Best Deep Learning Courses 2021

Introduction to Deep Learning

Deep Learning is one of the most popular terms in the field of Data Science along with Machine Learning and Artificial Intelligence. Deep Learning can be described as a function of Artificial Intelligence that tries to think and work logically like a human brain in processing data and extracting useful information which is very useful in making final decisions.

Not only decision making, but Deep Learning is also used for various other purposes such as speech recognition, language translation, Object detection, and many more. In today’s world, tons and tons of data are being generated from every single region of the world. The Internet and technology are getting cheaper and are easily made available in the hands of everyone. Deep Learning is very useful in processing data and extracting useful information from big data, and that’s the reason why it is getting popular day by day.

Deep Learning can also be described as a subset of Machine Learning as it uses the hierarchical level of the neural network to complete the process of Machine Learning. In the world of various technologies, there is a professional role in which you have to work with your knowledge of Deep Learning and AI, and that’s the Deep Learning Engineer.

A Deep Learning Engineer is certainly not an entry-level role. Being a Deep Learning Engineer requires a certain level of skills such as the ability to write efficient code in R, Python, and Java, Practical knowledge of various Machine Learning and Deep Learning frameworks and libraries such as Caffe, Keras, TensorFlow, PyTorch, Theano, etc. Good understanding of Data Structure, Software Design, and Development along with various soft skills is also expected. 

Deep Learning Engineer is responsible for analyzing large datasets to extract useful information and insights, train various Machine Learning and Deep Learning models, manage the infrastructure and pipeline build for development of code from scratch to production stage, supporting and collaborating with other Machine Learning or Deep Learning Engineer to finalize the project.

If you want to become a Deep Learning Engineer but don’t have an idea about the courses, skills, Job role, salary offered then you are at the right place and right time. Just bookmark this page as we are going to cover every detail of Deep Learning in this post of Best Deep Learning Courses 2020.

Top 10 Best Deep Learning Courses

1. Coursera Deeplearning.ai

Deeplearning.ai is offering a deep learning specialization course. It is a combination of five different specialization courses which will help you a lot to understand the Deep Learning fundamentals and apply them in your professional life. 

The specialization courses are – 

1. Neural Networks and Deep Learning.

2. Improving Deep Neural Networks.

3. Structuring Machine Learning Projects.

4. Convolutional Neural Networks.

5. Sequence Models.

You can enroll in the course for $49/month on Coursera and learn from the best in the industry. You can also enroll in individual courses.

The complete duration of this deeplearning.ai course is sixteen weeks. You have to dedicate 6 hours a week to the course.

The course is created and taught by Dr. Andrew Ng, who is a global leader in AI and also co-founder of Coursera.

Course Details

  Course Duration

16 Weeks

  Course Pricing

$49/month

  Difficulty

Intermediate

  No. of Students Enrolled

541,241

  Link of the Course

 CLICK HERE

2. Udacity Deep Learning Nanodegree Program

Udacity is one of the most popular and trusted online educational platforms. In this Nanodegree program, you will learn about deep learning and its role in Artificial Intelligence. You will study and apply your deep neural networks to various challenges like image classification, generation, and model deployment.

This Nanodegree program has some realistic projects and tasks related to deep learning which will develop and enhance your practical knowledge of the subject.

You can enroll and access the entire course for $1225. However, you can also pay $307 per month and access the course part wise.

The Overall duration of the course is 4 months in which you have to dedicate 12hrs per week to the program for learning after enrollment.

Udacity Nanodegree programs have various advantages such as World-class instructors, Technical Mentor support, Personal guidance, realistic projects, etc. 

Course Details

  Course Duration

4 Months

  Course Pricing

$1225

  Difficulty

Beginner

  Course Rating

4.7 Stars

  Link of the Course

 CLICK HERE

3. Datacamp Deep Learning in Python

Datacamp is offering a powerful skill track for Deep Learning in Python. On this track, you will learn deep learning and enhance your skills to the next level. You will be working with Keras and PyTorch, neural networks, and deep learning model Workflow. Using Tensorflow you will build linear regression models and neural networks. This skill track is a combination of 5 courses. They are – 

1. Introduction to Deep Learning in Python.

2. Introduction to TensorFlow in Python.

3. Introduction to Deep Learning in PyTorch.

4. Introduction to Deep Learning in Keras.

5. Advanced Deep Learning with Keras.

Datacamp has three different plans as per pricing for any of their courses. You can choose Personal Standard Plan for $12.42/month, Personal Premium Plan for $33.25/month, and Free plan to give a try.

The overall duration of the course is 20 hours. Each of the courses in a track is of 4 hours and is taught by World-class professionals.

The skill track is perfect for beginners to build and enhance their Deep Learning skills and excel in the field of Deep Learning and Artificial Intelligence.

Course Details

  Course Duration

20 hours

  Course Pricing

$12.42/Month

  Difficulty

Beginner

  No. of Students Enrolled

Over 7,000,000 learners

  Link of the Course

 CLICK HERE

4. Udemy 

Deep Learning A-Z: Hands-On Artificial Neural Networks

In this Deep Learning A-Z: Hands-on Artificial Neural Network course you will learn to create Deep Learning Algorithms in Python from two Data Science and Machine Learning experts. The course comes with a 30 days money-back guarantee. You will understand and learn various concepts of Neural Networks and apply them in practice.

The overall pricing of this Udemy Deep Learning A-Z: Hands-On Artificial Neural Networks course is $115.91.

This course has 26 sections in which there are a total of 172 lectures. The overall duration of the course is 22h 37m.

The course has a comprehensive syllabus and is perfect for any beginner or intermediate learner. There are various other courses on Udemy which complement this course. Also, this course is taught by a world-class instructor.

Course Details

  Course Duration

22 hours 37m

  Course Pricing

$115.91

  Difficulty

Intermediate

  No. of Students Enrolled

282,830

  Link of the Course

 CLICK HERE

 Udemy Natural Language Processing with Deep Learning in Python

This Natural Language Processing with Deep Learning in Python is a complete guide on deriving and implementing GloVe, word embeddings, word2vec, and sentiment analysis with recursive nets. This course is created by Lazy Programmer Inc. 

This course has 13 sections in which there are 95 lectures. The overall duration of the course is 11h 57m covering each of the topics and concepts in detail.

The price of this Udemy Natural Language Processing with Deep Learning in Python course is $34.34. The course requires prior knowledge of Machine Learning and Data Science.

This is a very detailed course and will help you to understand various concepts and topics of Neural Networks and NLP with Deep Learning in Python.

Course Details

  Course Duration

11 hours 57m

  Course Pricing

$34.34

  Difficulty

Advanced

  No. of Students Enrolled

38,549

  Link of the Course

 CLICK HERE

Udemy Data Science: Deep Learning in Python

This Udemy Data Science: Deep Learning in Python is one of the most in-depth courses in neural network theory. You will learn how to code one with pure Tensorflow and Python.

The price of this Udemy Data Science: Deep Learning in Python course is $115.91. However, there is 92% off on this course for a limited time.

This course has 14 sections in which there are a total of 89 lectures. The overall duration of the course is 11h 6m. You can learn at your speed of understanding.

This is an in-depth course in which you will learn the working of Deep Learning in practical. You will learn how neural networks are built from basic building blocks. You will code a neural network using Google’s Tensorflow. This course will teach you the fundamentals of Deep Learning Data Science in detail.

Course Details

  Course Duration

11 hours 6m

  Course Pricing

$115.91

  Difficulty

Advanced

  No. of Students Enrolled

44,612

  Link of the Course

 CLICK HERE

5. Pluralsight Deep Learning with Keras

In this Pluralsight Deep Learning with Keras, you will learn both theoretical and practical use of Keras to implement deep neural networks. You will use Keras various methods for interconnecting layers to form the structure of Deep neural networks.

PluralSight has a standard price for three different plans which are Monthly, Annual, and Premium.

In the Monthly plan, you have to pay $20.11 per month to have access to the full course library including over 7,500 courses. In the Annual plan, you will have to pay $165 per annum and have access to courses, paths, and different skill assessments. Lastly in the premium plan, you will have to pay $246.84 per annum and have access to every feature provided by them.

The overall duration of the course is 2h 33m. This course is 5 stars rated on the PluralSight platform.

This course is created by Jerry Kurata who is Solutions Architect at InStep Technologies. After the completion of this course, you will master your skills required to effectively create deep neural networks.

Course Details

  Course Duration

2 hours 33m

  Course Pricing

$20.11/Month

  Difficulty

Intermediate

  Course Rating

5 Stars

  Link of the Course

 CLICK HERE

6. edX Hands-on Artificial Intelligence: Professional Certificate in Deep Learning

This is a collection of 6 courses on IBM’s Deep Learning Professional Certificate. In this program, you will learn all the fundamental concepts of Deep Learning, including various Neural Networks for supervised or unsupervised learning.

The price for the full course or the full program experience is $481.26 for a limited time. The Original price of this complete program is $534.73.

The overall duration of this Professional Certificate in the Deep Learning program is 8 months. You have to dedicate at least 4 hours per week to learn the topics and concepts covered in this program.

The tutors or instructors of this program are industry experts from IBM who are committed to teach and learn online. At the end of this program, you will also gain knowledge about the job market and the annual demand for the roles of Data Scientist. This can help you to achieve your dream career.

Course Details

  Course Duration

8 Months

  Course Pricing

$481.26

  Difficulty

Intermediate

  No. of Students Enrolled

Unknown

  Link of the Course

 CLICK HERE

7. LinkedIn Learning Introduction to Deep Learning with OpenCV

This is the Deep Learning with OpenCV course from LinkedIn Learning. In this course you will learn Deep Learning for OpenCV, Image and Video Classification, YOLOv3, working with blobs in the dnn module, and viewing images and video in OpenCV.

The price of this Introduction to Deep Learning with OpenCV course is $12.07 with estimated tax excluded. You can also start your free trial for a month on LinkedIn Learning to get an overview of the courses.

The overall duration of this course is 49m 4s. The course has 1 project file and some quizzes to test your understanding.

You can also access this course on Mobile phones or tablets. After the completion of this course, you will receive a certificate of completion from LinkedIn Learning. Jonathan Fernandes will be your Instructor throughout this course, he is a professional consultant focusing on data science, AI, and big data.

Course Details

  Course Duration

49m 4s

  Course Pricing

$12.07

  Difficulty

Beginner

  No. of viewers

10,345

  Link of the Course

 CLICK HERE

8. Coursera Introduction to Deep Learning

This Introduction to Deep Learning course is a part of the Advanced Machine Learning Specialization course provided by Coursera. In this course, you will get a basic understanding of modern neural networks and their applications in computer vision and Natural language processing and understanding.

You can enroll in this course for free and start learning about Deep Learning from basics to intermediate. This course is 100% online so you can learn it at your schedule and speed.

This overall duration of this course is approximately 34 hours. The course is in the English language with subtitles in both English and Korean.

Upon the completion of the course, you will earn a certificate of completion of the Introduction to Deep Learning course from Coursera and add it to your portfolio. You will gain knowledge of Recurrent Neural Network, Tensorflow, Convolutional Neural Network, and Deep Learning.

Course Details

  Course Duration

Approx 34 hrs

  Course Pricing

Free

  Difficulty

Intermediate

  No. of Students enrolled

148,466

  Link of the Course

 CLICK HERE

9. Fast.io Practical Deep Learning for Coders

In this practical course along with the book, you will learn the use of Deep Learning in different areas such as Natural Language Processing (NLP), Computer Vision, Medicine, Biology, Image generation, Recommendation systems, Playing games, Robotics, and other applications.

This learning path or course along with the book is free of cost. Also, it depends on you how much time you will take to complete the course.

In this course, you will be using PyTorch and fastai. After the completion of the course, you will learn to train models that achieve the state of the art results, you will learn to turn your models into web applications and deploy them.

Course Details

  Course Duration

Depends on the learner

  Course Pricing

Free

  Difficulty

Intermediate

  No. of Students enrolled

Unknown

  Link of the Course

 CLICK HERE

10. Simplilearn Deep Learning Course (with Keras & Tensorflow) Certification Training

In this Deep Learning Course Certification Training, you will master deep learning concepts and models using Keras and Tensorflow frameworks and implement various Deep Learning Algorithms. You will be prepared for a successful career as a Deep Learning Engineer.

The overall duration of the course is 34 hours and learners get the flexibility to choose classes and learn at their speed.

The price of this course is $268.31 getting you lifetime access to high-quality self-placed e-learning content.

The course has two realistic projects which can help you to gain some practical knowledge and experience. After the completion of the course, you will receive your Simplilearn certificate.

If you want to receive a professional Tensorflow Developer Certificate then you can give the Tensorflow Developer Certificate exam which will cost $100 for one attempt.

Course Details

  Course Duration

34 hrs

  Course Pricing

$238.31

  Difficulty

Intermediate

  No. of Students enrolled

5876

  Link of the Course

 CLICK HERE

Best Deep Learning Bootcamps

1. Springboard Machine Learning Career Track: Become an ML engineer in six months

This Springboard Machine Learning Career Track: Become an ML engineer in a six-month Bootcamp will prepare you for a successful career in AI/Machine Learning. The curriculum of this Bootcamp is split into 9 units, followed by a capstone project and personal career advice.

The price of this program after securing your spot or seat is $2616.12. Enrolling in this course is quite different as firstly you have to submit your application, clear the challenge, reserve your spot, and then you will join the program.

The expected complete duration of the course is 6 months, working 15 to 20 hrs per week. This AI/ML career track has 500-600 hours of content. You can also complete the course sooner than that if you have proficiency in Python and Statistics.

You will get personal mentor support, community teaching assistants, career coaches, springboard student advisors, and like-minded peers which will boost your career in the field of Machine Learning and Deep Learning.

Course Details

  Course Duration

34 hrs

  Course Pricing

$238.31

  Difficulty

Intermediate

  No. of Students enrolled

5876

  Link of the Course

 CLICK HERE

2. Full Stack Deep Learning

In this Full Stack Deep Learning Bootcamp, you will learn production level Deep Learning from Top level experts of the industry. This will help you a lot in bridging the gap from training machine learning models to deploying AI systems in the real world.

The price of this Full Stack Deep Learning Bootcamp is free.

The overall duration of the course depends on the person. This course teaches full-stack production deep learning by formulating the problem and estimating project cost, finding, cleaning, labeling, and augmenting data, troubleshooting and deploying the model at scale.

Course Details

  Course Duration

Depends on the person

  Course Pricing

Free

  Difficulty

Intermediate

  No. of Students enrolled

Unknown

  Link of the Course

 CLICK HERE

3. Machine Learning Data Science and Deep Learning with Python

This Udemy Machine Learning Data Science and Deep Learning with Python is a complete course with hands-on machine learning tutorials with data science, TensorFlow, artificial intelligence, and neural networks.

The price of this Machine Learning Data Science and Deep Learning with the Python course is $115.91. However, this course is offered for just $9.39 for a limited time. This course comes with a 30 days Money back guarantee.

This course has 12 sections in which there are 111 lectures. The overall duration of the course is 14h 14m. You can learn at your speed and requirements.

This is a very comprehensive and practical course, you will build artificial neural networks with Tensorflow and Keras. You will design and evaluate A/B tests using T-Tests and P-Values.

Course Details

  Course Duration

14h 14m

  Course Pricing

$9.39

  Difficulty

Intermediate

  No. of Students enrolled

136,581

  Link of the Course

 CLICK HERE

Best Masters/Universities for Deep Learning

1. MIT Deep Learning and Artificial Intelligence Lectures

You can visit this page for the lectures on Deep Learning, Deep Reinforcement Learning, autonomous vehicles, and AI given at MIT from 2017 to 2020.

Lex Fridman along with some research scientists will be your instructor throughout the lecture.

2. Stanford CS224n Natural Language Processing with Deep Learning

In this course, you will learn and gain knowledge of cutting-edge neural networks for NLP. Lectures will be delivered on Tuesday and Thursday at 4:30 pm Pacific Time in NVIDIA Auditorium.

There are weekly assignments that will improve your theoretical and practical skills. Assignments can have quiz and programming problems.

3. Convolutional Neural Networks for Visual Recognition

This course is a deep dive or in-depth detail of the deep learning architectures with a focus on learning end-to-end models for various tasks, particularly image classification.

The lectures will be delivered on Tuesday and Thursday from 12 pm. There are some assignments and projects to test your skills and increase your practical knowledge.

Free Deep Learning Course for beginners

1. Udacity Intro to TensorFlow for Deep Learning

This Udacity Intro to TensorFlow for Deep Learning course is a practical approach to deep learning for software engineers and developers. In this course, you will learn how to build deep learning applications with TensorFlow.

This Udacity Intro to TensorFlow for Deep Learning course is free of cost. Various quizzes and rich learning content is available in this course.

 The overall duration of this course is approximately 2 months. It requires an intermediate skill level.

This course is a path for Machine Learning Engineer Nanodegree programs by AWS. This course will enhance your skillset and boost your hireability through independent and innovative learning.

Course Details

  Course Duration

Approx. 2 Months

  Course Pricing

FREE

  Difficulty

Intermediate

  No. of Students Enrolled

Unknown

  Link of the Course

 CLICK HERE

2. Kadenze Academy Creative Applications of Deep Learning with Tensorflow

In this Creative Applications of Deep Learning with Tensorflow, you will learn about deep learning and its state of the art approach to build artificial intelligence algorithms. The course will cover all the basic components of Deep Learning such as Deep convolutional networks, generative adversarial networks, and recurrent neural networks.

This Kadenze Academy Creative Applications of Deep Learning with Tensorflow course is free of cost. This course requires an intermediate skill level.

The overall duration of the course depends on the learner as he or she can learn at his own pace. There are 5 sessions in which there are 12 hours of work per session.

This course is sponsored by Magenta and it has the following five sessions – 

1. Introduction to TensorFlow

2. Training A Network W/ Tensorflow

3. Unsupervised and Supervised Learning

4. Visualizing and Hallucinating Representations

5. Generative Models

Course Details

  Course Duration

Depends on learner

  Course Pricing

FREE

  Difficulty

Intermediate

  Course Rating

4.5 Stars

  Link of the Course

 CLICK HERE

 3. Learn TensorFlow and Deep Learning without a Ph.D

This Learn TensorFlow and Deep Learning without a Ph.D. course is offered by Google Cloud Platform. This course offers developers a quick guide and introduction to Deep Learning fundamentals with Tensorflow.

This Learn TensorFlow and Deep Learning without a Ph.D. course is free of cost. This course is presented by Martin Gormer who is Google Cloud Developer Advocate.

The overall duration of this course is 3 hours. There are following eight chapters in this course – 

1. Introduction; handwritten digits recognition (the simplest neural network)

2. Ingredients for a tasty neural network + TensorFlow basics

3. More cooking tools: multiple layers, relu, dropout, learning rate decay

4. Convolutional networks

5. Batch normalization

6. the high-level API for TensorFlow

7. Recurrent neural networks

8. Google Cloud Machine Learning platform

Course Details

  Course Duration

Approx. 3 hours

  Course Pricing

FREE

  Difficulty

Beginner

  No. of Students enrolled

Unknown

  Link of the Course

 CLICK HERE

 4. Udemy Basics of Deep Learning

In this Basics of Deep Learning course, as the name suggests, you will learn the fundamentals of Neural Network and get to know the evolution of Deep neural networks and their application in areas like image recognition, natural language processing, etc.

This Udemy Basics of Deep Learning course is free of cost. This course is created by Sunil Kumar Mishra who is an AI enthusiast, startup mentor, and an Author.

The overall duration of this course is 1 hour 46 minutes. This course is for beginners who want to know and learn about Deep Learning.

You can preview the course on the course link. The course is rated 4.3 stars by more than 10,000 students enrolled in this program.

Course Details

  Course Duration

1 hrs 46m

  Course Pricing

FREE

  Difficulty

Beginner

  No. of Students enrolled

16,711

  Link of the Course

 CLICK HERE

5. 

Google AI

You can learn with Google AI whether you are just a learner or a professional you will find useful exercises and information which will develop your skills.

There are various types of content related to Artificial Intelligence and its related technologies which are worth checking.

Course Details

  Course Duration

Depends on Learner

  Course Pricing

FREE

  Difficulty

Beginner

  No. of Students enrolled

Unknown

  Link of the Course

 CLICK HERE

Best Deep Learning Books

1. Deep Learning for Coders with Fastai and PyTorch: AI Applications without a PhD

In this book, you will dive progressively further into the world of Deep Learning and its theory to gain a complete understanding of the algorithms behind the scenes.

Jeremy Howard and Sylvain Gugger are the authors of this book. It’s a complete hands-on guide to demonstrate programmers using PyTorch and fastai.

CLICK HERE to know more or buy this book.

2. Deep Learning with Python

In this book, you will be introduced to and learn about Deep Learning using the Python language and the powerful Keras library.

Some insights of the books – 

● Deep learning from first principles.

● Setting up your deep-learning environment.

● Image-classification models.

● Deep learning for text and sequences.

● Neural style transfer, text generation, and image generation.

CLICK HERE to know more or buy this book.

3. Deep Learning (Adaptive Computation and Machine Learning Series)

In this book you will get an introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, various deep learning techniques used in industry, and the research work.

This book offers a mathematical and conceptual background covering all the relevant concepts in linear algebra, probability, information theory, numerical computation, and machine learning.

CLICK HERE to know more or buy this book.

4. Deep Learning and the Game of Go

In this book, you will learn how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI.

Max Pumperla and Kevin Ferguson are the authors of this book, they are experienced deep learning specialists skilled in the distributed system and data science.

Some of the insights of this book – 

● Build and teach a self-improving game AI

● Enhance classical game AI systems with deep learning

● Implement neural networks for deep learning

CLICK HERE to know more or buy this book.

Deep Learning Youtube Tutorials

1.  3Blue1Brown – Deep Learning

2.  Deeplearning.ai

3.  MIT Introduction to Deep Learning

Deep Learning Blog posts

1. OpenAI

2. Spinning Up in Deep RL!

3. David Silver

How to choose a good deep learning course and become a successful Deep Learning Engineer

Machine learning engineers or Deep learning engineers are becoming popular tech roles as they work on the latest technologies along with getting paid well.

Now, you already know what a Deep Learning engineer does and what skills are required to become a Deep Learning engineer. You need to have experience in the field of software engineering and development.

There are various courses mentioned in this post, you choose any one of them or more for theoretical as well as practical information. Please keep in mind that you will only understand the concepts if you do practical stuff and projects. The more you work on projects the more your understanding will increase. 

After gaining confidence in your knowledge of Deep Learning, it’s time for you to start your interview preparation. Again some courses can guide you to perform your best in any of the Machine Learning/ Deep Learning interviews. You can also do some specialization courses to get an edge over others.

There are various blog posts, tutorials, Hand-book, and courses on these posts which can help you a lot in becoming a successful Deep Learning Engineer.

The job role of a Deep Learning Engineer

Deep Learning Engineers are expected to be good knowledge of Machine learning and Deep Learning. Deep Learning Engineers use Deep Learning platforms and algorithms for performing specific tasks to advance further in Artificial Intelligence.

They are responsible for developing systems that can efficiently transfer data and write or implement various programming codes to the parts of neural networks to operate accordingly.

Deep Learning Job and Salaries

The Job Market for Machine Learning and Deep Learning engineers is ever-growing. These fields are related to Artificial Intelligence which is believed to be future technology. Every big MNC’s and even startups are looking for an experienced or well versed Deep Learning or Machine Learning Engineer.

The average salary of a Deep Learning Engineer in the US market is $182,719 (stats are from indeed .com). That’s one of the highest-paid salaries in the overall Information technology industry. 

Deep Learning Engineers are also paid well in different parts of the world. The average salary of a mid-level Deep Learning Engineer in the Indian market is around Rs 7 to 12 LPA. Remember the salary figure can depend upon the skills and the level of experience the individual has.

Conclusion

Deep Learning engineer is a respectful position in the industry. There is no shortcut to becoming a Deep Learning engineer directly. You should have the required educational qualification, a decent level of experience in the field of Software engineering and development. Having a good practical and theoretical knowledge of Deep Learning and Machine Learning is a must, you can gain it from any of the resources provided here. Salaries of the Machine learning and Deep Learning jobs in Indian markets are still higher than the market average.

If you are a Machine learning and Deep Learning enthusiast and love to explore technologies related to Artificial Intelligence then you should try for the role of Deep Learning Engineer. This would be one of the best career options and there are lots of reasons why students should take Deep Learning as one of their career options

FAQs

1. Are all the courses mentioned in these posts free?

No, these are professional courses, some of them are free while others are paid.

2. What is Deep Learning Certifications?

These are the professional certificates only provided to those professionals who have a level of experience, skills, knowledge, and passed the certification exams.

3. What does a Deep Learning Engineer do?

There are various responsibilities of the Deep Learning Engineer, some of them are demonstrating ML/DL application, collaborating with Data Engineers to design and develop models and pipelines, to analyze large and complex datasets, build and maintain scalable solutions, etc.

4. Why should I choose Deep Learning Engineer as my career option?

Deep learning engineers have a respected position in the industry. They are paid more than the market average for any other job role. The demand for Deep Learning Engineer is also increasing day by day, so it can be one of the best career options for any of the students as well as professionals.

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