Course curriculum

    1. Segment 01: Course Introduction

    2. Segment 02: Introduction to Context Engineering

    3. Segment 03: Understanding AI Agents Context Flow

    4. Segment 04: Building Your First Agent in Flowise

    5. Segment 05: The Context Window Challenge

    6. Segment 06: Debugging Context Flow with LangSmith

    7. Segment 07: Managing Context with Token Analysis - Part 1

    8. Segment 08: Managing Context with Token Analysis - Part 2

    9. Segment 09: Hands-on Demo - Context-Aware Agent Development

    1. Segment 10: Query Augmentation Retrieval Fundamentals

    2. Segment 11: Query Transformation and Multi-Query Strategies

    3. Segment 12: Implementing Multi-Query Retrieval in Flowise - Part 1

    4. Segment 13: Implementing Multi-Query Retrieval in Flowise- Part 2

    5. Segment 14: Chunking Strategies and Semantic Visualization

    6. Segment 15: Building RAG with Metadata Filtering

    7. Segment 16: Reranking for Precision Retrieval

    8. Segment 17: Advanced Retrieval Techniques

    9. Segment 18: Hands-on Demo - Optimized RAG Pipeline

    1. Segment 19: Introduction to AI Frameworks Landscape

    2. Segment 20: Agentic AI Frameworks Deep Dive

    3. Segment 21: Hyperscaler AI Services

    4. Segment 22: Framework Selection Decision Matrix

    5. Segment 23: Multi-Agent Design Patterns Overview

    6. Segment 24: Research-Summarization-Decision Pattern

    7. Segment 25: Advanced Multi-Agent Patterns

    8. Segment 26: Hands-on Demo - Multi-Agent System Design

    1. Segment 27: Introduction to Ethical AI in Context Engineering

    2. Segment 28: AI Ethics Framework and Guidelines

    3. Segment 29: Context Vulnerabilities and Attack Vectors

    4. Segment 30: Implementing AI Guardrails

    5. Segment 31: Context Failure Detection and Mitigation

    6. Segment 32: Building Safe RAG Systems

    7. Segment 33: Secure Context Engineering

    8. Segment 34: Course Outro

About this course

  • Free
  • 34 lessons
  • 5 hours of video content

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