Course Information

  • Sessions 3 days
  • Duration 22.5 hrs
  • Level Intermediate
  • Assessment NA

Venue

Download Course Brochure

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 Certified Machine Learning Engineer Associate Training

Course Code: C1330

What's This Course About

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.

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

WSQ Funding

Full Fee ₵4,000.00 Before GST
GST ₵360.00 9% of fee
Baseline Nett ₵2,360.00 SG/PR age 21+ · 50% funded
MCES / SME Nett ₵1,560.00 SG age 40+ · 70% funded

Course Fee

₵4,000.00

Course Date

Course Time

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to info@tertiarycourses.com.gh and we will forward your queries to the subject matter experts and get back to you as soon as possible.

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. The minimum class size to start a class is 3 Pax.

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

is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies

Review

Customer Reviews (9)

Clear and easy to follow Review by Course Participant/Trainee
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
Very informative and interactive. The small class size meant we got a lot of personal attention. (Posted on 4/24/2026)
Excellent course Review by Course Participant/Trainee
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
Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 2/23/2026)
Well structured course Review by Course Participant/Trainee
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
The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 1/4/2026)
Very informative Review by Course Participant/Trainee
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
The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 9/27/2025)
Very informative Review by Course Participant/Trainee
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
Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 5/28/2025)

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