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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to automation
- Understanding no-code automation and its ideal use cases
- An overview of Make and AI agents
Make Fundamentals
- Understanding scenarios, modules, and triggers
- Mapping data across various applications
- Utilizing filters and routers
App and Data Integration
- Implementing webhooks and instant triggers
- Interacting with APIs and HTTP modules
- Leveraging data stores
Creating Your First AI Agent
- Incorporating an LLM into a scenario
- Crafting prompts to ensure reliable agent output
- Processing and utilizing the agent's responses
Agents Linked to Data
- Accessing and acting upon business data
- Sequencing steps and decision-making logic
- Including human-in-the-loop verification points
Comprehensive Automation
- Automating a genuine business process
- Managing errors and implementing retries
- Monitoring and maintaining scenarios
Wrap-up and Future Directions
- Outcome: A functional automated process featuring a connected AI agent.
Requirements
- No programming background needed
- Proficiency in using web applications and spreadsheets
- A fundamental grasp of your own business processes
Target Audience
- Business and operations professionals
- Team leaders and process owners
- Non-developers interested in automating 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