top of page
An introductory course for all learners exploring what Artificial Intelligence is, how it works, and where it shows up in daily life. Establishes a strong cognitive foundation for AI literacy.
That’s equivalent to:
-
~9 full-time work weeks (40 hrs/week)
-
Or ~6–9 months part-time study (if learners do 10–15 hrs/week)
Course 1
Prompt Engineering 101: Speaking to Machines
Modules:
-
What Is Prompt Engineering?
-
Role of Context, Temperature & Tokens
-
Prompt Types: Instructional, Few-Shot, Chain-of-Thought
-
Common Pitfalls & How to Fix Them
-
Prompt Debugging Labs
Course 2
Orchestrating AI Workflows: From Input to Output
Modules:
-
Intro to AI Workflow Orchestration
-
Overview of Zapier, Make, LangChain, Flowise
-
Connecting Tools with APIs
-
Building End-to-End Pipelines
-
Testing and Monitoring AI Chains
Course 3
Comparing the Giants: GPT vs. Claude vs. Gemini
Modules:
-
Understanding the Model Landscape
-
Capabilities of GPT-4o, Claude 3, Gemini 1.5
-
Strengths & Weaknesses by Use Case
-
Tool Ecosystems & API Differences
-
Ethical, Bias & Output Variance
Explore Program
bottom of page