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Bachelor of Technology in Artificial Intelligence or B.Tech Artificial Intelligence is a 4-year undergraduate degree program, which is offered under the Engineering stream. Artificial Intelligence is teaching a machine the ability to solve problems using complex algorithms which human beings solve using their natural intelligence. In short, Artificial Intelligence is engineering and science, which enables a machine or a computer to carry out tasks without much human intervention.

In the Artificial Intelligence undergraduate degree program, the students are taught about the languages understood by machines or computers through which humans can interact with them to be able to make them perform some tasks. Languages like JAVA, Prolog, Lisp, R, and Python are some of the common machine languages taught to the students during their B. Tech degree study.

Career Opportunities in Artificial Intelligence

1. Big Data Engineer

The role of a Big Data Engineer is to create an ecosystem for the business systems to interact efficiently. Their primary task is to build and effectively administer the big data of an organization. They also have to carry out the function of obtaining outcomes from big data in a robust manner.

Being a big data engineer will fetch you a good salary when compared to other AI roles. In Spark and Hadoop systems, a big data engineer deals with preparing, managing, and establishing a big data environment. The role is suitable for those who are keen to play with new technical tools and can step above the relational database box.

Programming languages like Python, R, and Java are essential in building your career in AI as a big data engineer. Skills related to SQL and Apache Spark enhance your chances of grabbing the relevant career opportunity. Aspirants should have some proper insights on data migration along with data visualization and mining.

Applicants who have a Ph.D. in the field of Computer Science or Mathematics are given more preferences. It is quite evident that one can flourish in their career in AI by being a Big Data Engineer. You can also check out Upgrad’s AI courses to inch closer to your AI career goal.

2. Business Intelligence Developer

The primary responsibility of a Business Intelligence Developer is to consider the business acumen along with AI. They recognize different business trends by assessing complicated data sets. They help in swelling the profits of a company by preparing, developing, and nourishing business intelligence solutions.

Business profitability and efficiency are the two significant factors of development considered by them. They also assist in optimizing different processes and workflow across the organization. Their demands have intensified recently due to their capabilities in dealing with complicated data of cloud-based platforms.

Sound knowledge of SQL servers and queries along with data warehouse designing is needed while pursuing this career option. The role also pays quite well and their demands won’t diminish in the near future. This makes it one of the major AI career opportunities.

3. Machine Learning Engineer

Machine learning engineers are involved in building and maintaining self-running software that facilitates machine learning initiatives. They are in continuous demand by the companies and their position rarely remains vacant. They work with huge chunks of data and possess extraordinary data management traits.

Artificial Intelligence and Future Job Prospects:

Artificial intelligence describes computing to mimic human behaviors and complete human tasks. AI technologies are progressive; they aim to improve people’s lives. Examples include surgical robots, wildfire-monitoring drones, and naturally speaking artificial personal assistants.

Experts predict the global AI software market will be worth $126 billion by 2025. A 2019 Gartner survey indicates 37% of business enterprises already implement AI in their workplaces.

Industries that benefit from AI now and will benefit from AI in the future include:

Cybersecurity - AI technologies can improve threat detections, mitigate and prevent cybercrimes.

Healthcare - Healthcare practitioners use AI to detect and diagnose diseases (e.g. cancers, respiratory diseases) and perform surgeries (with robotic arms).

Business Intelligence - Businesses employ AI and big data to extract meaningful insights about their performance metrics.

Information Technology (IT) and Cloud Computing - Cloud computing enables specialists like data scientists and AI-product developers to run demanding AI learning models (e.g. deep neural networks for humanized robots).

Transportation - Self-driving cars use AI technologies like computer vision to “see” and safely navigate their surroundings.

Manufacturing - Businesses use AI to assemble factory equipment.

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