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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to automation
- Defining no-code automation and identifying appropriate use cases
- An overview of Make and AI agents
Make Fundamentals
- Scenarios, modules, and triggers
- Data mapping across applications
- FILTERS and routers
Connecting Apps and Data
- Webhooks and instant triggers
- Interacting with APIs and HTTP modules
- Utilizing data stores
Creating Your First AI Agent
- Incorporating an LLM into a scenario
- Prompt engineering for consistent agent output
- Interpreting and leveraging the agent's responses
Data-Connected Agents
- Accessing and processing business data
- Sequencing steps and decision logic
- Implementing human-in-the-loop checkpoints
End-to-End Automation
- Automating a real business process
- Managing errors and implementing retries
- Monitoring and maintaining scenarios
Summary and Next Steps
- Outcome: A functional automated process integrated with an AI agent.
Requirements
- No programming background is necessary
- Familiarity with web applications and spreadsheets
- A foundational understanding of your own business processes
Target Audience
- Business and operations specialists
- Team leads and process owners
- Non-developers looking to automate workflows using 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
