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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.
- Overview of Make and AI agents.
Make Fundamentals
- Exploring scenarios, modules, and triggers.
- Data mapping across different applications.
- Implementation of filters and routers.
Integrating Apps and Data
- Utilizing webhooks and instant triggers.
- Interacting with APIs and HTTP modules.
- Implementing data stores.
Developing Your First AI Agent
- Incorporating an LLM into a scenario.
- Crafting prompts for reliable agent output.
- Parsing and leveraging agent responses.
Data-Driven Agents
- Retrieving and acting upon business data.
- Chaining steps and decision-making processes.
- Establishing human-in-the-loop checkpoints.
End-to-End Automation
- Automating real-world business processes.
- Managing error handling and retries.
- Monitoring and maintaining scenarios.
Summary and Future Directions
- Key Deliverable: A functional automated process integrated with a connected AI agent.
Requirements
- No prior programming experience is necessary.
- Proficiency in using web applications and spreadsheets.
- Familiarity with your own business processes.
Target Audience
- Business and operations professionals.
- Team leads 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
