Develop Large Language Models (LLM) Applications with Flowise AI

Topic 1 Overview of Large Language Model (LLM) 

• What is Large Language Model (LLM)? 
• Compare of OpenAI and LLaMA models 
• Opportunities LLM applications 
• Industrial use cases of LLM applications 

Topic 2 Build a LLM Chatbot with Flowise AI

• Overview of Flowise AI? 
• Create the first Chatflow (
• Combing multiple chains (prompt chaining) 
• Output Parser 
• Build a LLM chatbot with Flowise AI 

Topic 3 Build a LLM Retrieval Augmented Generation (RAG) Application with Flowise AI

• Overview of LLM driven RAG technology 
• File loader and text splitters 
• Text embedding vector stores 
• Create a RAG application

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

• AI Application Developer
• No-Code Developer
• AI Project Manager
• Data Analyst
• Machine Learning Engineer
• Business Intelligence Analyst
• AI Strategy Consultant
• Digital Transformation Specialist
• Customer Experience Analyst
• Research Scientist in AI
• Innovation Manager
• Technology Entrepreneur
• Educational Technologist
• AI Product Manager
• User Experience Designer
• AI Solutions Architect
• Process Automation Expert
• AI Implementation Specialist
• Data Science Educator
• AI Research and Development Engineer

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.

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.