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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to automation
- Understanding no-code automation and its ideal use cases
- Overview of Make and AI agents
Make Fundamentals
- Scenarios, modules, and triggers
- Mapping data across different applications
- Utilizing filters and routers
Connecting Applications and Data
- Webhooks and instant triggers
- Working with APIs and HTTP modules
- Utilizing data stores
Creating Your First AI Agent
- Integrating an LLM into a scenario
- Prompt engineering for reliable agent output
- Parsing and leveraging the agent's response
Agents Integrated with Data
- Retrieving and processing business data
- Chaining steps and decision logic
- Implementing human-in-the-loop checkpoints
End-to-End Automation
- Automating a real business process
- Managing error handling and retries
- Monitoring and maintaining scenarios
Summary and Next Steps
- Deliverable: a functional automated process with a connected AI agent.
Requirements
- No prior programming experience is necessary.
- Proficiency with web applications and spreadsheets.
- A foundational understanding of your own business processes.
Target Audience
- Business and operations professionals.
- Team leads and process owners.
- Non-developers looking 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
