AI & Generative AI Fundamentals

An introductory course in Artificial Intelligence, Machine Learning, and Generative AI. Built for absolute beginners with no programming or advanced math background required.

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Modules8 modules

Duration60–90 Mins

LevelBeginner

Prerequisites: None

What you'll learn

Distinguish artificial intelligence, machine learning, deep learning, and generative AI.
Explain how large language models use tokens, context, and embeddings to generate responses.
Write clearer prompts using structured instructions, zero-shot, and few-shot examples.
Apply generative AI to writing, coding, research, and everyday productivity.
Recognize AI limitations and explain responsible use, RAG, and AI agents at a foundational level.

Roadmap

Course Curriculum Overview

Progression: AI → ML → Deep Learning → Gen AI → LLMs → Prompting → Modern AI

Enroll to unlock

MODULE 1Locked

Intro to AI

AI fundamentals, history, applications, misconceptions.

MODULE 2Locked

ML & Deep Learning

ML approaches, neural networks, deep learning basics.

MODULE 3Locked

Generative AI

Generative systems, modalities, applications, limitations.

MODULE 4Locked

LLMs Explained

Tokens, parameters, context, embeddings & transformers.

MODULE 5Locked

Prompt Engineering

Prompt design, zero-shot, few-shot, structured prompts.

MODULE 6Locked

Practical Gen AI

Writing, coding, research, business & productivity.

MODULE 7Locked

RAG & AI Agents

RAG, agents, tools, memory, modern AI systems.

MODULE 8Locked

Safety & Ethics

Hallucinations, bias, copyright, responsible AI.

FINALLocked

Final Assessment

Complete all modules to unlock.