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Develop Multi-Agent Systems with OpenAI Agent SDK

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.

Develop Multi-Agent Systems with OpenAI Agent SDK

Course Code: C765
  • HRDF

6 Review(s) | Add Your Review

What's This Course About

Gain the skills to design, build, and deploy sophisticated multi-agent AI systems using the OpenAI Agent Development Kit. This hands-on course takes you from foundational AI agent concepts through advanced orchestration techniques, equipping you with the expertise to create intelligent agents that collaborate, reason, and solve complex tasks autonomously. You will learn to build RAG agents powered by word embeddings and vector databases, orchestrate multiple agents using sequential and parallel workflows, and implement handoff and routing strategies for seamless agent collaboration.

Take your AI capabilities further by mastering the Model Context Protocol (MCP) for creating custom tools and leveraging agents as tools within larger systems. The course culminates with practical training on fine-tuning large language models, giving you the ability to customize AI behaviour for domain-specific applications. Whether you are an AI developer, solutions architect, or technology leader, this course delivers the practical knowledge you need to harness the full potential of multi-agent AI systems and drive innovation within your organisation.

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

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Develop Generative AI Solutions with Azure OpenAI Service

Course Fee

$488.40

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 Introduction to OpenAI Agent Development Kit

What are AI Agents

Applications and use cases of AI Agents

Create an AI Agent with OpenAI Agent Development Kit (ADK)

Topic 2 Building RAG Agent

Introduction to Retrival Augmented Generation (RAG)

Word Embedding and Vector Databases

Create a RAG Agent

Topic 3 Orchestrating Multiple Agents

Introduction to Multiple Agents Orchestration

Sequential and Parallel Workflow

Handoff and Routing

Topic 4 Model context protocol (MCP)

Creating Custom Tools

Agent as Tools

Introduction to Model context protocol (MCP)

Topic 5 Fine Tuning LLM Models

Why fine tuning LLM models

Training and evaluation of fine-tuned LLM models

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

  • NLP (Natural Language Processing) Engineer
  • Machine Learning Engineer
  • AI Application Developer
  • Chatbot Developer
  • AI Research Scientist
  • AI Product Manager
  • Data Scientist specializing in text data
  • Conversational AI Designer
  • AI Integration Specialist
  • Language Model Trainer
  • Content Personalization Engineer
  • AI Platform Engineer
  • Cognitive Computing Specialist
  • AI Technical Consultant
  • AI Software Architect

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)

Would attend again 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 engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 27/05/2026)
Worth every cent 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 10/02/2026)
Practical and relevant 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 15/01/2026)
Superb training 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 19/06/2025)
Hands-on and practical 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 02/02/2025)

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