Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
- Evolution from algorithmic logic to automated workflows
- Definition and application of no-code automation solutions for government operations
- Survey of Make platform capabilities and integrated AI agents
Fundamentals of the Make Platform
- Core components: scenarios, modules, and trigger events
- Data mapping techniques across disparate applications
- Implementation of filters and routing logic
Integrating Applications and Data Infrastructure
- Utilization of webhooks and real-time triggers
- Interaction with external APIs via HTTP modules
- Management of centralized data stores
Development of Initial AI Agents
- Integration of Large Language Models (LLMs) into automated scenarios
- Optimization of prompts to ensure consistent and reliable outputs
- Extraction and utilization of agent responses within workflows
Integrating Agents with Data Systems
- Retrieval of enterprise data and execution of corresponding actions
- Construction of multi-step decision chains
- Implementation of human-in-the-loop verification checkpoints
End-to-End Automation Implementation
- Execution of a comprehensive business process automation
- Strategies for error handling and automated retry mechanisms
- Best practices for monitoring and maintaining scenario integrity
Summary and Future Directions
- Deliverable: deployment of an operational automated process enhanced by a connected AI agent for government use.
Requirements
Qualifications
- Previous coding experience is not a prerequisite.
- Familiarity with web-based applications and spreadsheet software.
- A fundamental grasp of internal business operations.
Intended Audience
- Administrative and operational personnel.
- Supervisory staff and designated process owners.
- Non-technical stakeholders seeking to implement AI-driven automation for government workflows.
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