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.

Course Brochure

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 Authorised Delivery Partner

We are an Authorised CompTIA Delivery Partner. To get the official CompTIA certification, please register your certification exam at a Pearson VUE test center.

CompTIA DataAI Training

Course Code: C476
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What's This Course About

CompTIA DataAI Training prepares you for CompTIA DataAI (formerly CompTIA DataX), the 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 experienced data scientists, machine learning engineers, analysts and technical professionals who want to demonstrate mastery across the full data science lifecycle with a vendor-neutral credential.

The course follows the official exam domains. You will start with mathematics and statistics, including probability, distributions, hypothesis testing, linear algebra and calculus concepts that underpin modern models. Next you will cover modelling, analysis and outcomes, such as exploratory data analysis, feature engineering, model selection, evaluation metrics and communicating results to stakeholders. You will then study machine learning in depth, including supervised and unsupervised learning, ensemble methods, deep learning and generative AI concepts.

The course continues with operations and processes, covering data pipelines, MLOps, deployment, monitoring, model drift and governance, and closes with specialised applications of data science, such as natural language processing, computer vision, time series and optimisation. Each domain combines concept reviews, worked scenarios and exam-style practice questions. By the end, you will have consolidated your advanced data and AI expertise and be well prepared to pass the CompTIA DataAI certification exam.

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

MYR1,800.00

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

Topic 1: Mathematics and statistics

Topic 2: Modeling, analysis, and outcomes

Topic 3: Machine learning

Topic 4: Operations and processes

Topic 5: Specialized applications of data science

Course Info

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)

Great learning experience 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 25/05/2026)
Worth every cent 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 27/02/2026)
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
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 22/01/2026)
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
Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 17/12/2025)
Highly recommended 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 12/10/2025)

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