Professionals
Use AI more consistently for communication, documents, research, meetings, presentations, and everyday data.
Level 2 · AI Productivity Course
AI Productivity
A practical AI productivity course for professionals and knowledge workers who want to build repeatable, AI-assisted workflows.
Move beyond individual prompts and turn everyday work into repeatable AI-assisted workflows that you can review, verify, improve, and reuse.
Practical AI Training for Modern Work
This live online AI training for professionals builds on Level 1 confidence and turns individual tasks into repeatable workflows: Input → AI → Review → Verify → Improve → Deliver → Reuse.
Who this course is for
Students and knowledge workers
Turn reading, writing, planning, and research into clearer repeatable processes.
Independent professionals
Build practical workflows that save time while keeping judgment and relationships human-led.
Level 1 graduates
Continue from basic prompting into reliable work patterns, or join with equivalent basic AI experience.
Skills you will build
- Handle writing and communication faster with a verified workflow.
- Extract useful information from documents and produce decision-ready briefs.
- Build evidence-based research and recommendation processes.
- Turn meetings and notes into clear actions, owners, and follow-up.
- Create audience-focused presentations and professional content.
- Use AI with everyday spreadsheet data while checking calculations and conclusions.
- Build reusable personal AI workflows that remove busywork without removing judgment.
Level 2 expectations
Know What to Expect Before You Start
AI should remove busywork—not remove judgment. You keep responsibility, relationships, and final decisions.
Prerequisites
- Level 1 or equivalent basic AI experience is recommended.
- Comfort asking AI useful questions, drafting text, summarizing information, and generating ideas.
- Willingness to review AI output, protect sensitive information, and verify important results.
- Basic browser and computer comfort. No coding is required.
This course is not designed for
- Complete beginners who have never used generative AI.
- Advanced machine-learning, model-training, or software/API automation engineering.
- Anyone expecting AI to operate without human review or guarantee job, business, or income outcomes.
Eight practical modules
Full Curriculum, Lessons, and Exercises
Each module builds a useful work product, from a Workflow Card to a reusable Personal AI Productivity Playbook.
Prompts to Workflows
Move beyond one-shot prompts by designing repeatable AI-assisted processes with human checkpoints.
Lesson summaries
- Distinguish a good prompt from a complete workflow.
- Map input, purpose, AI work, human check, output, and reuse.
- Build reusable context packs and checkpoints.
Practical exercise
Build Your First Productivity Workflow for a recurring real task.
Module outcome: Design a repeatable AI-assisted workflow.
Communication & Writing
Understand complex communication before drafting clear, verified professional responses.
Lesson summaries
- Extract requests, decisions, deadlines, and missing information.
- Separate analysis from drafting and adapt tone to the audience.
- Verify commitments before sending a response.
Practical exercise
Turn a messy inbox thread into a summary, actions, response strategy, and verified reply.
Module outcome: Turn complex communication into a clear, verified response process.
Documents & Knowledge Work
Turn documents into actionable knowledge rather than stopping at a generic summary.
Lesson summaries
- Choose outputs appropriate to the document purpose.
- Extract findings, evidence, risks, questions, and comparisons.
- Check claims against the original source.
Practical exercise
Create a One-Page Decision Brief with findings, evidence, risks, and next steps.
Module outcome: Extract and transform document information into actionable output.
Research & Decision Support
Use AI for evidence-based research while separating source evidence from human judgment.
Lesson summaries
- Break a large decision into smaller research questions.
- Compare alternatives using source quality and evidence tables.
- Identify uncertainty and verify consequential claims.
Practical exercise
Complete an Evidence-Based Recommendation Challenge between real options.
Module outcome: Build evidence-based research and decision-support workflows.
Meetings & Follow-Up
Use AI across preparation, capture, organization, and follow-up while respecting policy and law.
Lesson summaries
- Prepare objectives, agendas, and background briefs.
- Distinguish notes from decisions, owners, and deadlines.
- Turn meeting information into follow-up and next-meeting preparation.
Practical exercise
Turn messy notes into a Meeting-to-Action Workflow.
Module outcome: Turn meeting information into decisions, ownership, and follow-up.
Presentations & Content
Use AI as a content partner while keeping people responsible for story, accuracy, and judgment.
Lesson summaries
- Start with audience, outcome, message, and story—not slides.
- Build outlines, meaningful titles, and concise content.
- Challenge and rehearse material before delivery.
Practical exercise
Build a 5-Slide Decision Presentation.
Module outcome: Create audience-focused presentations through a structured AI workflow.
Spreadsheets & Everyday Data
Explore ordinary data with AI without requiring advanced data-science skills.
Lesson summaries
- Understand a dataset and spot missing or inconsistent data.
- Ask useful questions in plain language and use AI-assisted formulas.
- Verify calculations, charts, and management conclusions.
Practical exercise
Turn a spreadsheet into an AI-Assisted Data Insight Report.
Module outcome: Use AI to explore everyday data and produce verified insights.
Personal Productivity System
Turn individual skills into a sustainable personal system of reusable AI-assisted work.
Lesson summaries
- Separate human-led, AI-assisted, and automatable work.
- Choose tools and workflows by quality, risk, and repetition.
- Measure time and quality improvements without surrendering judgment.
Practical exercise
Build a Personal AI Productivity Playbook and one complete real-work workflow.
Module outcome: Build a reusable personal AI productivity system.
How You Will Learn
Understand → Watch → Build → Verify → Reuse. Every activity keeps human review at the center.
Understand
See the workflow and its purpose.
Watch
Follow a realistic instructor demonstration.
Build
Create a useful work product from your own task.
Verify & Reuse
Check the result, improve it, and make it repeatable.
Completion expectations
Build a Personal Productivity System
Complete the final challenge: a real workflow with clear input, AI steps, a human checkpoint, verification, final output, and reusable version.
You will leave with practical work products including workflow cards, communication and meeting workflows, decision briefs, research recommendations, presentation material, a data insight report, and a personal AI productivity playbook.
Live Class Details
Review the confirmed schedule, live online format, 10-participant class size, and $79 USD course fee below. Interest registration does not reserve a seat or collect payment.
Interest Registration Open
AI Productivity
- Date
- September 19–20, 2026 (Saturday & Sunday)
- Time
- 9:00 AM–12:00 PM Eastern Time each day
- Location
- Live Online
- Format
- Instructor-led Live Training
- Class size
- 10 participants
- Course fee
- $79 USD
- Registration deadline
- Registration closes at 11:59 PM Eastern Time on September 18, 2026
Certificate Information
Certificate availability and participation requirements are still being finalized. No certificate should be assumed until confirmed details are published.