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    name: "Google Reichman AI Tech School"
    title: "AI Native Developer Syllabus - Google Reichman AI Tech School"
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      note: "*Changes may apply"
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      - label: "ENG"
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  content:
    - section:
        title: "AI Native Developer Syllabus"
        description: "*Changes may apply"
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    - section:
        title: "Module 1: LLM Fundamentals & Internal Mechanics"
        description: "Go beyond the chat interface and understand the engineering behind the models."
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              - title: "LLMs Behind the Scenes"
                description: "Understanding token generation, model weights, and prediction mechanics."
              - title: "The Model Landscape"
                description: "A comparative look at Claude, GPT, and Gemini (Opus vs. Sonnet, Pro, mini)."
              - title: "Core Concepts"
                description: "Aligning industry terminology – Tokens, Context Windows, and Hallucination management."
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    - section:
        title: "Module 2: AI-Driven Development & Modern Tooling"
        description: "Master the tools that are redefining the developer’s workflow."
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              - title: "Next-Gen Coding Environment"
                description: "Hands-on with Cursor, Claude Code, and Antigravity."
              - title: "Professional Prompt Engineering"
                description: "Moving from basic prompts to Few-shot approaches and system-level instructions."
              - title: "Practical Workshop"
                description: "Real-world feature building, debugging, and refactoring with AI assistance."
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        title: "Module 3: Context Engineering & RAG Systems"
        description: "Learn how to ground AI in private data for accurate, domain-specific results."
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              - title: "RAG Architecture"
                description: "Mastering the flow of Retrieval, Embedding, and Augmentation."
              - title: "Vector Infrastructure"
                description: "Implementing a robust RAG system based on PGvector."
              - title: "Reliability & Performance"
                description: "Managing isolated response verification and strict output formats (JSON/YAML)."
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    - section:
        title: "Module 4: The MCP Revolution (Model Context Protocol)"
        description: "Master the cutting-edge protocol used to connect LLMs to any data source or action."
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              - title: "MCP Infrastructure"
                description: "Understanding the Client-Server communication via JSON RPC 2.0."
              - title: "Tool Discovery"
                description: "Building and deploying custom MCP servers for automated tool discovery."
              - title: "Advanced Skills"
                description: "Transitioning from basic APIs to dynamic LLM-driven interactions."
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    - section:
        title: "Module 5: Designing & Building Autonomous Agents"
        description: "The capstone of the course: building systems that can think, plan, and act."
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              - title: "The Agentic Loop"
                description: "Designing autonomous workflows using the LLM-Memory-Tools triad."
              - title: "Design Considerations"
                description: "Choosing between stateless vs. stateful tools and agents vs. structured workflows."
              - title: "Capstone Workshop"
                description: "Developing specialized agents for Financial Advising, Log Triage, or Scheduling."
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          - label: "Chip Design and Verification"
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