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.
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
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
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
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
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
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
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
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
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
