Deep Learning Courses & Certifications Online

Deep learning is all set to mark it digital impact across different domains and the job prospects are bright. As per a research by MarketsandMarkets, Artificial Intelligence, Machine Learning, and deep learning market is expected to grow to USD 11.4 billion by 2023.

For most of computing history, computers have been programmed with a set of coded rules to compute and make decisions. The progress powered by improvement in abstractions, hardware, and frameworks. That changes with Deep learning where computers can “learn” from the input data. For example, chatbots like Cortana and virtual assistants like Alexa are able to “understand” our questions and generate relevant answers thanks to the processing of high volumes of data, be it text data or voice recordings through machine learning.

These chatbots and virtual assistants use machine learning techniques to encode learning into mathematical models and make data predictions. The next level advancement in machine learning is Deep Learning, based on very deep and complex artificial neural networks that work towards emulating the human brain’s learning abilities to make the most accurate data predictions. 

Definition - Deep Learning

Deep Learning is a subset of Artificial Intelligence. It carries out machine learning techniques and teaches logical functioning to computers using an artificial neural network composed of a number of levels arranged in a hierarchy. Since deep learning involves going deep into several layers of network, thus the name.

Learn more about the topic – What Is Deep Learning?

Deep Learning Courses Eligibility

Statistics and Math are the building blocks of deep learning, while the knowledge of programming would help you to understand the advanced concepts and topics of deep learning. Considering this, you must have a basic knowledge of complex math such as calculus, statistics, probability and linear algebra, and have a working knowledge of programming and programming languages, preferably Python.

You should have an undergraduate or a postgraduate degree in a relevant discipline, such as Mathematics, Statistics, Computer science, Information Management, etc. Some of the popular postgraduate qualifications are offered in subjects including Data Science, Business Analytics, Data Analytics, and Big Data, among others. Some deep learning roles may require prior experience in data science or artificial intelligence-specific roles.

How to Become a Deep Learning Engineer?

Deep learning is a very niche skill. To become a deep learning engineer, you should –

1. Brush up your basic concepts of Math and Statistics, and learn linear algebra and basic calculus like functions, limits, differentiation, maxima, minima, etc. 
2. Learn about the basics of Natural Language Processing, Information Extraction, Computer Vision, Bioinformatics, Speech Processing, Optimization, Calculus, Information Theory and Decision Theory, etc.
3. Learn to make smart decisions based on your data findings 
4. Learn about data structures, database design, data mining, distributed architecture, security applications, and applied systems analysis
5. Develop a good command over programming languages like Python, R, Matlab, Julia and C++ 
6. Take up deep learning courses or projects

Top Online Deep Learning Courses

1. Deep Learning Nanodegree Program by UDACITY
2. Neural Networks and Deep Learning by Coursera
3. Deep Learning for Business by Coursera
4. Deep Learning - Advanced Computer Vision (GANs, SSD, +More!) by UDEMY
5. AI Capstone Project with Deep Learning by Coursera
6. Deep Learning for Computer Vision by NPTEL 
7. Deep Learning Specialization by Coursera
8. Applied AI with DeepLearning by Coursera
9. Deep Learning A-Z - Hands-On Artificial Neural Networks by UDEMY
10. Deep Learning by NPTEL 

These deep learning courses would help you to learn the concepts, tools, and the intricacies of computer vision, natural language processing, neural networks, etc. Since deep learning has a high learning curve and offers an emerging market ahead, learning this skill can be very fruitful in future.

Deep Learning Skills

To start a career in deep learning, you should have the knowledge of –

1. Programming languages (preferably Python/R) 
2. Statistical methods
3. Python libraries like scikit-learn, pytorch
4. Machine learning frameworks 
5. Hadoop & MapReduce 
6. Application Programming Interfaces (API) 
7. Data mining, cleaning and munging 
8. Data visualization and reporting techniques

Deep Learning Tools 

Data analytics and visualization tools

1. Tableau – A visual analytics platform for powerful data exploration and interactive visualization
2. Pandas – An open source data analysis and manipulation tool 
3. Matplotlib - Python machine learning library for creating static, animated, and interactive visualizations 
4. Jupyter notebook – An open-source web application to create and share documents 

Frameworks for general machine learning

1. NumPy - An extension package for scientific computing with Python
2. scikit-learn - A machine learning framework for predictive data analysis
3. Natural Language Toolkit (NLTK) - Python-based human language data processing platform

Frameworks for neural network modeling

1. TensorFlow – An open source platform for machine learning
2. TensorBoard – A tool for measurements and visualizations in a machine learning workflow
3. PyTorch - A library for Python programs to help build deep learning projects
4. Keras – A lightweight, easy-to-use library for fast prototyping
5. Caffe2 – A deep learning framework with mobile deployment support 

Big data tools

1. Apache Spark – A unified analytics engine for big data processing
2. MemSQL – A relational database management system with a SQL interface 
3. Weka – A collection of machine learning algorithms used in data mining 

Career Outlook - Deep Learning

Machine learning and deep learning technologies are being embraced by organizations of all sizes to enhance their products and services. Job opportunities are available across different sectors like internet technologies, software, cybersecurity, electronics, automobile, BFSI, security and defense, medical and manufacturing, among others. 

Advance your career by learning deep learning technologies based on neural networks and how to implement them using frameworks like pytorch and tensorflow. Shiksha Online can help you discover the right course from top platforms and universities including Coursera, Edx, Udacity, NPTEL, MIT, Harvard, IITs, and IIMs. Compare prices, curriculum, projects, and reviews to choose the best course.