Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Advanced
  • 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.

Automate Business Workflows with Flowise Agentic AI

Course Code: C782

What's This Course About

Our LangChain courses offer a deep dive into the intriguing world of Large Language Models (LLMs), empowering learners to develop robust AI applications that can understand, interpret, and generate human-like text. Whether you're a seasoned AI practitioner or a newcomer to the field, our comprehensive courses are designed to equip you with the advanced skills needed to harness the full potential of LLMs.

The curriculum focuses on understanding the fundamental mechanics of LLMs, exploring their wide-ranging applications, and learning how to effectively implement them in a variety of contexts. From mastering the nuances of NLP to fine-tuning LLMs for specific tasks, learners will be exposed to a wealth of knowledge that includes both theory and practical aspects. By the end of our LangChain courses, you will be proficient in building AI applications that can meaningfully interact with LLMs, creating more value in your projects and offerings.

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Develop Large Language Model (LLM) Applications with OpenAI API and Langchain

Course Fee

$600.00 (GST-exclusive)
$654.00 (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 Overview of Large Language Model (LLM)

What is Large Language Model?

Opportunities LLM applications

Use cases of LLM applications

Topic 2 Building LLM Applications with OpenAI API

OpenAI Prompt API

Prompt Engineering and Chaining Prompts

OpenAI Function Calling API

Create a Chatbot with OpenAI API

Topic 3 LLM Application Development with LangChain

Models, Prompts and Parsers

Memory

Chains

Question and Answer

Evaluation

Agents

Topic 4  Retrieval Augmented Generation (RAG) with LangChain

Overview of RAG

Document Loading and Splitting

Text Embedding

Vector Stores

Retrieval and Questioning/Answering

Course Info

Prerequisite

This is an intermediate course. The following knowledge is assumed:

  • Basic Python

Software Requirement

Please install the following software prior to the class

1. Pycharm : Install Pycharm (https://www.jetbrains.com/pycharm/download/)

2. Please follow this guide to install Tensorflow on Mac https://www.tensorflow.org/install/install_mac

Alternatively, you can enter the following commands on your Mac terminal

pip3 install tensorflow

3 . Install Tensorflow on Window

Please follow this guide to install Tensorflow on Window https://www.tensorflow.org/install/install_windows

Tensorflow only support Python 3.5, you can install Tensorflow in Python 3.5 the following ways:

Job Roles

Job Roles

  • NLP (Natural Language Processing) Engineer
  • Machine Learning Engineer
  • AI Application Developer
  • Chatbot Developer
  • AI Research Scientist
  • AI Product Manager
  • Data Scientist specializing in text data
  • Conversational AI Designer
  • AI Integration Specialist
  • Language Model Trainer
  • Content Personalization Engineer
  • AI Platform Engineer
  • Cognitive Computing Specialist
  • AI Technical Consultant
  • AI Software Architect

Trainers

Trainers

Dr. Sudipta Samanta

Dr. Sudipta Samanta received his Ph.D. for his research in the field of computational Biophysics in 2009. He has more than 9 years research experience as a scientist. His current interests include Machine Learning, Deep Learning, Health Care Data analysis, and computer simulation. He is also the founder of "Baby Lion Organic medicinal Farm".

Teh Siew Yee

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.

Review

Customer Reviews (2)

will recommend Review by Course Participant/Trainee
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. (Posted on 11/6/2024)
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. (Posted on 4/13/2019)

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