Guri Singh

@heygurisingh

If I were to start AI Engineering in 2026, - Harvard - Stanford - MIT - Google - Anthropic - DeepLearning AI - Hugging Face - Microsoft - IBM ❯ Python for AI https://cs50.harvard.edu/ai/ ❯ Prompt Engineering https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/ ❯ Agentic AI (Andrew Ng) http://deeplearning.ai/courses/agentic-ai ❯ AI Agents (LangChain + LangGraph) http://coursera.org/learn/agentic-ai-with-langchain-and-langgraph ❯ Vibe Coding (Cursor + Claude Code) http://coursera.org/specializations/vibe-coding ❯ RAG (Retrieval Augmented Generation) http://deeplearning.ai/courses/retrieval-augmented-generation-rag ❯ MCP (Model Context Protocol) http://huggingface.co/learn/mcp-course ❯ MCP for Beginners http://github.com/microsoft/mcp-for-beginners ❯ Machine Learning http://developers.google.com/machine-learning/crash-course ❯ Multi-Agent Systems (CrewAI + AutoGen) http://coursera.org/professional-certificates/ibm-rag-and-agentic-ai ❯ Deep Learning http://introtodeeplearning.com ❯ Generative AI for Everyone http://deeplearning.ai/courses/generative-ai-for-everyone All free. All from the best in the world. 2026 isn't the year to learn AI. It's the year to build with it. Stop watching tutorials. Start shipping agents.