Move beyond individual prompts and learn how to build repeatable AI-assisted workflows for complex professional tasks. In this advanced course, you'll learn how to design effective AI workflows, create reusable prompt systems, manage larger projects and information sources, and establish quality-control processes that improve consistency and productivity. Through practical examples and hands-on activities, you'll develop strategies for integrating ChatGPT into ongoing work processes while maintaining appropriate human oversight and judgment.
CEUs: 1.6
Length (in hours): 16
Price in USD $295
Price in CAD $335
Agenda
Unit 1
From Prompts to Systems
-
Understand the difference between one-off prompts, workflows, and AI-assisted systems
-
Identify recurring professional tasks that can benefit from workflow design
-
Break complex tasks into manageable workflow steps
-
Map a task from beginning to end and identify where AI can assist
-
Define the role of human expertise and oversight within AI-assisted workflows
Unit 2
Building Reusable Prompt Systems
- Create reusable prompt templates that can be adapted for recurring tasks, audiences, and situations
- Create prompt libraries to improve consistency and efficiency
- Create repeatable AI-assisted workflows for complex work
- Standardize AI-assisted processes across similar tasks and projects
Unit 3
Working with Documents and Complex Projects
- Use ChatGPT to summarize, compare, and analyze large documents
- Work with multiple sources and reference materials
- Organize information across longer projects and workflows
- Leverage AI throughout multi-stage projects to clarify next steps, reduce repetitive work, and support stronger business outcomes
- Develop AI-assisted workflows for writing, reporting, and content development
Unit 4
Quality Control and Sustainable AI Workflows
- Establish quality-control processes to review and verify AI-assisted work and AI-generated outputs?
- Identify when AI is appropriate—and when traditional methods may be more effective
- Recognize risks involving bias, hallucinations, confidentiality, and inaccurate information
- Build sustainable long-term AI productivity systems that incorporate human oversight