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Duration 18 hours
Course Outline
Introduction
- Translating algorithmic thinking into automation
- Understanding the scope of no-code automation and its appropriate use cases
- An introduction to the Make platform and AI agents
Make Fundamentals
- Understanding scenarios, modules, and triggers
- Mapping data transfers between applications
- Implementing filters and routers
Integrating Apps and Data
- Utilizing webhooks and instant triggers
- Interacting with APIs and HTTP modules
- Leveraging data stores
Creating Your First AI Agent
- Incorporating an LLM into a scenario
- Crafting prompts to ensure consistent agent output
- Interpreting and utilizing the agent's responses
Data-Driven Agents
- Fetching and processing business data
- Sequencing steps and decision logic
- Implementing human-in-the-loop validation points
Complete Workflow Automation
- Automating a tangible business process
- Managing errors and configuring retries
- Monitoring and maintaining scenario health
Recap and Future Directions
- Key Outcome: A functional automated process integrated with an AI agent.
Requirements
- No prior programming knowledge is necessary
- Proficiency in using web-based applications and spreadsheet tools
- A foundational grasp of your own organizational workflows
Target Audience
- Professionals in business and operations
- Team leads and process owners
- Non-technical individuals aiming 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
