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 Duration 21 hours

Course Outline

1. Fundamentals of AI-Driven Automation

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

2. No-Code Automation Platforms

  • Introduction to leading no-code ecosystems (Zapier, Make, n8n, etc.)
  • Establishing foundational automation pipelines
  • Linking external tools and services without writing code

3. AI as a Task Orchestrator

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

4. Developing Intelligent Workflows

  • Structuring prompt-response pipelines effectively
  • Employing AI for decision-making within workflow logic
  • Monitoring and refining workflow performance

5. Integration via Webhooks and APIs

  • Understanding the mechanics of webhooks
  • Connecting webhooks with no-code tooling
  • Activating AI tasks through external event triggers

6. Building Vibe Coding Applications

  • Overview of Vibe Coding and low-code app platforms
  • Creating simple AI-enhanced applications
  • Synchronizing apps with broader automation flows

7. Autonomous Agents and AI Architectures

  • Analyzing AI agent structures and capabilities
  • Decision-making, task planning, and autonomous execution
  • Addressing security and responsibility frameworks

8. Deployment of Autonomous AI Agents

  • Tools and platforms for agent development (AutoGPT, AgentGPT, etc.)
  • Defining objectives, constraints, and operational environments
  • Testing and launching agents for real-world scenarios

Conclusion and Path Forward

Requirements

  • A solid grasp of general business processes or digital workflows
  • Proficiency with cloud-based tools or SaaS applications
  • A mindset open to exploring AI-augmented systems

Target Audience

  • Operations managers and business analysts
  • Specialists in digital transformation and automation
  • Technical professionals investigating AI-centric workflows

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