AI Foundations

AI, machine learning, deep learning and generative AI: the map

AI, ML, deep learning, generative AI and LLMs are not five names for the same thing. Learn how they fit inside each other, with everyday Indian examples, so you can explain the difference clearly in class, at work and in interviews.

How large language models work

An LLM writes one small piece of text at a time by predicting what comes next. Learn how that prediction works, how models are trained in stages, and why this explains both their surprising skill and their strange mistakes.

Tokens, context windows and why chats forget

AI models read and write tokens, not words, and can only look at a limited amount of text at once. Learn what tokens and context windows are, why long chats drift or forget, and how to work around it.

Hallucinations: why AI is confidently wrong

AI sometimes states false things in a fluent, certain tone: invented facts, fake citations, code that calls functions that do not exist. Learn why it happens, where it is most likely, and a practical routine for catching it.

The model landscape: GPT, Gemini, Claude, Llama and more

Models, apps and companies are easy to mix up. Learn who makes the main model families, the difference between open and closed models, and how to choose without chasing every new release.

Free AI tools you can use today

A guided tour of the best-known free AI tools: chatbots, search, document assistants, coding help and local models. Learn which tool fits which job, and try each one with a small task so you leave with a personal toolkit.

Your first useful AI conversations

Learn to treat an AI chat as a back-and-forth, not a one-shot search. Run five practical conversations (learn, plan, write, decide, debug), and pick up habits for follow-ups, corrections and checking answers.

Beyond text: images, voice, documents and video

Modern AI tools can read photos, listen to your voice, answer questions about PDFs and summarise videos. Try each one hands-on with free tools, and learn where each one tends to go wrong.

Research and fact-checking with AI

Use AI search tools to research a question quickly, then check the answer the way professional fact-checkers do: follow the citations, read laterally and trace claims to the original source.

Learning faster with AI: study techniques that work

Use AI as a tutor, quiz master and study planner instead of an answer machine. Learn five study methods backed by learning science and the exact prompts to run each one.

Privacy: what never to paste into an AI tool

Anything you type into an AI tool leaves your device. Learn what to never paste, how to redact data, which settings to check, and how work rules and India's DPDP Act apply.

Bias, copyright and using AI ethically

AI can repeat unfair patterns, copy protected work and be used to cheat or deceive. Learn where bias comes from, the basics of copyright and credit, and a practical code for using AI honestly.

How AI is changing software jobs

AI tools now write and review code, but software jobs are changing rather than disappearing. See which tasks AI handles well, which skills grow in value, and how to prepare as a student or fresher.

Your AI learning roadmap: courses, exams and communities

Choose your next step in AI. See four paths (power user, builder, data and ML, and AI career), free courses to start with, certifications and communities, and how to check what is current.