Syllabus
This course covers the following topics:
- AI Foundations
- What AI Really Does
- From Model to Agent – Decision Flow
- Tokens, Temperature and Context Windows
- Prompt Structure (Roles, Constraints, Style)
- Recognizing Hallucinations and Bias
- Responsible AI Use – Ethics, Privacy and Limits
- Exercise – Rewrite a Prompt to Improve Clarity and Fact Accuracy
- Quiz 1 – Prompt Basics and Model Behavior
- Your First Agent in n8n
- What an Agent Node Does
- Configure AI Connection and API Keys
- Build a Simple Q&A Flow
- Add Context and Variables to Prompts
- Format Responses (Text, JSON, HTML)
- Handle Errors and Timeouts in Executions
- Debug and Validate Outputs
- Exercise – Personal Assistant Agent
- Quiz 2 – Workflow Structure and Context Passing
- Prompt Mastery and Evaluation
- Compare Model Families (Open-Source vs Private) and Capabilities
- Model Parameters – Temperature, Top-p, Max Tokens, Frequency Penalty
- Advanced Prompt Templates for Logic and Generation
- Manage Context Reuse and Short-Term Memory
- Evaluate AI Results (Accuracy, Relevance, Coherence, Tone)
- Iterate Prompts – Adjust System/User Roles and Parameters
- Log Prompt Versions and Compare Scores (A/B Testing)
- Exercise – Email Summarizer Agent with Evaluation Loop
- Quiz 3 – Model Comparison and Prompt Iteration
- RAG Agents with Your Data
- What RAG Means and When to Use It
- Introduction to Embeddings and Vector Meaning
- Create a Vector Index and Query It
- Query and Rank Results by Similarity
- Combine Retrieval and Generation (Pipeline)
- Cache and Reuse Context for Performance and Cost Control
- Validate Responses – Relevance and Grounding Accuracy
- Exercise – Chat with My Files Workflow
- Quiz 4 – Retrieval Logic and Similarity Validation
- Tool Integration for Agents
- Understanding Tool-Calling Agents
- Register and Expose Custom Functions or APIs
- Secure External Interactions and Credential Storage
- Validate and Log Tool Results
- Create Decision Nodes Based on Tool Output
- Exercise – Engineering Assistant Agent
- Quiz 5 – Tool Mapping and Error Handling
- Advanced Agent Workflows
- Multi-Agent Patterns (Planner, Worker, Judge)
- Human-in-the-Loop Validation and Approval Flows
- Automatic Scoring and Feedback Loops
- Retry, Fallback, and Timeout Strategies
- Versioning Agents and Comparing Performance Over Time
- Metrics – Accuracy, Latency, Cost Efficiency
- Exercise – Customer Support Triager Workflow
- Quiz 6 – Architecture and Metrics
- Observability and Monitoring
- Define Key Metrics (Response Time, Token Use, Error Ratio)
- Build Monitoring Dashboards Inside n8n
- Configure Alerts via Email or Chat
- Store and Compare Execution Logs
- Detect Performance Drift and Trigger Prompt Re-Evaluation
- Apply Auto-Reports and Self-Healing Patterns
- Exercise – Automated Agent Health Report
- Quiz 7 – Metric Interpretation and Alerts
- Applied Projects
- AI Email Responder
- Data Analyst Agent (Sheets or Database Queries)
- Social Content Generator
- Document Parser (Receipts or Invoices)
- ERP Process Automation
- Multi-Agent Coordinator Flow
- Capstone Project – End-to-End Business Automation
- Quiz 8 – Integration and Optimization