Project-Based Generative AI Learning Track

  • The Generative AI Project-Based Track is a hands-on learning program featuring five structured projects, progressing from an LLM-powered chatbot to a multimodal AI system. With step-by-step guides, you'll gain practical experience in working with Generative AI, understanding LLMs, multimodal AI, and agent-based workflows, helping you build real-world AI projects with confidence.
5,178.00

Material Includes

  • Python Codes
  • Explanatory Guides
  • Handout Notes

What I will learn?

  • Develop AI-powered chatbots using LLMs like Gemini and GPT-4o for customer interactions.
  • Implement Retrieval-Augmented Generation (RAG) to enhance chatbot accuracy with document-based responses.
  • Integrate multi-modal AI capabilities by combining text retrieval with image analysis for advanced support systems.
  • Build AI-driven automation workflows using multi-agent systems for tasks like proposal drafting and document processing.

Course Curriculum

Introduction and Overviews

  • Expectation Setting

Project 1: Build Your First LLM-Based Chat Support System

Project 2 : Developing a Business-Specific LLM-Powered Chat Support System with PDF Integration

Project 3 : Building a RAG-Powered Sales Chatbot

Project 4 : Developing a Multi-Modal AI Support System with RAG and Image Analysis

Project 5 : AI-Driven Multi-Agent System for Proposal Drafting Workflow

Q&A
Answer the MCQs based on your learning in this program and earn a certifcate.

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