How to Make a Career in the Field of 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.

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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.

Syllabus-

• 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.

Syllabus-

• 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.

Syllabus-

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.

Syllabus-

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 deeplearning.ai.

Syllabus-

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.

Syllabus-

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:

• The Scope of Artificial Intelligence in India
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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

• Top 10 Artificial Intelligence Tools & Framework with certification courses
• What Is Artificial Intelligence - Definition, Courses, FAQs

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.