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
Acquire advanced knowledge and technical competency Natural Language Processing (NLP) and Deep Learning.
Learn the key components in Natural Language Processing (NLP), semantic analysis, and featured engineering with Python Programming.
It is preferred that participants successfully completed and pass Certified Machine Learning Expert (CMLE) 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 Natural Language Processing (NLP) and Python Programming based on the syllabus covered
For more information: Natural Language Processing Developer (NLPD) Course Outline
Full-Time, Part-Time, Evening, Weekend
8 to 12 Nov, 10 to 14 Jan, 14 to 18 Mar
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