Turn what you know into an opportunity and reach millions around the world.

Your cart is empty.

AI Productivity Masterclass: From Prompts to Verified Work

Turn emails, meetings, data, research and automation into verified professional work on approved AI platforms and tools.

Created byEngr. Ziyad Alghamdi

Last updated 8/2026

English

What you'll learn

Evaluate recurring professional tasks for AI suitability using risk, repeatability, evidence and verification criteria.
Construct complete professional instructions with the BRIEF framework: Background, Result, Inputs, Expectations and Fact-check.
Apply a pre-upload data and privacy gate before sharing information with any AI platform or tool.
Conduct source-grounded research and assess sources for authority, independence, date and relevance.
Verify material claims with the VERIFY method and distinguish verified, unsupported and false statements.
Produce evidence-traceable emails, meeting records, presentations, analyses and decision memos.
Design human-in-the-loop automations and agents with clear permissions, exception paths, escalation and monitoring.
Build a maintainable personal AI workspace, prompt register, operating procedure and verified capstone portfolio piece.

Course content

8 sections • 27 lectures • 4h 34m total length

Welcome — From AI Features to Finished Work10:23
Understand the course promise, distinguish a professional workflow from a one-off prompt, and identify the practical outputs you will build.
Find the Right Work for AI10:39
Classify professional tasks by suitability, consequence, repeatability, evidence requirements and verification effort.
Data, Privacy and the Approval Gate13:15
Identify restricted information, distinguish approved enterprise use from personal use, and apply a pre-upload decision gate.
AI Productivity Operating System — Knowledge Check

The BRIEF Prompt Framework12:25
Convert vague instructions into complete professional specifications using Background, Result, Inputs, Expectations and Fact-check.
Iteration — From First Draft to Approved Output9:35
Separate generation, critique and revision instead of asking an AI tool to produce a perfect answer in one attempt.
Build Context Packs and Reusable Prompts10:32
Create reusable context and controlled prompt assets without repeatedly entering sensitive or inconsistent instructions.
BRIEF and Professional Prompting — Knowledge Check

Source-Grounded Research with ChatGPT and Gemini12:20
Using ChatGPT and Gemini as recorded examples, distinguish quick search from deep research, define a bounded question and require auditable evidence. Apply the same method in any tool that supports grounded research and traceable citations.
NotebookLM as an Evidence Workspace10:14
Using NotebookLM as the recorded example, create a bounded evidence workspace, interrogate selected sources and produce a cited briefing. Transfer the method to any approved tool that works from a defined source set.
Hallucinations and the VERIFY Method12:31
Recognise hallucination patterns, decompose outputs into individual claims and apply a repeatable verification sequence.
Research and Verification — Knowledge Check

Executive Emails That Lead to Action9:40
Convert raw information into concise executive communication with a clear purpose, decision, owner and next action.
The Before–During–After Meeting System10:09
Prepare decision-led agendas, extract decisions and actions, and create reliable follow-up records.
Reports and Presentations from Authorised Sources9:00
Build a report narrative and presentation structure without inventing evidence or confusing design with analysis.
Communication and Meetings — Knowledge Check

Data Analysis with AI Without Losing Control11:12
Prepare structured data, define calculations, reconcile totals and validate AI-assisted analysis before using the conclusions.
Scenario Analysis and Decision Memos8:54
Structure options, assumptions and sensitivities while keeping the final decision with the accountable human.
AI as a Critical Thinking Partner10:39
Use AI for counterarguments, premortems, steelmanning and assumption testing rather than passive agreement.
Analysis and Decision Support — Knowledge Check

HR — From Job Request to Structured Hiring Pack10:27
Clarify role requirements, create consistent hiring materials and identify fairness and evidence risks.
Finance — Variance Analysis and Management Commentary8:28
Reconcile narrative to data, distinguish evidenced drivers from speculation and draft controlled management commentary.
Procurement — Supplier Comparison Without False Precision9:09
Normalise supplier quotations, identify exclusions and prepare an auditable commercial comparison.
PMO — Status, Risks, Decisions and Recovery8:52
Consolidate project records into a reliable governance pack with visible risks, decisions, exceptions and owners.
Engineering — Requirements, Reviews and Traceability9:30
Structure engineering requirements and review questions while preserving technical authority and traceability.
Consulting — Research to Executive Recommendation10:52
Structure a consulting problem, synthesise evidence and produce a recommendation with explicit assumptions and limitations.
Cross-Functional Role Labs — Knowledge Check

Decide What to Automate9:41
Distinguish a stable automation opportunity from an unreliable AI experiment and document the necessary controls.
Build a No-Code AI Workflow9:39
Translate plain-language requirements into a no-code workflow and test normal, exception and failure cases.
Human-in-the-Loop Agent Design12:15
Define agent identity, boundaries, permissions, escalation rules, monitoring and irreversible-action controls.
Automation and Agents — Knowledge Check

Build Your Personal AI Workspace7:21
Organise recurring work, approved sources, reusable context and ownership controls in a maintainable workspace.
Create Your Personal AI SOP and Prompt Library7:20
Document a repeatable AI standard operating procedure and maintain prompt quality through structured review.
Capstone — From Messy Inputs to a Verified Executive Pack9:41
Execute the full course method on six conflicting sources. Attempt the case first, score it with the rubric second and open the model deliverables only after completing your own work.
Personal AI System and Capstone — Final Knowledge Check

Requirements

No coding or prior AI experience is required.
Access to at least one AI platform or tool approved for the practice material you use.
Microsoft Excel or another spreadsheet application for the workbook exercises.
One recurring, non-confidential or safely synthetic task from your own work.
A willingness to verify AI-assisted outputs and retain responsibility for every release decision.

Description

This course contains the use of artificial intelligence.

AI tools change quickly. Professional accountability does not. This course teaches a platform-neutral operating method for turning everyday workplace inputs into verified professional outputs that a named human can review, defend and release.

The course is not limited to ChatGPT, Copilot, Gemini, NotebookLM or any other vendor. ChatGPT, Gemini and NotebookLM appear in two recorded research demonstrations, but the methods transfer to any current or future AI platform, assistant, agent or tool that can perform the task and is approved for the data involved.

Build Professional AI Workflows You Can Verify and Defend

Across 27 HD video lectures, you will learn how to select suitable work, protect information, define the required result, ground work in permitted sources, verify material claims and retain human responsibility for the final decision.

Two practical frameworks run through the course.

BRIEF turns a vague request into a professional specification by defining the Background, Result, Inputs, Expectations and Fact-check.

VERIFY breaks an AI-assisted output into claims, evaluates the consequence of error, opens the original evidence and records whether each material statement is verified, unsupported or false.

You will apply these methods to:

• Executive emails and professional correspondence

• Meeting agendas, decisions, actions and follow-up

• Source-grounded research and evidence briefs

• Reports, presentations and decision memos

• Spreadsheet analysis, reconciliations and scenarios

• HR, Finance, Procurement, PMO, Engineering and Consulting work

• No-code workflows and human-in-the-loop agents

• Personal AI workspaces, prompt registers and operating procedures

The downloadable learner package includes editable templates, printable reference files, spreadsheets, control checklists, practice data and a complete capstone case. The capstone asks you to work from six conflicting sources, surface four deliberate traps, identify unsupported claims and produce a verified executive pack without filling evidence gaps with plausible guesses.

No coding or previous AI experience is required. You need access to at least one AI platform or tool approved for your practice material and a spreadsheet application for the data exercises. If your real work is confidential, use synthetic or properly authorised examples while preserving the structure of the task.

This is not a model-building, API-development or vendor-interface course. It does not ask AI to make employment, financial, engineering, legal, safety or other professional decisions. It teaches you how to delegate bounded parts of the work while retaining evidence, judgement and accountability.

The final course contains approximately four hours and thirty-five minutes of video, practical challenges throughout, a 108-question assessment bank and downloadable working files for every stage of the method.

Bring one recurring task from your own week and apply the course method as you progress. You will finish with a tested workflow, a documented personal standard and a capstone example demonstrating responsible AI-assisted work.

AI assists. You decide.

Who this course is for:

Managers and team leaders who produce decisions, reports, presentations and operational updates.
Analysts working in Finance, FP&A, Procurement, Operations, PMO or related functions.
Professionals in HR, Engineering, Consulting and technical delivery who want controlled AI-assisted workflows.
Office professionals who want a defensible and repeatable way to use AI at work.
Existing AI users who want methods that transfer across current and future platforms, assistants, agents and tools.
Beginners who want a structured professional workflow instead of disconnected prompt tips.

AI Productivity Masterclass: From Prompts to Verified Work

What you'll learn

Explore related topics

Course content

AI Productivity Operating System3 lectures • 34min

Prompting for Professional Outputs3 lectures • 33min

Research and Verification3 lectures • 35min

Communication and Meetings3 lectures • 29min

Analysis and Decision Support3 lectures • 31min

Cross-Functional Role Labs6 lectures • 57min

Automation and Agents3 lectures • 32min

Personal AI System and Capstone3 lectures • 24min

Requirements

Description

Who this course is for: