Artificial Intelligence has supported humans to decide how to integrate the technology to tune the way businesses operate across the globe. With the pandemic, though the inclusion of AI will witness the elimination of 85 million jobs, businesses are working to bring another 97 million AI career opportunities into the market, which is an addition of over 12 million new jobs, World Economic Forum says.
According to the forecasts of the World Economic Forum, it is predicted that there would be a huge increase in AI jobs worldwide, to 123 new jobs per every 1000 opportunities in the job market.
However, the lack of relevant AI skills and industry-specific AI certifications prevail as the greatest barrier to AI adoption for businesses. This AI crisis arises from poor AI education, which is not aligned with the existing industry trends.
While a career in Artificial Intelligence takes many shapes and sizes with opportunities everywhere, it is important to polish the skills and stay up-to-date.
The AI market value is skyrocketing- the estimated growth from USD 58.4 billion in 2021 to USD 309.6 billion in 2026, with a 39.7% CAGR is a breathtaking figure, according to Markets and Markets. Here are the major trends that drive AI careers into one of the most in-demand jobs across the globe.
AI in DevOps
In cloud application optimization, we often see AI as a source to help DevOps engineers place their key focus on development and testing. With AI and Machine learning, the systems can suggest the size of the workload accurately and assist the DevOps team to work on testing, rebuilding, and sending the workload to the reliability team.
Site Reliability Engineering
With AI and ML in place, organizations can let the SRE team find the optimal combination between the parameters like memory, CPU, etc. While humans can make guesses at the optimal, AI-led systems can get it more reliably at a faster pace. It does not replace human beings but leaves time for them to do the jobs on higher priority.
AI in Cybersecurity
The world works online and hence, it is crucial to safeguard the systems from theft, attacks, and other cybercrimes. If you closely compare with the tech salary rises of 3.6% in 2020, Cyber Security analyst jobs show a rise of 16.3% that proves the power of evolving cyber security roles in business firms, says Redmond Magazine. The occupation attracts skilled technologies with industry-specific AI education since it involves the identification and elimination of security risks.
AI In Manufacturing
Manufacturing is moving towards the bigger arena with the ability to save time and money with the Ai led processes in every stage. According to an MIT survey, about 60% of manufacturers already spend on AI with a focus on quality control and maintenance. AI can process the data that comes from sensors to track the factors like equipment condition, emissions, oil levels, debris, and more. AI is an amazing addition to quality control where inspectors can understand what to inspect, and how to analyze the root cause of QC concerns.
AI In Robotics
Another hot segment that uses AI heavily is Robotics and automation. The robotics market expects a leap from the current value of USD 103 billion/year to more than double by 2025, i.e. USD 210 billion, says Rob Enderle, the analyst at Enderle Group. RPA (Robotic Process Automation) augments firms to perform repeatable and huge volumes of tasks quickly. Skilled AI Scientists and AI engineers are in demand to service the robots, improve the performance with AI harnessing, write efficient codes, optimize the performance and fix the robotic errors, etc.
To start a successful career in Artificial Intelligence, it is crucial to follow a roadmap that directs you to the multiple job roles that fit your profile. Artificial Intelligence is a part of Computer Science and is called Machine Intelligence. It involves the process of building machines that can think, interpret, and understand as human beings do.
Since AI continues to evolve, you should be aware and stay updated about the trends in AI as a career and the advanced AI skills in demand.
Here is the roadmap toward the technical and business skills you require to master in an AI-based career.
Technical Skills required:
Non-Technical Skills required
Every sector looks to deploy Artificial Intelligence to grow their business, thereby creating a surge in demand for AI professionals. AI has paved the way to replace redundant tasks but at the same time, has also given birth to numerous AI skills that humans need to fulfil. As an AI aspirant, you must be aware of the ample opportunities that exist in this field.
The positions like Machine Learning engineer, Business Intelligence developer, AI engineer, Cybersecurity analyst, Research scientist, and many other positions await the AI professionals. However, AI certifications can be the best option to build and nurture the aforementioned Artificial Intelligence skills. It gives you the best learning experience with theoretical concepts, practical exposure, and industry-relevant projects to work on.
The reliable guidance, up-to-date curriculum, industry-aligned concepts, and certificates help you to earn professional expertise which can attract the hiring companies. Hence, AI certifications stand as the best way to mould your career in the right direction with the development of essential skills and practical exposure.