One stop learning platform for AI and ML.
Learn AI, ML and Data Science with structured roadmaps, FREE resources and hands-on projects built for results.
- 01 · FOUNDATIONPython for AI
- 02 · FOUNDATIONMath for Machine Learning
- 03 · FOUNDATIONData Handling & Analysis
- 04 · CORESoftware Engineering for AI Engineers
- 05 · COREClassical Machine Learning
- 06 · COREDeep Learning Fundamentals
- 07 · COREPyTorch
- 08 · ADVANCEDComputer Vision & Sequence Models
- 09 · FOUNDATIONNLP & Transformers
- 10 · COREHow LLMs Work
- 11 · ADVANCEDFine-tuning & Alignment
- 12 · PRODUCTIONModel Optimization & Multimodal AI
- 13 · FOUNDATIONWorking with LLM APIs
- 14 · COREPrompt & Context Engineering
- 15 · COREEmbeddings & Vector Search
- 16 · CORERetrieval-Augmented Generation (RAG)
- 17 · ADVANCEDAI Agents
- 18 · ADVANCEDModel Context Protocol (MCP)
- 19 · CORELLM Evaluation & Testing
- 20 · PRODUCTIONObservability & LLMOps
- 21 · PRODUCTIONDeployment & Inference Optimization
- 22 · PRODUCTIONAI Safety, Security & Responsible AI
- 23 · ADVANCEDAI System Design & Career
Everything you need to learn AI/ML
Striver-style roadmaps + matched resources + progress tracking + real opportunities.
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Curated Roadmaps
A Striver-style path for AI/ML — fundamentals → deep learning → projects → job-ready.
BEGINNER · INTERMEDIATE · ADVANCEDSTEP 02: DEEP LEARNINGBackprop Math✓CNN ArchitecturesNOWAttention MechanismsNEXT - 02
Topic Resources
Every topic has curated links (docs, videos, papers, repos) — no missing resources.
DOCPyTorch DocsVIDKarpathy — Neural NetsPPRAttention Is All You Need - 03
Progress Tracking
Tick topics as you go and see your progress on every roadmap. Sign in and it follows you across devices.
DEEP LEARNING45% COMPLETE - 04
English or Hindi
Every roadmap mixes the best free English and Hindi resources. Prefer English only? One switch hides the rest.
ALL LANGUAGESENGLISH ONLYVIDStatQuest — Statistics FundamentalsPLAYLIST100 Days of MLHINDI - 05
AI Roles
Curated opportunities in Artificial Intelligence & Machine Learning.
Apply ↗ML EngineerNeuranceAI · Bangalore · Full-time
The numbers behind the mission
We’re building the most accessible AI/ML learning hub. Transparent metrics from our growing community.
- ACTIVE LEARNERS
- 6,000+
- VISITORS
- 80,000+
Loved by the AI community on X
Real feedback. Real screenshots. No fake testimonials.
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Frequently asked questions
Everything you need to know about the platform and your learning journey.
Is this platform completely free?
Yes. The platform is completely free. The goal is to make learning AI & ML easier by organizing already available free resources into a clear and structured learning path.
How are the learning paths created?
The learning paths are designed by Backprop team, based on hands-on experience in the AI domain and by analyzing multiple job descriptions to align learning with real industry expectations.
Is this just a collection of playlists or links?
No. Along with curated resources, the learning paths include small practical projects at the right stages to help you apply concepts and build real understanding.
Are the learning paths personalized?
Personalized paths are being built for different roles such as AI Engineer, ML Engineer, Applied AI, and AIML Engineer. These will be rolled out gradually.
Do I need prior AI or ML experience to start?
No. The roadmaps are designed to start from fundamentals and gradually move to advanced concepts, making them beginner-friendly.
Are projects included in the learning paths?
Yes. Small, focused projects are included at important stages so learners can reinforce concepts through practical implementation.
How is this different from learning randomly from the internet?
Instead of scattered resources, the platform provides a clear order of what to learn, what to prioritize, and what can be skipped based on your goals.
Will the learning paths be updated over time?
Yes. The content and structure will be updated regularly to stay aligned with evolving industry requirements and job roles.