Coursera Deep Learning Courses

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Contributor, Benzinga
October 27, 2020

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Do you want to master deep learning to work more efficiently in the classroom? Or maybe you want to level up your knowledge to position yourself for career growth? 

Either way, Coursera offers several options for all skill levels to help you get started, and you can sign up for free. 

Benzinga is here to help you find the perfect fit.

Quick Look: Best Coursera Deep Learning Courses

Here’s a quick glimpse at Benzinga’s top picks: 

What Makes a Coursera Deep Learning Course Great?

Here are some factors to keep in mind as you explore Coursera deep learning courses to find the best fit: 

Starts with the Basics 

You want a course that covers the essentials of machine learning before jumping into lessons on deep learning. This is especially important if you’re just getting started with AI.

Includes Supplementary Resources 

Video lectures introduce the mechanics, but bonus readings help you comprehend the vital concepts. Quizzes are also useful as they gauge if you have mastered the material or should spend more time on the lessons in the module. 


The best Coursera deep learning courses are self-paced and allow you to work through the lessons when it’s convenient. You can also spend as much time as you need on the more challenging material. 

Our Top Picks

Below, you will find Benzinga’s top picks from Coursera. The classes are organized by skill level — beginners, intermediate and advanced students. You will also find a description of each option to help you identify the most suitable course for you. 

Coursera Deep Learning Courses for Beginners

These introductory deep learning courses are best for beginners.

1. Introduction to Deep Learning by the National Research University Higher School of Economics


Who it's for: Beginners

Price: Free

Offered by the National Research University Higher School of Economics, this introductory course is the first of 7 components in the Advanced Machine Learning Specialization. It teaches the fundamentals of modern neural networks and how they are used in natural language understanding and computer vision. 

Introduction to Deep Learning consists of 6 modules: 

  • Introduction to Optimization 
  • Introduction to Neural Networks
  • Deep Learning for Images 
  • Unsupervised Representation Learning 
  • Deep Learning for Sequences
  • Final Project  

Instruction is delivered through a series of videos, reading and quizzes. 

Expect to spend 34 hours working through the material. 

Enroll now

2. AI for Everyone by DeepLearning.AI


Who it's for: Beginners

Price: Free

If you don’t have an engineering background but want to learn the fundamentals of AI, this is the perfect course. AI for Everyone is presented by DeepLearning.AI and features in-depth video lectures to bring you up to speed.  

Here’s a breakdown of the syllabus: 

  • What is AI?
  • Building AI Projects 
  • Building AI In Your Company 
  • AI and Society 

You will walk away knowing how to identify AI terminology and understanding the core functions of AI. Students also can identify issues within their organization that can be solved with AI and collaborate with AI teams to build company strategies. 

Facilitator Andrew Ng is the Founder and CEO of Landing AI and a co-founder of Coursera. He’s also an adjunct professor at Stanford University. 

Enroll now.

3. Structuring Machine Learning Projects by DeepLearning.AI


Who it's for: Beginners

Price: Free

Consider this beginner-level course if you want to learn how to build a machine learning project from scratch. Also offered by DeepLearning.AI, Structuring Machine Learning Projects is ideal for aspiring technical leaders in AI. 

You will learn how to identify and diagnose errors in a machine learning system, prioritize promising directions for minimizing errors, understand challenging machine learning settings and so much more. 

It is divided into 2 parts: 

  • ML Strategy (1)
  • ML Strategy (2) 

Andrew Ng is also a facilitator and teaches the course with head teaching assistant Kian Katanforoosh and teaching assistant Younes Bensouda Mourri. 

Enroll now

Intermediate Coursera Deep Learning Courses

If you have some deep learning experience under your belt, consider these intermediate courses to level up your skills and expertise. 

4. An Introduction to Practical Deep Learning by Intel 


Who it's for: Intermediate students

Price: Free

An Introduction to Practical Deep Learning is an exceptional course offering from Intel. It dives into complex concepts, like training deep networks through Intel Nervana Neon and how to apply Deep Learning to an assortment of applications. 

  • Introduction to Deep Learning and Deep Learning Basics
  • Convolutional Neural Networks (CNN), Fine-Tuning and Detection 
  • Recurrent Neural Networks (RNN)
  • Training Tips and Multi-Node Distributed Training 
  • Hot Research and Intel’s Roadmap
  • Final Quiz 

The class is co-instructed by Sr. Principal Engineer Andres Rodriguez, Principal Engineer Hanlin Tang and Nikhil Murthy. 

It takes roughly 17 hours to get through the videos, reading and quizzes. 

Enroll now

5. Neural Networks and Deep Learning by DeepLearning.AI


Who it's for: Intermediate students 

Price: Free

Join Andrew Ng, Kian Katanforoosh and Younes Bensouda Mourri for this intermediate course that provides a refresher of core deep learning fundamentals and transitions to higher-level concepts. It is suitable for individuals who want to level up their deep learning skills to pave the way for more lucrative career opportunities. 

Neural Networks and Deep Learning includes the following sections: 

  • Introduction to Deep Learning
  • Neural Networks Basics
  • Shallow Neural Networks
  • Deep Neural Networks  

Beyond the technical knowledge, you will also learn best practices when interviewing for AI-related roles. 

It takes approximately 20 hours to finish the course, and you can get started today for free. 

Enroll now

6. Deep Learning for Business by Yonsei University


Who it's for: Intermediate students 

Price: Free

Offered by Yonsei University, Deep Learning for Business provides detailed instruction to help you apply deep learning concepts in the workplace and improve outcomes. There are also lessons on cultivating core business strategies that make it easier to execute technical planning tasks using deep learning and machine learning mechanisms. 

It is led by Electrical and Electronic Engineering professor Jong-Moon Chung and features 6 modules: 

  • Deep Learning Products and Services
  • Business with Deep Learning and Machine Learning 
  • Deep Learning Computing Systems and Software 
  • Basics of Deep Learning Neural Networks 
  • Deep Learning with CNN and RNN
  • Deep Learning Project with TensorFlow Playground 

It’s free to register. 

Enroll now

Advanced Coursera Deep Learning Courses

Career professionals and graduate students should consider these advanced courses. 

7. Applied AI with Deep Learning by IBM 


Who it's for: Advanced students 

Price: Free

Applied AI with Deep Learning is offered by IBM and instructed by Chief Data Scientist Romeo Kienzler, Training Director Tom Hanlon and Data Scientist IIja Rasin. It is the 3rd component of the Advanced Data Science with IBM Specialization. 

He divides the course into these segments: 

  • Introduction to Deep Learning
  • DeepLearning Frameworks
  • DeepLearning Applications
  • Scaling and Deployment 

The class consists of video lectures to convey pertinent concepts. You will also have access to supplementary readings to facilitate your comprehension of the material and take quizzes to gauge if you’re ready to move on to subsequent lessons. 

Enroll now

8. Deep Learning in Computer Vision by the National Research University Higher School of Economics


Who it's for: Advanced students

Price: Free

Deep Learning in Computer Vision is tailored to meet students' needs who want to become well-versed in the subject. It explores the basics of computer vision and both video and image recognition. The course also delves into object recognition and image search, image classification and annotation, human action recognition and more. 

Here’s how the lectures are categorized: 

  • Introduction to Image Processing and Computer Vision
  • Convolutional Features for Visual Recognition
  • Object Detection 
  • Object Tracking and Action Recognition
  • Image Segmentation and Synthesis

The class is co-facilitated by senior lecturers Anton Konushin and Alexey Artemov. Both are HSE Faculty of Computer Science at the National Research University Higher School of Economics. 

Enroll now

9. Building Deep Learning Models with TensorFlow by IBM


Who it's for: Advanced students

Price: Free

Building Deep Learning Models with TensorFlow is another free offering from IBM and a part of the AI Engineering Professional Certificate Program. You will discover ways deep learning is applied to varying data types to solve real-world challenges. 

Chief Data Scientist Romeo Kienzler and Data Scientist Alex Aklson, Ph.D. divide the in-depth video lectures into 5 sections: 

  • Introduction 
  • Supervised Learning Models
  • Supervised Learning Models (continued)
  • Unsupervised Deep Learning Models 
  • Unsupervised Deep Learning Models (continued)

Similar to the other deep learning courses from IBM, it includes video lessons, readings and quizzes. 

Enroll now

Find the Best Coursera Deep Learning Course for You

When you’re ready to advance your skills and knowledge, start with a course from our list of recommendations. They start with the basics, include supplementary resources and are self-paced. So, you can enroll with confidence, knowing you can get started for free and get the most from your online learning experience. 

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