Learn for Builders
30 resources — 20 curated for Builders, all free.
Production-focused learning picks around APIs, deployment, evaluation, and Indian-language tooling.
Google AI Essentials (Free Certificate)
Google's official 5-course AI certificate on Coursera — completely free to audit. Covers what AI is, how large language models work, using Gemini in daily tasks, and responsible AI basics. No coding. Perfect first course for anyone in India.
AI for Everyone — Andrew Ng (Free Audit)
DeepLearning.AI's most popular non-technical AI course. Andrew Ng explains AI strategy, machine learning, and what AI can/can't do — in plain language. Free to audit on Coursera. ~6 hours total. Ideal for managers, business owners, and anyone curious about AI.
Introduction to Generative AI — Google Cloud (Free)
Google Cloud's 45-minute free course explaining what generative AI is, how it differs from traditional ML, and how to use Google tools like Vertex AI. No prior experience needed. Available in English, with partial Hindi captions.
Microsoft AI Fundamentals (AI-900) — Free Learning Path
Microsoft's official free self-paced AI learning path covering AI concepts, machine learning, computer vision, NLP, and conversational AI. Prepares you for the AI-900 certification. ~10 hours. Works well on mobile, ideal for learners on limited bandwidth.
Google Prompting Essentials Certificate (Free)
Google's short free course on writing effective AI prompts. Covers the 5-step prompting framework, zero/few-shot prompting, and chain-of-thought techniques. Comes with a shareable Google certificate. Available for free to Indian learners.
Responsible AI: Avoiding Bias in AI (Google, Free)
Google's free 45-minute module on understanding AI bias, fairness, and responsible AI use. Covers real examples relevant to India: language bias, demographic bias in hiring tools, and how to spot AI errors. Essential before deploying any AI in work.
Meta AI Literacy: Understanding Large Language Models
Meta's free educational resource on how LLMs (like ChatGPT and Gemini) actually work — tokens, training data, hallucinations, and limitations. No maths required. Helps you understand WHY AI sometimes gives wrong answers and how to verify output.
NASSCOM GenAI Primer for India — Free
NASSCOM's India-specific introduction to Generative AI: what it means for Indian industries, language challenges (22+ official languages), use cases for BFSI, healthcare, agriculture, and education. Free PDF report + online modules.
AI Ethics and Safety — Short Course (Anthropic, Free)
Anthropic's primer on AI safety, alignment, and responsible deployment. Covers what AI can go wrong, why 'hallucinations' happen, and how to use AI responsibly at work. Free, ~2 hours. Highly relevant for government officers and enterprise decision-makers.
Kaggle: Intro to AI and Machine Learning (Free)
Kaggle's completely free beginner track. Start from 'what is machine learning' to running your first model — no setup needed, runs in the browser. Used by 15+ million data learners worldwide. Works perfectly on slow internet via Kaggle Notebooks.
IndiaAI Builder Tracks & Hackathons
Official IndiaAI hackathons, builder curricula, and sandboxes for developers working on Indian AI products.
Google ML Crash Course (India Edition)
Google's free ML course tailored with India use-cases. Covers TensorFlow, feature engineering, and production ML pipelines.
Prompt Engineering for Developers — DeepLearning.AI (Free)
Built by OpenAI and DeepLearning.AI. Teaches systematic prompt engineering: zero-shot, few-shot, chain-of-thought, and structured outputs using the ChatGPT API. Free, ~1.5 hours, runs in browser with free API credits included. The most-referenced prompt course globally.
Google ML Crash Course (Updated 2024, Free)
Google's flagship free ML course. 15+ hours covering supervised learning, neural networks, fairness, and production ML with TensorFlow. Uses real datasets, interactive exercises, and video lessons. Fully free — no certificate required but highly respected in India tech hiring.
Building Systems with ChatGPT API — DeepLearning.AI (Free)
How to build multi-step AI systems: classification chains, moderation, Q&A bots, and customer service workflows. Uses the ChatGPT API. Free, ~3 hours. Directly applicable to Indian customer service automation and enterprise chat applications.
LangChain for LLM Application Development (Free)
Andrew Ng + Harrison Chase teach LangChain — the most-used framework for building AI apps with LLMs. Covers chains, agents, memory, and document Q&A. Free, ~3 hours. India startups use LangChain extensively for enterprise chatbots and RAG systems.
Anthropic Claude API: Prompt Engineering Advanced Guide
Anthropic's official technical guide to getting the best results from Claude. Covers system prompts, XML structuring, multi-turn conversations, tool use, and handling edge cases. Free reference, directly usable with Claude's free API tier.
Hugging Face NLP Course — Chapter 1–4 (Free)
Hugging Face's free course on transformers and NLP. No heavy GPU needed for chapters 1–4 which run on free Colab. Directly relevant for Indian language AI work — the Hugging Face library powers AI4Bharat's IndicBERT and most India NLP research.
Microsoft Azure AI Services for Developers — Free Learning Path
Microsoft's free hands-on path: Azure OpenAI, Vision, Speech, and Language services. Includes 12-month free Azure credits for students. Directly usable for building India enterprise AI apps with compliant data residency (India Central / South).
OpenAI Cookbook — Practical Recipes for the ChatGPT API (Free)
OpenAI's open-source collection of practical code examples: embeddings, fine-tuning, RAG systems, and API best practices. All runnable in free Google Colab. Essential reference for Indian developers building on GPT-4o, o1, and GPT-3.5-turbo.
Fast.ai: Practical Deep Learning for Coders (Free, Part 1)
The world's best hands-on DL course — free, no paywalls, no sign-up. Jeremy Howard teaches you to train state-of-the-art image, text, and tabular models from scratch using PyTorch. Runs on free Kaggle GPUs. Used by hundreds of Indian AI researchers and engineers.
Hugging Face: NLP Advanced + Fine-tuning (Free)
Chapters 5–9 of the HF NLP course: fine-tuning BERT/GPT-2, building NLP pipelines, training on custom datasets, and deploying to production. Directly relevant for fine-tuning on Indian languages using AI4Bharat datasets. Runs on free Colab T4.
DeepLearning.AI: Machine Learning Specialization (Free Audit)
Andrew Ng's updated 3-course ML specialisation on Coursera — free to audit. Covers supervised learning, unsupervised learning, and recommender systems with Python, scikit-learn, and TensorFlow. Still the gold standard for ML theory in India tech hiring.
Fine-Tuning Large Language Models — DeepLearning.AI (Free)
How to fine-tune LLMs on your own data using Lamini. Covers when to fine-tune vs RAG, preparing training data, and evaluation. Free, ~1.5 hours. Highly relevant for building Indian-language models or domain-specific enterprise models.
Meta PyTorch Official Tutorials (Free)
Meta's official PyTorch tutorials — the framework behind LLaMA, AI4Bharat models, and Fast.ai. From tensor basics to distributed training. Completely free, runs on free Colab. PyTorch is the most-used DL framework in Indian AI research and startups.
Building RAG Applications with LangChain + OpenAI (Free)
Retrieval Augmented Generation from scratch: embeddings, vector databases, and document Q&A. DeepLearning.AI free course. RAG is the architecture behind most Indian enterprise AI chatbots (legal, BFSI, government document Q&A).
LLM Operations (LLMOps) — DeepLearning.AI (Free)
Production LLM systems: prompt versioning, evaluation pipelines, monitoring, and cost optimisation. Free, ~3 hours. Covers the full lifecycle from development to production — critical for Indian teams shipping AI products to scale.
Google Cloud: MLOps on Vertex AI (Free Qwiklabs)
Google's free hands-on MLOps labs: CI/CD pipelines for ML, model monitoring, feature stores, and A/B testing with Vertex AI. Uses free Qwiklab credits. Google Cloud's India-region data centres make this directly deployable for Indian enterprise.
OpenAI: Function Calling, Embeddings & Assistants API (Free Docs)
OpenAI's developer guide to advanced features: function calling (tool use), embeddings for semantic search, batch API, and the Assistants API for stateful agents. Free documentation with runnable Python examples. The backbone of most production AI agents in India.
Anthropic: Building Production Systems with Claude (Technical Guide)
Anthropic's advanced technical documentation: tool use, computer use, multi-agent orchestration, and Claude's constitutional AI for safe deployment. Free, no signup. Claude's 200k context window makes it ideal for long-document processing (contracts, legal filings, academic papers).