Professional Development

[CB DRAFT] PRDV432: No-Code AI Automation

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  • Unit 6

    ‹Unit 5 Assessme...
    6.1: Testing an...›

    Unit 6:
    Introduction
    This unit focuses on what makes an automation usable over time. A workflow may seem complete when it first runs, but real-world use often reveals errors, gaps, and new needs. Testing and debugging help you find those issues before they cause problems.
    You also consider ethics, privacy, human oversight, and long-term planning. These topics matter because automation affects people, data, and work quality. By the end of the unit, you are ready to think not only about building automations, but also about supporting them responsibly as they grow and change.
    Unit 6: Testing and Scaling
    Introduction
    By now, you have seen how no-code automation, generative AI, and AI agents can help you design useful workflows. This unit helps you move from building to using those workflows with more care and confidence. You will focus on what can go wrong, how to notice problems early, and how to keep automations useful as your needs grow.
    That matters because an automation is only valuable when it works reliably in real use. As you study testing, debugging, privacy, oversight, and scaling, you are learning how to protect both the quality of your work and the people who depend on it. These ideas connect directly to the workflows and agents you have already explored, and they prepare you to use automation in a more responsible and sustainable way.

    This unit aligns with the following Course Learning Outcomes:

    • Test and debug workflows and agents for accuracy and reliability.
    • Apply ethical, privacy, and governance principles to AI automations.
    • Implement human oversight, approval steps, and error-handling mechanisms in automations.
    • Develop strategies to monitor, refine, document, and scale automations over time.

  • Introduction

  • Course Introduction

  • Unit 1

  • 1.1: Understanding No-Code Automation

  • 1.2: Types of Automations: Rule-Based, AI-Enhanced, and Agents

  • 1.3: Exploring Free No-Code Tools

  • 1.4: How Generative AI Powers Automation

  • Unit 1 Conclusion

  • Unit 1 Assessment

  • Unit 2

  • 2.1: Spotting Repetitive Tasks in Your Work

  • 2.2: Creating Visual Process Maps

  • 2.3: Defining Triggers, Actions, and Conditions

  • 2.4: Prioritizing Automation Ideas

  • Unit 2 Conclusion

  • Unit 2 Assessment

  • Unit 3

  • 3.1: Getting Started with No-Code Platforms

  • 3.2: Connecting Applications and Moving Data

  • 3.3: Adding Conditional Logic

  • 3.4: Troubleshooting Common Workflow Issues

  • Unit 3 Conclusion

  • Unit 3 Assessment

  • Unit 4

  • 4.1: Integrating Free Generative AI Services

  • 4.2: Using AI for Dynamic Content Tasks

  • 4.3: Creating Responsive AI-Enhanced Workflows

  • 4.4: Writing Effective Prompts for Automation

  • Unit 4 Conclusion

  • Unit 4 Assessment

  • Unit 5

  • 5.1: What Are AI Agents?

  • 5.2: Building Your First Simple AI Agent

  • 5.3: Adding Decision-Making to Agents

  • 5.4: Combining Agents with No-Code Workflows

  • Unit 5 Conclusion

  • Unit 5 Assessment

  • 6.1: Testing and Debugging Automations

  • 6.2: Ethical and Privacy Considerations

  • 6.3: Adding Human Oversight and Error Handling

  • 6.4: Planning for Long-Term Use and Scaling

  • Unit 6 Conclusion

  • Unit 6 Assessment

  • Study Guide

  • Final Exam

‹Unit 5 Assessme...
6.1: Testing an...›
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