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AI & LLM Foundations
What AI/LLMs are, how they work topline, tokens, context, capabilities and limits, hallucinations
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Prompt Engineering
Prompt patterns, context, iteration, structured prompts, getting reliable outputs
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AI in Daily Work
Everyday use cases, productivity, writing, analysis, research, workflows
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Responsible & Trustworthy AI
Bias, hallucinations, privacy and data, verification, ethics, governance basics
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Building with AI
Structuring AI projects, tools landscape (RAG, agents, tool use, APIs, no/low-code), code basics, evaluation
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ChatGPT & the OpenAI Ecosystem
GPTs, Code Interpreter, tools, projects, capabilities and specifics of ChatGPT
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Claude & the Anthropic Ecosystem
Projects, Artifacts, tool use, MCP, Claude Code, structuring projects with Claude
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Gemini & Google AI
Gemini app, Workspace integration, AI Studio, capabilities and specifics of Gemini