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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to automation
- Understanding the role and applicability of no-code automation
- Introduction to Make and AI agents
Core Concepts of Make
- Understanding scenarios, modules, and triggers
- Data mapping techniques between applications
- Implementing filters and routers
Integrating Applications and Data
- Leveraging webhooks and immediate triggers
- Utilizing APIs and HTTP modules
- Managing data using data stores
Creating Your First AI Agent
- Incorporating an LLM into a scenario
- Crafting prompts for consistent agent output
- Processing and utilizing agent responses
Agents Integrated with Data
- Accessing and processing business data
- Sequencing steps and logic decisions
- Implementing human-in-the-loop validation points
Comprehensive Automation
- Automating a practical business process
- Managing errors and retry mechanisms
- Overseeing and maintaining scenarios
Conclusion and Future Steps
- Outcome: A functional automated process featuring an integrated AI agent.
Requirements
- No coding background necessary
- Proficiency in using web applications and spreadsheets
- Familiarity with core business processes
Target Audience
- Professionals in business and operations
- 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