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Develop Large Language Models (LLM) Applications with No Code Using Flowise AI

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.

Certification

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

Orchestrate Multi AI Agents with Autogen

Course Code: C1034

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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.

Funding Options

No funding is available for this course

Course Fee

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

Course Date

Course Time

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Additional Note

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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: 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

Teh Siew Yee: Teh Siew Yee is a seasoned leader in data science and digital transformation, with over 20 years of experience driving organisational strategy, talent development, and the design of data ecosystems across Asia Pacific and global markets. He has successfully led cross-geographical teams and collaborated with industry leaders from the US, UK, China, India, Japan, South Korea, Australia, and beyond, focusing on leveraging data to achieve business objectives and optimize operations.

With expertise spanning predictive modeling, machine learning, deep learning, and IoT, he has hands-on experience in data architecture, engineering, and analytics. He has also developed comprehensive training programs, equipping all levels of an organisation— from C-suite to working-level employees— with the skills needed for digital transformation. His industry experience covers sectors such as tech, education, finance, aerospace, and eCommerce, making him a sought-after expert in data-driven business strategy.

Solomon Soh Zhe Hong: Solomon is ACTA certified and has trained and coached over 100 professionals in the area of data science, python programming and coding. Solomon is a Certified AI Engineer Associate by AI Singapore and holds certifications in Alibaba Cloud Architect and Alteryx respectively. Solomon interests include Reinforcement Learning, Natural Language Processing and Time-Series analysis.

Alfred Yap Swee Leong: Alfred Yap is an ACLP certified trainer with strong financial and shopper marketing domain background and extensive experience in information technology. In addition, he is both an IBM certified Cloud Computing Practitioner and an IBM Enterprise Design Thinking Practitioner.
Alfred Yap has spent decades teaching adult learners since the 90s. Kickstarting his teaching career as a trainer for Oracle University. Thereafter, he has had vast experience conducting ICT related training to various companies in the Consulting, Media, and Training industry.
Alfred Yap earned his undergraduate degree from USF, America and master degree from NTU, Singapore majoring in Knowledge Management. His current interests include Cyber Security, Cloud computing and Blockchain.

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