Building Multi Agent Aplications with Gemini ADK

Topic 1: Single Agent Foundations

• Overview of Gemini ADK architecture
• Agent lifecycle (User → Model → Tools → Memory → Response)
• Model configuration and system instructions
• Structured input and JSON output
• Stateless vs stateful agents
• Session handling basics
• Building a single agent application

Topic 2: Tools, Memory and Sessions

• Function calling and tool execution flow
• External API integration
• Custom tools (calculator, retrieval, database)
• Tool chaining and error handling
• Short-term memory (conversation history)
• Long-term memory concepts
• Vector database integration
• Session management and user tracking

Topic 3: Multi-Agent Architecture

• Why multi-agent systems
• Agent specialization and separation of concerns
• Supervisor, hierarchical and pipeline patterns
• Agent-to-agent communication
• Shared memory across agents
• Workflow orchestration and delegation
• Building a multi-agent application

Topic 4: MCP and Production Design

• Model Context Protocol (MCP) fundamentals
• Context envelope and capability declaration
• Tool registry and discovery
• Structured context passing between agents
• Routing strategies (rule-based vs LLM-based)
• Observability and tracing
• Security and guardrails
• Deployment and scaling considerations

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

• Positive Learning Attitude
• Enthusiastic Learner

Experience

• Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

• AI Solutions Architect
• Machine Learning Engineer
• Multi-Agent Systems Developer
• AI Platform Engineer
• Conversational AI Developer
• LLM Application Developer
• AI Integration Specialist
• Agentic AI Engineer
• AI Product Manager
• Natural Language Processing Engineer
• AI Automation Engineer
• Cloud AI Engineer
• AI DevOps Engineer
• Intelligent Systems Designer
• AI Research Engineer
• Full Stack AI Developer
• AI Infrastructure Engineer
• Chatbot and Virtual Agent Developer
• AI Technical Consultant
• Enterprise AI Developer

Dr. Alvin Ang: Dr. Alvin Ang is a ACTA certified trainer. Dr. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally.

Dwight Nuwan Fonseka: Dwight Nuwan Fonseka is a ACLP certified trainer. He have a degree in Biotechnology from NUS, Advanced diploma in Pharmaceutical management from MDIS and Masters in Education from NTU. He have 8 years experience of teaching biology at O and A levels/ IB level in international schools in Singapore and overseas.