Course Outline
Day 1: Workflow Design and AI Integration
Introduction
- Determining appropriate use cases for automation, AI steps, and autonomous agents
- n8n operational contexts: cloud versus self-hosted environments, and the implications for organizational data governance
n8n Core Fundamentals
- Workflows, nodes, triggers, and execution cycles
- Inter-node data transmission via visual field mapping, eliminating manual syntax entry
- Analyzing execution logs to identify and resolve operational issues
Application and Data Integration
- Implementation of webhooks and form-based triggers
- Integration of spreadsheet, email, and calendar modules
- Management of credentials and authentication protocols for external services
- Step-by-step configuration of the HTTP Request node
AI Step Configuration
- Incorporating language models into workflow architectures
- Constructing prompts to ensure consistent and accurate outputs
- Enforcing structured output formats and implementing automatic correction for malformed responses
- Classifying and extracting key information from emails, forms, and documents
Decision Logic and Action Execution
- Implementing conditional branching using If and Switch logic
- Establishing approval workflows to ensure human review before action execution
- Recording outcomes in spreadsheets and dispatching relevant notifications
Practical Exercise: Initial End-to-End Workflow
- Constructing a process that transitions from incoming requests to classified, recorded, and routed outcomes
Day 2: Autonomous Agents and Operational Management
Agent Architecture
- Defining agent components: model, memory, and tool integration
- Evaluating fixed workflows versus autonomous agents for specific tasks
- Granting agents secure access to organizational documents and data repositories
Agent Capabilities and Control
- Distinguishing between read-only and write-capable tools
- Defining system prompt constraints: mandatory fields, prevention of data hallucination, and record integrity
- Conducting stress testing to verify agent resilience
Communication Channels
- Deploying internal chat interfaces for user interaction
- Integrating agents with designated messaging platforms
Reliability and Stability
- Configuring error handling workflows, retry mechanisms, and alert systems
- Monitoring through logs and execution history analysis
- Managing and optimizing model usage and execution costs
Data Security and Privacy Compliance
- Auditing data transmission to external models
- Demonstration of self-hosting and local model deployment for enhanced control
- Establishing a compliance checklist for review by IT and legal teams
Workflow Development with AI Assistance
- Utilizing AI assistants to draft initial workflow structures
- Critical review of AI-generated logic: node functionality, data provenance, and empty state handling
Final Project and Strategic Next Steps
- Participants will finalize and present a workflow incorporating AI steps and agents applied to their own processes
- Developing a maintenance plan and identifying future automation opportunities
Deliverable: A functional workflow featuring AI steps, agents connected to organizational data, error handling, and a comprehensive review checklist.
Requirements
- No prior programming experience is required
- Proficiency in using web applications and spreadsheet software
- Identification of one repetitive process within the participant’s own role
Target Audience
- Professionals in business operations, management, and customer-facing roles
- Team leaders and process owners
- Non-technical staff seeking to develop automations and AI agents utilizing organizational data for government and public sector functions
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
