Mode of Delivery: Online ‘Live’. Instructor-Led.
Course Fee is after *90% International Funding
About International Funding
- 90% International Funding is only available for selected region.
- 90% International Funding is a location-based funding supported by CASUGOL.
- Percentage of funding varies from country to country as part of our commitment to localize the fees to make our programs accessible to everyone.
- Participants from Malaysia may be eligible for HRDF Funding.
For more information on International Funding, contact us at +65 6100 1503 or Email: firstname.lastname@example.org
Corporate-Sponsored or Batch Registration contact us at +65 6100 1503 or Email: email@example.com
Select Your Preferred Batch Below:
Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination
Who Should Attend: Data Analyst, Finance Analyst, HR Analyst, System Analyst, CIO, or Anyone who are interested in pursuing a career in the areas of Artificial Intelligence / Machine Learning.
Acquire advanced knowledge on how to use Python to apply powerful Artificial Intelligence / Machine Learning techniques to gain real-world insight.
Learn how to use Python for Data Mining, Data Engineering, and apply Machine Learning algorithms to Analyze and Predict with Structured and Unstructured Data
It is preferred that participants successfully completed and pass Data Analytics Essentials (DAE) or Python Programming Essentials (PPE)
Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Machine Learning and Python Programming based on the syllabus covered
For more information: Certified Machine Learning Expert (CMLE) Course Outline
Full-Time, Part-Time, Evening, Weekend
20 to 24 Sep, 18 to 22 Oct, 15 to 19 Nov, 20 to 24 Dec, 20 Oct to 22 Dec (PT), 26 Sep to 24 Oct (WK), 31 Oct to 28 Nov (WK), 5 Dec to 2 Jan (WK)
2:00pm to 6:00pm (Singapore Timezone), 9:30am to 5:30pm (Singapore Timezone), 8:30am to 12:30pm (Singapore Timezone), 6:00pm to 10:00pm (Singapore Timezone)
Daily, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
1, 10, 2, 3, 4, 5, 6, 7, 8, 9