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Duration 18 hours
Course Outline
Introduction
- Transitioning from algorithmic thinking to automation
- Understanding the scope of no-code automation and its ideal use cases
- An overview of Make and AI agents
Core Make Concepts
- Exploring scenarios, modules, and triggers
- Data mapping strategies between applications
- Implementing filters and routers
Application and Data Integration
- Leveraging webhooks and instant triggers
- Interacting with APIs and HTTP modules
- Utilizing data stores
Creating Your First AI Agent
- Incorporating an LLM into a scenario
- Crafting prompts for consistent agent output
- Interpreting and leveraging agent responses
Agents Integrated with Data
- Accessing and processing business data
- Chaining logic steps and decision points
- Incorporating human-in-the-loop validation checkpoints
Full-Cycle Automation
- Automating a genuine business process
- Managing errors and configuring retries
- Monitoring and maintaining active scenarios
Conclusion and Future Steps
- Key Deliverable: A fully functional automated process equipped with a connected AI agent.
Requirements
- No prior programming experience is necessary.
- Familiarity with navigating web applications and spreadsheets.
- A foundational grasp of existing business processes.
Target Audience
- Business and operations specialists.
- Team leads and process owners.
- Non-technical professionals aiming 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
