Machine Learning · Gradient descent
Deep Learning · CNN architecture
Machine Learning · Support vector machines
Machine Learning · K-means clustering
Courses
All courses →Generative AI and Agentic AI, AI Security, Deep Learning, Natural Language Processing, Machine Learning and Statistics
Each course follows a full-length video, lesson by lesson, with code you can run and a quiz after every part.
Generative AI and Agentic AIBeginner to intermediate · 48 lessons · 8 partsAI SecurityIntermediate · 52 lessons · 10 partsDeep LearningBeginner · 41 lessons · 10 partsNatural Language ProcessingBeginner to intermediate · 52 lessons · 11 partsMachine LearningBeginner · 52 lessons · 10 partsStatisticsBeginner · 57 lessons · 10 parts
Vidya · AI tutor
An AI tutor on every lesson
Start a call and Vidya teaches the lesson on your screen by voice, asking you questions as she goes.
- Teaches by voice. The lesson on your screen, one small piece at a time.
- Marks as she talks. The heading, the line of code, the clip she means.
- Asks you questions. About the line or idea she just explained.
Roadmaps
All roadmaps →Roadmaps for AI engineering roles
What each role needs, in the order to learn it, with the lessons for every step.
Roadmap · 10 stagesAgentic AI EngineerBuild an agent end to end on the LangChain stack, then make it safe and prove it works.1Python and LLM basics2LangChain agents3LangGraph workflows4Retrieval and RAG+6 more
Open roadmap →Roadmap · 6 stagesAI Forward Deployed EngineerHalf engineer, half consultant: own the last mile between a model and a business result.1Foundations2LLM Engineering3Agentic AI4Production & Deployment+2 more
Open roadmap →
Open roadmap →Roadmap · 6 stagesAI Forward Deployed EngineerHalf engineer, half consultant: own the last mile between a model and a business result.1Foundations2LLM Engineering3Agentic AI4Production & Deployment+2 moreOpen roadmap →Frameworks
All 15 frameworks →Framework tutorials
Short lessons with code you can run, on LangChain, LangGraph, Deep Agents, Model Context Protocol and more.
Interview prep
All interview sets →Interview questions with answers
Questions asked in AI engineering interviews. Each one has a short answer, the detail behind it and the common mistakes.
Agentic AI Interview Questions50 questions from Agentic AI, AI Engineer and Forward Deployed Engineer interviews, each with a 30-second answer, the depth behind it and the mistakes to avoid.Start practising →
AI Forward Deployed Engineer Interview Questions50 questions from AI FDE interviews, from discovery and POCs to stakeholder scenarios, engagement designs and behavioural rounds.Start practising →
AI System Design Interview Questions50 design-round questions, from gateways, routing and caching to ChatGPT-scale chat, Copilot-style completion and voice agents.Start practising →
RAG Interview Questions50 questions from RAG Engineer, AI Engineer and Forward Deployed Engineer interviews, from chunking and hybrid search to permission-aware retrieval.Start practising →
LLMOps & Production Interview Questions50 questions on versioning, CI/CD with eval gates, safe rollouts, GPU serving, observability, incidents and cost.Start practising →
Evals & Guardrails Interview Questions50 questions on eval design, LLM judges, statistics, red-teaming, prompt-injection defences and guardrail architectures.Start practising →