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Multi Agents System with Autogen

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.

Multi Agents System with Autogen

Course Code: C1034
  • HRDF

7 Review(s) | Add Your Review

What's This Course About

Master the art of orchestrating multiple AI agents with AutoGen in this comprehensive course designed for professionals looking to harness the power of collaborative artificial intelligence. Learn how to build intelligent AI agents using AutoGen AgentChat, implement Retrieval-Augmented Generation (RAG) to enhance agent capabilities with real-time data retrieval, and design sophisticated multi-agent workflows that automate complex tasks. This course provides hands-on experience in creating AI systems where multiple agents collaborate, communicate, and solve problems together, giving you a competitive edge in the rapidly evolving AI landscape.

Gain practical skills in building RAG-powered agents that leverage external knowledge bases for more accurate and contextually relevant responses. Explore how to architect and deploy multi-agent AI workflows using AutoGen, enabling you to automate business processes, streamline decision-making, and build scalable AI solutions. Whether you are a developer, data scientist, or AI enthusiast, this course equips you with the tools and techniques to design, implement, and manage multi-agent AI systems that drive innovation and productivity in 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

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: Introduction to AutoGen and CrewAI

  • Introduction to LLM models and AI agents
  • Create an AI agent with Autogen AgentChat

Topic 2: Retrieval-Augmented Generation (RAG)

  • Overview of Retrieval-augmented generation (RAG)
  • Building a RAG Agent

Topic 3: Implementing a Multi-Agent AI Workflow

  • Introduction to Multi Agents
  • Create Multi Agent Workflows with Autogen

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 Engineer
  • Machine Learning Engineer
  • AI Solutions Architect
  • Data Scientist
  • AI Automation Specialist
  • Natural Language Processing (NLP) Engineer
  • AI Research Scientist
  • Conversational AI Developer
  • AI Product Manager
  • Full Stack AI Developer
  • AI Operations (AIOps) Engineer
  • Intelligent Automation Consultant
  • AI Integration Specialist
  • Generative AI Developer
  • AI Workflow Designer
  • Prompt Engineer
  • AI Systems Analyst
  • Robotic Process Automation (RPA) Developer
  • AI Strategy Consultant
  • AI Technical Lead

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 (7)

Knowledgeable trainer 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 01/06/2026)
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
Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 17/02/2026)
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
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 25/11/2025)
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 19/09/2025)
Clear and easy to follow 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 08/08/2025)

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