Machine Learning – Deep Learning & Computer Vision: An Introduction

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Overview The course will teach you how to confidently develop deep learning for computer vision. This is a comprehensive course …


The course will teach you how to confidently develop deep learning for computer vision. This is a comprehensive course that covers key topics, and will equip you with the appropriate skills and knowledge on how to work with big data. If you want to have a career in software engineering or data analysis, this course is an excellent career choice for you. Deep Learning & Computer Vision: an Introduction is the perfect course for students who want exposure to Machine Learning. This course will cover topics such as: Artificial Neural Networks, how to install Python, and Handwritten Digit Recognition.

Learning with Study 365 has many advantages. The course material is delivered straight to you and can be adapted to fit in with your lifestyle. It is created by experts within the industry, meaning you are receiving accurate information, which is up-to-date and easy to understand.

This course is comprised of professional learning materials, all delivered through a system that you will have access to 24 hours a day, 7 days a week for 365 days (12 months).

  • Who is it for?
  • Course description:
  • Course Duration:
  • Method of Assessment:
  • Certification:
  • Entry Requirement:
  • Career Path:
  • Presenter Information:
  • Analytics professionals, modellers, big data professionals who haven’t had exposure to machine learning
  • Engineers who want to understand or learn machine learning and apply it to problems they are solving
  • Product managers who want to have intelligent conversations with data scientists and engineers about machine learning
  • Tech executives and investors who are interested in big data, machine learning or natural language processing
  • MBA graduates or business professionals who are looking to move to a heavily quantitative role

This course consists of the following modules:

  • Module 1: Look Long, Look Deep

From the day you purchase the course, you will have 12 months access to the online study platform. As the course is self-paced you can decide how fast or slow the training goes, and are able to complete the course in stages, revisiting the training at any time.

At the end of each module, you will have one assignment to be submitted (you need a mark of 65% to pass) and you can submit the assignment at any time. You will only need to pay £19 for assessment and certification when you submit the assignment. You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days if you have successfully passed the course.

Successful candidates will be awarded a certificate in Machine Learning – Deep Learning & Computer Vision: An Introduction.

  • Learners must be age 16 or over and should have a basic understanding of the English Language, numeracy, literacy, and ICT.
  • Some knowledge of undergraduate level maths would be helpful but is not mandatory.
  • Working knowledge of Python would be helpful if you want to run the source code that is provided.

An excellent course which is highly suitable for those who are interested in gaining a higher level of exposure towards machine learning. Once you successfully complete the course in Machine Learning – Deep Learning & Computer Vision: An Introduction, you will gain a recognised qualification that will prove your expertise in deep learning methods. You can use this certification to enhance your career choices, and find the perfect job opportunity in the industry. A career with bright prospects await you with the completion of this course. According to, some of the key job positions along with the average UK salary per annum you can go for after completing this course will be as follows.

  • Data Analyst - £25,988 per annum
  • Big Data Engineer - £39,259 per annum
  • Technical Support Specialist - £26,176 per annum
  • Project Engineer - £32,443 per annum
  • Software Engineer - £35,214 per annum
  • Software Programmer - £30,278 per annum
  • Product Manager – software - £44,816 per annum

Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi, and Navdeep Singh have honed their tech expertise at Google and Flipkart. Together, they have created dozens of training courses and are excited to be sharing their content with eager students. The team believes it has distilled the instruction of complicated tech concepts into enjoyable, practical, and engaging courses.

Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft

Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too

Swetha: Early Flipkart employee, IIM Ahmedabad and IIT Madras alum

Navdeep: Longtime Flipkart employee too, and IIT Guwahati alum


PLEASE NOTE: We do not provide any software with this course.

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Course Curriculum

Free Introduction
Machine Learning – Deep Learning & Computer Vision An Introduction FREE 00:00:00
1: Look Long, Look Deep
1. Introduction: You, This Course &Us!
2. Artificial Neural Networks: Perceptrons Introduced
3. Computer Vision: an Introduction
4. Perceptron Revisited
5. Deep Learning Networks: an Introduction
6. Installing Python: Anaconda & PIP
7. Code Along: Handwritten Digit Recognition – I
8. Code Along : Handwritten Digit Recognition – II
9. Code Along: Handwritten Digit Recognition – III

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