Professional Development

[CB DRAFT] PRDV432: No-Code AI Automation

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Resume

  • Unit 1 Conclusion

    ‹1.4: How Genera...
    Unit 1 Assessme...›

    Unit 1: Introduction to No-Code AI Automation
    Conclusion
    In this unit, you learned the basic idea of no-code automation and how it can help you save time by reducing manual work. You also saw how different kinds of automation work, from simple rule-based flows to AI-enhanced systems and agents. Together, these ideas show that automation is not one single tool or method. It is a set of approaches you can choose from based on the task you want to improve.
    You also explored free no-code tools and how generative AI can support automation. This gives you a foundation for thinking about what is possible without needing to write code. In the next unit, you will use that foundation to look closely at your own work, identify repetitive tasks, and decide which problems are best suited for automation.

  • 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 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

  • 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

‹1.4: How Genera...
Unit 1 Assessme...›
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