Generative Ai

Module 1: Introduction to Generative AI

• What is AI, ML, DL, and Gen AI?

• Difference between Predictive AI vs Generative AI

• Evolution of Generative AI (GPT, DALL·E, Stable Diffusion, etc.)

• Applications in industries (Healthcare, Education, Business, Entertainment, HR, etc.)

• Real-world Case Studies

Module 2: Foundations of Machine Learning & Deep Learning

• Refresher: Supervised, Unsupervised, Reinforcement Learning

• Neural Networks: Basics of Perceptrons, CNNs, RNNs, Transformers

• Importance of training data in Gen AI

• Ethical considerations in AI training

Module 3: Large Language Models (LLMs)

• Architecture of Transformer Models (Attention mechanism)

• Introduction to GPT, BERT, LLaMA, Gemini, Claude, etc.

• Tokenization & Embeddings

• Fine-tuning vs Prompt Engineering vs Retrieval-Augmented Generation (RAG)

• Hands-on: Using OpenAI API / Hugging Face Transformers

Module 4: Prompt Engineering

• Role of prompts in Gen AI outputs

• Types of prompts: Zero-shot, Few-shot, Chain-of-Thought

• Building effective prompts for different tasks (text generation, summarization, coding, Q&A)

• Hands-on: Design prompts for ChatGPT, Claude, Gemini, LLaMA

Module 5: Text Generation Applications

• Chatbots & Virtual Assistants

• Text summarization, translation, sentiment analysis

• Automated content generation (blogs, marketing, HR feedback)

• Resume & report generation

• Hands-on: Build a Q&A chatbot using OpenAI API + Python/Node

Module 6: Image & Video Generation

• GANs (Generative Adversarial Networks) basics

• Stable Diffusion, MidJourney, DALL·E

• AI Video Generators (Runway, Pika Labs, Sora AI)

• Hands-on: Generate images from prompts using Stable Diffusion / Hugging Face

Module 7: Speech & Audio Generation

• Text-to-Speech (TTS) and Speech-to-Text (STT)

• Voice cloning & music generation (ElevenLabs, Suno AI, OpenAI Audio models)

• Hands-on: Create a voice bot with TTS + LLM

Module 8: AI Agents & Automation

• What are AI Agents?

• Workflow automation using Gen AI (n8n, LangChain, AutoGPT)

• Multi-agent systems for research & business tasks

• Hands-on: Build an AI agent to automate email feedback

Module 9: Ethics, Security & Responsible AI

• Bias in AI models

• Deepfakes & misinformation

• Data privacy concerns

• Guidelines for Responsible AI (EU AI Act, India AI Mission, etc.)

Module 10: Capstone Project

Students build a real-world project using Gen AI tools. Example ideas:

• AI Interview Bot (takes interview & gives feedback)

• Personalized Learning Tutor with Gen AI

• AI Resume Builder with ATS Scoring

• AI Marketing Content Generator

• AI Video explainer for education

Module 11: Career & Future of Gen AI

• Gen AI roles: Prompt Engineer, AI Developer, AI Product Manager, Researcher

• Required skills for jobs & freelancing

• Building AI projects portfolio on GitHub/LinkedIn

• Certifications & internships