15 best deep learning courses and certifications online in 2019

15 best deep learning courses and certifications online in 2019
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Deep learning is among one of the most popular fields in the world of IT. If you’re looking into learning this useful skill, here are the top 15 best deep learning courses on the world wide web.

 

1. Udacity – Deep Learning Nanodegree Program

 

Why this course?

After the course, Udacity will help you prepare for interviews through career coaching and make sure that your resume transmits the right image of you as a professional. Once all the details check out, your resume is shared with more than 5000 companies that are searching to those with knowledge in the field, taking the stress out of finding your first gig.

Prerequisites

The only requirement you’ll need for this course is basic Python training. From here you are introduced to this course that takes around 4 months given that you spend about 12 hours per week. This course comes with a very detailed introduction better than that of other deep learning courses, attempting to ensure that you’re prepared to take on some of the ore complex concepts.

Trainers

You’re led by Mat Leonard and Luis Serrano, 2 of the industries most experienced and trained data scientists both holding degrees from top notch universities along with experience working for companies like Google. Apart from the instructors help, you’re also given a personal mentor, one that is there for you to clear up any doubts and support you through the process. Throughout the program you’ll learn:

Key Points

  • Neutral networking basics
  • Sequence generation
  • Python programing training
  • Anaconda and Jupyter
  • GAN training

 

Student Reviews:

With use of the topics mentioned above, you’ll also have a chance to apply the knowledge, participating in projects that give you hands on and interactive experience. There have been more than 120,000 students enrolled throughout its running, receiving a 4.5 out of 5-star rating from its members.

 

Duration 4 months
# of Students 120,000
Overall Rating 4.5
Pricing $39
Level Beginner
Website Signup for this course

 

2. Udemy – Deep Learning A-Z: Hands on Artificial Neutral Networks

 

Why this course?

With this course, methods of problem solving are constantly tweaked, working with the idea that the more advanced technology becomes, the more complex the problems become, making it crucial to have a strong foundation that you can return to in search for the best and most sensible solutions.

Prerequisites

This Python course will have you understanding the smallest of details, putting close attention into the foundations of deep learning to ensure that learners get the best grasp on the basics to continue to flourish future learning. A total of 22.5 hours is needed to complete the course that is available from the date of enrollment for reference if needed. Included are a total of 187 lectures and 32 articles, giving you material to refer back to in case you ever need to brush up on a certain topic.

Trainers

Entrepreneur and data science instructor, Kirill Eremenko,is the brains behind the operation, integrating his expertise in the industry to ensure learners are given all they need to be successful upon completion. This deep learning certification will expose you to:

What will cover in this course:

  • Convolutional Networks
  • Boltzmann machines
  • Code creations from scratch
  • PyTorch tutorials and application
  • TensorFlow training

 

Throughout the course you will have the chance to work on 6 real life challenges all of which can be included in a portfolio to impress future employers.

 

Student Reviews

This course has been highly popular since its first release maintaining a 4.5/5 stars from over 24,000 reviews. Of the top things mentioned about the benefits of this course are

 

 

Duration 22 hours
# of Students 185,525
Overall Rating 4.5
Pricing $9.99
Level Beginner
Website Signup Here

 

 

3. Skillshare – Deep Learning and Neutral Networks with Python

Why this course?

Apart from an introduction to the theories and concepts needed to begin efficient deep learning training, this course will allow you to practice with on several hands-on examples. These examples are designed with your comprehension in mind, but can be used as a starting point as your knowledge of the inner workings of more complex systems develops. Apart from instruction, there is an active community in the event of any questions, with several knowledgeable members in the field.

Prerequisistes

Because of the nature of this program, a background in programming languages and a grasp on basic concepts is necessary. Though they don’t have to be the sharpest, a bit of Python training and knowledge of linear algebra can go al long way.

 

Trainers

Frank Kane, founder of Sundog Education, leads you through 21 short and to the point lessons concerning neutral networks. The total length of this training video is less than 1 hour 30 minutes making it the perfect introduction to deep learning.

What will cover in this course:

With a bit of Python training, this course offers an easy to follow curriculum including:

  • Multi- Layering
  • TensorFlow training
  • Keras training
  • Convolutional neutral networks

 

Reviews

This is not among the most popular of the courses we have listed however those who have taken it have left positive feedback. The course has close to 60 reviews, most of them highlighting the clear instruction and the helpful examples coming from the ex-Amazon employee Frank Kane.

 

Duration 1.5 hours
# of Students 2,341
Overall Rating 4.6
Pricing $19/mo.
Level Beginner
Website Signup for Free Trail

 

4. Codecademy: Natural Language Processing

Why this course?

Beside the community and recognition that comes with a certificate from Codecademy, this course offers comprehensive explanations allowing learners to work with the most used languages including Python and R. Along with the use of the most up to date technology, you’ll be asked to complete projects that can be used to show off on your future portfolio. This course has been trusted and recommended for some time now, and surely it isn’t too difficult to see why.

Prerequisites

This course is made to follow a very well-rounded flow of courses that Codecademy has laid out. For this reason, a very strong foundation of Python is required along with comprehension of deep learning concepts. Those that are wanting to take part in this course will also need to brush up on math skills, most of which should be sharp if they have an understanding of Python.

 

Trainers

Codecademy is known for having knowledgeable trainers and instructors. This course is taught by several different experts in the field, changing as you make your way through. You will find a mix of instructors guiding you, explaining topics of interest and prompting you to move from one topic or slide to the next. They will guide you through a series of introductory concepts within the first lesson, advancing little by little as you delve into:

 

  • Regular Expressions
  • Python Training
  • Chatbot execution
  • Scikit- learn Training
  • Data analysis with Natural Languages

 

These and many other concepts guide you along the way to successful completion where can be one of the millions of certified programmers from Codecademy. Connection with the community along with job suggestions is what you’ll find here.

 

Reviews

Codecademy is one of the most popular courses on the web, with more than 45,000,000 learners from all around the world. This reputation has scored them numerous reviews, most being positive. Learners loved the built-in examples and the ease of accessibility to the courses and lessons they had taken. Apart from this the ability to work on larger projects that are closer to real life examples was the thing that scored them the highest recognition.

 

 

Duration 6 hours
# of Students 5,672
Overall Rating 4.7
Pricing $19/mo.
Level Intermediate
Website Signup For This Course

 

5. Deep Learning Course (Simplilearn)

Why this Course?

Simplilearn has turned out several successful individuals from its long list of courses. The lessons are separated in a stair stepping manner, one that will prepare for each coming step as you make your way through the knowledge needed to create advanced functioning machine systems. At the end of the course there is a section that is specifically left for applications, allowing learners to show off their newly learned developed skills by creating innovative solutions to real problems some of the top industries in the world are facing.

Prerequisites

Because of the ease and complete setup and attention to detail, this course can be taken without vast knowledge of programming and mathematical concepts. It can be helpful and is definitely recommended to have a good handle on some of the most fundamental concepts of programming and basic statistical analysis. For those that are brand new and interested in pursuing a career in machine or deep learning, brushing up on skills should be your first task, getting ready to dive right into expanding knowledge and understanding deep learning to the core and beyond.

 

Trainers

Mike Tamir, the number 1 machine learning influencer and mastermind behind Uber self-driving technologies is the course advisor, setting you up for success. He is head of the numerous qualified trainers that lead the lessons taught within the course. Each instructor must go through an intensive process, ensuring that they are not only impressive on paper but also on screen, needing to prove that they are experts in the field which they are teaching with plenty of real-life practice. The instructors will lead you through:

 

  • Artificial Neutral Networks
  • Backpropagation
  • Optimization and Regularization
  • Deep Learning applications
  • TensorFlow Training

 

Reviews

Among the top reviews, data scientists at companies like IBM have taken the course and left positive reviews. Among these reviews, many of those who have taken the course have mentioned the ability to solve real world problems during the course and the comprehensive manner of explanations of concepts. There are many success stories, most of those with certificates showcasing their expertise in their field.

You will get a certification after course completion.

Duration 40 hours
# of Students 2,043
Overall Rating 4.6
Pricing $799
Level Intermediate
Website Signup for this course

 

6. Edureka – Deep Learning in TensorFlow with Python

Why this Course?

Not only is this course instructor led but also featured weekend classes to help take the load off of the shoulders of professionals already in the field looking to evolve their skills. The large community and placement assistance have landed several individuals careers in IT that some can only dream of. Toward the end of the course, all of the projects which you will need to complete help tighten the grasp on several technological concepts, all of which can be added to portfolios showcasing you as a well-rounded candidate.

Prerequisites

Perhaps one of the best things about this course is its ability to teach both beginner and advanced learners. This is not to say that those interested should just dive right in. Though, as a beginner, you will be able to grasp the concepts, it can be helpful to have Python training and some fundamental skills with mathematical concepts. For this program, you will need to install Jupyter Cloud Lab, as many of the problems you will be attempting to solve require this program.

 

Trainers

Depending on which training you sign up for, you’re subject to a different instructor. This however should be of no turn off, as Edureka takes pride in instructor selection. All of the instructors are experts in the material which they are lecturing over, and all most have been working with IT for a minimum if 10 years. The best instructors have HTML training, CSS training, Python Training, and have complete deep learning courses themselves, making them the perfect guide into the deeper corners of the world wide web. Throughout the course you will learn:

 

  • TensorFlow and Python
  • Deep learning frameworks
  • AI execution
  • Machine learning algorithms
  • Data abstraction
  • Implementation of Keras
  • Text processing

 

Reviews

5000 total reviews from several successful IT employees spread across several top-notch companies. Out of a rating of possible 5 stars, the course has maintained a 4.57% with a course completion rate of 80%. Those that have left feedback comment on the comprehensive lessons and the helpful instruction. There is also a large and growing community that keeps several professionals in touch across several different communities.

 

Duration 30 hours
# of Students 16,000
Overall Rating 4.9
Pricing $288
Level Intermediate
Website Signup for this

course

 

7. EdX- Deep Learning Course by IBM

Why this course?

This course allows learners to diver right in to the deep end, proving opportunities to work with autoencoders and profound architectures to open up the mind to different opportunities. This is all separated over 5 courses with each course lasting up to 6 weeks. At the end of the course, you’re given a Capstone Project assignment, one that deals with a real situation that businesses are continually searching for. This project can be added to you resume along with this prestigious certificate making you a more attractive candidate to businesses seeking the perfect professional to evolve their business practices.

 

Prerequisites

The intention of this course is to equip learners with all that they need to know to become successful in the world of AI and launch their career in the field of applied Deep Learning. This course is crafted to start from the fundamentals of deep learning all the way to the most complex concepts to allow you total freedom to choose the best methods to solve real world problems. There are no true prerequisites to this deep learning course however, some Python training and knowledge in linear equations can prove helpful.

 

Trainers

This course comes will give you the most in depth look into the most fundamental workings of deep learning. Coming from tech experts at IBM, the classes are taught by experts in the field that come with both certifications and work experience. As you make your way through the course, comprehensive quizzes and tests are available to ensure your understanding of concepts. Some of the depths you will uncover through this course include:

 

  • Neutral networks
  • Supervised and unsupervised learning
  • TensorFlow
  • Object recognition
  • Image and video processing

You will get a certificate after course completion.

Reviews

Of the students who have reviewed the course, several of them have commented on its difficulty, labeling it as medium level. Though this is a self-paced course, most of those who have completed it recommend spending around 4-10 hours a week, attempting to stay sharp on the newer concepts that have been introduced. One helpful suggestion that seems to be a common among past learners is the sites Azure notebook program, many complaining about slow download times. Even with this complaint, learners were able to use the alternative, Docker Image, and still gave the course a great rating.

 

Duration 2-4 months
# of Students 9,623
Overall Rating 4.5
Pricing $405
Level Intermediate
Website Signup Here

 

8. Coursera – Deep Learning Certification

Why this course?

Throughout the course, you are welcomed to open contact with experts in the industry using their knowledge as a basis to answer any questions that might come up throughout the course. Perhaps the best part about this course is the real-world examples you’re given to practice with, some including industries like healthcare, music generation, natural language and more. Joining the Coursera community gives you opportunities to expand your knowledge, even offering specialized courses if there is a field you want to learn more about.

Prerequisites

The course is taught with the sense that those who have chosen to take it have experience with Python. Apart from Python training, it is also expected to have a fundamental understanding of concepts in programming like loops and if/then statements. As far as math is concerned, basic knowledge of liner algebra will suffice.

 

Trainers

A powerful combo formed by Andrew Ng in association with other Stanford professors and nvidi|deep learning institute come together to bring this superstar course targeted to those that want to further their knowledge of machine learning. Ng himself, Coursea cofounder and head of the project that created Google Brain leads the classes over a span of 3 weeks consisting of 11 hours per week. 5 total courses are available to get a profound understanding of the foundations of Deep Learning. Apart from the foundations, you will complete the course with a complete understanding of:

 

  • RNN’s and Dropout
  • Multi-layer building
  • Network building from scratch
  • Building of machine learning projects

you will get a certificate after course completion.

Reviews

This has been and remains one of the top recommended courses for deep learning training on the web. More than 240,000 learners have enrolled in the course, hoping to evolve their knowledge as a programmer. Most of those that have taken the course love the teaching methods of Ng, creator and knowledgeable instructor. Another high point is the financial aid that is available for those wanting to change their career.

 

Duration 4 months
# of Students 23,525
Overall Rating 4.5
Pricing $29/mo.
Level Intermediate
Website Signup Here 

 

9. Lynda.com – Deep Learning Introduction

Why this course?

This is the best course for those that are looking for a lighter and easier to follow introduction to deep learning. The entire course features 9 hours of video instruction that can be completed at your own speed. There are several other courses that follow, using this as a way to jump start the learning process. Those who are interested in E-commerce, or AWS systems will like this course as it follows the development of recommenders closely.

Prerequisites

Lynda.com is set up to welcome even the newest of learners, giving a very simple and easy to follow video instruction over the basics of deep learning. There are no recommendations however, it is suggested to have some Python training and keep and open mind about math and statistical concepts.

Trainers

Frank Kane, ex-Amazon data scientist and knowledgeable instructor, will be your guide through all of the concepts and ideas necessary to gather an understanding of deep learning. He was one of the genius minds behind the company’s recommendation technologies and worked closely with artificial neutral networks.  He will guide you through:

 

  • Recommenders
  • Content-based filtering
  • Matrix factorization
  • Scaling with AWS and more
  • Building hybrids

 

Reviews

Majority of the reviews received about this course have been positive, most of them highlighting the ease of understanding the top-rated instructor.

 

Duration 9 hours
# of Students 23,525
Overall Rating 4.5
Pricing $29/mo.
Level Intermediate
Website Signup Here

 

10. edX -Deep Learning with TensorFlow

 Prerequisites

A good grasp on python code is recommended but not required. This course provides all you need to know about the language and its applications.

Trainers

Saeed Aghabozorgi, Sr. Data Scientist

 

Course Description

Duration 5 weeks
# of Students 24,188
Overall Rating 4.8
Pricing $99
Level Intermediate
Website Signup Here

 

 

11. Coursera – Neural Networks and Deep Learning

 Prerequisites

Made for learners with a good amount of training, this course is good for those that already have a good understanding of programming concepts and languages.

 

Trainers

Andrew Ng, founder of Google Brain

Kian Katanforoosh, Instructor of Computer Science at Stanford University

 

Course Description

Duration 18 hours
# of Students 452,150
Overall Rating 4.9
Pricing $19/mo.
Level Intermediate
Website Signup Here

 

12. Deep Learning with Keras (Pluralsight)

 Prerequisites

An understanding of advanced mathematical concepts like calculus and linear algebra is a plus. Also, you will want to understand basic concepts of programming.

Trainers

Jerry Kurata, Solutions architect at InStep Technologies

 

Course Description

Duration 2.5 hours
# of Students 4,237
Overall Rating 4.8
Pricing $19.99 / mo.
Level Intermediate
Website Signup Here

 

 

13. Advanced Deep Learning with Keras in Python (DataCamp)

 

Prerequisites

Knowledge of programming concepts is a must as this course dives right into the deeper and more complex concepts.

 

Trainers

Hamill Schelte, Data Analyst and instructor

 

Course Description

Duration 4 hours
# of Students 7,056
Overall Rating 4.8
Pricing $39 / mo.
Level Advanced
Website Signup for Free Trail

 

 

14. Udemy – Data Science: Deep Learning in Python

 

Prerequisites

Learners will need to know and understand the use of Python along with a good grasp on mathematical skills.

 

Trainers

Yaniv Cohen, Data Analyst

 

Course Description

Duration 10.5 hours
# of Students 37,363
Overall Rating 4.6
Pricing $9.99
Level Intermediate
Website Signup Here

 

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