Free Course to Learn Image Recognition Basics

FAQs

• What are the prerequisites to attend the Introduction to Image Recognition free course?

  Those who are keen to learn Image Recognition should have a basic awareness of python programming as well as mathematics and statistics. 

• How do beginners learn Image Recognition?

  Beginners who want to learn can start with Image Recognition basics first. Once you have mastered the basics you can move on to the advanced topics in Image Recognition.

• What is the duration of the free Image Recognition course?

  The free Image Recognition course consists of 1 hour of video content that will help you understand all the concepts thoroughly.

• What should I learn first in an Introduction to Image Recognition course?

  It is recommended that you always start with the Image Recognition basics. For a better understanding, watch the learning videos in sequence without skipping any. 

• Is Image Recognition easy to learn?

  The videos that you find as a part of this Image Recognition course are created by mentors who are industry leaders with vast experience in the field. Also, they are aware of the needs of different learners, which is a great plus for the learners.  They have designed the course to be easy to learn.

• Can I complete this Introduction to Image Recognition course in 90 days?

  Yes, you can complete this Introduction to Image Recognition course within 90 days.

• Will I get a certificate after completing the Image Recognition Basics course from Simplilearn?

  Yes, you will receive a course completion certificate after completing the Image Recognition Basics course.

• What are my next best learning options after completing this Introduction to Image Recognition Basics free course?

  After completing this free Image Recognition course, you can opt for the Deep Learning Training Course or AI and ML Certification provided by Simplilearn.

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• What are the career opportunities available after learning Image Recognition?

  Below are the common careers available:

  • Machine learning engineer, 
  • Data scientist
  • Business intelligence developer
  • NLP scientist