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AI For Everyone (AI4E)

Part 3 · Working With AI Tools

Nine hands-on lessons: choosing a tool, prompting, specification thinking, agents, deep research, visuals and analysis. You practice on your own real work.

  1. Lesson 25

    The AI Tool Landscape (and Choosing the Right One)

    Describe the 4 major AI assistant platforms (Claude, Gemini, Copilot, ChatGPT), what each does well, and how to access them. Choose one to use for this course.

    3 min · self-check

  2. Lesson 26

    Prompting as a Professional Skill

    Construct effective prompts using the CRISP framework (Context, Role, Instructions, Specifics, Parameters). Transform 3 vague requests into structured prompts.

    4 min · self-check

  3. Lesson 27

    Structured Prompting (Specification Thinking)

    Specify complex tasks as structured instructions: break multi-step work into clear components, define expected outputs, set constraints, and provide examples. Apply to one real work task.

    4 min · self-check

  4. Lesson 28

    Building Your First AI Skill/Agent (No Code)

    Build a custom AI agent (Custom GPT, Gem, Claude Project, or Copilot agent) that handles one recurring task in your work. No programming, just structured instructions and examples.

    3 min · self-check

  5. Lesson 29

    Agentic AI Workflows

    Delegate a multi-step task to an agentic AI tool (Claude Cowork, Gemini Spark, ChatGPT agent mode, or Microsoft Copilot agents) and evaluate the result by documenting what was delegated, what boundaries were set, and what you reviewed before accepting the output.

    4 min · self-check

  6. Lesson 30

    Creating Visuals and Presentations with AI

    Create professional visuals using at least two AI tools (a slide deck (Gemini in Google Slides), an interactive diagram (Claude), and a video overview (NotebookLM)) by writing clear visual briefs that specify content, audience, and format.

    3 min · self-check

  7. Lesson 31

    Deep Research for Evidence-Based Decisions

    Commission a Deep Research task using Claude, Gemini, or Perplexity (writing a clear research brief that specifies context, scope, criteria, and output format) and evaluate the resulting report against your original brief.

    3 min · self-check

  8. Lesson 32

    AI-Powered Analysis Without Coding

    Perform a data analysis task using AI (summarise trends, compare options, extract insights from a document) without any programming. Use natural language instructions only.

    3 min · self-check

  9. Lesson 33

    Document Synthesis and Data-Driven Decisions

    Synthesise information across multiple documents using NotebookLM (cross-document questions, Audio Overviews) and justify a business decision using AI-assisted analysis, gathering evidence from internal documents and external research, challenging the reasoning, and presenting a recommendation with evidence.

    3 min · self-check