New to AI? Start here.

EasyLearnSpace teaches how modern AI works with pictures, animations and small live demos. You do not need a maths degree. This page tells you what you need, where to begin and how to use each lesson.

What you need

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School-level maths

If you know multiplication, averages and percentages, you can follow every lesson. Formulas are always explained in words first.

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Basic Python (for code parts)

Only for the code boxes: variables, lists, functions and pip install. New to Python? Try the free official tutorial first.

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A free place to run code

Google Colab runs Python in your browser with a free GPU. Some examples call OpenAI and need an API key; the lessons say when.

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20–30 minutes a day

Each lesson takes 5–15 minutes of reading, plus time to try the code. One session a day finishes the 40-session GenAI Course in about six weeks.

Five words to know before you begin

TokenA small piece of text (a word or part of a word). Models read and write tokens.
EmbeddingA list of numbers that stands for meaning. Similar meanings → similar numbers.
AttentionHow each word looks at the other words to understand context.
PromptThe text and instructions you send to the model.
RAGSearch your documents first, then let the model answer from them.

See all 142 terms in the Glossary. Inside lessons, words with a dotted underline show their meaning when you hover or tap them.

Pick your path

🌱 Path 1 · I am completely new

Get the big picture first, then follow the course in order.

  1. The AI landscape AI, ML, deep learning, GenAI and agents in one picture
  2. How an LLM is trained and how it answers a question short animations
  3. Environment setup Python, Colab, Git and API keys
  4. Then follow the GenAI Course from Session 1 to 40 Modules 1–4 build the foundations

🛠 Path 2 · I want to build LLM apps

You know some Python and want to ship a chatbot, RAG or agent.

  1. Prompt fundamentals → structured output → LangChain Module 8
  2. RAG foundations through production RAG Module 9
  3. What is an agent, tool calling and MCP
  4. LangChain and LangGraph complete notes runnable, no API key needed
  5. OWASP LLM Top 10 security before you go live

🏗 Path 3 · I design AI systems

You care about scale, cost and reliability.

  1. LLM serving and LLM gateway
  2. Design a RAG chatbot
  3. Advanced attention and the KV cache why long context costs memory
  4. The fine-tuning decision prompt vs RAG vs fine-tune

🛡 Path 4 · I work in security

Learn how LLM apps and agents get attacked, and how to defend them.

  1. OWASP Top 10 for LLM apps
  2. OWASP Top 10 for agentic apps
  3. Red teaming an LLM app

☁️ Path 5 · I want to learn AWS

Start from zero and prepare for the AWS Solutions Architect Associate exam.

  1. What cloud computing is and how AWS is organised
  2. IP addresses and subnets with a live subnet calculator
  3. Amazon EC2, then launch Linux and Windows servers
  4. Host your own website on EC2 practice terminal included

🦜 Path 6 · I want hands-on LangChain

17 labs from Ajeetkumar’s Colab notebooks, with a free Groq key.

  1. Chat models → prompt templates → LCEL chains Module 1
  2. Loaders to chat with your PDF Module 2: RAG step by step
  3. Tools, agents and guardrails Module 3
  4. LangGraph basics build your own agent from scratch

🎯 Path 7 · I have an interview coming up

Practise with real questions, answers hidden until you try.

  1. The 145 must-know GenAI questions start here, 2 minutes per answer
  2. The 18 assignments with solutions for the topics you are weak in
  3. Company interview questions: TCS, Infosys, Wipro, Deloitte, EY, PwC, Google, plus interview experiences from 120+ companies, including Microsoft, Amazon, Citi and Flipkart (use the company picker)

How each lesson works

  1. Animated lessons play step by step. They start at 0.5× speed; change it to 0.25×–2×, pause, or click Next to go at your own pace.
  2. Article lessons have diagrams that appear as you scroll, small demos you can click, and code you can copy.
  3. Hover or tap underlined words to see their meaning without leaving the page.
  4. Take the quiz at the end of each lesson, then press Mark as done. Your progress is saved in this browser.
  5. Revise with cheat sheets: every module of the GenAI, AWS and LangChain courses has a one-page summary you can print.

Learning from outside India?

Many examples use Indian banking and daily life: UPI (instant mobile payments), KYC (identity checks), NEFT/IMPS (bank transfers), ₹ (rupee) and lakh (100,000). They are all in the Glossary. To read a lesson in your language, use your browser’s Translate option; the diagrams and demos still work.

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