Module 1
5h 15m
AI Impact
In this module, you’ll explore how to apply AI effectively in real-world situations. You’ll learn how to identify which tasks are suitable for AI, match appropriate AI capabilities to specific challenges, and evaluate AI applications based on their underlying technologies. This practical approach will equip you to make informed decisions about selecting and implementing AI tools for your specific needs.
Learning objectives
- Apply foundational AI concepts to real-world scenarios
- Analyze tasks to select the most suitable type of AI for completing them
- Evaluate AI applications based on their use of foundational concepts
Lessons
- Fundamentals of AI
- Aligning tasks to AI
- Evaluating everyday AI applications
Module 2
4h 45m
Decoding Responsible AI – Upholding Pillars of Trust
In this module, you’ll explore the ethical dimensions of AI and how they shape our technological landscape. You’ll learn how to analyze AI ethics challenges in common AI applications, evaluate fairness and transparency in AI tools, and assess the AI ethics implications of AI-generated outputs. This informed approach will equip you to make responsible decisions about designing, implementing, and using AI tools and applications that earn trust and respect human values.
Learning objectives
- Analyze AI ethics dilemmas in common AI applications
- Evaluate the fairness and transparency of AI tools in everyday tasks
- Evaluate the AI ethics implications of AI-generated outputs
Lessons
- AI ethics challenges with AI applications
- Fairness and transparency in AI tools
- Evaluating ethics in AI outputs
Module 3
4h 45m
Navigating AI Risks and Data Security
In this module, you’ll learn about the risks AI systems pose in everyday tasks and how these risks are classified. You’ll explore mitigation strategies to manage AI risks and make informed decisions about what data to share and what to keep private.
Learning objectives
- Determine risks in using AI for inputs and outputs in everyday tasks
- Recommend mitigation strategies for risks in the AI lifecycle
- Determine the risks of sharing specific data with AI tools
Lessons
- AI risks
- AI risk mitigation
- Risks of sharing data with AI tools
Module 4
4h 10m
AI-Powered Decision Making and Automation
In this module, you’ll explore how AI and human capabilities work together in real-world scenarios. Through practical examples from healthcare, banking, customer service, and everyday applications, you’ll learn how to distinguish between AI-driven and human-driven processes, evaluate when AI enhances or limits decision making, and develop frameworks for determining task suitability for AI automation.
Learning objectives
- Distinguish between AI-driven and human-driven processes in common tools
- Evaluate the influence of AI on decision making in everyday scenarios
- Develop criteria for deciding whether a task is suitable for AI
Lessons
- AI-driven versus human-driven processes
- Assessing task complexity and matching AI capabilities
- Analyzing the impact and suitability of AI-driven recommendations
Capstone project
2h 15m
Develop an AI Solution for a Public Health Organization
In this capstone project, you will apply AI literacy, ethical reasoning, and risk-aware decision making as you guide the Tri-County Wellness Alliance through the responsible adoption of AI tools.
Learning objectives
- Analyze tasks to select the most suitable type of AI for completing them
- Evaluate AI applications based on their use of foundational concepts
- Evaluate the fairness and transparency of AI tools in everyday tasks
- Evaluate the ethical implications of AI-generated outputs
- Recommend mitigation strategies for risks in the AI lifecycle
- Determine risks of sharing specific data with AI tools
- Evaluate the influence of AI on decision making in everyday scenarios
- Develop criteria for deciding whether a task is suitable for AI
Assessment
- In a project, you’ll answer questions to demonstrate your ability to develop an AI-supported solution incorporating ethical considerations and risk mitigation strategies. You will receive feedback with the goal of passing the project with a score of 80%. If you do not earn 80% or more on the first try, you can retry the project as many times as you want.
- Then, you’ll complete a 10-question assessment to demonstrate the knowledge and skills you applied in the project. You must get 80% to pass. You will receive feedback and can retry the assessment if needed.