• Home
  • Building Multi Agent Aplications with Gemini ADK

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, Corporate Office Suite, KL Gateway, No. 2, Jalan Kerinchi, Gerbang Kerinchi Lestari, 59200 Kuala Lumpur, Malaysia

Learning Outcomes

By the end of the course, learners will be able to:

  • LO1: Explain agentic AI concepts in Gemini ADK, including agents, tools, sessions, state and memory.
  • LO2: Build a multi-agent application with a coordinator and specialist sub-agents.
  • LO3: Build agentic RAG in Gemini ADK so agents answer from your own documents.
  • LO4: Build an agentic AI application with Gemini ADK and Streamlit.

Course Brochure

Download Course Brochure

Prerequisite

This course is for beginners. No prerequisite is required.

Certification

  • Participants who achieve at least 75% attendance will receive a Certificate of Attendance from Tertiary Courses Malaysia.

Building Multi Agent Aplications with Gemini ADK

Course Code: C829

6 Review(s) | Add Your Review

Share

What's This Course About

Building Multi Agent Aplications with Gemini ADK teaches you how to design, build and deploy multi-agent AI applications using Google's Agent Development Kit (ADK) and Gemini models. ADK is an open-source framework for creating agents that reason, use tools, retrieve knowledge and collaborate with other agents, so you can build applications that tackle complex tasks more reliably than a single chatbot. The course is designed for developers, AI engineers, data scientists and technical professionals with Python experience.

You will start with an overview of agentic AI in Gemini ADK, understanding large language models, agents, tools, sessions, state and memory, and building your first agent with Gemini. Next you will build a multi-agent app with Gemini ADK, designing a coordinator agent and specialist sub-agents, using sequential, parallel and loop workflow agents, and managing how agents share context and hand off work. You will then build agentic AI retrieval-augmented generation (RAG) in Gemini ADK, connecting agents to your own documents and data so they answer accurately.

The final topic covers building an agentic AI application with the Gemini Agent ADK and deploying it, adding tools and external APIs, evaluating agent behaviour, and deploying to Google Cloud with options such as Cloud Run and Vertex AI Agent Engine. Throughout the course you will also cover safety, guardrails and cost considerations. Every topic is hands-on. By the end, you will be able to develop, test and deploy multi-agent applications with Gemini ADK confidently.

This course is part of our AI training in Malaysia, where you can browse all our AI courses. See more Gemini training.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.
HRD Corp Claimable

🏦 HRD Corp Claimable

This course is HRD Corp claimable for eligible employers. Grant approval and reimbursement remain subject to HRD Corp requirements, the employer’s available levy and the approved grant details. How the HRD Corp process works →

Course Fee

MYR2,200.00
+ 8% SST

Course Date

Course Time

Course fees are shown before SST. An 8% SST is included in the estimated total during registration.

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: Overview of Agentic AI in Gemini ADK

Topic 2: Build A Multi Agent App with Gemini ADK

Topic 3: Build Agentic AI RAG in Gemini ADK

Topic 4: Build an Agentic AI App with Gemini Agent ADK and Streamlit

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

How to Apply HRD Corp Funding

This course is HRD Corp claimable for employers registered with HRD Corp, under the HRD Corp Claimable Courses scheme (SBL-Khas). Your company applies for the grant before the class; we submit the training provider claim after it.

  1. Check your levy balance - your company must be registered with HRD Corp and have enough levy balance to cover the course fee.
  2. Request a quotation - contact us for the quotation, course content and trainer profile; you attach these to the grant application.
  3. Apply for the grant in eTRiS before the class - log in to your employer eTRiS account, go to Application > Grant > Apply Grant, choose the scheme HRD Corp Claimable Courses (SBL-Khas), select us as the training provider and this course, add your trainees, attach the quotation, course content and trainer profile, and submit.
  4. Submit in time - for public classes, submit at least 3 calendar days before the class (15 June to 31 December 2026) and at least 14 days before from 1 January 2027; in-house classes need 14 days. The training must start within 90 days of that advance submission period.
  5. Send us the grant approval - once HRD Corp approves the application, email us the grant ID so we can confirm your seats.
  6. Attend the class - trainees sign the daily attendance (T3) form.
  7. Claim after the class - we submit the training provider claim in eTRiS with the attendance and invoice; you then complete the employer claim and sign the JD/14 form (manager level or above). Claims must be submitted within 6 months of the training.

More details: our HRD Corp Claimable Courses page and the HRD Corp employer guidelines.

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

Multi-agent architecture is where Dr. Alfred Ang's work as an Agentic AI solution architect is most visible. Dr. Ang is also a full-stack AI developer, corporate trainer and CTO of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses, and builds intelligent agents and scalable solutions end-to-end across front end, back end, databases, cloud deployment and native mobile apps. More than 300 public repositories on GitHub document that practice, and several use Google's Gemini models directly. Dr. Ang built a no-code RAG demo in which a Telegram AI agent powered by Google Gemini answers questions from PDFs uploaded through a browser, a bakery course lead-magnet site with an n8n and Gemini course chatbot, and a logo generator that produces brand options with Gemini image generation. Streamlit features prominently too: Dr. Ang created a Claude-powered courseware generation platform on Streamlit and interactive Python and Streamlit labs for data mining and machine learning. Larger systems, such as a self-hosted learning and training management system with AI agent automation and an AI-powered CMS on the Claude Agent SDK, show how agents with different responsibilities can cooperate inside one application. That cross-framework experience helps learners understand which design choices transfer from one agent toolkit to another. Having built agents with several different frameworks and models, Dr. Ang can explain the trade-offs between them candidly, including when to use retrieval, when to split a task across agents and when a single well-designed agent with good tools is the simpler answer.

Building Multi Agent Applications with Gemini ADK draws on that experience to help developers, AI engineers, data scientists and technical professionals build multi-agent systems with Google's Agent Development Kit. Dr. Ang begins with an overview of agentic AI in Gemini ADK, explaining agents, tools, sessions and orchestration, and when a team of agents outperforms a single chatbot. In the second topic, learners build a multi-agent app, defining specialised agents, giving them tools and wiring a coordinator that routes tasks and combines results. The third topic covers agentic RAG in Gemini ADK, where an agent decides when to retrieve, searches a knowledge base and grounds its answers in the retrieved content, an approach Dr. Ang has applied in several RAG chatbots. The final topic builds a complete agentic AI application with Gemini ADK and Streamlit, giving the agents a clean user interface that can be demonstrated and deployed. Along the way, Dr. Ang shares practical guidance on structuring code, debugging agent behaviour, managing prompts and keeping costs predictable. The course is hands-on, with participants coding their own applications step by step and leaving with a working multi-agent project they can extend at work. Participants also explore how to evaluate agent quality with test cases, add guardrails that keep agents within scope and prepare an application for deployment to the cloud, so that what begins as a classroom prototype can realistically grow into a reliable application used by colleagues or customers. Browse Dr. Ang's agent and Gemini projects at https://github.com/alfredang.

Review

Customer Reviews (6)

Highly recommended 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
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 25/06/2026)
Fantastic experience 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
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 01/03/2026)
Exceeded my expectations 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
Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 14/12/2025)
Very useful course 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
The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 21/08/2025)
Fantastic experience 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
The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 02/11/2024)

Items 1 to 5 of 6 total

per page
Page:
  1. 1
  2. 2

Write Your Own Review

You're reviewing: Building Multi Agent Aplications with Gemini ADK

How do you rate this product? *

  1 star 2 stars 3 stars 4 stars 5 stars
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