AI Solutions Lab
Choose a practical task, write and test prompts, build an AI assistant, and assess its limits.
Build and test an AI approach for your work.
Bring a recurring work task. Use AI to test prompts, build and refine an assistant, check common failure modes, and try tools and automation. Apply what you learn in a capstone project. By the end, you will be able to choose a useful AI task, test an approach, and identify where its output needs checking.
Bring a recurring task and an AI account. Some advanced tools may need a paid tier or your organization's permission.
Prerequisites
- Bring a recurring work task and access to an AI account.
- Some advanced tools may require a paid tier or your organization's permission.
Curriculum
AI Foundations4 lessons
- Welcome to the AI Solutions Lab
An introduction to the course and its learning path.
- Choosing Your AI Provider
Consider which AI provider fits the task and context.
- Understanding AI Models
Explore the models behind common generative AI tools.
- AI Use Cases for Your Business
Identify a work challenge where AI might help.
SCRIBE Framework & Prompt Engineering9 lessons
- Why Most Prompts Fail
Examine common reasons an AI prompt misses its goal.
- The ‘S’ in SCRIBE
Explore the S element of the SCRIBE framework.
- The ‘C’ in SCRIBE
Explore the C element of the SCRIBE framework.
- The ‘R’ in SCRIBE
Explore the R element of the SCRIBE framework.
- The ‘I’ in SCRIBE
Explore the I element of the SCRIBE framework.
- The ‘B’ in SCRIBE
Explore the B element of the SCRIBE framework.
- The ‘E’ in SCRIBE
Explore the E element of the SCRIBE framework.
- Simple vs Complex SCRIBE
Compare shorter and more detailed uses of SCRIBE.
- Meta Prompting
Explore prompting an AI tool about the prompt itself.
Build, Test & Refine Your AI Assistant4 lessons
- What Is an AI Assistant?
Introduce the idea of an AI assistant for a defined task.
- Building Your Assistant
Explore creating an assistant for that task.
- Testing & Breaking Your Assistant
Try cases that may reveal gaps or failures.
- Iterating & Refining
Use test results to revise the assistant.
AI Limitations & Responsible Use8 lessons
- Why AI Gets It Wrong
Review reasons AI output can be unreliable.
- Hallucinations
Examine fabricated or unsupported AI output.
- Bias
Consider biased patterns in AI responses.
- Math Errors
Examine mistakes in AI-generated calculations.
- Outdated Information
Consider when AI output may miss recent changes.
- Sycophancy
Recognize responses that agree too readily.
- Big Red Button Syndrome
Explore the course's named risk pattern.
- The Risk-Opportunity-Systems Framework
Consider risk and opportunity within the surrounding system.
Tools & Connectors9 lessons
- The AI Tool Ecosystem
Survey categories of AI tools used in the course.
- Canvas
Explore a canvas workspace for AI-assisted work.
- Image and Video
Explore AI tools for image and video tasks.
- Web Search
Explore web search as an AI tool capability.
- Deep Research
Explore a longer-form AI research workflow.
- File Creation
Explore creating files with AI tools.
- Data Analysis
Explore AI-assisted data analysis.
- Tools vs Connectors
Distinguish built-in tools from external connections.
- Configuring Connectors
Explore connector setup and its permissions.
Automation & Agents4 lessons
- What Is Automation?
Introduce automation for recurring work.
- Choosing an Automation Platform
Consider platform choices for an automation task.
- Agentic Workflows
Explore workflows in which an AI agent performs steps.
- Scheduled Tasks & Recurring Workflows
Explore work that runs on a schedule or repeats.
Capstone Project3 lessons
- Capstone Overview & Requirements
Review the capstone's scope and requirements.
- Building Your Capstone
Work through the capstone project.
- Submission & Showcase
Prepare the project for submission and sharing.
Start AI Solutions Lab.
Put AI to work on a recurring task while learning how to test its output and use it responsibly.
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