AI Fundamentals for Knowledge Workers (AFK-001) — Free Course by Courseware Studio

Enterprise Courseware Showcase

Free for Internal Training & Classroom Adoption

This course is an open-access demonstration of full-spectrum curriculum generated automatically by Courseware Studio AI. You and your organization are welcome to study, share, and deliver this training internally at zero cost under the Creative Commons Attribution (CC BY 4.0) license.

Curriculum Planning

📄 Official Syllabus PDF

Download the print-ready 9-page course outline with module timings, learning objectives, and prerequisites.

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LMS Deployment

📦 SCORM 2004 LMS Bundle

Ready to deploy in your LMS (Cornerstone, Canvas, Moodle, Blackboard, Workday). Includes manifest, quiz tracking, and embedded AI Tutor.

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Trainer Delivery Kit

🎓 Free Instructor Kit

Delivering this course live? Request the full PowerPoint slides (.pptx), 120-page Instructor Guide, and Trainer Prep Guide free.

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Course Overview

About this course

This course teaches foundational generative AI principles, practical prompting techniques, and safe workplace practices across routine office workflows. It is designed for business professionals, administrative staff, and project coordinators who possess basic office application skills but have no prior programming or AI background. After completing the training, learners will be able to draft correspondence, process spreadsheet data, supervise multi-step AI workflows, and maintain organizational confidentiality and compliance standards.

Target Audience

Business professionals, administrative assistants, operations personnel, and project coordinators seeking to integrate generative AI safely into daily office tasks.

Prerequisites

Basic familiarity with web browsers and standard office applications (word processors and spreadsheets). No programming or prior AI experience required.

Learning Outcomes

Course learning objectives

Upon successful completion of this course, you will be able to:

Identify core generative AI concepts, capabilities, limitations, and workplace compliance rules concerning data privacy and intellectual property.
Construct structured, role-based prompts using proven prompting frameworks across major conversational AI platforms.
Generate, summarize, and refine professional business documents and communications while applying effective human-in-the-loop review.
Apply AI-assisted prompts to spreadsheet tasks including formula creation, data cleaning, and tabular summary generation.
Supervise multi-step, task-oriented AI workflows and simulated agents while mitigating hallucinations and quality risks.

Curriculum Schedule & Timing

Course pacing and module breakdown

The core course spans 360 minutes (6.0 hours) across Modules 1–4, comprising 200 minutes of lessons and demonstrations, 120 minutes of hands-on guided labs (30 min per module), and 40 minutes of review and knowledge checks. The optional Course Orientation adds 30 minutes (390 minutes total).

Curriculum Component	Lessons & Demos	Hands-On Lab	Review & Quiz	Total Duration
Module 0: Course Orientation (Optional)	25 min	—	5 min	30 min
Module 1: AI Foundations & Governance	50 min	🧪 30 min Lab	10 min	90 min
Module 2: Prompt Engineering & Content	45 min	🧪 30 min Lab	10 min	85 min
Module 3: Documents & Spreadsheet Analysis	50 min	🧪 30 min Lab	10 min	90 min
Module 4: Supervising AI Workflows & Agents	55 min	🧪 30 min Lab	10 min	95 min
Core Course Total (Modules 1–4)	200 min	120 min (2.0 hrs)	40 min	360 min (6.0 hrs)
Full Course with Orientation (Modules 0–4)	225 min	120 min	45 min	390 min (6.5 hrs)

Interactive Course Modules

Orientation · 30 min total 25m Overview & Roadmap 5m Readiness Check

Course Orientation: Welcome & Overview

Curriculum vision, roadmap, prerequisite verification, and browser/account readiness checklist.

Start Orientation →

Module 1 · 90 min total 50m Lessons & Demos 🧪 30m Hands-on Lab 10m Review & Quiz

AI Foundations, Responsible Use, and Workplace Governance

Core LLM mechanisms, token prediction vs reasoning, data privacy safeguards, IP boundaries, and organizational policies.

🧪 Lab 1: Evaluating Safe Data Inputs & Governance Verification (30 min)

Start Module 1 →

Module 2 · 85 min total 45m Lessons & Demos 🧪 30m Hands-on Lab 10m Review & Quiz

Prompt Engineering and Business Content Generation

Structured prompt frameworks (Role, Context, Task, Constraints), few-shot prompting, tone calibration, and iterative refinement.

🧪 Lab 2: Multi-Platform Structured Prompting & Comparative Iteration (30 min)

Start Module 2 →

Module 3 · 90 min total 50m Lessons & Demos 🧪 30m Hands-on Lab 10m Review & Quiz

Streamlining Document Drafting and Spreadsheet Analysis

Drafting executive memos, meeting summaries, spreadsheet formula generation, data cleaning, and human-in-the-loop verification.

🧪 Lab 3: Document Drafting, Data Cleaning & Spreadsheet Formulas (30 min)

Start Module 3 →

Module 4 · 95 min total 55m Lessons & Demos 🧪 30m Hands-on Lab 10m Review & Quiz

Supervising Task-Oriented AI Agents and Everyday Workflows

Multi-step workflow orchestration, agent boundaries, permission checkpoints, hallucination detection, and quality gates.

🧪 Lab 4: Supervising Multi-Step Workflow Orchestration (30 min)

Start Module 4 →

Platform Capabilities

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References

Authoritative sources & further reading

Official documentation and technical references supporting this course curriculum: