• Education Bureau Registration Number:575690, 597600
Course Centre Day Date Time Hours Trainer Status Enrollment
Certified Machine Learning Specialist Wanchai TUE 3 Dec 2019 7:00 – 10:00pm 18 Houston Ho Planned

Certified Machine Learning Specialist

Great Learning is the first Arcitura – Licensed Training Partner in Hong Kong

Course Duration:
18 hours, 6 sessions of 3 hours each, exam on the last session.

Course Fee:
HKD7,300

Language of Delivery: Cantonese with English terms

A Certified Machine Learning Specialist has demonstrated proficiency in machine learning methods, models and algorithms and can design scalable machine learning systems capable of solving complex business problems.

A Certified Machine Learning Specialist understands how and where machine learning and deep learning technology and techniques are best utilized to produce business value. Machine learning algorithms and system design principles are of second nature to the Certified
Machine Learning Specialist, who further possesses in-depth knowledge of deep learning techniques, as well as supervised, semisupervised and unsupervised machine learning processing models and approaches.

Attaining the Machine Learning Specialist Certification requires passing a single exam the encompasses the topics covered in Modules 1, 2 and 3. Upon achieving the accreditation, certification holders receive a formal digital certificate and an Acclaim/Credly digital badge with an account that supports the online verification of certification status.

Module 1: Fundamental Machine Learning (duration: 6 hours)

This course provides an easy-to-understand overview of machine learning for anyone interested in how it works, what it can and cannot do and how it is commonly utilized in support of business goals. The course covers common algorithm types and further explains how machine learning systems work behind the scenes. The base course materials are accompanied with an informational supplement covering a range of common algorithms and practices.

Module 2: Advanced Machine Learning (duration: 6 hours)

This course delves into the many algorithms, methods and models of contemporary machine learning practices to explore how a range of different business problems can be solved by utilizing and combining proven machine learning techniques.

Module 3: Machine Learning Lab (duration: 6 hours)

This course module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous courses. Completing this lab will help highlight areas that require further attention and will further
prove proficiency in machine learning systems and techniques, as they are applied and combined to solve real-world problems. For instructor-led delivery of this lab course, the Certified Trainer works closely with participants to ensure that all exercises are carried
out completely and accurately. Attendees can voluntarily have exercises reviewed and graded as part of the class completion. For individual completion of this course as part of a study kit, a number of supplements are provided to help participants carry out exercises with guidance.

  • Module 1
    • Machine Learning Business and Technology Drivers
    • Machine Learning Benefits and Challenges
    • Machine Learning Usage Scenarios
    • Datasets, Structured, Unstructured and Semi-Structured Data
    • Models, Algorithms, Model Training and Learning
    • How Machine Learning Works
    • Collecting and Pre-Processing Training Data
    • Algorithm and Model Selection
    • Training Models and Deploy Trained Models
    • Machine Learning Algorithms and Practices
    • Supervised Learning, Classification, Decision Tree
    • Regression, Ensemble Methods, Dimension Reduction
    • Unsupervised Learning and Clustering
    • Semi-Supervised and Reinforcement Learning
    • Machine Learning Best Practices
    • How Machine Learning Systems Work
    • Common Machine Learning Mechanisms
    • How Mechanisms Are Used in Model Training
    • Machine Learning and Deep Learning, Artificial Intelligence (AI)
  • Module 2
    • Data Exploration Patterns
    • Central Tendency Computation, Variability Computation
    • Associativity Computation, Graphical Summary Computation
    • Data Reduction Patterns
    • Feature Selection, Feature Extraction
    • Data Wrangling Patterns
    • Feature Imputation, Feature Encoding
    • Feature Discretization, Feature Standardization
    • Supervised Learning Patterns
    • Numerical Prediction, Category Prediction
    • Unsupervised Learning Patterns
    • Category Discovery, Pattern Discovery
    • Model Evaluation Patterns, Baseline Modeling
    • Training Performance Evaluation, Prediction Performance Evaluation
    • Model Optimization Patterns
    • Ensemble Learning, Frequent Model Retraining
    • Lightweight Model Implementation, Incremental Model Learning
  • Module 3
    • This course module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous courses. Completing this lab will help highlight areas that require further attention and will further
      prove proficiency in machine learning systems and techniques, as they are applied and combined to solve real-world problems.
    • For instructor-led delivery of this lab course, the Certified Trainer works closely with participants to ensure that all exercises are carried out completely and accurately. Attendees can voluntarily have exercises reviewed and graded as part of the class completion. For individual completion of this course as part of a study kit, a number of supplements are provided to help participants carry out exercises with guidance.

Any Machine Learning Specialist wants to has further understanding of how machine learning relates to and can be utilized together with data science and artificial intelligence.

Certified Machine Learning Specialist examination

Exam fee: HKD2,500

Exam Duration: 110 minutes

Exam Format:  Paper-based, 74 multiple choice questions

Passing Score: 72%

Exam Location: Great Learning Education Centre Limited

Official course booklets

  • Great Learning is the first education centre delivered Arcitura Next-Gen IT Academy training in Hong Kong.
  • We are the IT soft skill specialist, highly experienced in delivering complicated and conceptual knowledge in an effective way.