Google ADK Course (Agent Development Kit)

SKU: 3810
12 Lesson
|
30 Hours
Google Agent Development Kit (ADK) Training is designed to help you learn build, deploy and manage AI agents powered by Google's latest generative AI technologies. This Google ADK course covers agent architecture, multi-agent systems, tool integration, workflow automation, memory management, and deployment using Google Cloud and Gemini models. Through hands-on projects, you will gain practical skills to create intelligent AI agents for business automation, customer support, data processing, and enterprise applications.
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Google ADK Course Agent Development Kit

Overview

Google ADK (Agent Development Kit) is an open-source framework developed by Google for building, testing and deploying intelligent AI agents and multi-agent systems. This Google ADK training course takes you from foundational agent concepts to production-level deployment on Google Cloud. You will work hands-on with Python, Gemini models, MCP (Model Context Protocol), custom tools, session memory, and multi-agent orchestration.

Prerequisites

  • Basic Python programming (Python 3.10+) is required as Google ADK primarily runs on Python
  • Familiarity with APIs and web applications
  • Basic knowledge of artificial intelligence and machine learning concepts
  • Understanding of JSON data structures
  • Working experience with cloud platforms is beneficial but not required

What Will You Learn?

  • Understand agentic AI concepts and architectures
  • Build AI agents using Google ADK
  • Integrate Gemini models into applications
  • Design multi-agent systems
  • Implement tool calling and workflow automation
  • Manage agent memory and context
  • Deploy agents on Google Cloud
  • Monitor and optimize agent performance
  • Develop enterprise-grade AI solutions

Key Features

Course Curriculum

1. Understanding AI Agents and Agentic Systems
2. Evolution of Agent-Based Applications
3. Google Agent Development Kit (ADK) Overview
4. ADK Architecture and Core Components
5. ADK vs Traditional AI Applications
6. Setting Up the Development Environment
7. Installing and Configuring Google ADK
1. Creating Your First AI Agent
2. Understanding Agent Lifecycle
3. Working with Gemini Models
4. Agent Instructions and Prompt Design
5. Agent Configuration and Parameters
6. Running and Testing Agents
7. ADK Project Structure
1. Agent Fundamentals
2. LLM Agents and Reasoning
3. Agent Response Generation
4. Structured Outputs
5. Input and Output Processing
6. Agent Customization Techniques
7. Best Practices for Agent Design
1. Introduction to ADK Tools
2. Built-in Google Tools
3. Function Tools
4. Custom Tool Development
5. Tool Registration and Configuration
6. External API Integration
7. Database Connectivity
8. Error Handling and Tool Validation
1. Understanding Agent State Management
2. Session Management Concepts
3. Session Lifecycle
4. Managing User Context
5. State Variables and Context Storage
6. Session Services
7. In-Memory Sessions
8. Database-Based Sessions
9. Long-Term Memory Concepts
10. Persistent Memory Implementation
11. Persistent Memory Implementation
12. Context Retention Strategies
1. Workflow Fundamentals
2. Sequential Workflows
3. Parallel Workflows
4. Conditional Routing
5. Task Planning and Execution
6. Conditional Routing
7. Task Planning and Execution
8. Dynamic Agent Coordination
9. Workflow Optimization Techniques
10. Business Process Automation Patterns
1. Introduction to Multi-Agent Architectures
2. Parent and Child Agents
3. Agent Delegation Patterns
4. Specialized Agent Design
5. Agent Collaboration Strategies
6. Hierarchical Agent Structures
7. Agent Communication Mechanisms
8. Building Scalable Multi-Agent Applications
1. RAG Fundamentals
2. Knowledge Retrieval Concepts
3. Enterprise Knowledge Integration
4. Document Processing Workflows
5. Search and Retrieval Techniques
6. Context Injection Strategies
7. Building Knowledge-Based Agents
8. Optimizing Retrieval Performance
1. Agent Skills and Reusability
2. Callback Functions
3. Event Handling
4. Execution Frameworks
5. Agent Runtime Concepts
6. OpenAPI Integration
7. MCP Tool Integration
8. Long-Running Operations
9. Advanced Prompt Engineering for Agents
1. Agent Evaluation Frameworks
2. Testing Agent Behavior
3. Performance Measurement
4. Debugging Workflows
5. Tracing and Monitoring
6. Agent Observability
7. Error Analysis and Troubleshooting
8. Reliability Best Practices
1. Responsible AI Principles
2. Agent Security Fundamentals
3. Access Control and Authentication
4. Data Privacy Considerations
5. Prompt Injection Risks
6. Secure Tool Usage
7. Compliance and Governance
8. Enterprise Deployment Best Practices
1. Production Deployment Strategies
2. Containerizing AI Agents
3. Cloud Run Deployment
4. Google Cloud Integration
5. Agent Runtime Services
6. Scaling Agent Applications
7. Monitoring and Logging
8. Managing Production Workloads
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Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 02 Jul 2026
  • Weekday Batch 06 Jul 2026
  • Weekend Batch 04 Jul 2026

1 ON 1 Training

US $ 899.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 02 Jul 2026
  • Weekday Batch 06 Jul 2026
  • Weekend Batch 04 Jul 2026

Corporate Training

Corporate Training
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  • Industry Experienced Trainers
  • 24x7 Support
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Google ADK Certification

Upon successful completion of this Google ADK Training course, participants will receive an igmGuru Course Completion Certificate validating their skills in AI agent development, multi-agent systems, workflow orchestration, tool integration, memory management, and Google ADK implementation.

Google ADK Certification

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