AI Post

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.

cs50.harvard.edu

CS50's Introduction to Artificial Intelligence with Python

This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies...

www.deeplearning.ai

ChatGPT Prompt Engineering for Developers

Level up your use of LLMs with prompt engineering best practices. Learn to automate workflows, chain LLM calls, and build a custom chatbot.