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Course Outline
Introduction
- Moving from algorithmic thinking to automation
- Understanding no-code automation and its appropriate use cases
- Overview of Make and AI agents
Fundamentals of Make
- Scenarios, modules, and triggers
- Data mapping between applications
- Filters and routers
Connecting Apps and Data
- Webhooks and instant triggers
- Working with APIs and HTTP modules
- Utilising data stores
Building Your First AI Agent
- Incorporating an LLM into a scenario
- Prompting the agent to ensure reliable output
- Parsing and utilising the agent's response
Agents Connected to Data
- Retrieving and acting upon business data
- Chaining steps and decision points
- Human-in-the-loop checkpoints
End-to-End Automation
- Automating a real-world business process
- Error handling and retry mechanisms
- Monitoring and maintaining scenarios
Summary and Next Steps
- Deliverable: a functional automated process with an integrated AI agent.
Requirements
- No programming experience necessary
- Proficiency in using web applications and spreadsheets
- A fundamental understanding of your own business processes
Audience
- Business and operations professionals
- Team leads and process owners
- Non-developers seeking to automate workflows using 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
