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Building Multi Agent Aplications with Gemini ADK

Course Information

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

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

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

Building Multi Agent Aplications with Gemini ADK

Course Code: C829
  • HRDF

6 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 2,200.00 Before GST
GST 198.00 9% of fee
Baseline Nett 1,298.00 SG/PR age 21+ · 50% funded
MCES / SME Nett 858.00 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

MYR2,200.00

Course Date

Course Time

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.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

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

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (6)

Learned a lot 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
Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 18/09/2024)

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