Practical AI Masterclass
A rebuilt ten-part foundation covering prompting, tools, agents, data, RAG, safety, and careers.
What you will be able to do
Choose and supervise AI tools with clear evidence instead of trusting outputs blindly.
Included tools
- ChatGPT
- Claude
- Gemini
- Perplexity
- NotebookLM
Content map
See what you will learn—and whether the lessons are genuinely available or still an outline.
This is an editorial outline for candidate content. Its titles are not published lessons and may change after review.
Understand the foundations4 lessons
- How modern AI systems produce an answerOutline only — lesson not published
- Turn a goal into a testable promptOutline only — lesson not published
- Choose the right assistant or specialist toolOutline only — lesson not published
- Research with sources and visible uncertaintyOutline only — lesson not published
Build the workflow3 lessons
- Work with documents and structured dataOutline only — lesson not published
- Understand agents, tools, and permission limitsOutline only — lesson not published
- Ground answers with retrieval and citationsOutline only — lesson not published
Verify and ship3 lessons
- Protect privacy and reduce harmful failureOutline only — lesson not published
- Evaluate quality with a repeatable testOutline only — lesson not published
- Build an evidence-based learning and career planOutline only — lesson not published