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AWS Certified Machine Learning Specialty Training

Course Information

  • Sessions 5 days
  • Duration 37.5 hrs
  • Level Advanced
  • 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 Specialty exam after attending this course. Upon passing the exam, you will receive the AWS Certified Machine Learning Specialty accreditation. This certification validates that the individual possesses the skills and knowledge necessary to design and deploy scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. It demonstrates proficiency in various aspects of AWS architecture, including designing and deploying applications on AWS, selecting appropriate AWS services based on requirements, designing highly available and scalable systems, and implementing cost-effective solutions.

AWS Certified Machine Learning Specialty Training

Course Code: C279

5 Review(s) | Add Your Review

What's This Course About

AWS Certified Machine Learning Specialty MLS-C01 Exam Prep is designed to equip you with the necessary skills and knowledge to pass the MLS-C01 exam confidently. This course covers key topics such as data engineering, exploratory data analysis, modeling, machine learning implementation, and operations. Our expert instructors provide in-depth instruction and practical insights, ensuring you grasp complex concepts and apply them effectively.

With a focus on real-world applications, our course includes hands-on labs, practice exams, and interactive learning modules. You will learn to use AWS machine learning services, such as SageMaker, to build, train, and deploy models. By the end of the course, you will be well-prepared to tackle the MLS-C01 exam and advance your career in the field of machine learning.

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 ₵7,000.00 Before GST
GST ₵630.00 9% of fee
Baseline Nett ₵4,130.00 SG/PR age 21+ · 50% funded
MCES / SME Nett ₵2,730.00 SG age 40+ · 70% funded

Course Fee

₵7,000.00

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

1. Introduction to Machine Learning on AWS

Overview of Machine Learning (ML)

Introduction to AWS Machine Learning Services

Exam Structure and Preparation Tips

2. Data Engineering

Data Collection and Integration

Data Cleaning and Preparation

Data Storage Solutions on AWS (S3, RDS, Redshift)

Data Pipeline Design using AWS Glue and AWS Data Pipeline

3. Exploratory Data Analysis (EDA)

Data Visualization Techniques

Statistical Analysis and Summarization

Feature Engineering and Selection

Tools for EDA (AWS QuickSight, Jupyter Notebooks)

4. Modeling

Supervised Learning Algorithms (Regression, Classification)

Unsupervised Learning Algorithms (Clustering, Dimensionality Reduction)

Deep Learning (Neural Networks, CNNs, RNNs)

Model Evaluation and Validation Techniques

5. Machine Learning Implementation and Operations

Model Deployment using AWS SageMaker

Automating Model Training and Deployment with SageMaker Pipelines

Real-Time Inference and Batch Inference

Monitoring and Troubleshooting Models in Production

6. Security and Monitoring

Security Best Practices for Machine Learning

Data Privacy and Protection

Monitoring and Logging Machine Learning Workflows

Auditing and Compliance

7. Specialized Topics

Natural Language Processing (NLP) with AWS Comprehend

Computer Vision with AWS Rekognition

Anomaly Detection using AWS SageMaker

Recommendation Systems

8. Case Studies and Practical Applications

Case Studies on AWS Machine Learning Implementations

Hands-on Labs and Projects

Best Practices for Industrial Applications

9. Exam Preparation

Practice Questions and Mock Exams

Time Management Strategies

Review of Key Concepts and Common Pitfalls

Q&A and Discussion Sessions

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:

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Machine Learning Engineer
  • Data Scientist
  • AI/ML Specialist
  • Cloud Solutions Architect
  • Data Engineer
  • AWS Solutions Architect
  • Research Scientist
  • AI Developer
  • Big Data Engineer
  • Analytics Engineer
  • Cloud Engineer
  • DevOps Engineer
  • Data Analyst
  • Software Engineer
  • Business Intelligence Developer
  • IT Consultant
  • System Architect
  • Application Developer
  • Technical Consultant
  • Product Manager in AI/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 (5)

Practical and relevant 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 trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 3/11/2026)
Very satisfied 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 engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 2/11/2026)
Knowledgeable trainer 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
Solid content and a supportive trainer. I would definitely sign up for more courses here. (Posted on 1/4/2026)
Good course materials 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
I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 10/5/2025)
Exceeded my expectations 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
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 3/9/2025)

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