BeginnerStart here. No prior knowledge assumed.
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Lesson 1
AI in the Workplace — Overview
How AI is embedding into every business tool and the practical productivity gains that are actually happening.
Lesson 2
Microsoft Copilot 365
AI in Word, Excel, PowerPoint, Teams, and Outlook — what Copilot does in each application and where it genuinely saves time.
Lesson 3
Gemini for Google Workspace
AI in Gmail, Docs, Sheets, and Meet — Google's AI integration and how it compares to Copilot.
Lesson 4
Notion AI
AI writing, summarising, and database queries in Notion — practical uses for teams that run on Notion.
Lesson 5
AI for Meeting Management
Otter.ai, Fireflies, and AI meeting tools — automatic notes, action items, and the meeting workflows that actually save time.
What is Microsoft Copilot 365?
What does Otter.ai primarily do?
IntermediateBuild on the basics.
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Lesson 1
Gamma — AI Presentations
Creating professional presentations from prompts — when Gamma works and when you still need PowerPoint.
Lesson 2
Beautiful.ai and Presentation Tools
AI-assisted slide design — the tools that handle layout so you focus on content.
Lesson 3
AI for Email Management
Copilot in Outlook, Gmail AI features, and third-party email AI — drafting, summarising, and prioritising.
Lesson 4
Tome — AI Documents
AI-generated documents and reports — when AI document tools work and when traditional word processors are better.
Lesson 5
AI in Spreadsheets
Copilot in Excel, Gemini in Sheets — formula generation, data analysis, and the practical limits of spreadsheet AI.
What is Gamma?
What is the main benefit of AI in spreadsheets?
AdvancedDepth, edge cases and strategy.
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Lesson 1
Building an AI Productivity Stack
Choosing the right combination of AI productivity tools for your specific workflow and team.
Lesson 2
AI for Project Management
How AI is integrating into Asana, Notion, Monday, and other PM tools — task generation, status summaries, and planning.
Lesson 3
AI for HR and Recruiting
AI in hiring workflows — job description generation, CV screening assistance, and the ethical considerations.
Lesson 4
Measuring Productivity Gains from AI
How to actually measure whether AI tools are saving time — before/after analysis and realistic expectations.
Lesson 5
Security and Data Considerations
What happens to data you put into business AI tools — the privacy and security questions every organisation should ask.
What should you consider before using business AI tools with sensitive data?
What is the most realistic expectation for AI productivity tools?