Advantages of making a career Artificial Intelligence

Nearly every facet of our life now involves artificial intelligence (AI), from the workplace to retail to healthcare. Considering this, the need for students who can create, use, and manage cutting-edge AI technologies grows along with the need for AI specialists. Also, now is the best time to choose a career in artificial intelligence. Read on to know more about it.

What is artificial intelligence? 

Before we understand the benefits of pursuing a career in artificial intelligence, let us know what exactly AI is. Artificial intelligence, a vast branch of computer science, is concerned with creating intelligent machines that are capable of performing activities that typically require human intelligence. The multilayered science of artificial intelligence can be approached through many different angles, but developments in the domains of machine learning and deep learning are driving a huge shift in almost every sector of the computer industry.

Artificial intelligence enables machines to imitate and surpass the human mind’s capabilities. From the rise of self-driving cars to the growth of intelligent assistants like Siri and Alexa, AI is becoming increasingly pervasive in daily life. Consequently, many IT companies from diverse industries are investing in artificial intelligence technologies.

Benefits of pursuing a career in AI 

Artificial intelligence is the field of the future. Here are a few reasons to pursue a career in artificial intelligence

Gain more knowledge about technology 

One of the numerous reasons to make a career in this field is to improve your technical skills by comprehending the world of artificial intelligence and how it applies to your business and employment role or the job of your dreams. AI is the perfect field for you if you have a knack for technology and programming. It will allow you to explore various parts of technology and data. 

Make an impact 

AI has affected every part of our life. And, it continues to do so as we speak. Whether it is a student studying for his/her exams or executives with an MBA degree doing a business deal, AI is involved in everybody’s lives. By pursuing a career in AI, you will be able to alter the lives of numerous people. With artificial intelligence, you can create technologies that will help you impact various sectors such as education, healthcare and transportation. With the use of AI, the entire trajectory of these fields can be changed.

Increase your chances of employment 

AI has been and continues to replace many job roles that humans do. However, it is also creating double the job roles in significant sectors. AI promises several career opportunities. It is needed for the successful functioning of every industry. All companies are searching for AI specialists who can help increase the company’s sales. If you pursue a career in AI, then you can work in various job roles, which are incredibly high paying. 

Jobs in AI 

If you are looking forward to pursuing a career in AI, then there are several job roles that you can aim for. Some of them are: 

Machine learning engineer

ML engineering is a field that combines data scientists with software engineers. They make data science models for companies that are scalable, production-ready, and able to handle terabytes of real-time data generated by the use of big data technologies and programming frameworks. Applied research, data science, and software engineering understanding are necessary for ML engineers.

Data scientist 

Data scientists collect data, analyse it, and make judgements for a number of purposes. They use a range of technological techniques, steps, and algorithms to draw information from data and identify important patterns. It could be as straightforward as identifying anomalies in time-series data or as complex as making predictions and offering counsel.

Business intelligence developer

Business intelligence (BI) developers examine intricate internal and external company data to determine trends. For example, at a company offering financial services, this could be an individual who monitors the stock market statistics to assist with investment decision-making. On the other hand, for any product company, this could be someone who looks into the sales trends to help in distribution planning.

NLP engineer

Natural language processing (NLP) experts are artificial intelligence (AI) technologists specialising in spoken and written human language. Engineers working on speech recognition, voice assistants, document processing, etc., use this technology. 

These are just a few job roles; you can also choose to become a research scientist, prominent data engineer, software engineer, data analyst or software architect as an AI specialist. 

Conclusion 

AI specialists are needed in every big company today. So, now is the best time to pursue and build a career in AI. If you want to become an AI specialist, then the Imarticus-certified PG diploma in management by BIMTECH will help you learn everything you need to know about the field. Offering dedicated career support and live training by the best faculty in the field, this course will set you up for the job market.

Why Should You Learn Python For Data Analytics and Artificial Intelligence?

2022 has seen a huge increase in both the number of data science applicants and also future aspirants all around the world. In India alone, LinkedIn, the global job search leader, announced a 25% spike in data science professionals as compared to 2021, and that is a huge number by a number of standards.

But one of the most common questions that ponders the mind of data science aspirants most often is why they should learn Python to get an edge in this profession?

Thus if you are planning for a career in data analytics and artificial intelligence in the future, and too have this question in your mind, in this article, we will answer exactly that.

Let’s get started.

Why Is Python Important for Data Science?

At the present moment, there are more than 35 different programming languages that are actively used by developers and coders all around the world. But among all of these, Python is undeniably one of the most versatile and well equipped, especially in the field of data science.

The reason behind this is simple; if you take a look at some of the most common tasks that are executed by a data scientist on an everyday basis, starting from data extraction and ELT (Extraction, Loading, and Transformation) all of them require a solid knowledge of Python coding and operation.

Along with this, another important reason why Python is so often relied upon as the go-to programming language for data science professionals is the fact that it comes with a suite of different packages, starting from SciPy, NumPy and pandas, which make complicated and time-consuming tasks easier, more efficient and effortless.

For instance, Matplotlib, which is one of the leading Python packages, is often used by data science professionals when they want to include visualizations or any sort of graphics in their simulations.

If all of this is not enough good reason, as to why you should learn Python

Learn Python ProgrammingTo get an edge for your career in artificial intelligence, here are some of the biggest advantages of the standalone programming language in itself.

Advantages of Python

Easy to Learn

If you are a beginner at coding and you are looking for a programming language that is easy and fast to learn, then Python should be your choice.

The programming language has been around since the late 1980s and has thus undergone several developments and improvements in the last couple of years, which has made the current version extremely user and beginner friendly to learn and execute.

Since data science is such a fast-paced career, where developments are literally happening overnight, the need for a language that is easy and fast to learn is a no-brainer, thus making Python one of the most obvious choices.

Scalable

When you would have spent a considerable amount of time coding, one of the first things you will realize is the fact that Python as a programming language is immensely scalable. Compared to programming languages like Matlab and Stata, which are industry leaders in their own might, Python makes it very simple and straightforward for anyone to scale. The language comes inbuilt with a suite of features that allows you to have multiple approaches and perspectives to solve the same problem, along with having a wide range of flexibility to try out new things as and when they are developed.

Learn Python ProgrammingThe scalability aspect of Python is the second reason why companies prefer their data science professionals to know Python. Scalability is immensely important in both data science and artificial intelligence, mainly because of the fact that new discoveries are being made on the regular.

Conclusion

Thus, if you want to give your career in data science an edge, now is the time to start enrolling for an Artificial Intelligence Training that comes packed with a course in Python.

We offer analytics and artificial intelligence courses at our centers in Mumbai, Thane, Pune, Jaipur, Delhi, Gurgaon and Bangalore.