Generative AI

Module 1: ML Concepts for GenAI – 2 Weeks (8 Hours)
Understand how ML paradigms connect to GenAI training (Supervised, Unsupervised, RLHF)

Supervised Learning: concepts, examples, fine-tuning GPT
Unsupervised Learning: embeddings, clustering, pretraining
Reinforcement Learning: agent, environment, reward, RLHF in ChatGPT
Demo: clustering embeddings, reward signal illustration

Module 2: Introduction to AI & GenAI Foundations – 0.5 Week (8 Hours)
Understand basic AI concepts & run your first GenAI demo

Module 3: Mastering Generative AI – 0.5 Week (2 Hours)
Identify and classify real-world GenAI applications across domains (text, image, audio, video)

Module 4: Prompt Engineering & Problem Solving – 1 Week (4 Hours)
Design and test effective prompts for multiple tasks (summarization, Q&A, creative writing), and compare results

Generative AI

Course Content

Module 1: ML Concepts for GenAI – 2 Weeks (8 Hours)
Understand how ML paradigms connect to GenAI training (Supervised, Unsupervised, RLHF)

Supervised Learning: concepts, examples, fine-tuning GPT

Unsupervised Learning: embeddings, clustering, pretraining

Reinforcement Learning: agent, environment, reward, RLHF in ChatGPT

Demo: clustering embeddings, reward signal illustration

Module 2: Introduction to AI & GenAI Foundations – 0.5 Week (8 Hours)
Understand basic AI concepts & run your first GenAI demo

AI vs ML vs GenAI

What is a model (training vs inference)

Everyday GenAI applications (ChatGPT, Midjourney, Copilot)

Glossary: tokens, embeddings, LLMs, parameters

Hands-on demo: Generate text using OpenAI/Hugging Face API

Module 3: Mastering Generative AI – 0.5 Week (2 Hours)
Identify and classify real-world GenAI applications across domains (text, image, audio, video)

What is Generative AI?

Types, definitions, distinguishing features

Evolution & applications

Module 4: Prompt Engineering & Problem Solving – 1 Week (4 Hours)
Design and test effective prompts for multiple tasks (summarization, Q&A, creative writing), and compare results

Fundamentals of Prompt Engineering

Advanced techniques: zero-shot, few-shot, chaining

Module 5: Problem Solving with AI – 0.5 Week (2 Hours)
Frame a real-world problem, design a GenAI prototype, and present structured evaluation

Identifying & framing problems

Brainstorming solutions with GenAI

Rapid prototyping & evaluation

Module 6: Advanced GenAI Projects
AI-powered retail assistant for FAQs, order tracking, and recommendations

Project 1: RetailGenie AI – 4.5 Weeks (18 Hours)

Project 2: InfoNavigator AI – 3 Weeks (12 Hours)

Project 3: DocuMind AI – 4 Weeks (16 Hours)

Project 4: CloudScale AI Ops – 2 Weeks (8 Hours)

Project 5: ArtFusion AI – 2 Weeks (8 Hours)

LINKS

SUPPORT

GALLERY

Generative AI

Course Content

Module 1: ML Concepts for GenAI – 2 Weeks (8 Hours) Understand how ML paradigms connect to GenAI training (Supervised, Unsupervised, RLHF)

Supervised Learning: concepts, examples, fine-tuning GPT

Unsupervised Learning: embeddings, clustering, pretraining

Reinforcement Learning: agent, environment, reward, RLHF in ChatGPT

Demo: clustering embeddings, reward signal illustration

Module 2: Introduction to AI & GenAI Foundations – 0.5 Week (8 Hours) Understand basic AI concepts & run your first GenAI demo

AI vs ML vs GenAI

What is a model (training vs inference)

Everyday GenAI applications (ChatGPT, Midjourney, Copilot)

Glossary: tokens, embeddings, LLMs, parameters

Hands-on demo: Generate text using OpenAI/Hugging Face API

Module 3: Mastering Generative AI – 0.5 Week (2 Hours) Identify and classify real-world GenAI applications across domains (text, image, audio, video)

What is Generative AI?

Types, definitions, distinguishing features

Evolution & applications

Module 4: Prompt Engineering & Problem Solving – 1 Week (4 Hours) Design and test effective prompts for multiple tasks (summarization, Q&A, creative writing), and compare results

Fundamentals of Prompt Engineering

Advanced techniques: zero-shot, few-shot, chaining

Module 5: Problem Solving with AI – 0.5 Week (2 Hours) Frame a real-world problem, design a GenAI prototype, and present structured evaluation

Identifying & framing problems

Brainstorming solutions with GenAI

Rapid prototyping & evaluation

Module 6: Advanced GenAI Projects AI-powered retail assistant for FAQs, order tracking, and recommendations

Project 1: RetailGenie AI – 4.5 Weeks (18 Hours)

Project 2: InfoNavigator AI – 3 Weeks (12 Hours)

Project 3: DocuMind AI – 4 Weeks (16 Hours)

Project 4: CloudScale AI Ops – 2 Weeks (8 Hours)

Project 5: ArtFusion AI – 2 Weeks (8 Hours)

Student Ratings & Reviews

LINKS

SUPPORT

GALLERY

Module 1: ML Concepts for GenAI – 2 Weeks (8 Hours)
Understand how ML paradigms connect to GenAI training (Supervised, Unsupervised, RLHF)

Module 2: Introduction to AI & GenAI Foundations – 0.5 Week (8 Hours)
Understand basic AI concepts & run your first GenAI demo

Module 3: Mastering Generative AI – 0.5 Week (2 Hours)
Identify and classify real-world GenAI applications across domains (text, image, audio, video)

Module 4: Prompt Engineering & Problem Solving – 1 Week (4 Hours)
Design and test effective prompts for multiple tasks (summarization, Q&A, creative writing), and compare results

Module 5: Problem Solving with AI – 0.5 Week (2 Hours)
Frame a real-world problem, design a GenAI prototype, and present structured evaluation

Module 6: Advanced GenAI Projects
AI-powered retail assistant for FAQs, order tracking, and recommendations