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Enhance Your Employability with Certified Skills and Courses in Singapore - WSQ , IBF-STS, Skills Certification

Build a LLM AI Agent with Semantic Kernel

Embark on a transformative journey into the realm of artificial intelligence with our LLM AI Agent with Semantic Kernel course. This comprehensive program is designed to equip you with the skills and knowledge needed to build sophisticated AI agents using semantic kernel technologies. Throughout the course, you will learn the fundamentals of Large Language Models (LLMs), including their design, development, and application in various industries. We delve into the intricacies of semantic kernels, exploring how they enhance the understanding and processing capabilities of AI agents. By combining theoretical knowledge with practical exercises, you will gain hands-on experience in creating AI agents that can interpret and analyze human language with remarkable accuracy and efficiency.

In the second part of the course, participants will be guided through advanced techniques in AI development, focusing on the integration of semantic kernels with LLMs to achieve superior performance. You will explore case studies and real-world applications, understanding the challenges and solutions in deploying AI agents across different sectors. This course is a must-attend for aspiring AI professionals who wish to specialize in the cutting-edge field of semantic technologies and LLM AI agents. By the end of this program, you will possess the expertise to contribute to the advancement of AI technologies, opening doors to numerous opportunities in the tech industry.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course

Course Code: C209

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$300.00 (GST-exclusive)
$327.00 (GST-inclusive)

Course Date

* Required Fields

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 and get back to you asap.

Course 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.
Note the minimal class size to start a class is 3 Pax.


Course Details

Topic 1 Prompt Engineering

  • Understanding prompts
  • Authoring your first prompt
  • Templatizing prompts
  • Calling nested functions in prompts
  • Configuring prompts
  • Saving your prompts as files
  • Prompt template syntax

Topic 2 Creating AI Agent

  • Creating your first agent
  • Initialize the kernel
  • Understanding the kernel
  • Give your agent skills with plugins
  • Adding AI services to the kernel
  • Understanding plugins
  • Native functions
  • OpenAI plugins
  • Out-of-the-box plugins
  • Improve automation with planners
  • Understanding planners
  • Evaluate the prompt flow

Topic 3 Giving Your AI memories

  • Understanding planners
  • Overview
  • Understanding embeddings
  • Store context in vector databases

Topic 4 Building a Chat Copilot

  • About Chat Copilot
  • Running Chat Copilot locally
  • Customizing Chat Copilot
  • Test plugins with Chat Copilot
  • Deploying Chat Copilot
  • Publish changes to Azure

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 Research Scientist
  • Machine Learning Engineer
  • Natural Language Processing Engineer
  • AI Solutions Architect
  • Semantic Technologies Specialist
  • Data Scientist
  • AI Application Developer
  • AI Strategy Consultant
  • Cognitive Systems Engineer
  • AI Product Manager
  • Semantic Kernel Developer
  • Language Model Analyst
  • AI Software Engineer
  • AI System Designer
  • AI Innovation Manager
  • Computational Linguist
  • Deep Learning Engineer
  • AI Technical Lead
  • Knowledge Engineer
  • AI Project Coordinator

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.

Ferris Kwok: Ferris Kwok is a ACTA certified trainer. He specializes in designing and building Electronic prototypes. He also conducts experiential workshops for the public and in schools on Electronics, Coding, Arduino / Microcontroller prototyping, Robotics and Multi-rotor aircrafts (Drones). He is a practitioner who preaches what he teach; linking concepts taught to systems that he designed and built for commercial clients and installed in places such as Singapore Airport and Science Centre Singapore. He is also a loyal advocate of Maker Faire and had supported the local edition organized by Science Centre Singapore (from 2012) via a Maker booth throughout all 8 editions. Together with a collaborator providing event and training services, he have exhibited at Maker Faire Bay Area (USA) and Maker Faire Shenzhen (China).

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.

Customer Reviews (6)

will recommend 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
Good enough for this jQuery Essential Training. Good job ! (Posted on 6/3/2021)
will recommend 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
Exercises and hands on notes (Posted on 11/23/2020)
will recommend 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
Nothing much, the trainer is very very nice :)))) (Posted on 11/6/2020)
Will Recommend 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
. (Posted on 6/6/2019)
Will Recommend 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
Its the best already:D but i would recommend the course to give more detailed slides (Posted on 12/10/2018)
Will Recommend 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
. (Posted on 8/18/2018)

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