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657 tutors in 31 topics, built by 75 teachers. Each one follows a lesson plan its teacher wrote.

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Foundations 89

All Foundations89 AI basics25 How language models work23 AI safety and ethics49

Everyday AI 91

All Everyday AI91 Prompting20 ChatGPT and Claude at work25 AI for writing29 AI for research and study33

Building with AI 162

All Building with AI162 Python for AI21 Building with LLM APIs30 RAG and search21 Evaluation and testing21 AI agents31 AI automation25 AI coding assistants30

Machine learning 149

All Machine learning149 Machine learning35 Data science and statistics30 Math for AI23 Deep learning28 NLP14 Computer vision14 Fine tuning and training12 MLOps and deployment18

Creative AI 77

All Creative AI77 Image and video AI58 Audio and voice AI12 AI for design33

AI at work 145

All AI at work145 AI for business34 AI for marketing and sales23 AI for product and operations28 AI for education28 AI for professionals29 AI careers18

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162 tutors

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Take Home Assignments and System Design for AI Roles

Take Home Assignments and System Design for AI Roles

Handle AI take homes and design rounds with clear scoping, baselines, evaluation and trade offsAdvancedAI careers4.5(2)30 lessonsSampleYohannes Tesfaye$13 NumPy Arrays from the Ground Up

NumPy Arrays from the Ground Up

Think in arrays: shapes, axes, broadcasting and vectorised maths, with embeddings as the running example.BeginnerPython for AI4.5(2)29 lessonsSampleFelix Brandt$4 Writing System Prompts for Agents

Writing System Prompts for Agents

Write agent instructions that define role, tools, limits and done, and hold up across thousands of runsIntermediateAI agents4.5(2)29 lessonsSampleJamal Haddad$7 Prompt Caching for Lower Cost and Latency

Prompt Caching for Lower Cost and Latency

Structure prompts so repeated prefixes are cached, then measure the savings in cost and response time.IntermediateBuilding with LLM APIs4.5(2)28 lessonsSampleFarid Haddad$7 Citations and Grounded Answers

Citations and Grounded Answers

Make RAG answers cite the right sources and check that every claim is actually supported by them.IntermediateRAG and search4.5(2)23 lessonsSampleFumiko Arai$7 Planning and Task Decomposition for Agents

Planning and Task Decomposition for Agents

Teach agents to break big goals into checkable steps, revise the plan and know when they are doneIntermediateAI agents4.5(2)22 lessonsSampleHiroshi Tanabe$7 Build a Chat Backend That Holds Up

Build a Chat Backend That Holds Up

Design and build a chat backend with auth, storage, streaming, quotas and cost tracking that survives real use.IntermediateBuilding with LLM APIs4.5(2)18 lessonsSampleGabriela Sousa$8 Human Approval Steps in Agent Workflows

Human Approval Steps in Agent Workflows

Place human checkpoints where they actually catch mistakes, without turning reviewers into rubber stampsBeginnerAI agents4.5(2)16 lessonsSampleIngrid Solberg$4 Automate your work with AI

Automate your work with AI

Connect your apps and let AI handle the repetitive steps, with checks in place.IntermediateAI automationNewLena Fischer$6 Python for AI, step by step

Python for AI, step by step

Just enough Python to work with data and call AI models from code.BeginnerPython for AINewDaniel Reyes$6 Build your first AI agent

Build your first AI agent

How agents use tools in a loop, and how to build one that stays safe.IntermediateAI agentsNewDaniel Reyes$9 Agent Concepts for Product and Project Leads

Agent Concepts for Product and Project Leads

Understand agents well enough to scope, plan and review an agent project with your engineersAll levelsAI agentsNewHiroshi Tanabe$5