• LOGIN
  • No products in the cart.

You must be logged in to take this course  →   LOGIN | REGISTER NOW

Machine learning capabilities have improved dramatically in the recent years but how can your apps take advantage of this wave of the innovation? In this course, you will develop a baseline understanding of machine learning concepts, build apps using the Core ML and Vision frameworks, and learn how to integrate custom machine learning models. Today’s most popular apps are already augmented by the machine learning features.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer need to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.

Having an Official Edukite Certification is a great way to celebrate and share your success. You can:

  • Add the certificate to your CV or resume and brighten up your career
  • Show it to prove your success

 

Course Credit: Udacity

Course Curriculum

Lesson 1: Using Core ML
L1 1 Machine Learning For IOS 00:00:00
09 Using Vision With CoreML In Your App V2 00:07:00
Lesson 2: A Custom Core ML Model
2 Setting Up Python Environment With Docker V1 00:05:00
3 Converting A Custom Model To CoreML V1 00:06:00
4 Adding Custom Model To Smart Grocery List App V1 00:03:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

Course Reviews

4.9

4.9
8 ratings
  • 5 stars0
  • 4 stars0
  • 3 stars0
  • 2 stars0
  • 1 stars0

No Reviews found for this course.

476 STUDENTS ENROLLED
©2021 Edukite. All Rights Resereved
Edukite is A Part Of Ebrahim College, Charity Commission
Reg No 110841