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Develop LLM Applications with LangChain

Develop LLM Applications with LangChain

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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.

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

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

Course Code: C782

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.

$600.00 (GST-exclusive)

$654.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time * Course Time: No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

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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.

Course Cancellation/Reschedule Policy

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
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

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:

Install Anaconda for Windows https://www.anaconda.com/download/#windows
Create a new Conda environment in Pycharm for Python 3.5

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

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.

Customer Reviews (2)

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 11/7/2024)

Might 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 4/13/2019)

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$981.00 (GST-inclusive)

About Us

Tertiary Courses, founded in 2014, specializes in providing modular, skill-based courses tailored to Industry 4.0. We are WSQ Approved Training Organization (ATO), and IBF Approved ATO.. We are also Authorized Microsoft Learning Partner, Autodesk Authorized Training Center (ATC), Pearson Vue Authorized Test Center and Kryterion Authorized Testing Center. We offer a comprehensive range of training, certification prep and certification exam services. Additionally, we are a registered supplier with Singapore GeBiz, further solidifying our position as a trusted educational institution in the region.

Training Grants and Subsidies

We have various grants and subsidies for different courses. Please check the respective funding available on individual course page.

WSQ: Company and Singaporeans/PR can apply WSQ 70-90% funding depending on eligibility
SkillsFuture Enterprise Credit (SFEC) - Eligible Singapore-registered companies can tap on $10000 SFEC to cover up to 90% of out-of-pocket expense
SkillsFuture Credit: All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses.
IBF-STS Companies and Singaporeans/PR can apply IBF-STS 70-90% funding depending on eligibility
UTAP: NTUC members enjoy 50% subsidy for unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP
SGTech STAR Fund: SGTECH members enjoy $500 grant per pax for SGTech STAR courses