There are a variety of AI projects you can do to gain a grasp of these libraries. Many high-level libraries and frameworks can help you do this without an in-depth knowledge of how the models work. Many companies require individuals who can build AI solutions, scale them, and deploy them for the end-user. While there is complexity involved in building machine learning models from scratch, most AI jobs in the industry today don’t require you to know the math behind these models. It isn’t tough to get started in the field of AI. Companies need AI specialists who can build and deploy scalable models to meet growing industry demands.

There is a lot of work being done today for the advancement of Artificial Intelligence. Say, if you are intrigued by facial recognition systems and image generation, you can choose to work in the field of computer vision. If you’d like to build models that can converse with people and learn human language, you can work in the field of NLP (Natural Language Processing). The field of AI is vast, and there are many areas within the industry that you can choose to specialise. The median salary of an AI engineer as of 2021 is $171, 715 that can go over $250,000. Multinational companies like IBM, Accenture, and Apple are actively hiring AI practitioners. The AI industry has expanded massively in the past few years and is predicted to grow even further, reaching around 126 billion U.S. Every time you scroll through social media, open Spotify, or do a quick Google search, you are using an application of AI. Let's dive in!Īrtificial Intelligence has made a significant impact on our daily lives. Whether you're a tech enthusiast or simply curious about the future of AI, you'll find plenty of exciting ideas and insights to inspire you. In this space, we will explore the most innovative and impactful Artificial Intelligence projects, from cutting-edge research to real-world applications.

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