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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to automation
- Understanding the concept of no-code automation and appropriate use cases
- Overview of Make and AI agents
Fundamentals of Make
- Scenarios, modules, and triggers
- Mapping data across applications
- Implementing filters and routers
Connecting Apps and Data
- Utilising webhooks and instant triggers
- Working with APIs and HTTP modules
- Leveraging data stores
Building Your First AI Agent
- Incorporating an LLM into a scenario
- Prompting the agent to ensure consistent output
- Parsing and utilising the agent's responses
Agents Connected to Data
- Retrieving and processing business data
- Chaining steps and logical decisions
- Including human-in-the-loop checkpoints
End-to-End Automation
- Automating a real-world business process
- Implementing error handling and retry mechanisms
- Monitoring and maintaining scenarios
Summary and Next Steps
- Deliverable: A functional automated process featuring a connected AI agent.
Requirements
- No programming background is necessary
- Confidence in using web applications and spreadsheets
- A foundational grasp of your own business processes
Target Audience
- Business and operations specialists
- Team leads and process owners
- Non-developers aiming to automate workflows using 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
