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Retrieval-Augmented Generation (RAG) with LlamaIndex

Retrieval-Augmented Generation (RAG) with LlamaIndex

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Unlock the potential of Retrieval-Augmented Generation (RAG) systems with LlamaIndex, a leading framework for managing data and optimizing AI-driven queries. This comprehensive course covers the fundamental concepts of LlamaIndex, including data loading, indexing, and efficient querying using large language models (LLMs). You will gain practical knowledge on organizing LlamaIndex and effectively storing and retrieving data to support advanced AI operations.

Dive deeper into the intricacies of RAG systems, exploring key components like the ingestion and query pipelines. Learn the art of prompt engineering, crucial for tailoring AI interactions, and prepare data efficiently to enhance system performance. The course concludes with an in-depth examination of RAG evaluation, where you’ll master evaluation metrics and learn to create robust evaluation sets to ensure the effectiveness of your AI systems.

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: C427

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)

Mode of Training

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

Course Date * Course Date

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Self-Sponsored
Employer-Sponsored

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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. Fundamental Concepts in LlamaIndex

How LlamaIndex is organized
Using LLMs
Loading data
Indexing
Storing and retrieving
Querying
Agents

Topic 2. Introduction to RAG

Components of a RAG system
Ingestion pipeline
Query pipeline
Prompt engineering for RAG
Data preparation for RAG

Topic 3. RAG Evaluation

Introduction to RAG evaluation
Evaluation metrics
How to create an evaluation set

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:

R https://cran.r-project.org/
R Studio https://www.rstudio.com/products/rstudio/download/

Hardware: Window or Mac Laptops

Job Roles

AI Data Engineer
Machine Learning Engineer
AI Research Scientist
Data Scientist
AI Solutions Architect
Information Retrieval Specialist
NLP Engineer
AI Product Manager
Technical Lead (AI/ML)
Data Engineer
Software Developer (AI/ML)
R&D Engineer (AI/ML)
Data Analyst
AI Systems Analyst
AI Operations Specialist
Machine Learning Consultant
AI Quality Assurance Specialist
AI Training Specialist
AI Model Developer
Technical Consultant (AI)

Trainers

Dr. Alvin Ang: Dr. Alvin Ang is a ACTA certified trainer. Dr. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally.

Dwight Nuwan Fonseka: Dwight Nuwan Fonseka is a ACLP certified trainer. He have a degree in Biotechnology from NUS, Advanced diploma in Pharmaceutical management from MDIS and Masters in Education from NTU. He have 8 years experience of teaching biology at O and A levels/ IB level in international schools in Singapore and overseas.

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

Course material print is too small; should print 2 slides on 1 page instead

Trainer is very helpful and accommodating in providing inputs to student's case studies. (Posted on 12/1/2017)

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

Nil (Posted on 3/10/2017)

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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