AI (artificial intelligence) is growing quickly in the ever-developing technological field. According to the Global Artificial Intelligence Study of PricewaterhouseCoopers, AI could provide a contribution of $15.7 trillion to the global economy by 2030. A certified AI engineer can get several excellent opportunities and new challenges for their professional development.
In this post, you’ll get an overview of who is an AI engineer, what are their roles and responsibilities, and also discover a comprehensive guide to becoming a clued-up AI engineer.
Introduction to AI Engineering
Artificial intelligence engineering is among the best jobs to pursue a rewarding career in AI. Artificial intelligence engineers are professionals who develop systems, tools, and applications using AI and machine learning (ML) techniques to help companies reduce their expenses, boost efficiency, and maximize revenue through effective decision-making.
Tools and systems developed by AI engineers allow AI to be applied in the real world. They are primarily responsible for developing, programming, and training networks of algorithms to learn and perform exceptionally. They can use APIs (application programming interfaces) or embedded code to develop AI-driven applications. Examples of AI engineering can be found in everyday life. For example, self-driven vehicles powered by AI and ML technology.
Important Roles and Responsibilities of AI Engineers
AI engineers are responsible for performing the following tasks and responsibilities in an organization –
- Develop, test, and deploy AI models.
- Design and manage the AI development process and infrastructure of a product.
- Coordinate with other professionals such as coders, programmers, data science teams, and other stakeholders.
- Perform statistical analysis and understand outcomes to guide a business decision-making process.
- Automate significant AI processes and infrastructure for a data science team.
- Convert ML models into APIs that other applications can easily interact with.
Most Useful Steps to Become a Skilled AI Engineer.
Becoming an artificial intelligence engineer needs the basic skills in mathematics, computer, and information technology as mentioned below. Here are some steps to get started in AI engineering –
- Complete graduation from higher secondary school
The first step is to pursue graduation from a higher secondary school with important science subjects such as Physics, Chemistry, or Mathematics. Also, you can choose statistics as an optional subject.
- Get a bachelor’s degree
Once you graduate from a higher secondary school, you can either choose a 3-year BSc course or a 4-year engineering course such as B.Tech in AI. Moreover, you can earn an engineering degree in similar domains such as computer science or IT, and select AI as a specialization in combination with data science and ML.
- Earn a postgraduate degree
A postgraduate degree is not necessarily required, however, it can help you boost your skill set, increase your chances for better AI engineering positions, and get a high-paid job. It can also provide you with detailed knowledge of the key subject and relevant technical skills.
- Get recognized certification
Earning the best artificial intelligence engineer certification from a reputed university or institute can help you advance your skills and demonstrate your expertise to an employer. Having a recognized certification can offer you a competitive advantage with increasing opportunities for potentially higher salaries and career growth.
You can choose an online course for Certified Artificial Intelligence Engineer (CAIE™) by the United States Artificial Intelligence Institute (USAII®). This self-paced online AI engineering certificate allows candidates to distinguish themselves as skilled AI engineers and improve efficiency on AI-based projects.
- Apply for jobs
Once you have gained enough qualifications and certification in the AI engineering field, apply for jobs. You can apply for ML engineer, AI specialist, robotics engineer, and other profiles in the fields of deep learning, AI, and ML. There are multiple ways to create an impressive resume for success in the competitive job market. Highlight particular projects that you have worked on or classes that show your wide understanding of AI engineering.
Start with entry-level jobs and then develop your skills to move ahead to higher positions. Don’t lose hope if you are not selected for dozens of jobs that you have applied for. Keep patience and improve your interview skills. You could be asked to explain your reasoning for creating and deploying certain algorithms. Be sure to clearly demonstrate your critical thinking capability and problem-solving skills.
- Get some work experience
If you got selected for an internship or entry-level position, then don’t put a pause on your learning. Instead, prove yourself by learning as much as possible. It will help you to apply the skills and concepts you learned toward providing valuable business insights and solutions.
What Skills Are Essential to Become an AI Engineer?
To become a successful artificial intelligence engineer, you will require good mathematical skills as developing AI models using algorithms needs knowledge of statistics, calculus, and algebra. Also, you may need a solid knowledge of key programming languages such as Python, Java, and C++ to build and deploy AI models. Additionally, AI engineers often require analytical, collaboration, and communication skills. The best AI engineering certificate provides practical skills to understand AI and ML.
Wrapping Up
The exponentially growing use of artificial intelligence is resulting in the form of huge career opportunities for AI engineers. According to Glassdoor, an AI engineer's average salary is $115,623 in the US alone as of March 2024. So, start developing essential technical and soft skills in educational institutes or with the help of online forums, videos, and other resources. Earn top certifications to keep updated with the latest industry changes and then apply for jobs.
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