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 Duration 7 hours

Course Outline

From process definition to automation

  • Adopting a step-based thinking approach: dissecting processes into automatable workflows
  • Determining which tasks to automate and which require human intervention

Foundations of Make

  • Understanding scenarios, modules, and triggers
  • Data mapping between different applications
  • Utilizing filters and routers

Integrating applications and data sources

  • Implementing webhooks and immediate triggers
  • Using modules for spreadsheets, email, and calendars
  • Persisting data across multiple execution runs

Incorporating AI into scenarios

  • Adding AI models to workflow scenarios
  • Crafting prompts that yield reliable results
  • Leveraging model responses for classification, data extraction, and decision-making

Constructing your first AI agent

  • Defining an agent: its instructions, tools, and data dependencies
  • Assigning scenarios as tools for the agent
  • Linking the agent to relevant business data
  • Implementing human approval gates before agent actions

Operational execution

  • Managing errors and configuring retries
  • Monitoring and maintaining scenario health
  • Understanding costs and usage limits

Recap and future directions

  • Participants present the processes they have automated
  • Identifying subsequent automation opportunities and strategies for continued progress

Deliverable: A functional automated process featuring an AI step and an initial agent, along with a roadmap of next processes to automate.

Requirements

  • Programming knowledge is not a prerequisite
  • Familiarity with navigating web applications and spreadsheets
  • Identification of one repetitive personal process desired for automation

Target Audience

  • Professionals in business and operations roles
  • Team leaders and owners of key processes
  • Non-technical individuals seeking to automate workflows with AI within a day

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