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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic concepts to practical automation
- Understanding no-code automation and its appropriate use cases
- A high-level view of Make and AI agents
Core Concepts of Make
- Understanding scenarios, modules, and triggers
- Mapping data flows between different applications
- Implementing filters and routers for data control
App and Data Integration
- Utilizing webhooks and immediate triggers
- Interacting with APIs and HTTP modules
- Leveraging data stores for persistence
Creating Your First AI Agent
- Incorporating a Large Language Model (LLM) into a scenario
- Crafting prompts to ensure consistent agent outputs
- Processing and utilizing responses generated by the agent
Agents Interfacing with Data
- Accessing and executing actions based on business data
- Sequencing steps and decision logic
- Including human-in-the-loop verification points
Comprehensive Automation
- Automating genuine business workflows
- Managing errors and implementing retry mechanisms
- Monitoring scenario health and ongoing maintenance
Wrap-Up and Future Actions
- Key Outcome: A functional automated process integrated with a live AI agent.
Requirements
- No prior programming knowledge is necessary
- Familiarity with navigating web applications and using spreadsheets
- A foundational grasp of your organization's specific business processes
Intended Audience
- Business and operations specialists
- Team leaders and individuals responsible for process management
- Non-technical professionals seeking to implement AI-driven workflow automation
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
