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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to practical automation
- Defining no-code automation and identifying suitable use cases
- An overview of Make and the concept of AI agents
Core Concepts of Make
- Understanding scenarios, modules, and triggers
- Techniques for mapping data across different applications
- Implementing filters and routers for data control
Integrating Apps and Data
- Leveraging webhooks and immediate triggers
- Interacting with APIs and HTTP modules
- Utilizing data stores for persistence
Developing Your First AI Agent
- Incorporating an LLM into a Make scenario
- Crafting prompts to ensure consistent and reliable output
- Processing and utilizing the agent’s responses
AI Agents with Data Integration
- Accessing and operating on business data
- Creating sequential steps and decision logic
- Including human-in-the-loop verification points
Comprehensive Automation
- Automating a tangible business process
- Implementing error management and retry mechanisms
- Monitoring scenario health and performing maintenance
Wrap-Up and Future Directions
- Key Deliverable: A functional automated process featuring an integrated AI agent.
Requirements
- Programming expertise is not a prerequisite
- Proficiency in navigating web applications and spreadsheets
- A foundational understanding of internal business processes
Target Audience
- Professionals in business and operations roles
- Team leaders and process owners
- Non-technical staff aiming to automate 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
