Follow 23 curated ai engineering courses and learning paths, from beginner fundamentals to advanced practice.
Andrew Ng - non-technical AI strategy for everyone
AI for non-technical learners - understand what AI can and cannot do, spot opportunities, and build an AI strategy with your team. By Andrew Ng, DeepLearning.AI.
Build real AI apps, learn by doing
Build AI-powered applications from scratch with hands-on coding challenges. Covers prompt engineering, function calling, RAG, AI agents, and deployment - all in the browser.
Project-based course for building production AI systems
A project-based course covering LLMs, RAG, AI agents, and deployment strategies. Includes real-world projects and guidance from industry mentors.
Master Azure AI and launch your career
Comprehensive learning path covering Azure AI services, machine learning, responsible AI, and certification prep. Includes hands-on labs and real-world scenarios.
Build GenAI prototypes in hours, not weeks
Build interactive GenAI prototypes in hours using Streamlit and Snowflake. Covers rapid prototyping, prompt engineering, RAG, and deployment - no front-end skills required.
Build production LLM apps with LangChain & vector DBs
Learn about LLMs, LangChain, and Deep Lake vector database for building production-grade AI applications. Part of the Gen AI 360 Foundational Model Certification by Activeloop, Towards AI & Intel. Includes 50+ lessons and 10+ practical projects.
Free ~12h path: Python → LLMs, RAG pipelines & AI agents
A free, 7-course roadmap from FreeAcademy that goes from Python basics to building real AI systems. Understand how LLMs work, master prompting, then build RAG pipelines and AI agents step by step with LangChain and LangGraph. About 12 hours total, 100% free with certificates and practice projects.
100% Hands-on Coding | 100% Arabic | Zero Slides | Real Cloud Skills
Masar by Google (مسار) 100% Hands-on Coding | 100% Arabic | Zero Slides | Real Cloud Skills 🌟 Season 1: Integrating Generative AI into Applications with Gemini In this season, consisting of 5 weekly live episodes, we will take you on a practical journey from cloud basics to building GenAI applications and deploying them securely on Google Cloud.
Google - vibe coding with Gemini & AI Studio
Google AI for App Building - vibe coding with Gemini. Analyze your workflow, vibe code a functional web app with natural language, and use AI Studio & NotebookLM. Part of Google AI Professional Certificate. Beginner, 2 hours, 3 modules, 4.8 (3k reviews).
IBM on Coursera - LLM apps, prompting, LangChain, RAG, agents
Generative AI Engineering with LLMs (IBM) on Coursera: build production LLM apps with prompt engineering, LangChain, RAG pipelines, and AI agents. Hands-on labs with Granite, Llama, and GPT models. Intermediate level. Free with ReCoded.
IBM on Coursera - LangChain, LlamaIndex, FAISS, Chroma, Gradio apps
RAG for Generative AI Applications (IBM Skills Network) on Coursera: 4-course, 12-week hands-on specialization - GenAI basics, RAG pipelines, vector databases (FAISS, Chroma), and advanced retrievers with LangChain/LlamaIndex, ending in Gradio apps. Intermediate level. Free with ReCoded.
IBM - free 3-hour intro to AI agents
IBM SkillsNetwork's free course on agentic AI. Covers core principles of AI agents, how they perceive environments, make decisions, and take autonomous actions. Topics include distinguishing agentic AI from generative AI, how agents interact with tools via protocols like MCP, and real-world applications across industries. Interactive format with an AI-driven podcast, videos, readings, and quizzes. Includes a free certificate.
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