Overview
Generative AI
This course introduces the fundamentals of generative AI, covering key concepts, tools, and techniques used to create text, images, music, and more using models like GPT and diffusion networks. Students will learn practical applications, ethical considerations, and hands-on skills for building AI-generated content.
Our Trainers
Akarsh vyas
an enthusiastic and dedicated educator with over four years of experience in teaching and mentoring students. With a strong foundation in computer science and a deep commitment to student success, I have guided more than 4500 learners through their academic and professional journeys—especially in areas like Data Structures, Algorithms, and problem-solving skills.
Modules
Day 1: Python Basics - Foundations
Day 2: Functions, Lists & Tuples
Day 3: Dictionaries, Sets & Strings
Day 4: Object-Oriented Programming (OOP)
Day 5: Python Essentials for AI Work
Day 6: Introduction to LangChain + LLMs
Day 7: Prompt Templates + Chains
Day 8: Memory & Conversation Chains
Day 9: Working with Tools + Agents
Day 10: Retrieval (RAG) + Project Day
Goal: Teach Retrieval Augmented Generation (RAG) + final project.
Outcomes
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Write clean Python code using functions, loops, conditionals, and OOP.
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Use key libraries like
pandas,requests, and virtual environments for AI tasks. -
Handle files, APIs, and data for real-world AI workflows.
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Understand LLMs and integrate them using LangChain.
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Build smart apps with prompts, chains, memory, tools, and agents.
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Apply RAG to create bots that use custom data like PDFs.
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Complete a practical AI project such as a chatbot or FAQ assistant.
