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CompTIA DataAI Training

Course Information

  • Sessions 5 days
  • Duration 37.5 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

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

CompTIA DataAI Training

Course Code: C476
  • HRDF

7 Review(s) | Add Your Review

What's This Course About

CompTIA DataAI (formerly DataX) is an expert-level certification that validates the advanced data science and artificial intelligence skills needed to build, deploy and operate real-world data and AI solutions. It is designed for highly experienced professionals with around five or more years in data science or a similar role, covering the full workflow from mathematics and statistics through modeling, machine learning, deep learning and machine learning operations (MLOps).

This course prepares experienced practitioners for the CompTIA DataAI exam, strengthening skills in exploratory data analysis, statistical methods, model development and evaluation, machine learning and deep learning implementation, data science operations and processes, and specialized applications such as natural language processing and computer vision. To get certified, register for your CompTIA DataAI exam at a Pearson VUE test center.

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 →

Course Fee

MYR7,000.00

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.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my 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

This course prepares you for the CompTIA DataAI certification exam, covering all official exam domains and their weightings:

Domain 1 Mathematics and statistics (17%)

  • Apply probability, descriptive and inferential statistics to data problems
  • Perform hypothesis testing, experimental design and significance analysis
  • Use linear algebra and calculus concepts that underpin data science and machine learning

Domain 2 Modeling, analysis, and outcomes (24%)

  • Perform exploratory data analysis, data cleaning, and feature engineering and selection
  • Build, tune and validate models, and interpret and communicate outcomes to stakeholders
  • Evaluate model performance and select appropriate metrics for the business problem

Domain 3 Machine learning (24%)

  • Implement supervised, unsupervised and ensemble machine learning techniques
  • Apply deep learning and neural network concepts
  • Address overfitting, bias, regularization and model generalization

Domain 4 Operations and processes (22%)

  • Apply the data science lifecycle and MLOps practices for deployment and monitoring
  • Manage data pipelines, versioning, reproducibility and model retraining
  • Address governance, security, ethics and responsible AI in data science operations

Domain 5 Specialized applications of data science (13%)

  • Apply natural language processing and text analytics
  • Apply computer vision and image analysis techniques
  • Apply data science to specialized and industry-specific use cases

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

  • IT Support Engineer
  • Endpoint Security Administrator
  • IT Operations Analyst
  • Infrastructure Engineer
  • Systems Engineer
  • Desktop Support Technician
  • Network Engineer
  • IT Service Manager
  • IT Project Coordinator
  • Helpdesk Manager
  • IT Operations Manager
  • IT Business Analyst
  • Technical Support Specialist
  • IT Change Manager
  • IT Compliance Analyst

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (7)

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
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 24/09/2025)
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
Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 26/03/2024)

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