← Course Home AFK-001 AI Fundamentals for Knowledge Workers
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Course Orientation

Course Orientation: Welcome & Overview (Optional)

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Course Overview & Roadmap

Course Vision & Structure

Comprehensive orientation to AI Fundamentals for Knowledge Workers. Covers the complete curriculum roadmap, target audience background, prerequisite verification, hands-on environment and tooling readiness checklist, and recommended learning strategies. Facilitator Note: Instructors may utilize this 30-minute orientation window to administer the diagnostic Pre-Assessment test provided in the Trainer Preparation Guide to benchmark baseline learner proficiency before starting Module 1.

🎯 Course Learning Objectives

This course will cover the following objectives:

  • 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.
  • Direct browser-based autonomous AI agents through multi-step administrative workflows while mitigating hallucinations and quality risks.

Curriculum Roadmap

This course spans 1 day and is organized into 5 modules designed to take you from core foundations to practical mastery:

  • Module 0: Course Orientation: Welcome & Overview (Optional) — Comprehensive orientation to AI Fundamentals for Knowledge Workers. Covers the complete curriculum roadmap, target audience background, prerequisite verification, hands-on environment and tooling readiness checklist, and recommended learning strategies. Facilitator Note: Instructors may utilize this 30-minute orientation window to administer the diagnostic Pre-Assessment test provided in the Trainer Preparation Guide to benchmark baseline learner proficiency before starting Module 1.

  • Module 1: AI Foundations, Responsible Use, and Workplace Governance — Understand core generative AI concepts, terminology, and organizational policies for data privacy and intellectual property protection.

  • Module 2: Prompt Engineering and Business Content Generation — Master structured prompting frameworks to generate clear, targeted business content across multiple conversational platforms.

  • Module 3: Streamlining Document Drafting and Spreadsheet Analysis — Accelerate office productivity by drafting business correspondence, synthesizing reports, and executing spreadsheet tasks with AI assistance.

  • Module 4: Supervising Task-Oriented AI Agents and Everyday Workflows — Manage multi-step browser-based AI workflows and autonomous agent interactions while maintaining active human oversight.

Each module builds upon prior concepts, pairing instructional theory with applied practice to maximize retention and job readiness.

💡 Key Takeaways

  • Comprehensive curriculum spanning 1 day and 5 core modules.
  • Structured progressive learning path from fundamentals to practical mastery.
  • Balanced delivery combining instructional concepts with hands-on practice.

Target Audience & Prerequisites

Intended Audience

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

Course Level: BEGINNER

Prerequisites & Assumed Background

Basic familiarity with standard web browsers and office applications such as word processors and spreadsheets, with no prior AI or technical experience required.

No unlisted specialized equipment or proprietary backgrounds are required. If you meet the baseline prerequisites, you will have all the foundational context necessary to succeed.

💡 Key Takeaways

  • Designed specifically for Business professionals, administrative assistants, operations personnel, and project coordinators se...
  • Course audience level: beginner.
  • Clear baseline prerequisites ensure all learners can follow along comfortably.

Environment & Tooling Readiness

Hands-on Environment & Tooling

Practical application is central to this curriculum. To get the full value of the exercises and lab assignments, verify your tools and environment before starting Module 1.

Readiness Checklist

  • Web Browser Access: Ensure you have access to a modern desktop web browser (Google Chrome, Microsoft Edge, Mozilla Firefox, or Apple Safari).
  • Generative AI Platform Account: Verify active access to at least one major conversational AI tool (such as free accounts on OpenAI ChatGPT, Anthropic Claude, or Microsoft Copilot).
  • Office Applications: Ensure access to standard word processing and spreadsheet applications (such as Microsoft 365, Google Docs/Sheets, or desktop equivalents) to test and review AI prompt outputs.
  • Data Governance Safeguards: Follow your organization's data protection policies: never input confidential company records, proprietary customer data, or unapproved personal data into public AI services.

💡 Key Takeaways

  • Verify terminal, software, and account credentials prior to Module 1.
  • Review the readiness checklist to ensure an unblocked lab experience.
  • Access sandbox environments and documentation links before starting practical work.

Learning Strategies & How to Succeed

Learning Strategies & Navigation

To maximize your learning outcomes and skill development:

Best Practices

  • Active Participation: Work through every concept and examine the diagrams and architectural models closely.
  • Hands-on Labs: Complete each guided lab procedure step-by-step, verifying commands and observing outputs.
  • Self-Assessment: Leverage knowledge checks and review questions at the end of each module to gauge comprehension.
  • Reference Materials: Utilize the Quick Reference Guide and downloadable resources throughout your study.

💡 Key Takeaways

  • Engage actively with structured lessons, diagrams, and code snippets.
  • Execute and verify lab procedures step-by-step.
  • Use knowledge checks and reference guides to solidify retention.
Baseline Assessment 10 Questions · Zero Pressure

📝 Diagnostic Pre-Assessment

Benchmark your current baseline familiarity with generative AI concepts before starting Module 1. This diagnostic assessment does not affect your final completion score.

Question 1 of 10 · Module 2 When testing identical business prompts across free browser tiers of ChatGPT, Claude, and Gemini, what is the primary benefit to a knowledge worker?
Question 2 of 10 · Module 1 What is an AI 'hallucination' in the context of office productivity tools?
Question 3 of 10 · Module 2 Which of the following demonstrates an effective iterative prompt for adjusting an operational update for executive leadership?
Question 4 of 10 · Module 1 How do generative Large Language Models (LLMs) primarily generate written responses in conversational office tools?
Question 5 of 10 · Module 1 What is a major data privacy consideration when knowledge workers use free, public browser-based AI tools?
Question 6 of 10 · Module 1 In the context of generative AI, what is a model 'hallucination'?
Question 7 of 10 · Module 2 What are the four components of the RCTC prompt engineering framework?
Question 8 of 10 · Module 2 How do the default writing styles of ChatGPT and Claude commonly differ when processing structured prompts?
Question 9 of 10 · Module 2 Why is prompt engineering characterized as an iterative dialogue rather than a single-step action?
Question 10 of 10 · Module 3 What is the primary role of data cleaning in office spreadsheet management?

🎯 Orientation Complete

Ready to Begin

You have completed the course orientation and reviewed the curriculum roadmap, prerequisites, and environment setup guidelines.

Next Step: Proceed to Module 1 to begin your training journey!

🎉

Orientation Complete

You have reviewed the course orientation and are ready to begin Module 1.