Course Details
Topic 1 Introduction to Agentic AI and Langflow
- Overview of Agentic AI and LLM
- Use Cases of Agentic AI and LLM
- Build and Deploy Your Non Code LLM Powered Chatbot
- Installation of Langflow
- Explore Langflow Interface
- Build and Deploy a Simple Agentic AI Flow with Langflow
Topic 2 Build a RAG with Langflow
- Overview of Tokenization, Embedding and Vector Store
- Introduction to Retrieval Augmented Generation (RAG)
- Chucking Strategies
- Best Practices of Using RAG
- Build a RAG workflow with Langflow
Topic 3 Build an AI Agent with Langflow
- Overview of AI agent fundamentals - tools, memories and LLM
- Reasoning framework for AI agents
- Build a sequential task multi agent workflow on Langflow
- Build a travel planning agent workflow on Langflow
Topic 4 Build a Streamlit AI Chabot App
- Streamlit fundamentals
- Create a LLM chatbot with Streamlit
- Create and deploy a text classifier with Streamlit
Topic 5 Model Context Protocol (MCP)
- Overview of Model Context Protocol MCP
- Create MCP Client and Server with Langflow
- Deploy a Langflow MCP server
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:
TBD
Hardware: Window or Mac Laptops
Job Roles
- AI Workflow Developer
- AI Solutions Engineer
- Conversational AI Designer
- LLM Application Developer
- Chatbot Developer
- AI Product Manager
- Data Scientist (LLM Applications)
- Machine Learning Engineer
- AI Research Assistant
- RAG Engineer
- NLP Engineer
- AI Automation Specialist
- Technical Innovation Lead
- Digital Transformation Consultant
- Software Developer (AI Tools)
- Customer Experience Technologist
- Streamlit App Developer
- AI Solutions Consultant
- Agentic Systems Engineer
- AI Project Coordinator
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 (3)
- might recommend Review by Course Participant/Trainee
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/ (Posted on 1/26/2024)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 - Interesting course in this GPT era. Review by Course Participant/Trainee
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So far so good, the pace is match with my learning. (Posted on 12/1/2023)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 - will recommend Review by Course Participant/Trainee
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Already good (Posted on 12/1/2023)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








