Professional Development

[CB DRAFT] PRDV432: No-Code AI Automation

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Resume

  • Unit 3 Conclusion

    ‹3.4: Troublesho...
    Unit 3 Assessme...›

    Unit 3: Building and Troubleshooting No-Code Workflows
    Conclusion
    In this unit, you turned planning into action by working with no-code platforms and learning how to connect applications and move data between them. You also added conditional logic so your workflows could respond in different ways instead of following only one path. These skills help you build automations that are more useful and better matched to real tasks.
    You also learned how to troubleshoot common workflow issues. That matters because even simple automations can fail if steps do not connect correctly or if data does not move as expected. With these skills, you are better prepared to build workflows that work in real settings. In the next unit, you will extend this work by bringing generative AI into your automations.

  • 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 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

  • Unit 6

  • 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

‹3.4: Troublesho...
Unit 3 Assessme...›
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  • line 7292 of /lib/moodlelib.php: call to {closure}()
  • line 71 of /lib/classes/hook/output/before_footer_html_generation.php: call to get_plugins_with_function()
  • line 987 of /lib/classes/output/core_renderer.php: call to core\hook\output\before_footer_html_generation->process_legacy_callbacks()
  • line 372 of /course/view.php: call to core\output\core_renderer->footer()