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Course Outline
Introduction
- Transitioning from algorithmic thinking to automation.
- Understanding no-code automation and its ideal use cases.
- Overview of Make and AI agents.
Core Concepts of Make
- Scenarios, modules, and triggers.
- Data mapping between applications.
- Utilizing filters and routers.
Integrating Apps and Data
- Webhooks and instant triggers.
- Interfacing with APIs and HTTP modules.
- Leveraging data stores.
Creating Your First AI Agent
- Incorporating an LLM into a scenario.
- Prompting the agent for consistent output.
- Processing and utilizing the agent's responses.
Agents Interfacing with Data
- Accessing and acting upon business data.
- Sequencing steps and decisions.
- Implementing human-in-the-loop checkpoints.
Complete Automation
- Automating a real business process.
- Managing error handling and retries.
- Monitoring and maintaining scenarios.
Conclusion and Future Steps
- Outcome: A functional automated process with an integrated AI agent.
Requirements
- No prior programming experience is necessary.
- Proficiency with web applications and spreadsheets is expected.
- A foundational understanding of your own business processes is required.
Target Audience
- Business and operations specialists.
- Team leaders and process owners.
- Non-technical professionals aiming to leverage AI for workflow automation.
18 Hours
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