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Course Outline
Introduction
- From algorithmic thinking to automation
- What no-code automation is and when to use it
- Overview of Make and AI agents
Fundamentals of Make
- Scenarios, modules, and triggers
- Mapping data between apps
- Filters and routers
Connecting Apps and Data
- Webhooks and instant triggers
- Working with APIs and HTTP modules
- Using data stores
Building Your First AI Agent
- Adding an LLM into a scenario
- Prompting the agent for reliable output
- Parsing and using the agent's response
Agents Connected to Data
- Retrieving and acting on business data
- Chaining steps and decisions
- Human-in-the-loop checkpoints
End-to-End Automation
- Automating a real business process
- Error handling and retries
- Monitoring and maintaining scenarios
Summary and Next Steps
- Deliverable: a working automated process with a connected AI agent.
Requirements
- No programming experience is required.
- Comfort with using web applications and spreadsheets.
- A basic understanding of your own business processes.
Audience
- Business and operations professionals.
- Team leads and process owners.
- Non-developers who wish to automate workflows with AI.
18 Hours
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
