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 |
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