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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to automation
- Defining no-code automation and identifying appropriate use cases
- Overview of Make and AI agents
Core Make Concepts
- Understanding scenarios, modules, and triggers
- Data mapping across different applications
- Implementing filters and routers
Integrating Apps and Data
- Utilizing webhooks and immediate triggers
- Interacting with APIs and HTTP modules
- Leveraging data stores
Creating Your First AI Agent
- Incorporating an LLM into a scenario
- Engineering prompts for consistent agent output
- Parsing and utilizing the agent’s responses
Data-Connected Agents
- Accessing and processing business data
- Sequencing steps and decision logic
- Including human-in-the-loop validation checkpoints
End-to-End Automation
- Automating genuine business processes
- Managing errors and implementing retry mechanisms
- Monitoring and maintaining automated scenarios
Wrap-Up and Future Steps
- Key Deliverable: A functional automated process integrated with an AI agent.
Requirements
- No programming background is necessary
- Proficiency in using web applications and spreadsheets
- A foundational understanding of your specific business processes
Target Audience
- Business and operations specialists
- Team leaders and process owners
- Non-developers seeking 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
