If you are looking to get started with Artificial Intelligence (AI) and Machine Learning (ML), we have a dedicated post on the best way to learn the technologies. However, if you intend to master, there is a distinct approach that will allow you to completely hone the required skills. Now as an aspirant, you need to understand that technologies like artificial intelligence, machine learning, deep learning, data science and more require as much practical exposure and experience as possible. More than textbook knowledge, it is how much you can work on tools and solve conflicts that matter. To help you master the technologies, here are some tried and tested approaches you should take.

DIY Projects

One of the first things you should do is work on as many projects as you can. If you are learning AI and ML from an online institute, it is highly likely that you would work on capstone projects. However, that is not enough. You need to work on diverse projects and build a portfolio that stands out from the crowd. The projects that you work on could be freelance projects for companies, pet projects that you wanted to work on for long, or a collaborative effort with other AI enthusiast. No matter what the driving factor is, working on projects will let you sharpen your skills. This is immensely required once you join the industry as on your desk, you would not be reciting what jargons stand for or mean but practically implementing whatever you have learned along your way.

Write and Follow Industry Experts

Following industry experts and influencers on platforms like LinkedIn will open up new avenues when it comes to the industry. From where you are, you can know what a company in Sweden or Mackenzie Basin in New Zealand is up to with respect to artificial intelligence. Such news and information might have the key to a concern you are facing and would help you bridge the gap between your theoretical and practical knowledge. The next step in mastering AI and ML is writing about it. You could write about your experiences with the technologies, some of the shortcomings you faced while learning and how you overcame them, rendezvous with other aspirants, breaking down complex concepts for other beginners, your insights on a few projects you worked on, your opinions and more. Topics are aplenty when it comes to AI and ML and all you have to do is start writing about them on platforms like Medium or LinkedIn.

Teach

Once you learn about these technologies, you could start teaching to other aspirants to further enhance your skills. Other beginners would have perspectives and questions you thought never existed and would give you an opportunity to learn new things from them and their questions. Teaching is also a revision in its own form and will help you get your basics right and keep in touch with the theories associated with the technologies.

Apart from these, you can also watch YouTube videos, attend workshops, listen to podcasts and read more to stay updated with the industry. However, constantly working on your practical knowledge is the key. Get your hands dirty often and you will come out evolving every single time.

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