Machine Learning – Deep Learning & Computer Vision: An Introduction


Discover Core Machine Learning Concepts & Build An Artificial Neural Network

This course will get you started on two of the hottest topics in Machine Learning. Go beyond the hype, and get started learning how to design and implement a simple computer vision use-case and so much more! With nearly 2 hours of expert-led instruction, by the time you’ve completed this course, you will have a firm grasp on the theory underlying both deep learning and computer vision. Supplemental Material included!

Length: 1 hr 30 min

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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.

Course Information


  •  No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory.
  •  Working knowledge of Python would be helpful if you want to run the source code that is provided.


  • Design and Implement a simple computer vision use-case: digit recognition
  • Confidently move on to more complex and comprehensive material on these topics
  • Grasp the theory underlying deep learning and computer vision
  • Understand use-cases for computer vision as well as deep learning

Target Audience:

  • Analytics professionals, modelers, 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

Sample clip


Chapter 01: Look Long, Look Deep

Lesson 01: Introduction: You, This Course &Us!

Lesson 02: Artificial Neural Networks: Perceptrons Introduced

Lesson 03: Computer Vision: an Introduction

Lesson 04: Perceptron Revisited

Lesson 05: Deep Learning Networks: an Introduction

Lesson 06: Installing Python: Anaconda & PIP

Lesson 07: Code Along: Handwritten Digit Recognition – I

Lesson 08: Code Along : Handwritten Digit Recognition – II

Lesson 09: Code Along: Handwritten Digit Recognition – III

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

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