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    How to Make a Career in the Field of Artificial Intelligence

    Edited By Team Careers360 | Updated on Sep 25, 2023 06:09 PM IST | #Artificial Intelligence

    Artificial Intelligence refers to the working of machines functions as Human Beings. Technologies like Alexa, and Google Assistant, are all works of Artificial Intelligence. The face unlock feature in mobile phones is also the art of Artificial Intelligence. If you are wondering how to make a career in Artificial Intelligence, then you must know that Artificial Intelligence has come off as an excellent field for people to study as a career field. The artificial intelligence certification courses alone can make you an expert in this field. Thus there is a shortage of technologies and human resources in the field of Artificial Intelligence.

    How to Make a Career in the Field of Artificial Intelligence
    How to Make a Career in the Field of Artificial Intelligence

    Artificial Intelligence has complete applications in all fields and firms, whether related to banking or a hospital, therefore if you are wondering how to make a career in Artificial Intelligence, then read this article. In this article, Careers360 talks about how to make a career in Artificial Intelligence and Remote sensing, medical diagnosis, and robot control systems are some of the wide range of Artificial Intelligence applications. You can also explore the free artificial intelligence certification courses online.

    How to Make a Career in Artificial Intelligence?

    One must think of the steps to how to make a career in Artificial Intelligence, therefore, as the data suggests, Artificial Intelligence is the next big thing of the coming generation. So, answers to questions like what are the ways to make a career in Artificial Intelligence become easier.

    Here is a step-by-step guide to making a career in Artificial Intelligence:

    Step 1: Get a Bachelor’s Degree

    Before starting your career in the field of Artificial Intelligence, one needs to have an undergraduate degree in one of the following fields-

    • Mathematics
    • Computer Science
    • Information Technology
    • Statistics

    The most preferred field is Computer Science and then Statistics.

    Step 2: Hone your Technical Skills

    In technical skills, programming in almost every language is required. Python is the most required language in this field.

    Programming Languages (R, Java, Python, and C++)-

    Learning to code is fundamental to Artificial Intelligence. They should know several programming languages such as R, Java, Python, and C++. Having hands-on multiple programming languages is always an added advantage.

    i) Introduction Programming in C on Coursera

    Such artificial intelligence certification courses help to clear all the basics of C programming. At the end of such online artificial intelligence courses, you will master this language and solve complex problems. Such online artificial intelligence courses will also guide you to develop algorithms and read and write C code for implementation.

    Such online artificial intelligence courses are available on Coursera and are offered by Duke University.


    • Programming Fundamentals

    • Writing, Running, and Fixing Code in C

    • Pointers, Arrays, and Recursion

    • Interacting with the System and Managing Memory

    Duration- You can complete this course in approximately five months.

    ii) Python for Everybody on Coursera

    One of the best artificial intelligence certification courses, such artificial intelligence certificate courses will sharpen your skills in Python language. One can also take up such artificial intelligence certificate courses if they have no prior knowledge of the Python language. You will learn the basics of Python language with programming and tools. Python language helps a lot in an Artificial Intelligence career.

    Such artificial intelligence certificate courses are available on Coursera and are offered by the University of Michigan.


    • Getting Started with Python

    • Python Data Structures

    • Using Python to Access Web Data

    • Using Databases with Python

    • Capstone: Retrieving, Processing, and Visualizing Data with Python

    Duration- You can complete such artificial intelligence certification courses in approximately 8 months.

    Fee- These are 7-day free trial artificial intelligence certification courses, and after this, ₹3,589 is charged per month.

    Step 3: Fill the gaps in your knowledge:

    It is very well understood that a person having an undergraduate degree in Information Technology might not know mathematical concepts and vice-versa. Similarly goes for all other degrees.

    For learning these skills, the best way is to refer to online courses. Following are the skills required by any professional in Artificial Intelligence and some courses to enhance skills in the same:

    1. Statistics and Data Analysis-

    Statistics is another crucial aspect of Artificial Intelligence. One must be very thorough with topics like Gaussian distributions, mean, regression analysis, probability, and standard deviation.

    For an understanding of these concepts, one can pursue the following course-

    Principles, Statistical, and Computational Tools for Reproducible Data Science on edX

    This course ensures that one learns all the skills required in Statistics for analyzing data concepts and algorithms, which is one of the specific fields studied under AI courses.

    This course is on EdX and is offered by Harvard University.


    1. Introduction to Concepts

    2. Fundamentals of Reproducible Science

    3. Case Studies in Reproducible Research

    4. Data Provenance Project Design

    5. Statistical Methods for Reproducible Science Prediction Models

    6. Computational Tools for Reproducible Science

    7. R and Rstudio

    8. Python

    9. Git and GitHub

    Duration- You can complete this course in approximately 8 weeks.

    2. Linear Algebra and Calculus-

    Concepts like matrices, algebra, integration, vectors, and differentiation form the fundamentals of Artificial Intelligence courses. They come in very handy while programming concepts and executing data analysis.

    To have a specialization in these concepts, one can do the following courses-

    Mathematics for Data Science Specialization on Coursera-

    There are always foundational mathematical concepts behind the models and programming languages. This course covers topics of Linear Algebra, Discrete Mathematics, Probability, and Calculus. There are also applications of these concepts in programming and Data Science through these concepts.

    This course is available on Coursera and is offered by the National Research University Higher School of Economics.


    1. Discrete Math and Analyzing Social Graphs

    2. Calculus and Optimization for Machine Learning

    3. Linear Algebra for Machine Learning

    4. Probability Theory, Statistics, and Exploring Data Analysis

    Duration - You can complete this course in approximately 6 months.

    3. Neural Network Architectures-

    This skill in the artificial intelligence career concerns machine learning concepts. When structures, data, or tasks at hand become too complicated, machine learning comes into play. They have proven to be effective in technologies like face recognition, speech recognition, and translators.

    One convenient course one can do to acquire this course is-

    4. Neural Networks and Deep Learning on Coursera

    If you are thinking of how to make a career in artificial intelligence, then this course will help you to understand Neural Networks and their application in Deep learning concepts. It will train you on the implementation of neural networks and the critical parameters in authorizing neural networks. One can leave the concepts of Deep learning if one wants to understand the concepts of Neural networks. Still, it is preferred to study them simultaneously.

    This course is available on Coursera and is offered by


    1. Introduction to Deep Learning

    2. Neural Network Basics

    3. Shallow Neural Networks

    4. Deep Neural Networks

    Duration- You can complete this course in approximately 5 months.

    5. Natural Language Processing

    It is the process where we make machines learn and understand human languages. Natural Language Processing can be considered as the subfield of AI courses.

    One course to pursue in this field is –

    6. Introduction to Natural Language Processing on Udemy:

    This course will cover everything about NLP, AI, and conversational interfaces and is available on Udemy. As a Python developer, you will gain a lot of knowledge about NLP, sentiment analysis, textual information, and loading/manipulating data.


    1. Windows and OS X Setup

    2. Python Refresher

    3. NLTK and the Basics

    4. Tokenization, Tagging, and Chunking

    5. Custom Sources

    6. Projects

    Duration- Self-paced

    Step 4: Hone your Non-Technical Skills:

    One needs to have the following non-technical skills:

    • Communication Skills

    • Critical Thinking

    • Industry Knowledge

    Step 5: Get a Master’s Degree:

    One can easily get jobs in the Artificial Intelligence sector if one sharpens the previously discussed skills. However, to increase the pay scale or get leadership roles, the educational requirement reaches the Master's level. Hence, get a Master’s or a Ph.D. in computer science with a specialization in the field of Artificial Intelligence.

    These are all the steps and AI courses that are required to make a successful career in the field of Artificial Intelligence.

    Also Read:

    What are the Careers in the field of Artificial Intelligence?

    The next question that comes to anyone's mind is the career options if I choose this field. A LinkedIn report stated that Artificial Intelligence engineers have a median salary of over $100,000 per year. Another report from Indeed has indicated a much higher median wage than the LinkedIn report; it estimated it to be $141,001.

    Here are the top 5 careers listed that you could pursue after getting an Artificial Intelligence certification:

    1. Machine Learning Engineer-

    The job of a Machine Learning Engineer is to design and develop Machine Learning systems. They perform statistical analysis to carry out various results and produce the best models. As a machine learning engineer, you are required to work around data science models and scale them for being used at a much larger scale than smaller chunks of data.

    Percentage of increase in Job Positions: 344%

    Average Salary: $142,858.57

    2. Data Scientist-

    Analyze raw data and bring it out in meaningful forms through several analytical tools and methods. As a data scientist, one is required to combine their knowledge of social analytical skills and mathematical permutations to process data and find actionable information being used for strategic decision-making.

    Percentage of increase in Job Positions: 78%

    Average Salary: $126,927.41

    3. Robotics Engineer-

    Robotics Engineer, as the name suggests, is concerned with the designing and construction of Robots. In this job role, engineers are required to create robots that can perform human-like actions and replicate their behaviors.

    Percentage of increase in Job Positions: 128%

    Average Salary: $99,007

    4. Computer Vision Engineer-

    A Computer Vision Engineer's job is to use software to look after the processing of large data samples. As a computer vision engineer, you are sought after to aid with your skills such as programming, data analysis, research, and designing user interfaces that delight the end-user.

    Percentage of increase in Job Positions: 116%

    Average Salary: $126,399.81

    5. Algorithm Engineer-

    The job of an Algorithm Engineer is to develop feasible algorithms to build and deploy machines and systems. As an algorithm engineer, you might also be required to create micro-level algorithms and programming codes that automate time-consuming/unnecessary tasks.

    Percentage of increase in Job Positions: 46.9%

    Average Salary: $109,313.51

    These data are taken from an Indeed report and the scaling to 2015-19 data.

    Also Read

    Is there a Future in Artificial Intelligence?

    If you are wondering how to make a career in Artificial Intelligence, these are some statistics and forecasts that will give you better ideas about this field and the need for awareness about AI courses -

    1. A report "The Future of Jobs 2018" from the World Economic Forum predicted a new 58 million job openings in Artificial Intelligence.

    2. IDC made another prediction that 75% of commercial-based apps will use AI technologies.

    3. Gartner said that 30% of total business-to-business companies would have to use Artificial Intelligence to increase a minimum of 1% sales.

    Frequently Asked Question (FAQs)

    1. Which Bachelor's Degree should be pursued to make a career in Artificial Intelligence?

    One can pursue a bachelor's degree in Mathematics, Computer Science, Physics, or Statistics so that you can make a career in artificial intelligence.

    2. Is there a master's degree in this field?

    If you are thinking of how to start a career in artificial intelligence, then there are master's degrees field of AI.

    3. Where can one find the artificial intelligence courses

    No, one can find many other artificial intelligence courses online that are designed specifically for the field of AI on different websites like Great Learning, Udemy, and more.

    4. Do people do courses for non-technical skills that are required?

    When one wants to know how to specialize in artificial intelligence then one does not need to pursue certification courses for non-technical skills. Candidates just need to stay updated with the latest technologies.

    5. What is NLTK?

    NLTK stands for Natural Language Toolkit. It has all the tools needed for expertise in the skill of Natural Language Processing.

    6. What is Reinforcement Learning?

    Reinforcement Learning is one of the sub-fields of Machine Learning. It helps software agents to learn how to maximize rewards in any situation.

    7. What course should I do for artificial intelligence?

    To pursue a career in artificial intelligence after class 12, one can opt for any undergraduate-level course in fields like data science, data science, or computer science. But after a bachelor's degree, you can pursue higher education with certifications that specialise in the field of artificial intelligence.


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    In a career as a vlogger, one generally works for himself or herself. However, once an individual has gained viewership there are several brands and companies that approach them for paid collaboration. It is one of those fields where an individual can earn well while following his or her passion. Ever since internet cost got reduced the viewership for these types of content has increased on a large scale. Therefore, the career as vlogger has a lot to offer. If you want to know more about the career as vlogger, how to become a vlogger, so on and so forth then continue reading the article. Students can visit Jamia Millia Islamia, Asian College of Journalism, Indian Institute of Mass Communication to pursue journalism degrees.

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    Individuals in the editor career path is an unsung hero of the news industry who polishes the language of the news stories provided by stringers, reporters, copywriters and content writers and also news agencies. Individuals who opt for a career as an editor make it more persuasive, concise and clear for readers. In this article, we will discuss the details of the editor's career path such as how to become an editor in India, editor salary in India and editor skills and qualities.

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    Advertising Manager

    Advertising managers consult with the financial department to plan a marketing strategy schedule and cost estimates. We often see advertisements that attract us a lot, not every advertisement is just to promote a business but some of them provide a social message as well. There was an advertisement for a washing machine brand that implies a story that even a man can do household activities. And of course, how could we even forget those jingles which we often sing while working?

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    Photography is considered both a science and an art, an artistic means of expression in which the camera replaces the pen. In a career as a photographer, an individual is hired to capture the moments of public and private events, such as press conferences or weddings, or may also work inside a studio, where people go to get their picture clicked. Photography is divided into many streams each generating numerous career opportunities in photography. With the boom in advertising, media, and the fashion industry, photography has emerged as a lucrative and thrilling career option for many Indian youths.

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    Social Media Manager

    A career as social media manager involves implementing the company’s or brand’s marketing plan across all social media channels. Social media managers help in building or improving a brand’s or a company’s website traffic, build brand awareness, create and implement marketing and brand strategy. Social media managers are key to important social communication as well.

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    Product Manager

    A Product Manager is a professional responsible for product planning and marketing. He or she manages the product throughout the Product Life Cycle, gathering and prioritising the product. A product manager job description includes defining the product vision and working closely with team members of other departments to deliver winning products.  

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    Quality Controller

    A quality controller plays a crucial role in an organisation. He or she is responsible for performing quality checks on manufactured products. He or she identifies the defects in a product and rejects the product. 

    A quality controller records detailed information about products with defects and sends it to the supervisor or plant manager to take necessary actions to improve the production process.

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    Production Manager

    Production Manager Job Description: A Production Manager is responsible for ensuring smooth running of manufacturing processes in an efficient manner. He or she plans and organises production schedules. The role of Production Manager involves estimation, negotiation on budget and timescales with the clients and managers. 

    Resource Links for Online MBA 

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    QA Manager

    Quality Assurance Manager Job Description: A QA Manager is an administrative professional responsible for overseeing the activity of the QA department and staff. It involves developing, implementing and maintaining a system that is qualified and reliable for testing to meet specifications of products of organisations as well as development processes. 

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    QA Lead

    A QA Lead is in charge of the QA Team. The role of QA Lead comes with the responsibility of assessing services and products in order to determine that he or she meets the quality standards. He or she develops, implements and manages test plans. 

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    Reliability Engineer

    Are you searching for a Reliability Engineer job description? A Reliability Engineer is responsible for ensuring long lasting and high quality products. He or she ensures that materials, manufacturing equipment, components and processes are error free. A Reliability Engineer role comes with the responsibility of minimising risks and effectiveness of processes and equipment. 

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    Safety Manager

    A Safety Manager is a professional responsible for employee’s safety at work. He or she plans, implements and oversees the company’s employee safety. A Safety Manager ensures compliance and adherence to Occupational Health and Safety (OHS) guidelines.

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    Corporate Executive

    Are you searching for a Corporate Executive job description? A Corporate Executive role comes with administrative duties. He or she provides support to the leadership of the organisation. A Corporate Executive fulfils the business purpose and ensures its financial stability. In this article, we are going to discuss how to become corporate executive.

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    Computer Programmer

    Careers in computer programming primarily refer to the systematic act of writing code and moreover include wider computer science areas. The word 'programmer' or 'coder' has entered into practice with the growing number of newly self-taught tech enthusiasts. Computer programming careers involve the use of designs created by software developers and engineers and transforming them into commands that can be implemented by computers. These commands result in regular usage of social media sites, word-processing applications and browsers.

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    Product Manager

    A Product Manager is a professional responsible for product planning and marketing. He or she manages the product throughout the Product Life Cycle, gathering and prioritising the product. A product manager job description includes defining the product vision and working closely with team members of other departments to deliver winning products.  

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    ITSM Manager

    ITSM Manager is a professional responsible for heading the ITSM (Information Technology Service Management) or (Information Technology Infrastructure Library) processes. He or she ensures that operation management provides appropriate resource levels for problem resolutions. The ITSM Manager oversees the level of prioritisation for the problems, critical incidents, planned as well as proactive tasks. 

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    Information Security Manager

    Individuals in the information security manager career path involves in overseeing and controlling all aspects of computer security. The IT security manager job description includes planning and carrying out security measures to protect the business data and information from corruption, theft, unauthorised access, and deliberate attack 

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    Big Data Analytics Engineer

    Big Data Analytics Engineer Job Description: A Big Data Analytics Engineer is responsible for collecting data from various sources. He or she has to sort the organised and chaotic data to find out patterns. The role of Big Data Engineer involves converting messy information into useful data that is clean, accurate and actionable. 

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    Cloud Solution Developer

    A Cloud Solutions Developer is basically a Software Engineer with specialisation in cloud computing. He or she possesses a solid understanding of cloud systems including their operations, deployment with security and efficiency with no little downtime. 

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    CRM Technology Consultant

    A Customer Relationship Management Technology Consultant or CRM Technology Consultant is responsible for monitoring and providing strategy for performance improvement with logged calls, performance metrics and revenue metrics. His or her role involves accessing data for team meetings, goal setting analytics as well as reporting to executives.  

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    IT Manager

    Career as IT Manager  requires managing the various aspects of an organization's information technology systems. He or she is responsible for increasing productivity and solving problems related to software and hardware. While this role is typically one of the lower-level positions within an organisation, it comes with responsibilities related to people and ownership of systems.

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