Udemy - Mastering Basics of Google's ADK Framework

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Udemy - Mastering Basics of Google's ADK Framework (Size: 1.9 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Your First Agent
  1. Running Agent with ADK web.mp4 81.8 MB
  2 - Tools
  3 - Structured Output
  4 - Multi Agent Workflows
  10. Sequential Workflows.mp4 22.7 MB
  11. Parallel Workflows.mp4 93.3 MB
  12. Loop Workflows.mp4 68 MB
  5 - Building Agents using AgentConfig [ No code ]
  13. Basic Agents In built & Custom Tools.mp4 52.3 MB
  13. Basic Agents In built & Custom Tools_Resource_root agent yaml.yaml 204.8 B
  14. Multi agents [ Sub Agents & Workflows].mp4 101.7 MB
  multi_agent_config
  6 - Human in the Loop Pattern
  15. Introduction & boolean confirmation (Tool).mp4 106.1 MB
  16. Advanced confirmation (Tool).mp4 117.6 MB
  7 - Artifacts Handling Large Files
  17. Overview.mp4 78.4 MB
  18. Access Artifacts using ADK Web.mp4 160.3 MB
  8 - Callbacks
  19. Overview & before_agent_callback.mp4 169.2 MB
  20. Implementing after_agent_callback.mp4 200.1 MB
  21. Implementing before_tool_callback.mp4 74.8 MB
  capital_agent.yaml 307.2 B
  population_agent.yaml 409.6 B
  root_agent.yaml 614.4 B
  9. Introduction.mp4 9.6 MB
  8. Output Schema & Output Key.mp4 94.2 MB
  4. Custom Tools & Agent as Tools.mp4 55.7 MB
  5. Parallel Tool Calls.mp4 38.9 MB
  6. MCP Tools Custom Server.mp4 137.5 MB
  7. MCP Tools Remote Server.mp4 79.7 MB
  2. Running Agent without ADK web.mp4 82.3 MB
  3. Running Agent with 3rd Party Models [ Open Source OpenAI etc ].mp4 104.3 MB

Description


Mastering Basics of Google's ADK Framework

https://WebToolTip.com

Published 1/2026
Created by Praveen Singh
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 21 Lectures ( 2h 47m ) | Size: 1.88 GB

Learn ADK Fundamentals to Build Agents using Python

What you'll learn
Master the fundamentals of Google's ADK Framework and create your first AI agent from scratch
Build and integrate custom tools and utilize MCP tools including local and remote servers
Design multi-agent workflows with sequential, parallel, and loop patterns for complex automation
Implement advanced features including structured outputs, human-in-the-loop patterns, and agent callbacks

Requirements
Basic Python programming knowledge and familiarity with AI/LLM concepts (beneficial but not mandatory)

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