courses ·

If you spend your day in Word, Excel, email, and Slack, AI can give you back hours per week. This course is your practical onramp: Microsoft Copilot, ChatGPT, Claude, daily workflows, and the productivity patterns that compound over time.

1. 01

   Start here: what this course is about

   Welcome to AI for Knowledge Workers

   Read first. ~3 minutes.

2. 02

   Start here: what AI does for knowledge workers

   How generative AI can boost highly skilled workers productivity - MIT Sloan↗

   MIT Sloan on Harvard Business School research. Concrete data: 40 percent faster task completion, quality improvements. No marketing, just research.

3. 03

   The HBS field experiment

   Navigating the Jagged Technological Frontier: AI on Knowledge Worker Productivity and Quality↗

   The landmark 758-consultant Harvard Business School field experiment. Real numbers on where AI helps and where it hurts.

4. 04

   AI and knowledge management

   Harvard Business Review: How AI is Quietly Revolutionizing Knowledge Management↗

   HBR perspective on how AI changes the way teams find, organize, and use information. The 60 percent of your day spent on "work about work".

5. 05

   AI workflow automation, explained

   What is AI Workflow Automation? - Atlassian↗

   Atlassian's neutral explanation of AI workflow automation. What it is, what it changes, where to start.

6. 06

   30 days, one new habit per day

   30-Day AI Productivity Journey - Microsoft Copilot↗

   Structured plan from Microsoft. One small thing per day to build AI into your routine. Light on marketing, useful as a template.

7. 07

   15 concrete automations to copy

   Notion AI Workflows: 15 Automations You Should Be Using↗

   Specific automation recipes you can deploy in Notion or adapt to your stack. Status updates, meeting notes, knowledge retrieval.

8. 08

   Tools beyond chat (Zapier comparison)

   The best AI productivity tools in 2026 - Zapier↗

   Zapier's neutral curated list across 12 categories: writing, research, transcription, design, more. Pick tools, not platforms.

9. 09

   How workers actually adopt AI

   Beyond Training: How Workers Discover Value in Enterprise AI↗

   Research paper. The gap between formal AI training and how people actually find value at work. The patterns of real adoption.

10. 10

    Building AI fluency at scale

    Why Hands-On Learning Is Key to Building an AI-Fluent Workforce - Harvard Business Impact↗

    Harvard on what makes AI literacy stick. Hands-on experimentation beats training videos. How to grow your skills.

11. 11

    State of the art: agents as the new layer

    Microsoft 2026 Copilot Update: Agents as the Next Operating Layer for Work↗

    78 percent of knowledge workers now use AI agents weekly. Agent supervisors emerging as a new role. Where work is going in 2026.

12. 12

    Closing: what to take with you

    Closing: AI as a Teammate, Not a Tool

    Wrap-up. ~3 minutes.

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