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Course Outline
Introduction
- Transitioning from algorithmic thinking to automation.
- Understanding no-code automation and its appropriate applications.
- 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.
- Leveraging data stores.
Building Your First AI Agent
- Integrating an LLM into a scenario.
- Prompting the agent for consistent outputs.
- Parsing and utilizing the agent's response.
Agents Connected to Data
- Retrieving and acting upon business data.
- Chaining steps and decision-making logic.
- Incorporating human-in-the-loop checkpoints.
End-to-End Automation
- Automating a real business process.
- Implementing 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-technical staff 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
