AI FOR WORK

AI at Work: Foundations

39 lessons across 13 modules, from tool selection to verifiable work

Start with the task you need to complete. The course covers core assistants, research, translation, meetings, images, video, audio, knowledge bases, AI coding, automation, and personal agents, followed by presentation and an action plan. Each module combines selection, operation, and reusable methods, with attention to evidence, costs, permissions, and acceptance checks.

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Course content

MODULE 0

MODULE 0: Getting ready: tools, accounts, and boundaries

Map tools to tasks, prepare accounts and payment, and set privacy, recording, and commercial-use boundaries.

MODULE 1

MODULE 1: Core assistants: selection, features, and prompts

Choose a primary assistant, use files and canvases, and practice structured prompts and persistent instructions.

MODULE 2

MODULE 2: AI search, research, and learning

Compare search methods and practice source checking, research frameworks, and guided learning.

MODULE 3

MODULE 3: Translation, documents, and review

Choose translation tools by task and use glossaries and staged review for long documents.

MODULE 4

MODULE 4: Meeting capture, tools, and follow-up

Select a recording workflow, verify meeting notes, and turn decisions into actions with owners and deadlines.

MODULE 5

MODULE 5: Images: tools, settings, and references

Compare image tools and practice four-element prompts, reference images, and iterative editing.

MODULE 6

MODULE 6: Video: limits, costs, and a finished sequence

Set realistic expectations and a trial budget, then turn an idea into six shots and a 30-second sequence.

MODULE 7

MODULE 7: Audio: transcription, voice, music, and podcasts

Connect transcription, voiceover, authorized voice use, music, and podcast production with human review.

MODULE 8

MODULE 8: Knowledge bases: setup and reuse

Organize material with a minimal setup, use business dates for logs, and make knowledge searchable and reusable.

MODULE 9

MODULE 9: AI coding: tools, testable examples, and iteration

Choose a coding approach, work through ROI and expense examples, and iterate against acceptance criteria.

MODULE 10

MODULE 10: Automation: platforms, connections, and reliability

Build a structured content workflow and check fields, permissions, failures, costs, and human approval.

MODULE 11

MODULE 11: Personal agents: tools, Skills, and execution boundaries

Define an agent's scope, connect practice material, and install and verify a weekly-report Skill.

MODULE 12

MODULE 12: Delivery, visual presentation, and an action plan

Prepare slides and charts, evaluate results on real tasks, and build an ongoing improvement routine.

Learning outcomes

Complete a real task, record sources, time, cost, and rework, then decide what to learn, buy, or automate next.

Choose tools and subscriptions by task and define data, recording, and commercial-use boundaries.
Use structured prompts, search, and translation to process information with sources.
Complete meeting notes, image, video, audio, and knowledge organization tasks.
Verify results with ROI, expense consolidation, structured content, and weekly-report Skill exercises.
Set permissions, failure handling, and human review for automation and agents.
Deliver slides, charts, and an action plan, then improve through use.