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.

Download Course Brochure

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.

Additional Information

Duration

2 months (Full Time)

Assessment

3 hours online assessment after each module

Class (No of teacher : student): 1:20

Intake

  • 3 Nov 2025 to 29 Sep 2026
  • 4 May 2026 to 26 June 2026
  • 2 Jan 2026 to 2 Mar 2026
  • 2 Mar 2026 to 27 Apr 2026

Enrolment Requirement

  • Age: 21 years old and above
  • Language Proficiency: At least C6 for GCE "O" Level English
  • Academic: At least C6 for GCE "O" Level in any 3 subjects

Graduation Requirement

  • Attendance: 75%
  • Assessment: Passed

Building Multi Agent Aplications with Gemini ADK

Course Code: C829

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

Course Fee

$276.50 (GST-exclusive)
$301.39 (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

Teh Siew Yee: Teh Siew Yee is a seasoned leader in data science and digital transformation, with over 20 years of experience driving organisational strategy, talent development, and the design of data ecosystems across Asia Pacific and global markets. He has successfully led cross-geographical teams and collaborated with industry leaders from the US, UK, China, India, Japan, South Korea, Australia, and beyond, focusing on leveraging data to achieve business objectives and optimize operations. With expertise spanning predictive modeling, machine learning, deep learning, and IoT, he has hands-on experience in data architecture, engineering, and analytics. He has also developed comprehensive training programs, equipping all levels of an organisation— from C-suite to working-level employees— with the skills needed for digital transformation. His industry experience covers sectors such as tech, education, finance, aerospace, and eCommerce, making him a sought-after expert in data-driven business strategy. Quah Chee Yong: Quah Chee Yong is a ACTA certified trainer. Quah Chee Yong Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industriesA firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners Solomon Soh Zhe Hong: Solomon is ACTA certified and has trained and coached over 100 professionals in the area of data science, python programming and coding. Solomon is a Certified AI Engineer Associate by AI Singapore and holds certifications in Alibaba Cloud Architect and Alteryx respectively. Solomon interests include Reinforcement Learning, Natural Language Processing and Time-Series analysis. Alfred Yap Swee Leong: Alfred Yap is an ACLP certified trainer with strong financial and shopper marketing domain background and extensive experience in information technology. In addition, he is both an IBM certified Cloud Computing Practitioner and an IBM Enterprise Design Thinking Practitioner.
Alfred Yap has spent decades teaching adult learners since the 90s. Kickstarting his teaching career as a trainer for Oracle University. Thereafter, he has had vast experience conducting ICT related training to various companies in the Consulting, Media, and Training industry.
Alfred Yap earned his undergraduate degree from USF, America and master degree from NTU, Singapore majoring in Knowledge Management. His current interests include Cyber Security, Cloud computing and Blockchain.

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