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Beginner to Pro: A Roadmap for Starting a Career in Artificial Intelligence

Artificial intelligence might have seemed like the ultimate villain of sci-fi movies, as many of us believed after watching the Terminator franchise. You should know that AI is not going to take over mankind anytime soon. However, a career in artificial intelligence might give you more advantages than you can think of. As a beginner in AI, you can find many ways to become a professional that can improve your chances of finding a lucrative job. The World Economic Forum has pointed out that AI jobs will grow by a huge margin in the next five years. Let us discover how you can be one of the professionals in the rapidly growing AI job market.

Preparing the Roadmap to Become an AI Professional

Every beginner in the domain of AI might have many doubts on their mind. The doubts are likely to revolve around the technical complexities of learning about something like artificial intelligence. Do you want to come up with innovative solutions and have the dedication to learn continuously for professional growth? If you answer this question in affirmative, then you can become AI pro from scratch with your commitment. The following roadmap will help you travel the distance from being a beginner to a pro in AI.

Start with the Foundation Skills

The chances of becoming a successful AI professional depend on how you learn the fundamental concepts and foundation skills. You must have strong understanding of mathematics and statistics as they define how AI models can learn and draw predictions. The other foundation skills that you must have to become an AI professional include computer science basics and programming skills.

Build Your AI Knowledge

The foundation skills give you the perfect opportunity to learn about the core concepts of AI. You might ask questions like “How do I start a career in AI?” when you have to learn how to work with AI. Beginners must start with machine learning concepts and understand the different types of machine learning. You can also discover more about deep learning architectures such as transformer models and neural networks. On top of it, you must also gain hands-on experience in machine learning and deep learning frameworks.

Gaining Practical Experience

You might think that you have become an AI professional once you have learned the core concepts. On the contrary, you need practical skills to show that you can use your AI expertise to solve real-world problems. The best way to improve your practical experience is through hands-on projects and online coding challenges. You must build a portfolio that showcases your best AI projects and demonstrates your abilities.

Choose a Relevant Career Path

One of the most interesting things about the certified AI professional roadmap is that you can explore multiple career paths. The point is- you need to choose a career path that aligns with your skills, interests and career goals. Some of the most prominent AI career paths that you can pick include ML engineer, AI research scientist, computer vision engineer and NLP engineer. You must also know that the AI job market offers many other roles such as AI product manager and marketing specialist, which are suitable for non-tech professionals.

Networking and Continuous Improvement

The final step in the roadmap for AI professionals focuses on continuous improvement and networking. You cannot become a professional in AI without contacts in the industry. Beginners must participate in community engagement through different forums and social media to increase exposure. The chances of being recognized in AI communities will be more if you have an AI certification in your profile. On top of it, certifications also create the roads for continuous learning and professional improvement.

Final Thoughts

The journey to become AI pro might not be easy for everyone. At the same time, you must also think about the possible options that you can explore to improve your AI skills and knowledge. Once you find the right roadmap that suits you, there is no going back. The process to learn AI skills is obviously a challenging one and you will need dedication to chart your path to success. Discover some useful pointers to find a reliable platform for AI certification to become a pro right now.

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