How to start your career in AI and Machine Learning

When we hear the word “Artificial Intelligence,” we think of digital assistants, chatbots, robots, and self-driving automobiles. These are some powerful and fascinating examples of artificial intelligence in the real world. Unlike other technologies, AI and machine learning will continue to advance in 2020 and beyond. Unlike other technologies, AI and machine learning will continue to advance in 2020 and beyond.

If you are interested in pursuing a career in Artificial Intelligence (AI) or Machine Learning (ML) then this is the article for you. Building a career in AI and machine learning is neither easy nor difficult. However, it will require you to have a different approach. Because of the variety of employment alternatives, you may feel tempted to switch careers if you come from an IT background. Let’s start with the qualifications required for working in the field of AI and machine learning.

Amid the Reality of AI Jobs COVID-19

According to Gartner, AI is expected to generate 2.3 million new employment by 2020, resulting in a net gain of 500,000 new jobs. In light of the COVID-19 situation, career prospects for AI workers are expected to skyrocket.

Although the global economic situation is not ideal, AI talent can help to maintain a positive outlook.

The number of AI employment is predicted to expand 16 percent globally this year, according to International Data Corporation (IDC).

According to Gartner’s survey, 85% of AI experts say the business has become more varied in recent years.


Artificial intelligence and machine learning have their own set of qualifications and needs. As an AI and ML aspirant, you must possess skill sets to create a career in AI and ML. A few skills that are required for Artificial Intelligence Jobs are listed below.

  1. Statistical Expertise

To understand and analyze complicated algorithms as an AI aspirant, you must have a thorough understanding of statistics and probabilities. Because most AI models rely on discovering patterns in vast amounts of data, understanding statistical methods for extracting insights from data is critical.

  1. Probability and Mathematical Skills

Because AI is a science that uses numerous mathematical principles to construct artificial intelligence, complete knowledge of mathematical and probabilistic skills is required. In AI, probability plays a role in determining a range of outcomes, and a greater understanding of the subject is essential for developing AI models.

  1. Skills in programming

If mathematics ability is one of the requirements, programming skills are the second most important. Programming languages such as Java, C++, Python, and R are required for anyone interested in Artificial Intelligence and Machine Learning. Python will aid in the better comprehension and creation of complex algorithms, just as C++ aids engineers in increasing the pace of their coding process. As a result, these programs are critical for all professions in the AI and machine learning industries.

  1. Techniques for Advanced Signal Processing

When it comes to machine learning, feature extraction is a necessary component. Artificial intelligence and machine learning engineers should be conversant with numerous advanced signal processing techniques to comprehend the next feature and how to deploy models.

  1. Computing on a Large Scale

All AI jobs include dealing with big and complicated data sets, which must be dispersed evenly throughout a whole cluster, necessitating the use of distributed computing skills. This covers knowledge of applications like MongoDB, as well as the creation and management of cloud settings.

How can you get started with AI and machine learning?

  • Begin your preparations now

Now that you know what the requirements are to join the sector, you are qualified, but you must also possess work performance skills. The next step in your profession is to begin practicing the talents that you are lacking. The best thing you can do is pick up some probability or statistics books and brush up on your coding abilities. Alternatively, you might enroll in high-demand Artificial Intelligence and Machine Learning courses, which can help you enhance your skills. When it comes to understanding how the industry operates and how it works daily, an expert can assist you.

  • Projects to work on

Working on a variety of projects allows you to gain valuable expertise in the profession while also enhancing your résumé. It is important to try and work on as many projects as you can and collaborate with other people in your field to constantly learn new skills and stay up to date on industry standards. When theory knowledge is applied in real-world situations, it brings your experience to a whole new level.

After you have started doing this, you can then begin working on bigger projects as your resume continues to grow. It is essential to customize your template resume for every job application to ensure relevancy and make sure you are highlighting the most important work history that applies to the job you are applying for at that mom

Some important job roles

  • Machine Learning Engineer

The machine learning engineer’s work is fundamental to the majority of AI initiatives, which is why it is one of the most sought-after positions across industries. Machine learning engineers must have strong software skills, as well as the ability to use predictive models and natural language processing (NLP) while working with large data sets.

  • Data Scientist

Data scientists, first and foremost, work with data. They are in charge of gathering, analyzing, and interpreting massive amounts of information. They use predictive analytics as well as the tools and algorithms built by machine learning experts to extract insights from data that lead to strategic decisions.

  • Research Scientist

Multiple artificial intelligence fields, such as machine learning, computational statistics, and applied mathematics, will be required of research scientists. Candidates must have a strong understanding of graphical models, data representation, reinforcement learning, and natural language processing.

  • Business Intelligence Developer

To boost an organization’s profitability and efficiency, business intelligence developers examine complicated data sets to uncover current business and industry trends. Business intelligence developers must have strong technical, problem-solving, and analytical abilities because they are responsible for building, modeling, and maintaining data on cloud-based data platforms.

As we live in a technology-driven world, more people are keen to upgrade themselves for new-age IT careers. There are a plethora of online programs and training institutes that offer AI certification. CertNexus Certified AI Practitioner is also an industry-recognized certification. The Certified Artificial Intelligence Practitioner exam is for professionals who want to show that they have vendor-neutral, cross-industry expertise in AI. The certification exam will demonstrate a candidate’s understanding of AI ideas, technology, and tools, allowing them to work as an AI practitioner in several AI-related roles. uCertify is an online learning platform that provides hands-on learning resources to help you master the skills required for passing the exam. So, use the course and accelerate your career trajectory!