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

Develop Large Language Models (LLM) Applications with Flowise AI

Embrace the future of AI with our course on 'Developing Large Language Models (LLM) Applications with No Code Using Flowise AI'. This comprehensive training is designed to equip you with the skills to utilize Flowise AI, a cutting-edge no-code platform, for developing sophisticated LLM applications. The course highlights include an introduction to Large Language Models, understanding the no-code environment of Flowise AI, and hands-on projects to build real-world applications. You'll learn how to harness the power of LLMs for various applications, from natural language processing to data analysis, without needing to write a single line of code.

Our expert instructors will guide you through every step, ensuring you gain a deep understanding of LLM technology and its practical applications. By the end of this course, you'll be proficient in using Flowise AI to create efficient and powerful AI-driven solutions. Whether you're a business professional, a budding entrepreneur, or simply an AI enthusiast, this course will open doors to innovative AI applications in a no-code environment, positioning you at the forefront of AI technology.

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: C1034

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 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

Course Info

Nil

Job Roles

  • 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

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.

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