AI in Healthcare, Finance, Retail, Manufacturing, and Other Sectors
• Case Studies and Real-World Examples
• Identifying AI Opportunities (Interactive Session)

• Introduction to Generative AI
• Survey of LLMs (GPT, BERT, T5, LLama, Gemini, Mistral, Perplexity)
• Hands-on Demonstration (Text, Image, and Media Generation)

• Basics of Python Programming
• Control Flow and Decision Making
• Loops in Python
• Functions in Python
• Python Data Structure
• Working with Strings
• File Handling in Python

• Project 1: Creative AI (Storyboarding & Video Generation)
• Project 2: AI in Data Analysis
• Project 3: AI-Driven ERP Solution for Retail

• Frameworks for AI Solutioning
• AI in Product Management
• Agile Methodologies and Design Thinking for AI

• Overview of RPA and its Business Applications
• AI-Powered RPA and Intelligent Automation
• Hands-on: Building Simple RPA Bots

• Explainable AI and Ethical AI
• AI in IoT and Edge Computing
• Capstone Discussion and Q&A

• Introduction to AI Ethics: Principles and Guidelines
• Bias in AI: Detection, Mitigation, and Case Studies
• Explainability and Interpretability in AI Models
• Privacy and Data Security in AI Systems

• Understanding Prompts and Their Role in AI
• Types of Prompting: Zero-Shot, One-Shot, Few-Shot Learning
• Advanced Techniques: Chain-of-Thought (CoT), SelfConsistency, Tree of Thoughts
• Hands-on Exercises: Enhancing Model Outputs with Effective Prompts

• Introduction to RAG and How It Works
• Integrating Vector Databases for Efficient Search (e.g., FAISS, Pinecone)
• Implementing RAG in LLM Applications
• Hands-on Project: Building a Q&A System with RAG

• Understanding Model Fine-Tuning vs. Pretraining
• Data Preparation and Dataset Selection for Fine-Tuning
• Tools for Fine-Tuning: Hugging Face Transformers, LoRA, QLoRA
• Hands-on: Fine-Tuning a Pretrained LLM on Custom Data

• Introduction to AI Agents and Autonomous Systems
• Multi-Agent Systems and Reinforcement Learning for AI Agents
• Tools for AI Agents: LangChain, Auto-GPT, BabyAGI
• Hands-on: Building an AI Agent for Automating Tasks

Students apply their learning to create a real-world AI solution

Options:

• AI-powered Chatbot with RAG
• AI Agent for Workflow Automation
• Fine-Tuned LLM for Industry-Specific Applications