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Course Outline
Introduction
- Transitioning from algorithmic thinking to automation
- Understanding no-code automation and its appropriate use cases
- Introduction to Make and AI agents
Make Fundamentals
- Scenarios, modules, and triggers
- Data mapping across applications
- Utilizing filters and routers
Linking Apps and Data
- Webhooks and immediate triggers
- Interacting with APIs and HTTP modules
- Managing data stores
Developing Your First AI Agent
- Incorporating an LLM into a scenario
- Prompting the agent for consistent results
- Processing and applying the agent's responses
Agents Integrated with Data
- Accessing and acting upon business data
- Sequencing steps and decision logic
- Including human-in-the-loop verification points
Comprehensive Automation
- Automating genuine business processes
- Managing errors and implementing retries
- Monitoring and maintaining scenarios
Conclusion and Future Steps
- Outcome: A functional automated process featuring an integrated AI agent.
Requirements
- No prior programming experience is necessary
- Proficiency in using web applications and spreadsheets
- Familiarity with one’s own business processes
Target Audience
- Business and operations specialists
- Team leaders and process owners
- Non-technical professionals aiming to automate workflows with AI
18 Hours
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
