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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
Core Concepts of Make
- Scenarios, modules, and triggers
- Data mapping between applications
- Filters and routers
Integrating Apps and Data
- Webhooks and instant triggers
- Working with APIs and HTTP modules
- Utilizing data stores
Developing Your First AI Agent
- Incorporating an LLM into a scenario
- Crafting prompts for consistent agent output
- Interpreting and utilizing the agent's response
Linking Agents to Data
- Fetching and acting upon business data
- Chaining steps and decision nodes
- Incorporating human-in-the-loop verification points
End-to-End Automation
- Automating a practical business process
- Error handling and retry mechanisms
- Oversight and maintenance of scenarios
Summary and Future Steps
- Outcome: A functional automated process integrated with an AI agent.
Requirements
- Programming experience is not necessary
- Familiarity with web applications and spreadsheet tools
- Foundational knowledge of your own business processes
Target Audience
- Professionals in business and operations
- Team leaders and process owners
- Non-technical staff seeking to automate workflows using 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
