Mastering Generative AI & Agentic AI: From LLMs to Multi-Agent Systems

About the Course:

This comprehensive hands-on course takes you from the fundamentals of AI, ML, and Deep Learning to advanced real-world applications of Generative AI (Gen AI) and Agentic AI. You will learn how to build and deploy Gen AI applications using LangChain, Vector Databases, RAG architectures, AI Agents, and Multi-Agent Systems with live projects. The course also covers emerging protocols like MCP, A2A, reasoning models, safety evaluation, fine-tuning with LoRA & QLoRA, and addresses ethical challenges in Generative AI.

Course Objective:

• AI Family Tree: ML, DL, Gen AI, Agentic AI - clear conceptual foundations
• Understand LLMs, how they work, context window, sampling methods
• Build Gen AI applications using LangChain, Prompt Engineering, Groq, Ollama
• Work with Vector Databases: ChromaDB - storing, querying, filtering embeddings
• Build full RAG (Retrieval Augmented Generation) pipelines
• Create real-world business projects like:
• • Real Estate Assistant (RAG)
  • E-commerce chatbot with routing, database, and web scraping
• Build Agentic AI applications using:
• • Llama + Agno framework
  • Reasoning Agents
  • Multi-Agent Systems
  • Model Context Protocol (MCP)
  • Agent-to-Agent Protocol (A2A)
• Agentic AI evaluation frameworks - functional, safety, and operational metrics
• Fine-tuning LLMs using LoRA, QLoRA, and Unsloth for custom domain applications
• Ethics, legal, privacy, hallucination, bias, and environmental concerns in Gen AI

Who is the Target Audience?

• Data Scientists and ML Engineers who want to upgrade their skills in Generative AI and Agentic AI.
• Software Developers and Python Programmers who want to build real-world Gen AI applications using LangChain, Agno, MCP, and other modern frameworks.
• AI Enthusiasts who want a complete practical roadmap from fundamentals to advanced Gen AI implementations.
• Tech Founders, CTOs, and Product Managers seeking to understand Gen AI capabilities, architecture, and real-world use cases to build AI-powered products.
• AI Researchers and Students who want hands-on exposure to cutting-edge AI agent frameworks, multi-agent systems, and evaluation protocols.
• BPM, BPO, and Enterprise Professionals who want to automate processes and build business-focused AI automation using Agentic AI frameworks.
• Career switchers and freshers looking for highly industry-relevant, job-oriented AI skills with real-world projects.
• Freelancers and Consultants who want to build custom Gen AI solutions for clients across domains like Real Estate, E-Commerce, Finance, and more.
• Academicians and Trainers who want to stay ahead by mastering the latest Generative AI and Agentic AI technologies for teaching or content development.

Basic Knowledge:

• Basic understanding of Python programming
• Familiarity with machine learning (supervised & unsupervised ML basics)
• Some exposure to NLP will be helpful (not mandatory)
• Familiarity with APIs, REST, JSON and will be an added advantage
• No prior knowledge of Gen AI or LangChain is required - we will start from scratch