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Course Outline
Introduction
- Transitioning 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
- Utilizing data stores
Building Your First AI Agent
- Integrating an LLM into a scenario
- Prompting the agent for consistent output
- Parsing and utilizing the agent's response
Agents Connected to Data
- Retrieving and acting on business data
- Chaining steps and decision logic
- Implementing human-in-the-loop checkpoints
End-to-End Automation
- Automating a real business process
- Error handling and retry mechanisms
- Monitoring and maintaining scenarios
Summary and Next Steps
- Deliverable: A functional automated process integrated with an AI agent.
Requirements
- No prior programming experience is necessary
- Proficiency in using web applications and spreadsheets
- A fundamental understanding of your own business processes
Target Audience
- Business and operations professionals
- Team leaders 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
