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 Duration 7 hours

Course Outline

Transitioning from Process to Automation

  • Step-based thinking: decomposing processes into automatable workflows
  • Determining which tasks to automate versus those requiring human oversight

Foundations of Make

  • Understanding scenarios, modules, and triggers
  • Data mapping techniques across various applications
  • Utilizing filters and routers for data flow control

Integrating Applications and Data

  • Implementing webhooks and instant triggers
  • Working with spreadsheet, email, and calendar modules
  • Data persistence strategies between execution runs

Incorporating AI into Scenarios

  • Adding AI models to existing scenarios
  • Crafting prompts to ensure reliable and consistent outputs
  • Leveraging model responses for classification, extraction, and decision-making

Developing Your First AI Agent

  • Agent components: instructions, available tools, and data access
  • Assigning scenarios as functional tools for the agent
  • Connecting agents to enterprise business data
  • Implementing human-in-the-loop approval workflows

Operational Execution

  • Error management and retry mechanisms
  • Ongoing monitoring and maintenance of live scenarios
  • Tracking costs and usage limitations

Conclusion and Future Roadmap

  • Participant presentations on the automated processes developed
  • Identifying future automation candidates and continuous learning paths

Key Deliverable: A functional automated process featuring an AI step and an initial agent, accompanied by a roadmap for subsequent automation projects.

Requirements

  • No prior programming knowledge is necessary
  • Familiarity with navigating web applications and spreadsheet software
  • Identification of at least one repetitive internal process for automation

Target Audience

  • Business and operations specialists
  • Team leaders and process owners
  • Non-technical professionals seeking to implement AI-driven workflow automation within a single day

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