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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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AI agents Intermediate Clear all

Working in a Terminal Based Coding Agent

Working in a Terminal Based Coding Agent

Use a command line coding agent to explore, edit, test and commit code safely in real projectsIntermediateAI agents4.7(3)72 lessonsSampleJude Mensah$8 Connecting Tools with the Model Context Protocol

Connecting Tools with the Model Context Protocol

Understand MCP servers and clients well enough to connect, build and secure tools for agentsIntermediateAI agents4.7(3)64 lessonsSampleJamal Haddad$9 Reading and Debugging Agent Traces

Reading and Debugging Agent Traces

Read an agent's step by step record and find where and why a run went wrongIntermediateAI agents4.3(4)64 lessonsSampleIngrid Solberg$8 Guardrails and Permissions for AI Agents

Guardrails and Permissions for AI Agents

Decide what your agent may read, write and spend, and enforce those limits in code rather than promptsIntermediateAI agents4.7(3)56 lessonsSampleIngrid Solberg$8 Data Analysis Agents for Spreadsheets and SQL

Data Analysis Agents for Spreadsheets and SQL

Use or build agents that query data, run analysis and explain results you can actually verifyIntermediateAI agents4.3(3)53 lessonsSampleJamal Haddad$8 Designing Tools an Agent Can Actually Use

Designing Tools an Agent Can Actually Use

Write tool names, descriptions, inputs and error messages that make agents choose and call tools correctlyIntermediateAI agents4.7(3)52 lessonsSampleHiroshi Tanabe$7 Research Agents: Search, Read, Cite

Research Agents: Search, Read, Cite

Build or steer research agents that gather sources, weigh them honestly and cite every claimIntermediateAI agents4.5(2)51 lessonsSampleJamal Haddad$7 Customer Support Agents That Know Their Limits

Customer Support Agents That Know Their Limits

Design a support agent that answers well, admits uncertainty and hands off to people at the right momentIntermediateAI agents4.7(3)43 lessonsSampleJamal Haddad$8 Agent Cost and Latency Control

Agent Cost and Latency Control

Find where your agent spends money and time, then cut both without losing qualityIntermediateAI agents4.0(3)43 lessonsSampleHiroshi Tanabe$8 AI Steps Inside Workflows: Prompts That Behave

AI Steps Inside Workflows: Prompts That Behave

Write prompts for automation steps that return the same clean format every time, even on odd inputsIntermediateAI agents4.5(2)33 lessonsSampleHamza Qureshi$6 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 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