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Hands-on Generative AI Course

Learn, Build, Deploy and Apply Generative AI

7 Weeks Course

Classes on Tue, Wed, Thurs (9PM IST - 11PM IST)

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Hands-on Generative AI Course

Week 1

Foundations of Generative AI

Introduction to AI
Mathematical Foundations for AI
Probability, Statistics, and Linear Algebra
Basics of Neural Networks
Gradient Descent and Optimization Basics
Architectures: Feedforward, RNN, and CNN
Mini Project 1 - Build a Simple Neural Network Using TensorFlow
Mini Project 2 - Train an Autoencoder on the MNIST Dataset

Week 2

Deep Generative Models

Discriminative and Generative models
Generative Adversarial Networks (GANs)
DCGAN and StyleGAN
Variational Autoencoders (VAEs)
Probabilistic Data Generation Using VAEs
Introduction to Diffusion Models
Basics of DDPMs and Applications
Mini Project 3 - Implement a GAN to Generate Handwritten Digits
Mini Project 4 - Train a VAE to Generate Faces Using the CelebA Dataset

Week 3

Transformers and Large Language Models

Transformers Architecture
Attention Mechanism: Self-Attention and Positional Encoding
Encoder-Decoder Framework
Pretraining and Fine-Tuning
Pretraining objectives: MLM, CLM
Fine-tuning for Tasks Like Summarization, QA
GPT, BERT
Mini Project 5 - Sentiment Analysis Using BERT

Week 4

LangChain and Multimodal Models

LangChain Installation and Basic Setup
Overview of LangChain: Prompts, Memory, Chains, Agents
Vision + text models - CLIP, DALL-E
Mini Project 6 - Train a Multimodal Model to Generate Image Captions
Mini Project 7 - Simple Q&A Application Using LangChain

Week 5

RAG and Hybrid Architectures

RAG Pipeline
Retrieval Systems: BM25, FAISS, and Elasticsearch
Integrating retrieval with LLMs
Applications of RAG
Vector Databases
Building RAG Pipelines with LangChain

Week 6

Projects

Project 8 - Build a Knowledge-Aware Chatbot by Integrating an External Database with LLMs
Project 9 - Fine-Tune an Open-Source LLM for the Financial Domain

Week 7

Project, Extra Doubt Support

Project 10 - Text-to-Image Generation
Prompt Engineering
AI Agents

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