25-Day-Agents-Course-by-Google and 5-Day-AI-Agents-Intensive-Course-with-Google

These are complementary educational resources where the 5-day intensive course provides a faster, concentrated alternative to the 25-day comprehensive course, allowing learners to choose based on their time availability and depth preferences.

Maintenance 6/25
Adoption 10/25
Maturity 5/25
Community 22/25
Maintenance 6/25
Adoption 9/25
Maturity 5/25
Community 21/25
Stars: 206
Forks: 63
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 110
Forks: 34
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No License No Package No Dependents
No License No Package No Dependents

About 25-Day-Agents-Course-by-Google

anxiong2025/25-Day-Agents-Course-by-Google

谷歌推出25天AI Agents课程,作为 2025 年最昂贵圣诞节礼物!

Covers progressive agent development patterns from YAML configuration through multimodal streaming, context caching, and Agent-to-Agent (A2A) communication using Gemini 3 and Google's Agent Development Kit. Architecture progresses from single-agent basics to complex deployments including LangGraph integration, durable agents via Restate, and enterprise security features. Includes 25 self-contained daily exercises with executable Python examples targeting Google Cloud's Agent Engine for production deployment.

About 5-Day-AI-Agents-Intensive-Course-with-Google

anxiong2025/5-Day-AI-Agents-Intensive-Course-with-Google

谷歌5天AI Agents强化课程

Covers practical AI agent development using Google's Gemini API and Agent Development Kit, with hands-on notebooks demonstrating agent architectures, multi-agent patterns (sequential/parallel/dynamic), tool integration via Model Context Protocol (MCP), and session/memory management. Emphasizes production readiness through observability, evaluation frameworks, LLM-as-a-Judge validation, and deployment to Google Cloud's Vertex AI Agent Engine using the Agent-to-Agent (A2A) communication protocol.

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