Practical AI courses with clear outcomes, a full syllabus and upfront pricing.
1 course
by Ritesh Vajariya
Learn why AI agents matter, how they choose and carry out steps, and where they may be useful. Follow one fictional research task, check its evidence and limits, then plan a small first test of your own.
1h 57m23 lessons
$0.99
Courses we’re preparing. Release dates and pricing have not been announced.
Learn how to use AI for common work tasks, from researching a question and organising information to drafting content and reviewing a simple analysis. Practise giving useful context, checking facts, and refining results so you can decide what to use, what to change, and what still needs your judgement.
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Move beyond trial-and-error prompting. Learn to define a goal, supply relevant context, use examples, set constraints, and describe the result you need. Through practical exercises, turn vague requests into clear instructions and learn how to evaluate and improve the responses you receive.
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Learn to map a repetitive task and turn it into a structured workflow using visual automation tools. Explore triggers, AI-assisted steps, decisions, and human approvals through a guided example. Build in checks and exception handling, and measure whether the process saves effort once review and corrections are included.
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Take the next step after AI Agents Explained with a guided agent-building project. Define a bounded task, configure instructions, connect a small set of tools, and test how the agent chooses its next action. Learn to inspect results, handle failures, and add human review before allowing consequential actions.
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Explore how AI can answer questions using a supplied collection of documents. Learn the foundations of retrieval-augmented generation, or RAG, through a guided knowledge-assistant example. Practise organising sources, checking citations, handling missing or conflicting information, and setting appropriate access boundaries.
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Learn a practical approach to using AI responsibly in everyday business decisions. Work through scenarios involving sensitive information, unsupported claims, bias, and actions that need approval. Create a simple review checklist and pilot plan, with clear ownership, escalation points, and measures for quality and risk.
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