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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to automation
- Understanding no-code automation and its applicable scenarios
- An overview of Make and AI agents
Make Fundamentals
- Exploring scenarios, modules, and triggers
- Mapping data across different applications
- Implementing filters and routers
Integrating Apps and Data
- Leveraging webhooks and instant triggers
- Interacting with APIs and HTTP modules
- Utilizing data stores
Creating Your First AI Agent
- Incorporating an LLM into a scenario
- Prompting the agent to ensure consistent and reliable outputs
- Parsing and utilizing the agent's responses
Agents Integrated with Data
- Accessing and acting upon business data
- Sequencing steps and decision-making
- Including human-in-the-loop checkpoints
End-to-End Automation
- Automating a genuine business process
- Managing errors and implementing retries
- Monitoring and maintaining scenarios
Conclusion and Future Steps
- Outcome: A fully functional automated process with an integrated AI agent.
Requirements
- Programming knowledge is not necessary
- Proficiency in navigating web applications and spreadsheets
- A foundational grasp of your specific business processes
Target Audience
- Professionals in business and operations
- Team leaders and process owners
- Non-developers interested in leveraging AI for 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