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The concept of Deep Learning has started gaining popularity when Google's deep learning algorithm AlphaGo reigned Lee Sedol, one of the highest-ranking Go players in the world. Deep Learning is a subset of a broader family of machine learning, which is an artificial neural network with multiple layers. Deep Learning significantly attempts to imitate the human brain to process troves of data and make predictions with accuracy. Studying Deep Learning covers topics like the basics of neural networks, convolutional neural networks and recurrent neural networks.
There are many Deep Learning courses online or offline available at the UG, PG, doctorate, diploma and PG diploma levels. There are also numerous Deep Learning certification courses offered by top institutes for free or at a few costs.
Some of the deep learning courses are:
- B.Tech in Data Science (Machine Learning, Deep Learning and Artificial Intelligence)
- B.Tech in Computer Science with AI, ML and Deep Learning
- B.Tech in Computer Engineering with AI, Machine Learning and Deep Learning
- MTech/ MCA in Computer & Information Sciences
- MTech in Computer Science and Engineering
- PhD in Machine Learning
- PhD in Computer Science Engineering
- Advanced Diploma in AI, Deep Learning and Machine Learning
After completing Deep Learning courses online or on-campus, candidates can explore various opportunities in the government and private IT sectors. They can find job options like Deep Learning Engineer, Software Engineer, Data Scientist, Data Analyst, Data Engineer, etc.
What is Deep Learning?
As a subset of machine learning, Deep Learning is also known as deep structured learning. It mimics the human brain using a combination of data inputs, weights, and biases. By working together, these elements accurately identify, classify, and describe objects within the data. Today, Deep Learning has numerous real-world applications in financial services, law enforcement, customer service, and healthcare.
Who Can Pursue Deep Learning Courses?
Anyone interested in learning the fundamentals of Machine Learning algorithms and Deep Learning can pursue Deep Learning courses. Professionals, academicians, and researchers can also apply for these courses to enhance their knowledge and skills in this revolutionary technology. Candidates with a background in computer application or IT and having good knowledge of computer programming may find Deep Learning courses more relatable.
Eligibility Criteria for Deep Learning Courses
- As different Deep Learning courses have different requirements, the minimum eligibility is 10+2.
- For undergraduate courses, candidates must have passed class 12th in the science stream with a minimum aggregate of 50% marks from a recognised board.
- Institutes provide admissions to UG Deep Learning courses based on entrance exams such as JEE Main, SUAT, LPU NEST, etc.
- For postgraduate courses, candidates should hold a bachelor’s degree in Computer Science Engineering with Deep Learning, Machine Learning or a relevant subject with 55% marks from a recognised college/university.
- Aspirants need to appear and qualify for entrance exams for PG Deep Learning courses, including GATE and MSRUAS CET.
- After a master’s degree in Deep Learning, candidates can go for PhD programmes in this field.
Skills Required for Deep Learning Courses
- Strong Mathematics
- Critical Thinking
- Communication skills
- Basic Knowledge of Programming Language
What Will You Learn in Deep Learning Courses?
- Pursuing online Deep Learning courses and certifications will teach you about various topics, including AI and programming tools, neural networks, machine learning, and data structures and algorithms, among others.
- Deep Learning courses also teach you about computer security, cryptography, data-intensive computing, robotics, etc.
- The courses will help you gain an understanding of using Python to create ANN Networks, interpreting sequential modelling and neural networking, and exploiting Deep Learning Tools such as Digit classifier and TensorFlow.
- Deep Learning courses also equip you with the skills essential to get a good opportunity in your specialised area.
Popular Deep Learning Certification Courses
These are the online Deep Learning courses with certificates that provide learners with the foundations of Deep Learning and Neural Networks. By enrolling in Deep Learning certification courses, they will see real-time case studies and understand the applications of Deep Learning. The duration and fees of these courses vary depending on the provider institutions.
Here’s the list of the best Deep Learning certification courses:
FORE School of Management, Delhi via Education Lanes
IIT Ropar via Swayam
IIT Kharagpur via Swayam
IBM via Coursera
IIT Kharagpur via Swayam
IBM via Edx
The University of Queensland, Brisbane via Edx
Manipal Academy of Higher Education, Manipal via Jigsaw Academy, and Manipal Prolearn
National Research University Higher School of Economics via Coursera
Career Options in Deep Learning
As a career, Deep Learning is a good opportunity for individuals who want to kickstart a career in the IT field. There are plenty of job opportunities available after completing online Deep Learning courses and certifications. You can get into both private and government IT sectors.
Below are some of the fascinating job roles you can explore in Deep Learning:
- Deep Learning Engineer
- NLP Engineer
- Data Engineer
- Data Scientist
- Research Analyst
- Software Engineer
Deep Learning Salary Trends
The salary of a Deep Learning professional can vary based on several factors such as educational qualifications, skill set, employment type, employer, and work experience. According to PayScale, the average salary of a professional with Deep Learning skills in India is INR 911,037/ year.
Salary as per the job profiles:
Average Base Pay (annually)
Machine Learning Engineer
Computer Vision Engineer
Scope of Deep Learning
Although Deep Learning is in its infancy, it is already revolutionizing distinct industries and functions, from medical devices to autonomous driving and image and fingerprint recognition. Deep Learning techniques significantly assist in processing and assessing big data through systematic programming, disciplines, and codes in order to deliver insights and inferences. This also helps develop patterns and trends and various other applications in several fields.
Today, Deep Learning has become an attractive career choice among students. It opens various job options from startups to MNCs and large companies in both the private and public sectors.
Top Recruiters for Deep Learning Professionals
Q: Where can I get online Deep Learning courses?
A: You can pursue online Deep Learning courses from IBM, Udemy, Harvard University, and Purdue University and build a career in this evolving field.
Q: Can I learn Deep Learning courses free?
A: Many institutes like MIT, IBM, Harvard University, and Purdue University offer free Deep Learning courses and certifications with access to rich course materials.
Q: Is it worth pursuing Deep Learning certification courses?
A: Once you complete Deep Learning certification courses, you will have plenty of job opportunities in the IT sector.
Q: What are the requirements to pursue Deep Learning courses?
A: To pursue deep learning courses online or on-campus, you must have passed 10+2. For higher courses, you should hold a BSc/BTech degree with 55% or above from a recognized college/university.
Q: How much does it cost to complete online Deep Learning courses?
A: The fees of online Deep Learning courses and certification will depend on the course provider institute. Some Deep Learning courses are also available for free to access with some cost for the certificate.
Q: How much can I earn after Deep Learning courses?
A: Pursuing Deep Learning courses have various career prospects with attractive salary potential. As a Deep Learning Engineer, you can earn an average salary of INR 744,864/ year in India.