WSQ - Build and Deploy Agentic AI Apps with CrewAI, Autogen, ADK and Streamlit

LU1: Agentic AI App Development with Agentic AI Frameworks

• T1:Introduction to Agentic AI frameworks - CrewAI, Augtogen and OpenAI ADK
• T2 Overview of multi-agent workflows
• T3: Agentic AI workflow design
• T4: Build Agentic AI Applications with Agentic AI frameworks
• T5: Development with AI IDE - GitHub Copilot, Cursor, Trae or Windsurf

LU2: Agentic AI and RAG Deployment on Streamlit Cloud

• T1:Concepts behind context augmentation techniques, such as knowledge graphs
• T2: Approaches to deploy models for inference using cloud platforms
• T3: Identify issues in Agentic AI pipeline by analysing and interpreting error logs
• T4: Deploy RAG an Agentic AI Apps on Streamlit Cloud or Railway

LU3: Model Alignment and Guardrails

• T1:Safeguarding Large Language Models (LLMs) with guardrails for content generation
• T2:Model alignment for safety and alignment
• T3:Deploy guardrails on Agentic AI applications.

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
• Machine Learning Engineer
• AI Solutions Architect
• Data Scientist
• AI Product Manager
• Cloud AI Engineer
• AI Research Engineer
• Software Developer (AI)
• Innovation Technologist
• R&D Engineer
• AI Consultant
• LLM Application Developer
• Full Stack AI Developer
• Automation Engineer
• Technical AI Project Manager
• AI QA Engineer
• Data Engineer
• Intelligent Systems Engineer
• AI Integration Specialist
• AI Systems Analyst

Tan Woei Ming: Tan Woei Ming is a robotics and artificial intelligence educator with extensive experience in advanced automation, programming, and applied AI systems. A certified adult educator with the Advanced Certificate in Learning and Performance (ACLP), he has trained learners in robotics, control systems, and intelligent applications using ROS 2, Python, and embedded platforms. His practical expertise bridges machine intelligence and engineering, equipping learners to understand both the hardware and software layers of AI-driven systems.

He brings a hands-on, systems-thinking approach to the Agentic AI Apps curriculum, guiding participants in integrating CrewAI, Autogen, and Streamlit into functional agent pipelines. With strong roots in real-world robotic control and adaptive automation, Tan helps learners translate theoretical AI concepts into deployable, multi-agent applications that interact with physical or simulated environments.

Teh Siew Yee: Teh Siew Yee is a data science and digital transformation leader with over 25 years of global industry and teaching experience across technology, finance, and aerospace sectors. He has led enterprise-wide AI adoption initiatives, built analytics teams from the ground up, and served as Head of Data Engineering & Analytics at SIA Engineering Company and Senior Data Specialist at Standard Chartered Bank. With postgraduate training in Artificial Intelligence from Singapore Management University, his expertise spans machine learning, blockchain, and business intelligence.

In the Agentic AI Apps course, Teh Siew Yee integrates his experience in responsible AI and data strategy to teach how intelligent agents leverage analytics, automation, and orchestration frameworks like Autogen and CrewAI. His strong foundation in Python, Tableau, and cloud platforms ensures participants gain practical skills to design, monitor, and deploy agentic applications within enterprise-grade ecosystems.

Truman Ng: Truman Ng is a certified AI and network engineering professional with a multidisciplinary portfolio spanning machine learning, blockchain, cybersecurity, and automation. A graduate in Electrical and Electronic Engineering from NUS and a PMP®-certified project manager, he holds multiple credentials including Huawei HCIE®, Cisco CCNP, and Certified Bitcoin Professional (CBP). His teaching portfolio covers Python, TensorFlow, Docker, CI/CD pipelines, and RPA systems, reflecting deep competence in both software engineering and IT infrastructure.

Leveraging his cross-domain expertise, Truman connects the Agentic AI Apps curriculum to real-world deployment pipelines—from model orchestration to containerized agent systems. His sessions emphasize modular design, security, and scalability, preparing learners to deploy CrewAI- and Autogen-based applications efficiently across cloud or on-premise environments.

James Lee Kin Nam: James Lee Kin Nam is an Adobe Certified Expert / Instructor and seasoned digital design professional with over 20 years of training experience in creative technologies and web development. His background spans content creation, UX/UI design, and digital marketing, with teaching engagements at Singapore Polytechnic, ACE Training, and NTU. Proficient in HTML5, CSS3, JavaScript, and WordPress, James has led courses integrating design thinking with coding and analytics for digital innovation.

In the context of the Agentic AI Apps course, he focuses on user-centric design and front-end deployment using Streamlit. By combining creative visualization with technical implementation, James empowers learners to present AI agent outputs through intuitive dashboards and interactive web interfaces, bridging the gap between data science, automation, and user experience design.

Dr. Alfred Ang: Dr. Alfred Ang is a leading expert in AI-driven automation, agentic AI, and workforce transformation with over 20 years of experience in industry, research, and adult education. As Chief Instructional Designer, Chief Technology Officer, and Chief Information Officer of Tertiary Infotech Pte Ltd, he has developed more than 500 WSQ- and IBF-accredited courses, integrating cutting-edge technologies into practical training for enterprises and professionals. Holding a PhD from the National University of Singapore and advanced certifications including PMP®, CSM®, AWS Certified AI Practitioner, Microsoft Azure AI Engineer, and SCS Certified Senior AI Ethics Professional, Dr. Ang has deep expertise in building AI-powered applications and automation workflows. His applied projects include agentic AI-driven curriculum generation, multimodal AI platforms, and LLM-powered robotics systems, where he has successfully deployed solutions using frameworks such as Autogen, CrewAI, ADK, and Streamlit to bridge research innovation with real-world applications

Beyond technical leadership, Dr. Ang has extensive experience mentoring university and polytechnic interns, consulting on workplace learning adoption, and guiding organizations in integrating agentic AI into their business processes. His teaching emphasizes hands-on application of agentic AI development frameworks, enabling learners to design, build, and deploy AI-powered apps without requiring deep programming expertise. With his strong foundation in both curriculum design and applied AI development, Dr. Ang equips participants with the knowledge and tools to leverage CrewAI, Autogen, ADK, and Streamlit effectively—transforming ideas into scalable, real-world AI applications. His blend of academic depth, practical innovation, and pedagogical expertise makes him an ideal facilitator for the WSQ – Build and Deploy Agentic AI Apps programme