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Artificial intelligence, or AI, has been one of the most talked-about technologies in recent years. It is quickly becoming a popular career choice for those who are passionate about making a significant impact in the world. As a doctor in AI,  I have had the opportunity to observe and understand the industry’s evolution over the years. In this article, I will share my subjective perspective on how to start a career in AI and make the most of the opportunities available in this field.

To start a career in AI, one must have a deep passion for the field. AI is not just a technology but a science that requires a unique combination of skills and knowledge. The foundation of AI lies in mathematics and computer science. Therefore, it is crucial to have a solid understanding of these fields. A background in statistics, calculus, linear algebra, and probability theory is an added advantage. However, if you don’t have a degree in these fields, do not be discouraged. There are plenty of online resources to help you get started. Websites like Coursera, edX, and Udacity offer courses that cover the basics of AI and machine learning. It is essential to take these courses seriously and complete them to gain a fundamental understanding of the technology.

Programming languages are the backbone of AI. Python is the most popular programming language in the field of AI and machine learning due to its simplicity and versatility. R is used more for statistical analysis, while Java is more suitable for building large-scale applications. Therefore, it is essential to learn one or more of these languages to start a career in AI. Learning these languages is not enough; one must also get hands-on experience. The best way to learn AI is by getting hands-on experience. One way to do this is by working on personal projects. Build simple AI models, like image classifiers or chatbots, and experiment with different algorithms and techniques. This not only helps you learn the practical aspects of AI but also showcases your skills to potential employers.

Participating in online communities is a great way to learn from others and stay up-to-date with the latest trends in AI. There are several online communities dedicated to AI, including Reddit’s /r/artificial, AI Stack Exchange, and Kaggle. These communities offer resources, discussions, and opportunities to collaborate on projects with like-minded individuals. It is essential to actively participate in these communities and engage in discussions. Doing so will help you learn from others, showcase your skills, and build relationships with people in the industry.

Obtaining a certification in AI or machine learning can help you stand out in the job market. Several organizations offer certifications in AI, including IBM, Google, and Microsoft. These certifications demonstrate that you have the skills and knowledge needed to work in the field of AI. However, it is essential to note that certifications are not a substitute for experience. They are an added advantage that can help you stand out in a competitive job market.

Networking is critical in any field, and AI is no exception. Attend AI-related events, meetups, and conferences to connect with others in the field. Building relationships with people in the industry can lead to job opportunities and collaborations on projects. Networking is not just about meeting people but also about building meaningful relationships. Therefore, it is essential to approach networking with the mindset of building long-lasting relationships.

If you are serious about pursuing a career in AI, consider getting a graduate degree in the field. A graduate degree can provide you with a deeper understanding of AI, as well as access to research opportunities and connections in the industry. Many universities offer graduate programs in AI, including Carnegie Mellon University, Stanford University, and the Massachusetts Institute of Technology (MIT). However, it is essential to note that a graduate degree is not a requirement to start a career in AI. Many successful AI professionals do not have graduate degrees but instead have gained experience through working on personal projects, participating in online communities, and networking.

In addition to the technical skills required for AI, soft skills are also essential. AI professionals must have excellent problem-solving skills, critical thinking skills, and the ability to communicate effectively. AI projects can be complex, and professionals must be able to break down the problem into manageable parts and come up with innovative solutions. Furthermore, effective communication is essential when presenting findings or solutions to stakeholders who may not have a technical background.

When starting a career in AI, it is essential to keep learning and staying up-to-date with the latest trends and technologies. AI is a rapidly evolving field, and new breakthroughs and techniques are constantly emerging. It is crucial to stay on top of these developments and adapt to new technologies and techniques. Attending workshops, conferences, and online courses can help you stay up-to-date and expand your knowledge and skillset.

In conclusion, starting a career in AI requires a unique combination of technical and soft skills, including a strong background in mathematics and computer science, programming languages, hands-on experience, and effective communication and problem-solving skills. Networking, participating in online communities, and obtaining certifications can also help you stand out in the job market. AI is a rapidly evolving field, and staying up-to-date with the latest trends and technologies is essential for success. Whether you have a graduate degree or not, pursuing a career in AI can be both challenging and rewarding, and with dedication and passion, you can make a significant impact in this exciting field.

As part of our brand-new AI series, we’ll be featuring tips, tricks, and insights from the leaders in the industry. We hope you enjoyed this article – written by AI expert, Fouzia Adjailia, a new guest blogger for the #FelsMovement.