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Duration 18 hours
Course Outline
Introduction
- From algorithmic thinking to automation
- The nature of no-code automation and ideal use cases
- An overview of Make and AI agents
Make Fundamentals
- Scenarios, modules, and triggers
- Data mapping between applications
- Filters and routers
Linking Applications and Data
- Webhooks and instant triggers
- Utilizing APIs and HTTP modules
- Leveraging data stores
Creating Your First AI Agent
- Incorporating an LLM into a scenario
- Prompting the agent for consistent outputs
- Parsing and applying the agent's responses
Agents Linked to Data
- Retrieving and acting on business data
- Chaining steps and decision points
- Human-in-the-loop checkpoints
End-to-End Automation
- Automating an actual business process
- Error handling and retry mechanisms
- Monitoring and maintaining scenarios
Conclusion and Future Steps
- Outcome: A functioning automated process with an integrated AI agent.
Requirements
- No prior programming knowledge is necessary
- Familiarity with navigating web applications and spreadsheets
- A foundational understanding of your specific business processes
Target Audience
- Business and operations specialists
- Team leads and process owners
- Non-developers looking to automate workflows using AI
Testimonials (3)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
The mix of theory and practice and of high level and low level perspectives