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Duration 18 hours
Course Outline
Introduction
- The transition from algorithmic thinking to practical automation
- Defining no-code automation and identifying appropriate use cases
- An overview of Make and the role of AI agents
Core Concepts of Make
- Understanding scenarios, modules, and triggers
- Data mapping across different applications
- Implementing filters and routers
Integrating Apps and Data
- Utilizing webhooks and real-time triggers
- Interacting with APIs and HTTP modules
- Leveraging data stores for storage and retrieval
Creating Your First AI Agent
- Incorporating an LLM into a scenario
- Crafting prompts to ensure reliable agent output
- Processing and utilizing the agent's responses
Data-Driven Agents
- Fetching and executing actions on business data
- Sequencing steps and decision logic
- Including human-in-the-loop verification points
Complete Automation Solutions
- Automating a real-world business process
- Managing errors and implementing retry mechanisms
- Monitoring and maintaining active scenarios
Recap and Future Directions
- Outcome: A functional automated process featuring an integrated AI agent.
Requirements
- No prior programming knowledge is necessary.
- Confidence in navigating web applications and spreadsheets.
- A foundational grasp of your specific business processes.
Target Audience
- Professionals in business and operations.
- Team leads and individuals responsible for process ownership.
- Non-technical professionals seeking to leverage AI for workflow automation.
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
