Artificial Intelligence is the ability of a machine to display human-like capabilities such as reasoning, learning, planning & creativity. AI enables technical systems to perceive their environment, deal with what they perceive, solve problems and act to achieve a specific goal. AI systems are capable of adapting their behaviour to a certain degree by analysing the effects of previous actions and working autonomously. AI is seen as central to the digital transformation of society and it has become an EU priority. Future applications are expected to bring about enormous changes, but AI is already present in our everyday lives.

AI is widely used to provide personalised recommendations to people, based on their previous searches and purchases or other online behaviour. AI is hugely important in commerce- optimizing products, planning inventory, logistics, etc. Artificial Intelligence makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today- from chess-playing computers to self-driving cars- rely heavily on deep learning and natural language processing.

There are numerous roles that an AI aspirant can get into. Yet among the most popular roles, we have the role of Artificial Intelligence Scientist. The goal of an AI scientist is to utilize machine learning and AI best practices to analyse massive amounts of data in order to solve complex problems in business or any other field. As a result, these professionals need to develop a specific set of specialized skills in order to be successful.

An Interactive AI team aims at pushing the boundaries of artificial intelligence to elicit and consume feedback enabling interactive and adaptive learning. As per the records show, AI professionals are in high demand. The hiring of AI specialists in the US has increased by 74% per year over the last four years and the salary of a ML engineer is estimated to have increased 344% in just three years.

As artificial intelligence has become a growing force in business, today’s top AI companies are leaders in this emerging technology. AI companies attract massive investment from venture capitalist and giant firms like Microsoft and Google that see the potential for further growth in corporate & personal use. AI clearly holds many possibilities and the exhaustive list of top AI companies playing a key role in shaping the future of AI is ever-exploding.

Even during the Covid-19 pandemic, where most industries reduced their total expenses to stay afloat, many companies actually increased their AI investments in 2020. Some of the leaders in the cloud are Amazon Web Services, Google Cloud Platform, IBM Cloud & Microsoft Azure and the big vendors in AI industry are Anduril, Sift, Nauto, Tempus, Salesforce, SenSat, Phrasee, Pymetrics, Siemens, AEye, Rev.Com, etc. These biggies allow AI to be applied in a variety of roles ranging from ML Engineers, Big Data engineer, Robotics scientist, Research Scientist, Business Intelligence Developer and many others.

It’s time to delve deeper into the role, skills and qualifications required for an AI scientist.


They typically spend their days collecting, organizing and utilizing data and deep learning to draw conclusions about complex topics, problems or questions. They may work closely with the data, deciding which data to collect and how to clean the data so that it can be used within the AI structure.


Crucial is a thorough understanding of variety of AI technical skills– ML, Deep learning, Neural networks & computer vision. Alongside programming languages and intelligence skills- Python, R, Java, C++ with a gamut of libraries & frameworks- TensorFlow, NumPy, SciPy, Scikit-learn, PyTorch, Apache spark. An AI scientist needs to be open to continual AI skills development & domain knowledge, alongwith possessing amazingly impressive AI scientist soft skills as this role demands one to be a team player, creative and analytical thinker. Going deeper into the required skillset, we have technical and non-technical skills taking the big chunk of weightage that are crucial for an AI role.

AI TECHNICAL SKILLS include computer programming, statistics & probability, data modelling, good command over Unix tools, efficiency in distributed computing & design and software.

AI NON-TECHNICAL SKILLS include incredible communication skills, collaboration & marketing skills with systematic & analytical thinking.


A master’s degree in computer science or a related field would do. Basic computer technology and math background forms the backbone of most artificial intelligence programs. Looking at the speed AI industry is pacing up, an AI aspirant needs to arm themselves with credibly weighted AI certifications, that puts them directly on a higher pedestal among their competitors.

There’s a wide range of AI certifications available online now-a-days that vouch for authenticity, but a very few are leading the league with credible long-standing in the industry. These are from MIT, Stanford, Google and USAII™. Before diving into these certifications, it’s imperative to understand why an AI certification is important? Simply because it helps in highlighting your expertise in the domain, you learn to build smarter systems, helps you stay ahead in your career and enhance your understanding of AI and land you a challenging role in AI. If that’s not enough, then what is?

When one steps into the AI industry, they’ll immediately feel that there’s already a thriving market for such expertise and the competition is cruel out there. So, how to cut through the competition and scale up the ladder? Here is where the role of an AI certification comes into play. Talking about a leading and credible AI certifications, offered by seasoned players like USAII™- CAIS certification is all about the ins & outs of AI. The Certified Artificial Intelligence Scientist (CAIS) is a ground-breaking certification program for senior AI professionals and business leaders, that helps them to develop the perfect AI solutions and strategy, bringing in the right organizational change leading to an absolute business transformation. This program develops the must-have skillsets and the latest technological know-how to manage complex projects & bring in overall AI strategy for developing automation.

CAIS is best suited for senior professionals with limited technical knowledge, the ones not much familiar with coding and complex math like the managers, delivery managers, directors, CXOs and many who want to upskill themselves and use AI to improve business results. So why not invest in the one which is world-renowned, trusted & executed by the industry experts themselves.


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