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Building Multi Agent Aplications with Gemini ADK

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.

Course Brochure

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Certification

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

Building Multi Agent Aplications with Gemini ADK

Course Code: C829

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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.

Funding Options

For WSQ funding, please checkout the details at WSQ - Develop Multi AI Agent Applications with Gemini Agent ADK

Course Fee

$700.00 (GST-exclusive)
$763.00 (GST-inclusive)

Course Date

Course Time

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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: 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

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 is an experienced adult educator and corporate trainer specializing in business communication, workplace effectiveness, and professional development. With years of experience across both corporate and training environments, she has helped learners enhance their skills in problem-solving, collaboration, and interpersonal communication. Her ability to translate complex concepts into clear, practical strategies ensures that participants can immediately apply their learning in the workplace. As an ACLP-certified trainer, Siew Yee delivers WSQ courses with a strong focus on learner engagement and workplace application. She integrates case studies, role-plays, and reflective exercises into her sessions, ensuring participants develop not only knowledge but also confidence in real-world contexts. By combining her corporate experience with adult education expertise, she empowers learners to improve workplace efficiency, strengthen teamwork, and achieve personal and organizational success.
CY Quah is an ACLP-certified trainer and data science professional with extensive experience in Python, NLP, and machine learning. He has led AI training programs for SAP, Temasek Polytechnic, and IMDA under the SGUnited Mid-Career Pathways initiative, and has delivered corporate workshops on text analytics, recommender systems, and chatbot development. His expertise includes applying NLP tools such as NLTK, spaCy, and Gensim for sentiment analysis, topic modeling, and text classification.
Solomon Soh is an experienced Data Scientist and AI Trainer with a strong record of teaching and mentoring in Python programming, data analytics, and machine learning. Currently a Data Science Trainer with IBM Singapore, he has coached teams on projects involving natural language processing, computer vision, and chatbots, achieving a 96% learner satisfaction rating for his communication and technical expertise. His career spans roles at Workforce Optimizer, Certis Cisco, Ernst & Young, and IQVIA, where he applied Python-driven analytics to improve operations, optimize staffing, and deliver actionable insights. His academic background includes a double degree in Economics and Psychology from Singapore Management University (Summa Cum Laude, triple major in Analytics), an MBA, and a Master’s in Financial Engineering.
Yap Swee Leong is an ACLP-certified trainer with experience in adult education and IT-focused training. He has delivered courses across digital systems, IT fundamentals, and business technology, equipping learners with the skills to adapt to digital workplaces. With his strong foundation in instructional design and applied learning, he makes technical concepts accessible to diverse groups of learners. In his network security training, Yap focuses on building beginner-level understanding of key security principles, including password policies, secure browsing, and basic risk management. His sessions are designed to provide non-technical learners with confidence in recognizing and addressing everyday cybersecurity threats. By using practical, relatable examples, he ensures participants develop essential habits for safeguarding personal and organizational data.

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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