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Orchestrate Multi AI Agents with Autogen

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.

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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.

Orchestrate Multi AI Agents with Autogen

Course Code: C1034

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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.

No funding is available for this course

Course Fee

₹44,100.00 (GST-exclusive)

₹48,069.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time * Course Time

9:30am - 5:30pm

No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

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.

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

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

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

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.

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.