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Build Real AI Projects · Learn by Doing · Become Industry Ready

Build Real-World AI Applications.

Explore ready-to-use AI applications with complete source code, tutorials and deployment guides.

  • Complete source code
  • Setup & deployment guides
  • Free demos before you buy

Featured AI applications

Complete applications you can run, study and put in your portfolio. They're in development now: each shows its launch price, and you can try the related free demo and guide today.

Browse the AI Projects Marketplace →

Why AI Explained Lab?

Complete source code

Whole applications, not snippets: backend, frontend, configuration and tests, organised the way real projects are.

Practical tutorials

Step-by-step guides that explain why each part exists, with examples run for real and their actual output.

Real-world architecture

The same patterns used in production: retrieval, tool calling, evaluation, caching and cost control.

Deployment instructions

Run it locally with one command, then deploy with Docker to free and low-cost cloud platforms.

Portfolio-ready projects

Projects you can show on GitHub and explain confidently in interviews, with ideas to extend each one.

Try before you buy

Free interactive AI demos, running live. No sign-up needed for most of them.

Career projects

Pick the role you're aiming for. Each path lists the projects that prove the skills interviewers ask about, and where to learn them for free.

GenAI Engineer projects

  • RAG chatbot with citations and evals
  • Text-to-SQL analyst
  • Multi-tool AI agent

RAG · embeddings · prompting · agents · LLMOps

Start with RAG →

Python Developer projects

  • FastAPI service with tests
  • Data pipeline with Pandas
  • Streamlit dashboard

Python · FastAPI · Pydantic · SQL · pytest

Start with Python →

Machine Learning projects

  • Text classifier with transformers
  • Fine-tuned small model
  • Model evaluation report

NumPy · Pandas · NLP · transformers · fine-tuning

Start with NLP →

AI Engineer projects

  • Production RAG with monitoring
  • MCP server for your tools
  • Dockerised AI app, deployed

System design · MCP · Docker · evaluation · cost control

Start with system design →

See all career projects →

Learn AI, free

Printable cheat sheets you can download straight away. Every example shows its real output.

Cover of Python Cheat SheetFree
Interview PrepFormat: PDF

Python Cheat Sheet

The complete Python reference for GenAI and interviews, with 380+ examples tested on Python 3.12.

Level: All levels For: Python developers and interview candidates

  • 22-page PDF, light and dark versions
  • 11 coding interview problems with solutions
  • An interview question bank
Price: Free
Cover of SQL Interview Cheat SheetFree
Interview PrepFormat: PDF

SQL Interview Cheat Sheet

SQL for interviews and AI work: 113 queries, each run on a real database with its output.

Level: All levels For: Developers, analysts and interview candidates

  • 21-page PDF, light and dark versions
  • 25 interview problems with worked solutions
  • 40 rapid-fire answers and a dialect table
Price: Free
Cover of DSA Patterns for Coding InterviewsFree
Interview PrepFormat: PDF

DSA Patterns for Coding Interviews

The 15 patterns behind most coding interview questions, each with a reusable Python template.

Level: Intermediate For: Coding interview candidates

  • 13-page PDF, light and dark versions
  • 59 runnable Python examples with real output
  • 90+ practice problems and a 4-week plan
Price: Free
Cover of Prompt Engineering Cheat SheetFree
GenAI & RAGFormat: PDF

Prompt Engineering Cheat Sheet

Write prompts that work on the first try and keep working in production.

Level: All levels For: Anyone building with LLMs

  • 6-page PDF, light and dark versions
  • 14 copy-ready prompt templates
  • Prompt-injection defence and testing checklists
Price: Free

All free resources → Browse the notes →

How it works

  1. Explore

    Read what each project does, its tech stack and architecture, and try the free demo.

  2. Purchase

    Pay once on Razorpay's secure checkout with UPI or cards. No subscription.

  3. Download

    Your files are emailed to you, usually within minutes. Free resources download instantly.

  4. Build & deploy

    Follow the setup guide to run it locally, then deploy it and add it to your portfolio.

FAQ

Who is AI Explained Lab for?

AI learners, GenAI job seekers, Python and junior developers who learn best by building real applications, and anyone preparing for AI engineering roles.

When can I buy the AI applications?

They're in development. Use Get notified here or on any app's page and you'll get one email when it launches. Until then, the free demos, build guides and cheat sheets on this site are available now.

What can I buy today?

PDF guides and toolkits in the Store, each with a free preview, and many free cheat sheets on Free Resources. Each product page lists its exact format and page count.

How do I pay?

On Razorpay's secure checkout (UPI, cards and the other methods it offers), in Indian rupees. It's a one-time payment: no subscription. We never see your card, UPI or bank details.

Can I get a refund?

Delivered files can't be returned, so refunds are given when a product never arrives, the file is broken and we can't send a working copy, or you were charged twice or the wrong amount. See the Refund & Cancellation Policy.

How do I get support?

Email aiwithpriyabrat@gmail.com (include your payment ID, starting with pay_, for an order) or use the contact page. We reply within 2 working days.

Start building real AI projects today

Try a free demo or follow a free build guide now. Leave your email and we'll tell you when the first complete AI application launches: one email, no spam.