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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to automation.
- Understanding no-code automation and its appropriate use cases.
- An overview of Make and AI agents.
Fundamentals of Make
- Exploring scenarios, modules, and triggers.
- Mapping data flow between different applications.
- Utilizing filters and routers.
Connecting Apps and Data
- Leveraging webhooks and instant triggers.
- Working with APIs and HTTP modules.
- Implementing data stores.
Building Your First AI Agent
- Incorporating an LLM into a scenario.
- Prompting agents to ensure reliable output.
- Parsing and utilizing agent responses.
Agents Connected to Data
- Retrieving and acting upon business data.
- Chaining sequential steps and decisions.
- Implementing human-in-the-loop checkpoints.
End-to-End Automation
- Automating an actual business process.
- Handling errors and managing retries.
- Monitoring and maintaining scenarios.
Summary and Next Steps
- Deliverable: A functional automated process with an integrated AI agent.
Requirements
- No programming background is necessary.
- Confidence in using web applications and spreadsheets.
- A foundational understanding of your own business operations.
Target Audience
- Business and operations professionals.
- Team leads and process owners.
- Non-developers interested in automating 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
