AI Productivity for Professionals

For IT leaders: Many teams already use ChatGPT, Gemini, or Copilot, but each person writes prompts differently, outputs vary, and few employees understand the data risks. This beginner course gives your team one shared, repeatable prompting method that works across Google Workspace, Microsoft 365, and ChatGPT.

Role and team fit: No prior AI experience is required. It suits project managers, analysts, HR specialists, marketers, and IT staff who spend their days on email, meetings, documents, and spreadsheets. It is a strong first step before assigning AI training on a specific platform.

Time investment: About 5.5 hours per learner, split into seven skills of roughly 45–55 minutes each. The course uses practical workplace examples across Docs, Slides, Sheets, and research workflows, so teams can build AI productivity habits one skill at a time.

Risk and governance: Learners practice keeping examples (style and format only) separate from excerpts (facts) and adding safety lines to their prompts. The course also explains the trade-offs of tool choices. Staying inside one approved ecosystem is presented as the safest path for teams standardizing AI use.

Change management: The methods are platform-agnostic, so they hold up as your organization’s approved tools change. To build a governed AI rollout, you can pair this course in a Playlist with AI Compliance, Privacy & Copyright: HR, Legal, IT.

Teams that juggle email, meetings, and data lose hours to drafting, reformatting, and summarizing. This course gives non-technical staff a repeatable prompting method — context, role, and expectation, plus examples and safety lines — that works across Gemini, ChatGPT, and Copilot. Your team gets consistent, fact-grounded output instead of trial-and-error results.

In the course, learners turn messy notes into usable work. Raw homepage-redesign meeting notes become a structured team update with status, blockers, and owners. One project proposal is carried from a Google Doc into a full slide deck, showing how teams can reuse a strong source document across work apps.

• Faster, more consistent team communication: Team Leads can reuse approved example outputs as style templates. Status updates and messages then follow the same format every time.
• One source, many deliverables: Practitioners build a solid document first, then reuse it to generate presentations and other structured outputs. This cuts rework across tools.
• Grounded, lower-risk output: Learners keep examples as format-only and supply facts as separate excerpts. Using placeholders when needed reduces data contamination and made-up details in shared work.
• Clearer tool guidance: The course compares similar workflows across ChatGPT, Gemini, NotebookLM, and Microsoft Copilot. That helps IT Directors steer teams toward approved ecosystems and source-grounded research practices.

The final skill applies the same method to research and learning with ChatGPT, Gemini, and NotebookLM. Teams can summarize ideas, connect documents, generate reports, and create learning materials such as mind maps, quizzes, and flashcards.

Knowledge

• The three types of software (1.0, 2.0, 3.0) and how plain-language prompting differs from explicit rules like Excel formulas and email filters
• The core prompt toolkit taught in the course: context, role, and expectation (CRE), zero-shot vs. few-shot examples, "ask to" instructions, and safety lines
• Why examples should be labeled "format and style only" and kept separate from factual excerpts to prevent data contamination
• How a single well-built document can feed related slides and spreadsheet charts for a unified deliverable
• Platform-agnostic techniques that apply across Google Gemini, Microsoft Copilot, ChatGPT, and NotebookLM
• How approved AI ecosystems and safety lines help reduce organizational data risk when using workplace AI tools

Ability

• Turn raw meeting notes into structured team status updates with owners, blockers, and next steps
• Draft emails and messages with reusable prompts that hold tone, length, and format steady
• Build a full document in Gemini, then extend it into a slide presentation with images
• Use AI to build spreadsheet tables, formulas, and graphs that put numbers behind a proposal
• Research topics, compare summaries in ChatGPT, Gemini, and NotebookLM, and use NotebookLM to create learning outputs such as mind maps and podcasts
• Apply safety lines and work within approved ecosystems to help protect organizational data