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Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

Build Multi-Agent AI Applications with Gemini ADK — Master Agent Orchestration, MCP & Production Deployment | Tertiary Courses Singapore

Course Code: C829

2 Review(s) | Add Your Review

What's This Course About

Master the art of building intelligent multi-agent applications with Google's Gemini ADK in this comprehensive, hands-on course. You will start by understanding single agent foundations — including agent lifecycle, model configuration, structured input/output, and session handling — before progressing to advanced topics such as function calling, tool execution, external API integration, and vector database-powered memory systems. This course equips you with the practical skills to design, build, and deploy AI agents that can reason, remember, and take action autonomously.

Take your AI development expertise to the next level by learning how to architect sophisticated multi-agent systems using supervisor, hierarchical, and pipeline patterns. You will explore agent-to-agent communication, shared memory, workflow orchestration, and the Model Context Protocol (MCP) for structured context passing and tool discovery. With dedicated modules on production-grade design — covering routing strategies, observability, security guardrails, and deployment at scale — you will graduate ready to build robust, enterprise-quality multi-agent applications powered by Gemini ADK.

WSQ Funding

Full Fee $350.00 Before GST
GST $31.50 9% of fee
Baseline Nett $206.50 SG/PR age 21+ · 50% funded
MCES / SME Nett $136.50 SG age 40+ · 70% funded
Funding and Grant Applications

For WSQ funding, please checkout the details at WSQ - Develop Artificial Intelligence and Large Language Model (LLM) Applications with Google Gemini

Course Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

Course Time

* Required Fields

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

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

Course Info

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

Job Roles

Job Roles

  • 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

Trainers

Trainers

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.

Review

Customer Reviews (2)

will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Programme is good, covers both theory and codes. Codes are useful for application. (Posted on 4/20/2020)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Add some more machine learning forecasting elements (Posted on 8/27/2019)

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