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

Course Information

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

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

Course Code: C991
  • HRDF

6 Review(s) | Add Your Review

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.

WSQ Funding

Full Fee 4,400.00 Before GST
GST 396.00 9% of fee
Baseline Nett 2,596.00 SG/PR age 21+ · 50% funded
MCES / SME Nett 1,716.00 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 - Building Multi-Agent AI Systems

Course Fee

MYR4,400.00

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 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

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)

Very satisfied 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
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 10/12/2024)

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