Artificial Intelligence Courses are a branch of computer science that creates or uses algorithms to create a stimulating computing environment or machine that can mimic the human mind's problem-solving ability.

Artificial Intelligence Courses Online are available in India on platforms such as Coursera, Uncodemy, Udemy, edX, and others. Among these, Coursera AI Course and Google AI Course are the most commonly chosen AI Certifications by students and professionals due to their short time span and low cost.

Students must have chosen a Science stream after 10th grade and completed their +2 with Mathematics and Physics as core subjects to be eligible for the Artificial Intelligence course.

After completing their 12th grade, students can enrol in a variety of Artificial Intelligence Courses in India, most of which are offered in conjunction with Computer Science. BTech in Artificial Intelligence and MTech in Artificial Intelligence are two of the best courses to learn the practical skills and knowledge of Artificial Intelligence or AI.

Admission to Certificate and Diploma Artificial Intelligence programmes is typically granted on a first-come, first-served basis or on the basis of previous examination performance. Admission to UG and PG Artificial Intelligence Courses, on the other hand, requires valid JEE Main or GATE scores.

Artificial Intelligence courses have a wide range of applications in industries such as Machine Learning, Robotics, and Programming, and for job profiles such as Software Engineer, AI Researcher, Game Programmer, Business Intelligence Developer, and many more, and these professionals are recruited by companies such as Amazon, TCS, Samsung, Flipkart, and others.

According to Glassdoor, the average salary earned after completing Artificial Intelligence courses in India is INR 9,03,650 per year.

What exactly is Artificial Intelligence (AI)?

The most basic definition of Artificial Intelligence Course is an intelligent entity created by humans that is capable of performing tasks without being explicitly instructed, as well as thinking and acting rationally and humanly.

  • Artificial intelligence employs computers and machines to replicate the human mind's problem-solving and decision-making processes.
  • To solve complex problems, artificial intelligence combines robust datasets and computer science.
  • It also includes certain machine learning subfields, as well as deep learning, which are frequently mentioned in conjunction with Artificial Intelligence.

Check out: Best Artificial Intelligence Training Institute in Noida

Who Is Capable of Pursuing Artificial Intelligence?

  • Artificial intelligence necessitates a solid understanding of coding languages such as Python, machine learning algorithms, natural language processing, and so on.
  • Students enrolled in artificial intelligence-related courses such as BTech Artificial Intelligence, BTech in Computer Science-Artificial Intelligence & Machine Learning, MTech (Artificial Intelligence), and so on.
  • Candidates who want to work as a data analyst or data scientist should take an artificial intelligence course.
  • Students who are interested in programming, algorithms, and frameworks should take an Artificial Intelligence course. Students must be patient because this is a developing field where breakthroughs can be difficult to come by.
  • This course necessitates that students have a solid understanding of mathematics. Students who excel in mathematics should definitely pursue Artificial Intelligence.

Why Study Artificial Intelligence?

Analysts are typically hired with a degree in artificial intelligence. According to Analytics India Magazine, India accounts for approximately 6% of all data analyst and scientist job openings worldwide. According to the magazine, there are 97,000 jobs in India related to artificial intelligence.

  • After completing Artificial Intelligence courses in India, the average starting salary is around INR 13,00,000 per year, rising to INR 30,00,000 - INR 40,00,000 with experience.
  • According to the Hindustan Times, AI has the potential to add USD 900 billion to India's GDP by 2035.
  • NITI AYOG has prioritised AI for All, which will aid in the integration of Artificial Intelligence into all fields of work, including agriculture, education, and business.

Artificial Intelligence Related Fields

Machine Learning is a subset of Artificial Intelligence in which machine learning algorithms build a model using sample or training data. They also contribute to the development of computer programmes that learn by analysing data.

Deep learning is a branch of machine learning, which is a branch of artificial intelligence, which is a branch of computer science.

  • The "depth" of deep learning refers to the complexity of a mathematical model, and thanks to modern computers' increased computing power, researchers have been able to increase this complexity to levels that appear not only quantitatively but also qualitatively different from before.
  • As you may have noticed, science frequently involves a number of increasingly specialised subfields, subfields of subfields, and so on.
  • This enables researchers to focus in on a specific topic, allowing them to catch up with the ever-increasing amount of knowledge accumulated over time, produce new knowledge on the topic, or, in some cases, correct earlier knowledge to be more accurate

Data science is a relatively new umbrella term (a term that includes several subdisciplines) that includes machine learning and statistics, as well as aspects of computer science such as algorithms, data storage, and web application development.

  • Data science is also a practical discipline that requires knowledge of the domain in which it is used, such as business or science: its purpose (what "added value" entails), basic assumptions, and constraints.
  • AI is frequently incorporated into data science solutions (but usually not as much as one would expect from the headlines).

Robotics is the science of designing and programming robots to perform complex, real-world tasks.

  • Robotics is the ultimate AI challenge in some ways because it necessitates the integration of nearly all areas of AI.
  • Using computer vision and speech recognition to sense the environment
  • Natural language processing, information retrieval, and reasoning under uncertainty are used to process instructions and predict the outcomes of potential actions.
  • For interacting and collaborating with humans, cognitive modelling and affective computing (systems that respond to human emotional expressions or mimic feelings) are used.

Check out: Future Of Artificial Intelligence

Top Artificial Intelligence-Use Sectors

AI is used in almost all sectors, whether private or public, but in some jobs, AI is essentially an integral part of the sector. Here are some of the industries that make extensive use of AI techniques.

IT Support

The IT sector in India has the largest share of the AI market, accounting for 41% of the AI market in India. The market value is estimated to be around USD 2625 million. In India, the most prominent users of artificial intelligence are Wipro, TCS, Tech Mahindra, and MNCs such as Accenture and Capgemini.

Sector of Technology

The technology sector is made up of two components: software and hardware. The contribution of the Technology sector accounts for a 23.3 percent market share and a market value of USD 1,488 million. To name a few technology segments, this sector includes software, cloud computing, semiconductors, database technologies, server platforms, and networking solutions.

Financial Services Industry (BFSI)

The BFSI sector contributes USD 615.3 Mn in market value and 9.6 percent in market share to Artificial Intelligence. Firms in the BFSI sector were among the first to use Data Science services to gain consumer insights. BFSI firms use artificial intelligence to gain a competitive advantage, drive efficiencies, and improve customer experience. Robotics and Natural Language Processing (NLP) are used to improve on-demand customer satisfaction and experience.

Sector of Industry

The Engineering and Industrial sector accounts for approximately USD 382.9 million in market value and accounts for approximately 6% of market share. The Engineering and Industrial sector includes both international and domestic companies that use AI and Deep Science models in their Engineering, Manufacturing, and Automation services. Artificial intelligence is used in design, simulation, quality analysis, and maintenance. AI in infrastructure, in conjunction with IoT and 5G connectivity, makes it easier to develop solutions for smart cities and smart utilities.


The eCommerce and Retail sector as a whole contributes USD 317.8 million in market value and 5.0 percent of market share. AI's contribution to this broad sector is significant, and it will continue to grow over the next decade. For the eCommerce and retail sectors, AI is useful across the entire supply chain. Artificial intelligence is used in all sectors, including procurement, classification, quality maintenance, billing and payments, logistics tracking, delivery, and even managing and tracking customer feedback and complaints.

Courses in Artificial Intelligence of Various Types

There are various types of AI courses; we have compiled a list of the most popular ones. There are numerous AI courses, diploma courses, and degree courses available both online and offline. We've gone over each one in depth here.

Course in Artificial Intelligence Online

Artificial intelligence certification is essentially a series of short-term artificial intelligence courses that provide foundation and advanced level skills in artificial intelligence technologies.

Online artificial intelligence certification is available. The majority of artificial intelligence certification courses are provided by IBM and Uncodemy in collaboration with Coursera and edX, while Google offers an Applied AI course.