GenAI Innovation Sprint

Day 1: Introduction to Generative AI

• Overview of AI, Machine Learning & Deep Learning
• What is Generative AI?
• Types: Text, Image, Audio, Video generation
• Demonstration: ChatGPT, Stable Diffusion, Gemini, Claude
• Mini-activity: Prompt writing basics

Day 2: Large Language Models (LLMs)

• How LLMs work (High-level architecture)
• Tokens, embeddings, transformers
• Prompt engineering techniques
• Hands-on: Using LLM APIs (OpenAI/Meta/Mistral sandbox demo)

Day 3: Building AI With No-Code Tools

• Introduction to no-code AI builders (HuggingFace Spaces, OpenAI Playground)
• Fine-tuning basics
• Hands-on: Create a custom chatbot
• Mini-project: AI assistant for college queries

Day 4: Generative Image & Audio Models

• Diffusion models (Stable Diffusion, Midjourney)
• AI audio generation & voice clones
• Hands-on: Generate images from text prompts
• Ethical considerations (deepfakes, copyright)

Day 5: Capstone Project & Evaluation

• Students build:
• AI content generator / chatbot / image generator
• Presentations
• Feedback & Certification

• Students will understand the fundamentals of Generative AI, LLMs, image models, and AI tools.
• Students will be able to write effective prompts for tasks like writing, research, coding, designing, and automation.
• Students will generate text, images, videos, and creative content using AI tools confidently.
• Students will learn to use AI for coding, debugging, creating applications, and solving technical problems.

Name: Prof. Rahul Khare

Mobile No: 09713692934

Email: [email protected]