Deep Learning is one of the areas of machine learning courses. The course is prepared in a way to provide knowledge on Tensor flow courses, natural language processing, translating of machine level languages, artificial neural networks, deep neural networks, visual art processing, toxicology, etc.
Deep learning courses focus on increasing knowledge on computer programming and machine learning. These courses help in analyzing the machine learning algorithms, with the knowledge of deep learning analyzing of unstructured data becomes easy. Deep neural networks also provide high quality results to the clients. After completing the course, candidates gain an expertise in building deep learning models and also to operate the tensor flow.
Candidates must have a UG Degree, Diploma or Certificate in Machine learning or Artificial intelligence or an engineering degree in MSc Computer Science or related field to pursue a Deep Learning course.
After post-graduation, students can also do research study in Deep learning or Deep neural networks or related fields. Students can pursue any of the following courses to learn Deep learning, like, certificate course, diploma course, under-graduate degree, master’s degree or PhD degree in Deep learning.
The syllabuses for the courses at different levels are almost similar. The higher degree or diploma courses cover more than the certificate or short term courses. Certificate courses cover only the basic topics of the subjects of Deep Learning.
After the completion of Deep Learning courses, candidates have a variety of career options to choose from like Data Analyst, Research Analyst, Software Developer, Data Engineer etc. The average salary offered to these professionals can range around INR 5,00,000 to INR 9,00,000 per annum in India.
Table of Content
1.1 Who should pursue Deep Learning Courses?
2.1 Certificate Deep Learning Syllabus
What are Deep Learning Courses?
- Deep Learning is an artificial intelligence and machine learning topic that uses artificial neural networks to operate the tensor flow and also to build the deep learning models to improve the computer algorithms.
- The course teaches how to handle large sets of unstructured data. It processes a large amount of data.
- Deep learning courses help in improving analytical performances, automation services and applications.
Who Should Pursue Deep Learning Courses?
- To pursue the Deep learning course, interested candidates must have knowledge of using programming languages and computer science or computer applications.
- Also knowledge on coding is a must to study the course.
Deep Learning Courses Syllabus
The Deep Learning courses are offered at certificate level, diploma level, undergraduate and postgraduate level. The syllabuses for each level are tabulated below in detail.
Certification in Deep Learning Courses Syllabus
| Deep learning basics | Convolutional neural networks |
| Advanced deep architectures | Deep reinforcement learning |
| Practical network training | Recurrent neural networks |
| Novel deep methods (deep image and deep internal learning) | Tools (tensor flow, pytorch) |
| Practical sessions (computer vision) | Natural language processing |
Diploma in Deep Learning Courses Syllabus
| Fundamentals of artificial intelligence | Advanced programming using Python |
| Practical machine learning | Mathematics for AI mathematics |
| Deep neural networks | Data analytics |
| Natural language processing and computer vision | AI compute platforms, applications and trend |
| Aptitude and effective communication | Project on deep learning and AI |
Bachelor in Deep Learning Courses Syllabus
| 1st Semester | 2nd Semester |
|---|---|
| Language I | Language II |
| English I | English II |
| Object oriented programming in C++ | Java Programming |
| Data structures | Internet basics lab |
| Discrete mathematics | Applied mathematics |
| 3rd Semester | 4th Semester |
| Programming in Python | Artificial intelligence and knowledge representation |
| Fuzzy logic and neural networks | R programming |
| Design and analysis of algorithms | Machine learning – Basics |
| Skill based subject : Internet of things | Skill based subject : Capstone project work (based on Deep learning and Machine learning) |
| 5th Semester | 6th Semester |
| Machine learning techniques | Natural language processing |
| Deep learning and deep learning techniques | Elective II Artificial neural networks/ fuzzy systems/ fundamental of robotics |
| Ethical hacking | Elective III Embedded systems/ open source software/ principles of secure coding |
| Elective I Software agents/ Business data analytics/ social network | Project work lab |
Master in Deep Learning Courses Syllabus
| 1st Semester | 2nd Semester |
|---|---|
| Fundamentals of data science | Machine learning I |
| Data warehousing | Big data technology |
| Artificial intelligence | Soft computing |
| Project work I | Project work II |
| Seminar I | Seminar II |
| 3rd Semester | 4th Semester |
| Machine learning | Dissertation (Major Project) |
| Big data analytics | Industrial internship |
| Deep learning and methods | |
| Dissertation | |
| Professional elective |
Deep Learning Syllabus Topics
Deep learning courses deal with many sub-fields. Some of those fields are as mentioned below that can be learned by students along with the Computer science and Machine learning courses.
Artificial Neural Networks
- ANN or Artificial Neural Networks are collections of connected artificial neurons in computer systems.
- These neural networks in computer systems are some kind of biological neural networks.
- These artificial neural networks are used to predict the outcome values.
Check: MTech Neural Networks
Deep Neural Networks (DNN)
- DNN are types of artificial neural networks which consist of neurons, biases, synapses, weights etc.
- These types of neural networks have multiple layers in between the input and output layers.
Check: Tensorflow Courses in India
Natural Language Processing
- Natural language processing is a part of the linguistic section under computer science programming.
- The natural language processing system helps the computers to read and understand spoken and written languages the same way as humans.
Check: Coursera AI Course
Automatic Speech Recognition
- Automatic speech recognition allows humans to speak in the way a computer interface can recognize.
- The course is offered at bachelor level degree course, diploma courses and master degree level courses.
- This topic is covered under the computer science and Engineering courses.
Deep Learning Courses Admission Process
The admission criteria is different in different colleges for Deep Learning Courses. Some conduct entrance exams and interview sessions and in some colleges admission is based on the marks of previous qualifying examinations.
Check: Artificial Intelligence Training in India
Deep Learning Courses Eligibility Criteria
- After 10th, candidates who have opted for science stream with Physics, Chemistry, Mathematics and Computer Science or Application as main subjects in their +2 can pursue Deep Learning courses.
- And to pursue the higher degree like, Masters’ or PhD degree, the candidates must have the pass certificate and mark sheet of Bachelor degree.
Deep Learning Entrance Exams Syllabus
The syllabus for the entrance exams of Deep Learning Courses might be different. Some universities conduct a common entrance test for the different courses at the university. The entrance examination covers the following topics.
- Physics
- Chemistry
- Mathematics
- General Aptitude Test
- English
Check: Data Science Courses
Deep Learning Syllabus College Wise
Here is the tabulation of syllabus for the deep learning courses in some of the top Indian colleges.
Anna University Deep Learning Courses Syllabus
The syllabus of Deep Learning Courses offered at Anna University is provided below:
| Basics of neural networks | Convolutional neural networks |
| Applications of deep learning | Computing techniques |
| Programming and data structures | Object oriented programing |
| Design and analysis of algorithms | Operating systems |
| Data communication and computer networks | Embedded system design |
| Digital signal processing | Machine learning techniques |
| Security in computing | Project work |
Lovely Professional University Deep Learning Courses Syllabus
The syllabus of Deep Learning Courses offered at Lovely Professional University is provided below:
| Deep learning | Programming language |
| Computer programming | Mathematical for engineers |
| Digital electronics | Engineering graphics |
| Data structure and algorithms | Python project |
| Algorithms | Automata |
| Computer networks | Operating systems |
| Probability and statistics | SQL and visualization |
| Machine learning I | Natural language processing |
| Big data analytics | Machine learning II |
Career Prospects of Deep Learning Courses
- The deep learning graduates or learners have a great future.
- Many organizations hire the deep learning graduates as Research Analyst, Data Engineer, Software Developer, Data Analyst, etc. and get a pay around INR 5,00,000 to INR 9,00,000 annually.
- After learning the course, there is a great value of the graduates in the machine learning or software development companies.
Deep Learning Syllabus FAQs
Ques. What is the eligibility to learn Deep learning Syllabus?
Ans. You must have to pass the 10+2 level exam with Physics, Chemistry, Mathematics and Computer Science as main subjects to learn the Deep Learning Syllabus.
Ques. Can I do a Diploma course in Deep Learning?
Ans. Yes. After the 10+2 exam, you can pursue the Diploma course in Deep Learning.
Ques. How much will it cost to learn the Deep Learning Syllabus?
Ans. It may cost INR 12,000 to learn the certificate course in deep learning syllabus. And for the diploma and degree courses, it may cost INR 50,000 to 2,50,000 in India.
Ques. Which online course providers are best for the deep learning course syllabus?
Ans. Coursera, Udemy, Simplilearn, and edX are providing the best courses to the deep learning students.
Ques. What are the scopes after learning the Deep Learning Syllabus?
Ans. A deep learning or machine learning or artificial intelligence learner can get opportunities in various software companies. Their salary package in those companies is more than INR 3,00,000 annually at the starting level. And the top level workers are getting INR 6,00,000 to INR 12,00,000 per annum.
Ques. Which companies hire deep learning graduates?
Ans. Top machine learning or deep learning companies in India are- Trigma, Codewave technologies, Talentica software, Spec India, XenonStack, Accubits technologies Inc. etc. hire fresh graduates and experienced personnel for their company.
Ques. What is the importance of a Deep Learning course?
Ans. Deep learning courses help in learning to handle an ample amount of data and even the data which are unstructured, multi-dimensional and multi-variety data.
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