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Foundations 89
All Foundations89AI basics25How language models work23AI safety and ethics49
Everyday AI 91
All Everyday AI91Prompting20ChatGPT and Claude at work25AI for writing29AI for research and study33
Building with AI 162
All Building with AI162Python for AI21Building with LLM APIs30RAG and search21Evaluation and testing21AI agents31AI automation25AI coding assistants30
Machine learning 149
All Machine learning149Machine learning35Data science and statistics30Math for AI23Deep learning28NLP14Computer vision14Fine tuning and training12MLOps and deployment18
Creative AI 77
All Creative AI77Image and video AI58Audio and voice AI12AI for design33
AI at work 145
All AI at work145AI for business34AI for marketing and sales23AI for product and operations28AI for education28AI for professionals29AI careers18
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Profiling and Speeding Up Python

Profiling and Speeding Up Python

Find where your Python data and AI code really spends time and memory, then fix the parts that matter.AdvancedPython for AI4.7(3)78 lessonsSampleFelix Brandt$10Evaluating Retrieval Quality

Evaluating Retrieval Quality

Measure whether your retrieval finds the right passages with real queries, relevance labels and the right metrics.AdvancedEvaluation and testing4.7(3)75 lessonsSampleFumiko Arai$11Evaluating an AI Feature Before Launch

Evaluating an AI Feature Before Launch

Build an evaluation set, grade outputs reliably and set launch gates your team agrees onAdvancedAI for product and operations4.7(3)70 lessonsSampleSanjana Rao$14Building Small Internal Tools with an AI Assistant

Building Small Internal Tools with an AI Assistant

Build simple internal apps, forms and dashboards with AI help that colleagues can safely rely onAll levelsAI automation4.3(3)69 lessonsSampleJude Mensah$5Reviewing AI Support Answers for Quality

Reviewing AI Support Answers for Quality

Build a sampling and rubric process to judge AI support answers and catch failures earlyAdvancedAI for product and operations4.7(3)67 lessonsSampleTariq Haddad$12When Not to Automate

When Not to Automate

Recognise the tasks where automation costs more than it saves or puts people at riskAll levelsAI automation4.7(3)67 lessonsSampleIsabela DuarteFreeRAG Explained for Non Engineers

RAG Explained for Non Engineers

Understand how AI assistants answer from company documents, what can go wrong and what to ask your team.All levelsRAG and search4.7(3)66 lessonsSampleEmeka NwosuFreeAutomation for Operations Teams

Automation for Operations Teams

Build a shared, well governed set of automations across an operations team instead of scattered one offsAll levelsAI automation4.3(3)65 lessonsSampleHamza Qureshi$6Model Graded Evals and Their Pitfalls

Model Graded Evals and Their Pitfalls

Use language models as graders without fooling yourself: biases, validation against people and safeguards.AdvancedEvaluation and testing4.3(4)60 lessonsSampleGonzalo Ibarra$11Choosing the Right Model for a Task

Choosing the Right Model for a Task

Pick a model by testing it on your own task, weighing quality, speed, cost, context and data handling.All levelsBuilding with LLM APIs4.3(3)60 lessonsSampleGabriela Sousa$5Fallbacks for Provider Outages and Errors

Fallbacks for Provider Outages and Errors

Keep LLM features working through outages, overloads and slowdowns with deadlines, breakers and fallbacks.AdvancedBuilding with LLM APIs4.7(3)60 lessonsSampleFarid Haddad$11Fine tune, prompt or retrieve?

Fine tune, prompt or retrieve?

Choose between prompting, retrieval and fine tuning for your problem, and know whyAll levelsFine tuning and training4.7(3)59 lessonsSampleNeha VaradanFree