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Udemy - Agentic AI with Google ADK and MCP Servers

seeders: 10
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Added 8 months ago by freecoursewb in Other
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Udemy - Agentic AI with Google ADK and MCP Servers (Size: 3.1 GB)
  1 - ADK Agent with Google Maps MCP Server.mp4 223.2 MB
  1 - Agent Types in ADK.mp4 35.6 MB
  1 - Agentic AI Overview.mp4 38 MB
  1 - Deploy to Cloud Run.mp4 129.5 MB
  1 - Source Code.html 0 B
  1 - Tools Overview.mp4 22.9 MB
  1 - What are Callbacks.mp4 146.2 MB
  1 - What is MCP (Model Context Protocol ).mp4 176.9 MB
  2 - Agent Callback - Hands-on.mp4 93.9 MB
  2 - Create First MCP Server with VScode.mp4 152.9 MB
  2 - Deploy to Vertex AI Agent Engine.mp4 188.6 MB
  2 - Google ADK Overview.mp4 18.4 MB
  2 - How Tools works.mp4 20.5 MB
  2 - MCP Toolbox for Database.mp4 61.2 MB
  2 - Sequential Agent.mp4 106 MB
  3 - Create First ADK Agent.mp4 126.3 MB
  3 - Database MCP server with VScode.mp4 194.9 MB
  3 - MCP Server with Google Maps & Claude.mp4 80.6 MB
  3 - Model Callback Hands-on.mp4 139.2 MB
  3 - Parallel Agent.mp4 75.8 MB
  3 - Types of Tools.mp4 13.3 MB
  4 - ADK Agent with Google Search Tool.mp4 44.5 MB
  4 - Agent with BigQuery MCP Server.mp4 386.3 MB
  4 - BigQuery Agent Built-In Tool Hands-on.mp4 154.8 MB
  4 - Loop Agent.mp4 84.8 MB
  4 - Tool Callback Hands-on.mp4 209 MB
  5 - ADK Agent with Function Tool.mp4 47.3 MB
  5 - Third-party Tools -Langchain,CrewAI.mp4 97.4 MB
  6 - Authenticating and Running Agent.mp4 70.8 MB
  6 - GitHub Agent - Function Tools Hands-on.mp4 81.2 MB
  Bonus Resources.txt 102.4 B
  DS_Store 6 KB
  Get Bonus Downloads Here.url 204.8 B
  _.DS_Store 102.4 B
  _.env 204.8 B
  _.env.example 204.8 B
  ___init__.cpython-314.pyc 204.8 B
  ___init__.py 204.8 B
  ___pycache__ 204.8 B
  __init__.cpython-314.pyc 204.8 B
  __init__.py 0 B
  _adk_mcp_google_maps 204.8 B
  _agent.cpython-314.pyc 204.8 B
  _agent.py 204.8 B
  _agent_engine_deployment.sh 204.8 B
  _bigquery_mcp_server 204.8 B
  _bigquery_tool_agent 204.8 B
  _cloud_architecture_design 204.8 B
  _cloud_run_deployment.sh 204.8 B
  _content_creation_agent 204.8 B
  _crewai_tool_agent 204.8 B
  _function_tool_agent 204.8 B
  _hr_agent 204.8 B
  _job_search_agent 204.8 B
  _langchain_tool_agent 204.8 B
  _main.py 204.8 B
  _mcp_toolbox 204.8 B
  _my_first_agent 204.8 B
  _requirements.txt 204.8 B
  _steps.sh 204.8 B
  _tools.yaml 204.8 B
  agent.cpython-314.pyc 921.6 B
  agent.py 409.6 B
  agent_engine_deployment.sh 29.9 KB
  cloud_run_deployment.sh 1 KB
  env 102.4 B
  env.example 102.4 B
  main.py 1.7 KB
  requirements.txt 102.4 B
  steps.sh 512 B
  tools.yaml 1.4 KB
  ▲ 129 total files

Description


Agentic AI with Google ADK & MCP Servers

https://WebToolTip.com

Published 10/2025
Created by TechTrapture .
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 30 Lectures ( 4h 56m ) | Size: 3.14 GB

Mastering Production-Grade Agentic AI: Architect, Build, and Scale Autonomous Systems using Google ADK

What you'll learn
Design and Deploy Agentic Workflows: Successfully design, build, and deploy multi-step AI agents using the Google Agent Development Kit (ADK)
Integrate with Google Cloud Ecosystem: Seamlessly connect and utilize Google Cloud services (like Vertex AI and Cloud Functions) to enhance agent capabilities a
Master the Model Context Protocol (MCP): Implement the MCP standard to create MCP Servers that securely expose capabilities
Achieve Real-World Agent Tool Use: Develop agents that can dynamically discover and invoke external business systems, databases, and APIs

Requirements
Intermediate Python skills (including experience with relevant SDKs and data handling).
Familiarity with the Google Cloud Platform (GCP) console is highly recommended.

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