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Course Information

  • Sessions 4 days
  • Duration 30 hrs
  • Level Intermediate
  • 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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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.

Build Multi Agent Systems with ADK, Streamlit, Autogen and CrewAI

Course Code: C991

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What's This Course About

Dive into the world of Agentic Process Automation by mastering the orchestration of Large Language Models (LLMs) and building advanced AI-driven applications. This course covers the essentials of LLM AI orchestration, from running local LLMs to building and debugging LLM apps, and offers a deep dive into Retrieval-Augmented Generation (RAG) with techniques like text embedding, vector databases, and similarity searches. You'll also learn to create robust RAG systems that enhance AI capabilities.

Further, explore multi-agent AI workflows by implementing the ReAct agent framework, equipping agents with tools and skills, and setting up multi-agent systems using leading platforms like LangGraph, CrewAI, and AutoGen. Ideal for professionals looking to innovate with AI technologies and build complex automation systems.

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Building Multi-Agent AI Systems

Course Fee

$1,400.00 (GST-exclusive)
$1,526.00 (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: Introduction to Large Language Model (LLM) AI Orchestration

  • Overview of LLM AI orchestration
  • Running local LLM
  • Building an LLM app
  • Debugging LLM app

Topic 2: Retrieval-Augmented Generation (RAG)

  • Overview of Retrieval-augmented generation (RAG)
  • Text Embedding
  • Vector database
  • Similarity Search
  • Building an RAG

Topic 3: Implementing a Multi-Agent AI Workflow

  • Introduction to the ReAct agent framework
  • Implementing a ReAct agent
  • Equipping agent with tools and skills
  • Overview of multi-agent AI frameworks - LangGraph, CrewAI, AutoGen etc
  • Setting up and running your first multi agent workflow

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 Orchestration Specialist
  • Large Language Model Engineer
  • AI Application Developer
  • RAG Engineer
  • Vector Database Specialist
  • Data Engineer
  • Multi-Agent System Developer
  • ReAct Agent Implementer
  • Machine Learning Engineer
  • AI Workflow Designer
  • AI Project Manager
  • AI Systems Integrator
  • Automation Consultant
  • Data Scientist
  • Knowledge Engineer
  • AI Research Scientist
  • Digital Transformation Leader
  • AI Solutions Architect
  • AI Operations Specialist
  • Product Innovation Manager

Trainers

Trainers

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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