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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to automation
- Understanding no-code automation and its optimal use cases
- Overview of Make and AI agents
Make Fundamentals
- Scenarios, modules, and triggers
- Mapping data across applications
- Implementing filters and routers
Connecting Apps and Data
- Webhooks and instant triggers
- Utilizing APIs and HTTP modules
- Managing data stores
Building Your First AI Agent
- Incorporating an LLM into a scenario
- Engineering prompts for reliable agent output
- Parsing and utilizing agent responses
Integrating Agents with Data
- Retrieving and acting upon business data
- Chaining steps and decision logic
- Including human-in-the-loop checkpoints
End-to-End Automation
- Automating a real business process
- Implementing error handling and retries
- Monitoring and maintaining scenarios
Summary and Next Steps
- Deliverable: A functional automated process with an integrated AI agent.
Requirements
- No prior programming experience is necessary
- Proficiency in using web applications and spreadsheets
- A foundational understanding of your specific business processes
Target Audience
- Business and operations professionals
- Team leads and process owners
- Non-developers seeking to automate workflows with AI
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
