Course Content
MODULE 1: AI Fundamentals & The Modern Professional’s Toolkit [3 HOURS]
Learning Objectives By the end of this module, learners will be able to: 1. Explain AI in clear, non-technical language using the “new assistant” mental model. 2. Describe the 4Ds of effective AI use — Delegation, Description, Discernment, Diligence — and identify which ones this module focuses on. 3. Use the “Big 5” AI functions (Draft, Summarize, Analyze, Improve, Answer) to delegate at least one real task from their workweek. 4. Locate and turn on AI features in the productivity tools they already use (Google Workspace / Microsoft 365). 5. Articulate why AI literacy is now a core professional skill and how it connects to the full course promise.
0/15
LESSON 1.1.1 – Reframing AI: The New Assistant
02:35
LESSON 1.1.2 – 4Ds in Daily Work
03:24
LESSON 1.1.3 - Assignment [10 Minutes]
LESSON 1.2.1 – The “Big 5” AI Functions: Your Daily Superpowers
03:35
LESSON 1.2.2 – Big 5 in One Task
03:13
LESSON 1.2.3 - Assignment [15 minutes]
LESSON 1.3.1 – Your Hidden AI Toolkit: Discovery Tour
02:34
LESSON 1.3.2 – Tool Walkthrough
03:42
LESSON 1.3.3 - Assignment [15 Minutes]
LESSON 1.4.1 – Building Your AI Knowledge Base
02:30
LESSON 1.4.2 – Knowledge Base Construction
03:01
LESSON 1.4.3 Assignment [60 minutes]
LESSON 1.5.1 – AI’s Superpowers & Limitations
02:35
LESSON 1.5.2 – “Spot the Flaws”
02:38
LESSON 1.5.3 - Assignment [15 minutes]
MODULE 2: The Art of AI Communication – Mastering the Prompt [3 HOURS]
Learning Objectives: By the end of this module, learners will be able to: 1. Apply the T–C–O Framework (Task–Context–Output) to consistently create professional‑grade prompts. 2. Diagnose why a prompt failed and systematically improve it using a simple refinement cycle. 3. Differentiate between the three modes of AI interaction: Automation, Assistance, and Agency. 4. Chain multiple AI functions together to handle complex, multi-step workflows. 5. Adapt prompts for different tones, audiences, and professional contexts. 6. Recognize and avoid the 5 most common prompting mistakes that produce poor results.
0/15
LESSON 2.1.1 — Why Most Prompts Fail
03:19
LESSON 2.1.2 – Anatomy of a Failed Prompt
03:57
Lesson 2.1.3 Assignment [15 minutes]
LESSON 2.2.1 — Prompt Personas & T-C-O
03:34
LESSON 2.2.2 – From “Good” to “Great”
03:50
Lesson 2.2.3 - Assignment [15 Minutes]
LESSON 2.3.1 – Three Modes of AI Interaction
03:40
LESSON 2.3.2 – Three “A”s in Action
03:24
Lesson 2.3.3 - Assignment [15 minutes]
LESSON 2.4.1 – The Refinement Cycle
03:20
LESSON 2.4.2 – Turning “Better” into “Best”
02:56
Lesson 2.4.3 - Assignment [15 minutes]
LESSON 2.5.1 – Your Master Prompt Library
03:42
LESSON 2.5.2 – Build Your Own Prompt Templates
03:16
Lesson 2.5.3 - Assignment [60 minutes]
AI for Auto Auctions: The Practical Guide to Working Smarter

See attached files in the exercise section to access the course guidebook.

The guide is designed to be used as you go through the course materials.

Here is the summary of the video:

  • Introduction to Reframing AI
    • The video introduces a course focused on artificial intelligence as a practical tool rather than a futuristic concept.
    • A new mental model is presented that views AI as an assistant who is capable but lacks specialized company knowledge.
  • Capabilities and Limitations of AI
    • AI possesses significant raw capabilities, including the ability to process information quickly and access vast amounts of knowledge without needing breaks.
    • Despite these capabilities, AI lacks context regarding specific company intricacies, jargon, and client relationships.
    • Therefore, human guidance is essential to bridge the gap between raw AI capability and successful application.
  • The 4D Framework
    • To maximize the value of AI, the video introduces the “4D framework” as an operational roadmap: Delegation, Description, Discernment, and Diligence.
    • This framework is designed to turn AI into a controllable, high-performance tool.
  • Key Principles: Delegation and Description
    • The current module focuses on the first two principles: Delegation and Description.
    • Delegation involves identifying repeatable, data-heavy, or text-generation tasks suitable for the AI assistant.
    • Description requires providing clear, contextual instructions and prompts to improve the quality of the AI’s output.
  • Conclusion
    • The video concludes by emphasizing that AI extends human capacity but does not replace professional judgment.
    • Humans serve as the steering wheel, guiding the powerful engine of AI.
Exercise Files
Learners_Companion_Workbook_v3.pdf
Size: 465.85 KB
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