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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to practical automation
- Understanding the scope of no-code automation and optimal use cases
- An overview of Make and AI agent capabilities
Core Concepts of Make
- Exploring scenarios, modules, and triggers
- Mapping and transferring data across applications
- Implementing filters and routers
Integrating Applications and Data
- Leveraging webhooks and immediate triggers
- Interacting with APIs and HTTP modules
- Utilizing data stores for persistence
Developing Your First AI Agent
- Incorporating a Large Language Model (LLM) into a scenario
- Crafting prompts to ensure consistent agent output
- Parsing and integrating the agent's responses
AI Agents Interacting with Data
- Accessing and processing business-critical data
- Sequencing steps and decision logic
- Implementing human-in-the-loop verification points
Comprehensive Automation
- Automating a genuine business process
- Managing errors and implementing retry mechanisms
- Monitoring and maintaining active scenarios
Wrap-up and Future Pathways
- Final Output: A functional automated process featuring an integrated AI agent.
Requirements
- No prior programming background is necessary
- Familiarity with web applications and spreadsheet tools
- A foundational grasp of your organization's business workflows
Target Audience
- Professionals in business and operations
- Team leaders and stakeholders responsible for processes
- Non-technical individuals 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
