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  • AI TRAINING
    • Welcome to AI Training
    • Course: AI 101
      • Generative AI vs. Machine Learning AI
      • How Generative AI Works: The Basics Explained
      • How Generative AI will impact Business
      • The First Wave: Exploring AI-Powered Tools
      • The Second Wave: AI Enhancements in Business Apps
      • The Third Wave: AI Agents That Do the Work
      • AI Security 101: Best Practices & Pitfalls
      • Mastering AI Prompting: Unlocking AI’s Potential
    • Course: Building AI Agents
      • Lesson 1.1 – From Software to Agents
      • Lesson 1.2 – How AI Agents Work
      • Lesson 1.3 – Use Cases that Win
      • Lesson 2.1 – Define a Strategic Use Case
      • Lesson 2.2 – Set Clear Success Criteria
      • Lesson 2.3 – Requirements & Risk Planning
      • Lesson 3.1: What is 'AI-Ready' Data?
      • Lesson 3.2 – Data Transformation with raia Academy
      • Lesson 3.3 – Building and Optimizing the Vector Store
      • Lesson 4.1 – Integration Planning 101
      • Lesson 4.2 – Building Workflows for AI Agents
      • Lesson 4.3 – User Interface Selection for AI Agents
      • Lesson 5.1 – Building a Testing Strategy
      • Lesson 5.2 – Human Feedback with raia Copilot
      • Lesson 5.3 – Automated Testing with raia Academy Simulator
      • Lesson 6.1 – Designing a Beta Testing Program
      • Lesson 6.2 – Training your Team on AI
      • Lesson 6.3: Scaling Your AI Agent Program
      • Lesson 7.1 – Launching Safely and Strategically
      • Lesson 7.2 – Measuring Business Impact
      • Lesson 7.3 – Scaling Your Agent Ecosystem
      • βœ… Take the Test
    • Course: Agentic Design
      • What Makes an AI System an Agent?
      • Prompt Chaining
      • Routing
      • Parallelization
      • Reflection
      • Tools & Functions
      • Planning
      • Multi-Agent Collaboration
      • Memory Management
      • Learning and Adaptation
      • Model Context Protocol (MCP)
      • Goal Setting & Monitoring
      • Exception Handling & Recovery
      • Human-in-the-Loop (HITL)
      • Knowledge Retrieval (RAG)
      • Inter-Agent Communication (A2A)
      • Resource-Aware Optimization
      • Reasoning Techniques
      • Guardrails & Safety
      • Evaluation & Monitoring
      • Prioritization
      • Exploration & Discovery
      • Advanced Prompting Techniques
      • FAQ
      • Module 5: Evaluation & Testing
    • How to Train an AI Agent
      • Module 1: Foundations of Advanced Agent Training
        • πŸŽ₯ Module 1: Video Overview
        • Lesson 1.1 β€” The Role of Instructional Prompts in Agent Autonomy
        • Lesson 1.2 β€” Anatomy of a High-Quality Instructional Prompt
        • Lesson 1.3 β€” From Prompting to Orchestration
      • Module 2: Designing Powerful Instructional Prompts
        • πŸŽ₯ Module 2: Video Overview
        • Lesson 2.1 β€” Setting Objectives and Guardrails
        • Lesson 2.2 β€” Embedding Strategy, Not Just Instructions
        • Lesson 2.3 β€” Multi-Role & Multi-Intent Prompting
        • Lesson 2.4 β€” Persona, Voice & Consistency
        • Lesson 2.5 β€” Modular & Hierarchical Prompting
        • Lesson 2.6 β€” Testing & Iterating Instructional Prompts
      • Module 3: Preparing Data for the Vector Store
        • πŸŽ₯ Module 3 - Video Overview
        • Lesson 3.1 β€” Principles of Vectorization & Embeddings
        • Lesson 3.2 β€” Data Hygiene & Optimization
        • Lesson 3.3 β€” Chunking & Segmentation Strategies
        • Lesson 3.4 β€” Metadata as a Compass
        • Lesson 3.5 β€” Cross-Source Normalization
        • Lesson 3.6 β€” Versioning, Expiry & Embedding Refresh Cycles
        • Best Practices - Vector Store
      • Module 4: Routing & Intent Mapping
        • πŸŽ₯ Module 4 - Video Overview
        • Lesson 4.1 β€” What is Routing and Why It Matters
        • Lesson 4.2 β€” Intent Taxonomy Design
        • Lesson 4.3 β€” Mapping Intents to Data Sources
        • Lesson 4.4 β€” Conflict Resolution & Fallbacks
        • Lesson 4.5 β€” Confidence Thresholds & Escalation Logic
        • Lesson 4.6 β€” Hybrid Retrieval (Keyword + Vector)
        • Lesson 4.7 β€” Intent Drift Detection
      • Module 5: Evaluation & Testing
        • πŸŽ₯ Module 5: Video Overview
        • Lesson 5.1 β€” Creating Ground Truth QA Sets
        • Lesson 5.2 β€” Measuring Accuracy, Consistency & Confidence
        • Lesson 5.3 β€” Red Teaming & Adversarial Prompt Testing
        • Lesson 5.4 β€” Hallucination Metrics & Reduction Strategies
        • Lesson 5.5 β€” A/B Testing Instructional Prompts
      • Module 6: Scalability & Maintenance
        • πŸŽ₯ Module 6: Video Overview
        • Lesson 6.1 β€” Modular Agent Design for Scale
        • Lesson 6.2 β€” Observability & Logging Best Practices
        • Lesson 6.3 β€” Continuous Improvement Loops (Feedback β†’ Training)
        • Lesson 6.4 β€” Multi-Agent Orchestration
        • Lesson 6.5 β€” HITL (Human-in-the-Loop) Escalation Workflows
      • Module 7: Advanced Applications
        • Lesson 7.1 β€” Context Window Management & Optimization
        • Lesson 7.2 β€” Chain-of-Thought Encouragement & Reasoning Patterns
        • Lesson 7.3 β€” Security & Data Sensitivity (PII, compliance)
        • Lesson 7.4 β€” Domain-Specific Optimization
        • Lesson 7.5 β€” Integrating 3rd Party Data Sources & APIs
      • Sample Prompt - Support Agent
      • Sample Prompt - Sales Agent
      • βœ… Take the Test
  • CHANNEL TRAINING
    • raia Sales Training Program
      • The raia Sales Process
      • Discovery Mastery
      • Objection Handling
      • Solution Selling
      • Closing and Pilot Management
      • Practical Exercises and Role-Plays
      • Sales Scripts and Templates
    • raia Labs Training
      • Course Goal
      • Part 1: Prompt Engineering
        • Module 1: Introduction to Prompt Engineering
        • Module 2: The Anatomy of an Instruction
        • Module 3: AI-Assisted Instruction Writing
        • Module 4: Building Routing Sections
        • Module 5: Best Practices for Instruction Design
        • Module 6: Hands-on Lab: Building Your First Agent
        • Module 7: Advanced Instruction Techniques
        • Part 1: Quiz
      • Part 2: Agent Training
        • Module 1: Introduction to Agent Training
        • Module 2: Working with Vector Stores
        • Module 3: Document Preparation with raia Academy
        • Module 4: Best Practices for Knowledge Management
        • Module 5: Hands-on Lab: Training a Support Agent
        • Module 6: Modular Training with AI Agent Packs
        • Module 7: Continuous Improvement with Human Feedback
        • Part 2: Quiz
      • Part 3: Workflow
        • Module 1: Introduction to Workflow Automation
        • Module 2: Getting Started with n8n
        • Module 3: Hands-on Lab: Building a Lead Qualification Workflow
        • Module 4: Integrating with APIs and Webhooks
        • Module 5: Advanced Workflow Concepts
        • Part 3: Quiz
      • Best Practices
      • Conclusion
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  1. AI TRAINING
  2. How to Train an AI Agent
  3. Module 5: Evaluation & Testing

πŸŽ₯ Module 5: Video Overview

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Last updated 24 days ago

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