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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to automation
- Understanding no-code automation and its ideal applications
- A comprehensive overview of Make and AI agents
Make Fundamentals
- Understanding scenarios, modules, and triggers
- Data mapping strategies between applications
- Implementation of filters and routers
Application and Data Integration
- Utilizing webhooks and instant triggers
- Interacting with APIs and HTTP modules
- Leveraging data stores
Creating Your Initial AI Agent
- Incorporating an LLM into a scenario
- Crafting prompts for consistent agent output
- Parsing and applying agent responses
Agents with Data Connectivity
- Accessing and utilizing business data
- Sequencing steps and decision logic
- Including human-in-the-loop verification points
End-to-End Automation
- Automating authentic business processes
- Managing errors and implementing retries
- Monitoring and maintaining scenario health
Summary and Future Steps
- Outcome: A functional automated process integrated with a connected AI agent.
Requirements
- Programming background is not a prerequisite
- Proficiency in navigating web applications and spreadsheets
- A fundamental grasp of existing business processes
Target Audience
- Business and operations specialists
- Team leaders and process owners
- Non-technical professionals interested in AI-driven workflow automation
Testimonials (3)
Strong confirmation that current LLMs are deployable for customer projects when the proper setup is in place.
Oliver Fromm
Course - Agentic AI for Enterprise Applications
Machine Translated
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
The mix of theory and practice and of high level and low level perspectives
