How to Make a Career in the Field of Artificial Intelligence
Artificial Intelligence refers to the working of machine functions as Human Beings. Technologies like Alexa, Google Assistant, are all works of Artificial Intelligence. The face unlocks feature in mobile phones is too 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 it as a career field. The artificial intelligence 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.
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.
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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 becomes easier.
Here is a step-to-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-
The most preferred field is Computer Science and then Statistics.
Also Read - Professional Program in Artificial Intelligence and Emerging Technologies by IIT, Hyderabad via Talentedge
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 the fundamentals of 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. In 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 reading and writing C code for implementation.
Such online artificial intelligence courses are available on Coursera and are offered by Duke University.
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.
Fee- This is a 7-day free trial course, and after this, ₹3,589 is charged per month.
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 is available on Coursera and is 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 the 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.
Introduction to Concepts
Fundamentals of Reproducible Science
Case Studies in Reproducible Research
Data Provenance Project Design
Statistical Methods for Reproducible Science Prediction Models
Computational Tools for Reproducible Science
R and Rstudio
Git and Github
Duration- You can complete this course in approximately 8 weeks.
Fee- This is a free course. For certification, ₹7,262 is charged by the provider.
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 course-
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.
Discrete Math and Analyzing Social Graphs
Calculus and Optimization for Machine Learning
Linear Algebra for Machine Learning
Probability Theory, Statistics, and Exploring Data Analysis
Duration- You can complete this course in approximately 6 months.
Fee- This is a 7-day free trial course, and after this, ₹2,856 is charged per month.
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-
Neural Networks and Deep Learning on Coursera
This course will help you to understand Neural Networks and its 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 they want 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.
Introduction to Deep Learning
Neural Network Basics
Shallow Neural Networks
Deep Neural Networks
Duration- You can complete this course in approximately 5 months.
Fee- This is a 7-day free trial course, and after this, ₹3,589 is charged per month.
4. 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 –
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.
Windows and OS X Setup
NLTK and the Basics
Tokenization, Tagging, and Chunking
Step 4: Hone your Non-Technical Skills:
One needs to have the following non-technical skills:
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 getting 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 - B.Tech in Artificial Intelligence
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 designing and developing 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 some 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, the 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 for looking 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-taking/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.
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 -
A report "The Future of Jobs 2018" from the World Economic Forums predicted a new 58 million job openings in Artificial Intelligence.
IDC made another prediction that 75% of commercial based apps will use AI technologies by 2021.
Gartner said that 30% of total business-to-business companies would have to use Artificial Intelligence to increase a minimum of 1% sales.
Also read -
Frequently Asked Question (FAQs) - How to Make a Career in the Field of Artificial Intelligence
Question: Which Bachelor's Degree should be pursued to make a career in Artificial Intelligence?
Question: Is there a master's degree in this field?
Yes, there are master's degrees for AI courses.
Question: Are these all the Artificial Intelligence courses available?
No, one can find many other artificial intelligence courses online.
Question: Do people do courses for non-technical skills that are required?
One does not need to pursue certification courses. Candidates just need to stay updated with the latest technologies.
Question: What is NLTK?
NLTK stands for Natural Language Toolkit. It has all the tools needed for expertise in the skill of Natural Language Processing.
Question: 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.
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