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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 Applications and Data
- Webhooks and instant triggers.
- Working with APIs and HTTP modules.
- Utilizing data stores.
Building Your First AI Agent
- Incorporating an LLM into a scenario.
- Prompting the agent for reliable output.
- Parsing and utilizing the agent's response.
Agents Connected to Data
- Retrieving and acting upon business data.
- Chaining steps and decision points.
- Implementing human-in-the-loop checkpoints.
End-to-End Automation
- Automating a real business process.
- Managing errors and retries.
- Monitoring and maintaining scenarios.
Summary and Next Steps
- Deliverable: A functional automated process linked with an AI agent.
Requirements
- No prior programming experience is necessary.
- Familiarity with web applications and spreadsheets.
- A fundamental understanding of your own business processes.
Target Audience
- Business and operations professionals.
- Team leads and process owners.
- Non-developers seeking 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
