This hands-on course explores the rapidly growing field of Generative AI using Large Language Models (LLMs). You’ll learn how these models work, how to fine-tune them, and how to build powerful AI applications using tools like OpenAI, Hugging Face, and LangChain.

Registration Link

Click Here to Reserve your spot

Description

This hands-on course explores the rapidly growing field of Generative AI using Large Language Models (LLMs). You’ll learn how these models work, how to fine-tune them, and how to build powerful AI applications using tools like OpenAI, Hugging Face, and LangChain.

No prior experience with deep learning is necessary. The course walks you through the fundamentals of transformer models, prompt engineering, embeddings, and deploying generative apps using both low-code and Python-based workflows.

By the end, you’ll be able to create chatbots, content generators, knowledge assistants, and more using GenAI technologies.

Who should join this course?

1. AI enthusiasts curious about ChatGPT and GenAI
2. Developers and data scientists exploring LLMs
3. Product managers and founders wanting to build GenAI apps
4. Educators and researchers experimenting with AI content tools
5. No prior GenAI or LLM experience required

Duration of the Course:

The course spans 5 weeks with 10 live sessions of 1 hour each, including demos and capstone project work.

Fees:

19,999 INR 11,999 INR

Early bird offer valid till May 1, 2025

Class Timings:

Evening and weekend sessions for flexibility. Each session is 1 hour long.

Class Location:

Nanakramguda
Financial District
Hyderabad, Telangana 500032
https://goo.gl/maps/3axoeniVrnfSR1Mf8

Registration Link

Click Here to Reserve your spot

What will you Learn?

Module 1: Introduction to Generative AI

1. What is GenAI and why is it revolutionary?
2. Real-world use cases and industry trends
3. Popular LLMs: GPT-4, Claude, LLaMA, Mistral

Module 2: Understanding LLM Architecture

1. What are transformers and attention mechanisms
2. Pre-training, fine-tuning, and RLHF
3. Tokenization, embeddings, and inference pipelines

Module 3: Prompt Engineering

1. Basics of prompting and temperature control
2. Few-shot, zero-shot, and chain-of-thought prompting
3. Designing effective and safe prompts

Module 4: Building with Hugging Face

1. Using Transformers library and model hub
2. Text generation with open-source models
3. Inference APIs and hosted endpoints

Module 5: Using OpenAI and LangChain

1. Accessing GPT models via API
2. LangChain for chaining tools and prompts
3. Creating RAG-based assistants with vector databases

Module 6: Fine-tuning and LoRA

1. Intro to parameter-efficient fine-tuning
2. Training on custom datasets using LoRA
3. Hosting fine-tuned models

Module 7: Building Real-World GenAI Apps

1. End-to-end chatbot using Streamlit + LangChain
2. Document summarization and Q&A bots
3. Generating reports, blogs, and code

Module 8: Ethics, Risks, and Safety

1. AI hallucination and mitigation strategies
2. Bias, safety guidelines, and responsible use
3. Regulatory trends and open-source alternatives

Module 9: Capstone Project

1. Choose a GenAI use case
2. Build and demo a working app
3. Peer feedback and mentorship

Module 10: Certification and Career Support

1. Final assessment and certificate
2. Portfolio-building and showcasing your work
3. Communities, hackathons, and further learning

Registration Link

Click Here to Reserve your spot

Disclaimer

Generative AI is advancing rapidly. This course offers a hands-on foundation, and learners are encouraged to keep exploring new models and tools as the field evolves.