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How to start a career in Artificial Intelligence?

by Team Goseeko

Artificial Intelligence or AI career opportunities have emerged rapidly in almost every industry. Due to its ever-increasing demand, AI has created tons of job opportunities and a promising career. In this article, we will discuss how one can start their career in the field of Artificial Intelligence. Before that let’s see what exactly the term Artificial Intelligence is with few real-life examples.

Defining Artificial Intelligence with examples

Artificial Intelligence is a branch of computer technology that focuses on creating intelligent machines that can perform tasks that are usually done by humans. Here, such machines are made in such a way that they mimic human behaviour, that can behave like a human, think like a human, and are also capable of decision making. Artificial Intelligent machines are made to analyse and learn human behaviour patterns and adapt according to the tasks that the machine has to perform.

We humans deal with AI machines every now and then without actually noticing them. Following are some real-life examples where AI is being used on daily basis:

  1. Face Detection and Recognition
  2. Text Editors or Auto-correct
  3. Search and Recommendations
  4. Self-driving cars
  5. Google Maps and Ride-Hailing applications (like Uber, Ola Cabs, Meru Cabs, etc.)
  6. Electronic Payments
face detection and recognition
Face Detection and Recognition

The basic objective of AI is to enable computers or machines to perform intelligent tasks so as to minimize human efforts.

Educational Requirements

Aspirants with computer technology and math background form the basic foundation of most artificial intelligence programmes. At least a bachelor’s degree in mathematics, computers or information technology is enough for entry-level jobs in AI.

Aspirants should first strive for BE/BTech in Computer Engineering, BE/BTech in Information Technology or Diploma in Computer Science/IT or other related fields. If a degree program is what you are looking for, then seek that degree that offers specific majors in artificial intelligence, or pursue AI specialization with majors like computer/information technology, or engineering. Students should pursue education with subjects related to math, technology logic and engineering perspective.

A college degree is not just the qualification required in building a career in artificial intelligence. With the advancement of the internet, there are enormous resources where students can gain additional skills and knowledge in AI. It is possible to learn almost anything from home.

Some of the top-notch companies like Google, Apple, Amazon, just don’t rely on college degrees. They are always in search of those candidates who are passionate, self-driven and are eager to take initiatives.

self driving car
Self-Driving Car Technology

Building a Career in Artificial Intelligence

As a fresher –

One should get a bachelor’s degree in one of the following streams – Computer Science, Information Technology, Mathematics and Statistics, Data Science, or related fields. Apart from a bachelor’s degree, one must be talented in analytical skills, problem-solving skills, critical thinking, good industry knowledge and effective communication skills. There are many online and offline courses to achieve this or take up a master’s degree. (More about AI courses is mentioned below)

A master’s degree –

If anyone is looking for leadership roles, then go for a Master’s degree or PhD. A Master’s degree will provide advanced education in the field of computer science and information technology along with specialization in artificial intelligence. The Master’s degree in artificial intelligence will offer one of the best possible starts in the career of AI. Such programmes focus on developing professionals who become experts in solving real-life problems and application domains.

As a working professional –

For a working professional in the IT sector, it is important to polish technical skills. To enter into the AI field or to become an AI engineer, one needs to learn the latest skills and technological trends. In this field, along with theoretical understanding, people have a great grasp of practical knowledge. Additionally, certification courses will provide strong support while seeking jobs in AI. Few of the AI certification courses are – Foundation of AI, Machine Learning Guide, Data Analysis with Python/R, and other courses too. (More about AI certification courses – later in this blog)

Artificial Intelligence is a broad concept. There are many subfields in the AI field. There are several specific AI careers where one can focus on.

  • If anyone’s interested in handling and managing data, then they can become a Big Data Engineer or Data Scientist.
  • If some are interested in algorithms, then Machine Learning Engineer is what they might be interested in.
  • Those who are problem-solvers who plan, develop, test different models of Artificial Intelligence can become AI Engineers.
  • Along with technological aspects, when someone is also business-minded, then Business Intelligence Developer might be their career path.
  • There are many other career paths where one can target to become, such as Research Scientist, Robotics, Deep Learning, Computer Vision, Natural Language Processing, Cloud Computing, etc.
big data

AI Certification Courses

Depending upon their career path and interest, aspirants should strive to develop their skills in those specific areas. Following are the list of a few AI certification courses:

  1. Foundation of AI
  2. Computer Science for Artificial Intelligence
  3. Deep Learning and Computer Vision
  4. Machine Learning Guide
  5. Machine Learning with TensorFlow APIs
  6. AI and Cloud Computing implementation strategies
  7. Google AI courses
  8. Data Analysis with Python/R

AI certification courses are key along with degree education, as it bridges the gap between the candidates and industry requirements. Such additional courses bring both of them together.

Technical skills required:

  • Programming languages like Python, R, Java and C++ are important
  • Hadoop, SAS, SQL, Spark and Big Data technologies are key
  • Knowledge of data structures and algorithms
  • NLP – Natural Language Processing. It is an important sub-field of AI that enables computers to understand and process human languages.
  • Neural Network Architectures
  • Machine Learning and Deep Learning
  • Robotics
  • Mathematics, Statistics, Probability, Logic, Linear Algebra, Calculus

Non-technical skills required:

  • Industry Knowledge
  • Communication skills
  • Problem-solving approach
  • Critical Thinking
smart home technology
Smart Home Technology


We are living in a technological world. Everything is so fast-paced nowadays, and so is the education industry. Surely AI is one of the top demanding careers not only in India but all around the world. Thus with the right career guidance, one can flourish with bright colours in the AI field.

As there are many courses available online, it’s pretty normal to get confused about which courses to choose. Narrow down your search by asking seniors or mentors regarding industry demands and requirements. But the problem here is, not everyone has access to seniors or mentors with whom they can know more about their career path in AI. That’s where Goseeko comes into the picture! 

Goseeko is an online educational platform dedicated to providing the right study materials for students seeking higher education like Computer Engineering or IT Engineering. We guide students from their university to their career. Engineering fields such as Computer and IT is what the first requirement for pursuing a career in AI. We provide dedicated study material for such courses.

What makes Goseeko unique is that we provide students specific topic-wise notes that are as per the university/college syllabus. We have subject matters experts for the creation of video lectures to help students with their exam preparations. We provide Study Notes, Video Lectures made by expert college professors, MCQ’s, Question Banks and more.

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