The most in-demand computer courses in India include job oriented certifications, diplomas and degree credentials in computer technology. You can do these in-person or do online computer courses. The duration of these courses is generally three to six months for certification courses, one to two years for diploma courses, three to four years for bachelor's degree courses and one to two years for master's degree courses.

Here are the most popular computer courses that are in high demand in India:

1. Cyber security

Cyber security deals with identifying online threats and protecting computer systems, networks, applications and protecting data from cyberattacks. There is an increased emphasis on online security as more companies establish an online presence and conduct business transactions over the Internet. They have legitimate reasons to require high levels of protection for their business data, business communications and financial data.The field has a high demand for qualified professionals in various roles, including network security specialists, cyber security managers, cyber security analysts, information security analysts, forensic computer analysts, security architects and risk compliance officers. The computer courses can equip you with the necessary skills in network security, cyber security management, cryptography, data secrecy, incidence response, intrusion detection, cloud security and risk analysis and mitigation.

2. Data science

Data science is the process of gathering relevant information from a range of sources, organising and analysing the collected data, developing actionable insights and using these insights for broad applications. It has become a valued interdisciplinary field in various industries as insights obtained through data analysis can give businesses a competitive advantage in the market.The data science job oriented courses in computer cover programming languages like Java, C. C++, Python and R and tools like MS Excel, MySQL, TensorFlow, Keras and MongoDB. You can also learn about statistics, probability, artificial intelligence, machine learning and big data.

3. Big Data Engineering

Big data engineering is a specialised field in information technology that deals with designing, building and testing large-scale applications and systems for data processing. Courses in big data engineering cover concepts like database architecture, data warehousing, data modelling, data mining, data visualisation, statistical modelling, predictive analysis and regression analysis. You can learn Python, MySQL, NoSQL, Excel, TensorFlow, natural language processing, neural networks assignment, machine learning, big data and time series analysis.

4. Data analytics

Data analytics courses are among the most in-demand computer courses in college. The field is closely related to data science, except the focus is less on coding and programming and more on applying logical thinking and statistical techniques to data processing. The work involves extracting relevant data from an unstructured data collection and conducting research to produce structured data that companies can use for various business operations.Courses in data analytics cover topics like statistics, probability, marketing analytics, business analytics, data visualisation, artificial intelligence, machine learning and deep learning. You can also learn SQL, MySQL, Python, Ruby on Rails and MS Excel. 

5. Big data analytics

Big data analytics uses advanced analytical and statistical techniques to process massive amounts of diverse data gathered from different sources. The purpose is to uncover and understand patterns, trends and correlations and gain relevant industry insights to assist with business decision-making. The courses in big data analytics cover skills like big data, data management, data modelling, machine learning concepts, Apache Hadoop, Apache Spark and Cloudera. Coding is also essential in big data analytics, so you can benefit from learning Java, C++, Python and R.

6. Web designing

Web designing is about planning, creating and implementing attractive, relevant and user-friendly web designs for websites, web pages, interactive web applications and mobile applications. The point is to create visually appealing and functional web designs that incorporate essential website elements such as user experience, content and search engine optimisation. The demand for qualified web designers is high in different industries, given that an official online presence has become crucial for business success for most companies.Courses in web designing can cover subjects like user experience design, user interface design, responsive web design, web standards and include programming languages such as HTML, XHTML, CSS, JavaScript and jQuery.

7. Software programming

Software programming involves using various programming languages to write the code and provide relevant instructions to computers that enable them to function. It is essential to know software programming to develop software and software applications.

Some of the top software programming computer courses cover programming languages like HTML, JavaScript, CSS, PHP, Java, C, C++, Python, R, Swift, Kotlin, Go and Ruby on Rails. You can learn about object-oriented programming and develop dynamic libraries, user interfaces, system applications, operating systems, web applications, desktop applications and Internet of Things applications.

8. Software development

Software development is the process of developing software for computers, web applications and mobile applications. The software provides these devices with a set of instructions to run specified programmes. The lifecycle of a software product covers planning, coding, creating, designing, testing, troubleshooting, documenting and deploying.

9. Computer hardware engineering and networking

Computer hardware engineering and networking deal with designing, testing, monitoring, maintaining and repairing the physical components of the computer and the equipment that allow computers to interconnect and exchange information.

Courses in hardware engineering and networking cover topics like computer assembling and troubleshooting, computer networks, database administration, Windows server administration, software implementation, programming in C and computer networks.

10. Artificial intelligence and machine learning

Artificial intelligence technology deals with creating artificial intelligence systems to simulate human thinking and behaviour. By creating human-like interactions, the technology uses them to resolve complex problems, make important decisions and perform essential tasks to provide better convenience with more efficiency, no downtime and no significant cost increases.

Machine learning is a crucial subset of artificial intelligence that enables machines to learn and adapt through the data and information that they have received previously. They can then perform various tasks without being specifically programmed to do them.

Some applications that use artificial intelligence and machine learning concepts include interactive maps, search recommendations, music recommendations, shopping recommendations, facial recognition, voice recognition and smartphone assistance.

Artificial intelligence and machine learning courses include topics like deep learning, natural language processing, practical reinforcement learning, data analysis, fundamental algorithms and linear and logistic regression. You can also learn programming languages like JavaScript, Java, C++, Python, R and LISP. After completing AI and machine learning courses, you can work as an AI specialist, machine learning engineer or data science specialist.