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Machine Learning About Deep Learning and Computer Vision

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Course Description:

This excellent Machine Learning – Deep Learning & Computer Vision: An Introduction course will teach you the most cutting edge topics in Machine Learning. If you’re someone who works in analytics, or with big data, this Machine Learning – Deep Learning & Computer Vision: An Introduction course will show you how to design and implement a simple computer vision use-case and so much more. If you’re someone who needs to get to grips with machine learning, this course is for you, and it will help you to grasp the theory underlying both deep learning and computer vision.

Our learning material is available to students 24/7 anywhere in the world, so it’s extremely convenient. These intensive online courses are open to everyone, as long as you have an interest in the topic! We provide world-class learning led by IAP, so you can be assured that the material is high quality, accurate and up-to-date.

What skills will I gain?

  • 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

What are the requirements?

  • You must be 16 or over
  • You should have a basic understanding of English, Maths and ICT
  • You will need a computer or tablet with internet connection (or access to one)

Meet the Instructor:

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

Course outline:

  • Module 01: Introduction: You, This Course &Us!
  • Module 02: Artificial Neural Networks: Perceptrons Introduced
  • Module 03: Computer Vision: An Introduction
  • Module 04: Perceptron Revisited
  • Module 05: Deep Learning Networks: An Introduction
  • Module 06: Installing Python: Anaconda & Pip
  • Module 07: Code Along: Handwritten Digit Recognition – I
  • Module 08: Code Along: Handwritten Digit Recognition – II
  • Module 09: Code Along: Handwritten Digit Recognition – III

How will I be assessed?

  • You will have one assignment. Pass mark is 65%.
  • You will only need to pay £19 for assessment.
  • You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days.

What Certification am I going to receive?

Those who successfully pass this course will be awarded a Machine Learning – Deep Learning & Computer Vision: An Introduction certificate. Anyone eligible for certification will receive a free e-certificate, and printed certificate.

What careers can I get with this qualification?

Once you have completed this Machine Learning – Deep Learning & Computer Vision: An Introduction course you will have desirable skills. You could go on to further study of this topic, or could gain entry level employment in analytics or big data. These roles often command a high salary, for example, the average salary of a Data Scientist in the UK is £43,318, and this will go up with experience (payscale.com). When you complete this Machine Learning – Deep Learning & Computer Vision: An Introduction, you could fulfil any of the following roles:

Data Scientist

Big Data Specialist

Data Architect

Data Analyst

Key Features

Gain an accredited UK qualification

Access to excellent quality study materials

Learners will be eligible for TOTUM Discount Card

Personalized learning experience

One year’s access to the course

Support by phone, live chat, and email

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