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AWS Certified Machine Learning Engineer Associate Exam Prep

This AWS Certified Machine Learning Engineer Associate Exam Prep course equips you with the skills and knowledge required to excel in machine learning using AWS cloud services. You'll learn key concepts such as data engineering, exploratory data analysis, model training and deployment, and performance optimization on AWS. The course covers AWS tools like SageMaker, Lambda, and other critical AI and ML services to prepare you thoroughly for the certification exam.

Participants will gain hands-on experience with real-world projects that simulate practical applications of machine learning on AWS. This course is ideal for IT professionals, data scientists, and developers seeking to enhance their machine learning capabilities and advance their careers in AI and cloud computing.

Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

  • External Certification - The participant will be able to attempt the AWS Certified Machine Learning Engineer Associate exam after attending this course. Upon passing the exam, you will receive the AWS Certified Machine Learning Engineer Associate accreditation.

AWS APN Training Partner

We are AWS Authorised APN Training Partner. To get the official certification, please register on Pearson Vue Test Center

Certification Exam at Pearson Vue

Once you are prepared for the exam, you can register for the SAA-C03 AWS Certified Solutions Architect Exam here. We are Authorised Pearson Vue Testing Center. You can take the certification exam at our test center. Note that the course fee does not include the certification exam fee.

You can purchase the exam voucher (one of the lowest prices in Singapore) at AWS Associate Certification Exam Voucher.

Funding and Grant Applications

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - AWS Certified Machine Learning Engineer Associate Training

Course Code: C1330

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.

$900.00 (GST-exclusive)
$981.00 (GST-inclusive)

Course Date

Course Time

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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.

Course Cancellation/Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom

Course Details

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

  • 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

Quah Chee Yong: Quah Chee Yong is a ACTA certified trainer. Quah Chee Yong Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industriesA firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment

He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners

Agus Salim: Agus Salim is a professional with more than 10 years of experience in Project Management, IT Solutions Management, and Systems Integration both in waterfall and agile methodology. He started out his career as a Web Developer before moving on to Business Analyst/Project Manager. He has strong leadership and the capability of leading a team with a proven ability to deliver projects with tight timelines. Besides his experiences in managing projects, he has good knowledge in Cybersecurity and hands-on experience in Next Generation Firewall such as Check Point. During his free time, he likes to explore Cloud Technology, especially on Microsoft Azure. Agus has obtained AZ-104, AZ-500 and other Microsoft certifications. I am also a ALCP certified trainer.

Anil Bidari: 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 :  Peter is a ACLP certied trainer. Specialise In IT related knowlege and conduct IT Training which Include Microsoft Window Server Technology (Wintel) and Linux - Centos/Red Hat. Comptia ,ITIL , Motorola Solution Trunking System and Cisco Networking. I was worked in Motorola Solutions Conduct Motorola Astro 25 Trunking System For Police Force Malaysia (RMPnet),Taiwan Navy, Indonesia METRO POLDA (Police Force). After that Peter Join As IT Group Manager For W-Group which include 17 subsidiaries Companies in Real Estate Developer,Plantation, Building Management Services ,Contruction and also Fiber Opti Service Provider in Sabah,Malaysia.

Ben Law Beng Tjin: 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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