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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to automation
- Defining no-code automation and its ideal use cases
- Overview of Make and AI agents
Make Fundamentals
- Understanding scenarios, modules, and triggers
- Mapping data across different applications
- Implementing filters and routers
Integrating Apps and Data
- Utilizing webhooks and instant triggers
- Working with APIs and HTTP modules
- Using data stores effectively
Creating Your First AI Agent
- Incorporating an LLM into a scenario
- Crafting prompts for reliable agent output
- Parsing and applying the agent's responses
Agents Linked to Data
- Retrieving and processing business data
- Chaining steps and decision logic
- Including human-in-the-loop checkpoints
End-to-End Automation
- Automating a real-world business process
- Managing errors and retries
- Monitoring and maintaining scenarios
Conclusion and Next Steps
- Key Deliverable: A functional automated process with an integrated AI agent.
Requirements
- No prior programming experience is necessary.
- Proficiency in using web applications and spreadsheets is expected.
- A foundational understanding of internal business processes is required.
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
