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Course Overview

The ultimate goal of the Introduction to Machine Learning with TensorFlow Nanodegree programme is to help learners learn machine learning techniques such as data transformation and algorithms that can find patterns in data and apply machine learning algorithms to tasks of their own design.


This programme emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks. It is designed for individuals who are new to machine learning and want to build foundational skills in machine learning algorithms and techniques to either advance within their current field or position themselves to learn more advanced skills for a career transition.

Who Should Attend

Professionals seeking a career as Machine Learning Engineer/Data Analyst/Data Scientist in various industries, from health care, finance, sales, transports, administrations.

What You'll Learn

1. Use Python and SQL to access and analyze data from several different data sources.


2. Build predictive models using a variety of unsupervised and supervised machine learning techniques.


3. Perform feature engineering to improve the performance of machine learning models.


4. Optimize, tune, and improve algorithms according to specific metrics like accuracy and speed.


5. Compare the performances of learned models using suitable metrics.


Click here for course syllabus





Learners shall have to prove their skills by completing the following projects:


  1. Finding Donors for CharityML: Apply supervised learning techniques on data collected for the US census to help CharityML (a fictitious charity organization) identify groups of people that are most likely to donate to their cause.

  2. Create Your Own Image Classifier: Define and train a neural network in TensorFlow that learns to classify images; going from image data exploration to network training and evaluation.

  3. Identify Customer Segments with Arvato: Study a real dataset of customers for a company, and apply several unsupervised learning techniques in order to segment customers into similar groups and extract information that may be used for marketing or product improvement.





  • Learners will be awarded Certificate of Completion co-issued by TP and Udacity in Artificial Intelligence Programming with Python upon completion of at least ONE project.
  • Learners will be awarded the Nanodegree conferred by Udacity in Artificial Intelligence Programming with Python upon completion of ALL projects.

Course Schedule

Intake Info Application Closing Date Course Duration

30 August 2021

21 August 2021

12 weeks


Application Procedures

STEP 1 |
Take a Udacity Technical Assessment

Select the Nanodegree programme you are interested in and take a technical assessment by Udacity. If you pass the assessment, you will be invited to apply formally to the programme.

Applicants will hear from Udacity within 1 working week

Programme application closes on
21 August 2021

STEP 2 |
Apply for SkillsFuture Subsidy

If you pass the technical assessment in step 1, you will receive an email from Udacity to apply to Temasek Polytechnic for SkillsFuture Subsidy of up to 90%! 

Applicants will need to login to an online registration portal to apply and make payment.

Subsidy application closes on
28 August 2021

STEP 3 |
Enroll and Start Learning!

You will be invited to attend a virtual kickoff briefing session to kick start your learning journey with Udacity together with other participants!

Participants will receive a welcome email from Udacity with information on your learning journey closer to the kickoff date!

Programme kickoff on
30 August 2021

Course Fees

Fee Type Item Total Fees 
Singapore Citizens (SC) aged 39 & below and Singapore PRs (SPR) S$1,300.05
Singapore Citizens (SC) aged 40 & above S$490.05
Singapore Citizens (SC) and Singapore PRs (SPR), sponsored by SME S$490.05
Foreigners (Full Fees) S$4,333.50

SkillsFuture Credit Approved. For more details, please click here.


1. For more information on Mid-Career Enhanced Subsidy, please click here.

2. To learn about the SME Scheme, click here.

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Course Contact

  • 67881212
  • 8.30am – 6.00pm (Mon – Thu)

    8.30am – 5.30pm (Fri)

    Closed on Sat, Sun & Public Holidays

    Due to Safe Management Measures, our office is currently closed.

    Please call or email us your enquiry.

    Thank you for your patience and understanding.

  • https://www.tp.edu.sg/knowitgetit
  • Temasek SkillsFuture Academy

    Temasek Polytechnic

    East Wing Block 1A, Level 3, Unit 81

    21 Tampines Avenue 1,

    Singapore 529757

  • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.

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