Machine Learning · Gradient descent
Deep Learning · CNN architecture
Machine Learning · Support vector machines
Machine Learning · K-means clustering
Courses
All courses →Full-length courses
Each course follows a full-length video, lesson by lesson, with code you can run and a quiz after every part.
Build with generative AI and agents from the first LLM call to RAG, tool-using agents, self-correcting loops, harnesses and fine-tuning, the way the videos build them.Take an LLM app from a notebook to production: the LLMOps lifecycle, a project you can operate, experiment tracking, evaluation, observability, deployment and the cost and drift you watch after.Follows the End to End Multimodal LLMOps Project videoGuardrails, LLM evaluation, agent memory and AgentOps: the four things an AI agent needs before it meets real users, each run for real.Neural networks from the perceptron to CNNs, worked out on the board's own numbers, then built in Keras.Follows the Deep Learning In-depth Tutorials in 5 Hours videoNLP from tokenization to transformers: text preprocessing, BoW, TF-IDF and Word2Vec, RNNs and LSTMs, then every block of the transformer, worked out on the board's own examples.Follows the Complete NLP Machine Learning in One Shot videoEvery classical machine learning algorithm, from the board intuition and worked numbers to working scikit-learn code.Follows the Complete Machine Learning in 6 Hours videoStatistics for data science from the first idea to hypothesis tests, worked out on the board's own numbers, then computed in Python.Follows the Complete Statistics for Data Science in 6 Hours videoLook at a dataset until you understand it, then turn it into features a model can learn from, without leaking and without silently doing nothing.Follows the EDA and Feature Engineering videoPython from your first line to classes, Pydantic, async and tests, taught on one AI program.Track your work, undo mistakes, branch an experiment and put a project on GitHub the way a team expects to find it.
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 →Roadmap · 10 stagesAI Platform and LLMOps EngineerTake an LLM app from a notebook to production, and keep it running.1Python, Git and how a model behaves2What LLMOps is, and the lifecycle3Plan the build: pipeline, data and model4Structure the app for production+6 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 →Roadmap · 10 stagesAI Platform and LLMOps EngineerTake an LLM app from a notebook to production, and keep it running.1Python, Git and how a model behaves2What LLMOps is, and the lifecycle3Plan the build: pipeline, data and model4Structure the app for production+6 moreOpen roadmap →Frameworks
All 18 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 →