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Course Details
Course Details
What You'll Learn
Topic 1: Data Preparation for Machine Learning (ML)
- Ingest and store data.
- Transform data and perform feature engineering.
- Ensure data integrity and prepare data for modeling.
Topic 2: ML Model Development
- Choose a modeling approach.
- Train and refine models.
- Analyze model performance.
Topic 3: Deployment and Orchestration of ML Workflows
- Select deployment infrastructure based on existing architecture and requirements.
- Create and script infrastructure based on existing architecture and requirements.
- Use automated orchestration tools to set up continuous integration and continuous delivery (CI/CD) pipelines.
Topic 4: ML Solution Monitoring, Maintenance, and Security
- Monitor model inference.
- Monitor and optimize infrastructure and costs.
- Secure AWS resources.
Practice Exam
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
Job Roles
- Machine Learning Engineer
- AI Solutions Architect
- Data Scientist
- Cloud AI Engineer
- AWS Machine Learning Specialist
- Deep Learning Engineer
- Data Analyst (Machine Learning Focus)
- AI Research Scientist
- Computer Vision Engineer
- Natural Language Processing Engineer
- AWS Data Engineer
- ML Operations Engineer
- Predictive Analytics Consultant
- Cloud Solutions Architect (ML Focus)
- Robotics Process Automation Engineer
- Model Deployment Engineer
- AI Product Manager
- Data Engineer (AI/ML Focus)
- Cloud Developer (Machine Learning)
- Technical Consultant (AI and ML)
Trainers
Trainers
CY Quah is an ACLP-certified trainer and data science professional with extensive experience in Python, NLP, and machine learning. He has led AI training programs for SAP, Temasek Polytechnic, and IMDA under the SGUnited Mid-Career Pathways initiative, and has delivered corporate workshops on text analytics, recommender systems, and chatbot development. His expertise includes applying NLP tools such as NLTK, spaCy, and Gensim for sentiment analysis, topic modeling, and text classification.
Agus Salim is an experienced IT solutions and cybersecurity professional with a strong foundation in cloud infrastructure and project management. With over a decade of experience in systems integration, software development, and IT security across both enterprise and consulting environments, he brings a practical understanding of secure system design and deployment. His credentials include PMP, CompTIA Security+, CEH, and AWS Certified Cloud Practitioner, reflecting his balanced expertise in governance, risk management, and cloud operations. Agus has worked with leading organizations such as Citi and Check Point Software Technologies, providing hands-on technical and security support across multi-cloud platforms.
Anil is a ACLP certified trainer. He is an Enterprise Cloud and DevOps Consultant , responsible for helping clients to move Virtual data centre to Private Cloud based on OpenStack and Public Cloud ( AWS, Azure and Google cloud) . Consulting and training experience on Devops tool chain like github , Jenkins, Sonarqube, Docker & kubernetes, Cloud foundry, Openshift, Ansible and SaltStack. Lot of my Role is involved design and implementation of a solution and training
Peter Cheong is an IT and knowledge management professional with strong expertise in networking, cybersecurity, and information systems. He has completed the Cisco Networking Academy Introduction to Packet Tracer course
and has participated in international ICT and knowledge management conferences such as the IFLA Knowledge Management Satellite Meeting. With professional experience in IT systems and infrastructure, Peter brings both technical knowledge and global exposure to his training.
As an adult educator, Peter focuses on building learners’ foundational skills in cybersecurity, network defense, and risk management aligned to CompTIA Security+ objectives. His sessions emphasize real-world security scenarios, equipping participants to recognize vulnerabilities, manage threats, and implement effective security controls. His combination of practical training and industry exposure ensures learners are well-prepared for both the certification exam and workplace application.
Ben is an experienced IT Infrastructure professional with more than 20 years of working experience in IT sector. Due to Corporate Digital Transformation and COVID-19 during early 2020 he shifted his focus to Cloud Computing specialized in Cloud Infrastructure Solutioning. He is an AWS Certified Solution Architect Associate, Google Certified Cloud Engineer, Microsoft Certified Azure Fundamentals and Alibaba Cloud Associate.
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