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Course Outline

1. Introduction to AI-Driven Automation

  • AI as a catalyst for productivity and scalability
  • Overview of automation use cases based on prompts
  • Progressing from one-off prompts to continuous processes

2. No-Code Automation Tools

  • Introduction to leading no-code platforms (such as Zapier, Make, n8n, etc.)
  • Configuring basic automation pipelines
  • Linking external tools and services without requiring coding

3. AI as a Task Connector

  • Utilizing AI to interpret, route, and respond to data
  • Implementing prompt chaining and conditional logic
  • Case studies featuring AI in workflow orchestration

4. Creating Intelligent Workflows

  • Structuring prompt-response pipelines
  • Leveraging AI to facilitate decisions within workflows
  • Monitoring and enhancing workflow efficiency

5. Working with Webhooks and APIs

  • Understanding webhooks and their functionality
  • Integrating webhooks with no-code tools
  • Initiating AI tasks through external events

6. Building and Connecting Vibe Coding Applications

  • Overview of Vibe Coding (or low-code application platforms)
  • Developing simple AI-driven applications
  • Integrating applications with automation flows

7. Autonomous Agents and AI Systems

  • Comprehending AI agents and their underlying architecture
  • Decision-making, task planning, and self-execution
  • Considerations regarding security and responsibility

8. Designing and Deploying Autonomous AI Agents

  • Tools and platforms for constructing autonomous agents (including AutoGPT, AgentGPT, etc.)
  • Defining goals, constraints, and operating environments
  • Testing and deploying agents for real-world applications

Summary and Next Steps

Requirements

  • A solid understanding of general business processes or digital workflows
  • Experience with cloud-based tools or SaaS applications
  • A willingness to explore and work with AI-enhanced systems

Target Audience

  • Operations managers and business analysts
  • Digital transformation and automation specialists
  • Technical professionals investigating AI-driven workflows
 21 Hours

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