Course
Introduction to AI for Work
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Prerequisites
There are no prerequisites for this courseUnderstanding AI
Learning Machines
You will understand what AI is, how machine learning works through pattern recognition, and why it represents a fundamental shift from traditional programming.
Generative AI
You will understand what large language models are, their impressive capabilities, how they work, and the practical capabilities of generative AI beyond language.
Value of AI for Work
The Opportunity
You will understand AI as a practical productivity tool and recognize the opportunity to become an early adopter who leverages AI effectively in your career.
How AI Can Help You
You will develop a practical mental model for recognizing when AI can help by learning to identify tasks that match four key AI capabilities— Execution, Thought Partnership, Refinement, and Continuous Learning.
Working with AI
Working with AI Effectively
You will learn the essential collaboration patterns for working effectively with AI and develop confidence in communicating with AI through practical strategies.
Working with AI Responsibly
You will understand AI's limitations and learn to work with it responsibly, ensuring quality outputs while protecting privacy and making informed tool choices.
Complete
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FAQs
Is this course suitable for beginners?
Yes. The first chapter starts by defining artificial intelligence and separating fact from fiction, so no prior AI or technical knowledge is required.
What will I be able to do after completing this course?
You will be able to write effective prompts, choose the right AI interaction mode for a task, and apply a safety checklist to avoid common AI pitfalls like hallucinations and bias.
Which AI concepts and tools does this course cover?
The course covers large language models, prompt engineering, iterative refinement, and responsible AI use. You will practice with real AI chatbot applications throughout the lessons.
How does this course approach prompt engineering?
It teaches a four-component framework built around ask, requirements, context, and examples, then shows you how to diagnose weak prompts and improve outputs across multiple turns.
Who will benefit most from this course?
Professionals who want to use AI to accelerate content creation, data analysis, and decision-making without needing a technical background.
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