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 Duration 21 hours

Course Outline

1. Introduction to AI-Driven Automation

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

2. No-Code Automation Platforms

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

3. AI as a Task Orchestrator

  • Leveraging AI to interpret, route, and respond to data
  • Prompt chaining and conditional logic
  • Case studies on AI in workflow orchestration

4. Developing Intelligent Workflows

  • Structuring pipelines for prompt and response interactions
  • Utilizing AI for decision-making within workflows
  • Monitoring and optimizing workflow efficiency

5. Utilizing Webhooks and APIs

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

6. Building and Linking Vibe Coding Applications

  • Overview of Vibe Coding (or low-code app platforms)
  • Creating straightforward AI-powered applications
  • Integrating apps with automation flows

7. Autonomous Agents and AI Systems

  • Understanding AI agents and their architectural components
  • Decision-making, task planning, and self-execution
  • Considerations for security and responsibility

8. Designing and Deploying Autonomous AI Agents

  • Tools and platforms for creating autonomous agents (e.g., AutoGPT, AgentGPT)
  • Defining objectives, constraints, and operational environments
  • Testing and deploying agents for real-world scenarios

Summary and Next Steps

Requirements

  • A foundational understanding of general business processes or digital workflows.
  • Familiarity with cloud-based tools or SaaS applications.
  • An open mindset towards utilizing AI-enhanced systems.

Target Audience

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

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