{"id":24060,"date":"2021-06-13T19:40:00","date_gmt":"2021-06-14T02:40:00","guid":{"rendered":"https:\/\/www.springboard.com\/blog\/?p=24060"},"modified":"2023-07-13T00:05:31","modified_gmt":"2023-07-13T07:05:31","slug":"ai-portfolio","status":"publish","type":"post","link":"https:\/\/www.springboard.com\/blog\/data-science\/ai-portfolio\/","title":{"rendered":"How to Build A Stand-Out Artificial Intelligence Portfolio?"},"content":{"rendered":"\n

Often we get to hear \u2013 \u201cThe first impression is the last impression\u201d and arguably this holds true on how important it is to create a jaw-dropping artificial intelligence portfolio when applying for a position in artificial intelligence or machine learning domain. There are two important prerequisites for AI jobs: the required artificial intelligence skills and an impressive artificial intelligence portfolio to prove you actually have them.<\/p>\n\n\n\n

Whether you\u2019ve just graduated from Springboard\u2019s Artificial Intelligence and Machine Learning program<\/a> or are looking to land a top artificial intelligence job, you already know how important an artificial intelligence portfolio is. Without one, hiring managers and employers won\u2019t have any way to gauge your artificial intelligence skills. A robust artificial intelligence portfolio is the most important weapon to have that competitive edge over others that merely depend on experience and certifications to get through the job door.<\/p>\n\n\n\n

If you\u2019re a beginner in artificial intelligence and lack years of experience, this article is for you. It will tell you how to build a stunning artificial intelligence portfolio that will get the interview doors open and help you win the job. Even if you aren\u2019t new to artificial intelligence, it is important not to neglect your artificial intelligence portfolio. Maybe you have a PhD in Math\/Statistics, and have completed some remarkable AI projects on NLP or Computer Vision \u2013 all the more reason to update your artificial intelligence portfolio is to better build off your experience in AI. No matter at what experience level you\u2019re in your artificial intelligence career, it is at all times important to have a portfolio to show off your work and AI projects you\u2019ve collaborated on, what you like to do, and your professional career growth goals.<\/p>\n\n\n\n

Artificial Intelligence Portfolio \u2013 Getting Started<\/strong><\/h2>\n\n\n\n

Here at Springboard, we\u2019ve written a lot about what to include in your data science portfolio<\/a> and machine learning portfolio<\/a>. And it\u2019s a worthy topic to discuss! Data science<\/a> and machine learning portfolios<\/a> are like eye candy. Toss in some cool projects to showcase your data science and machine learning skills and boom! You\u2019ve got a great portfolio that employers can drool over. However, an Artificial Intelligence portfolio can be a little more mysterious. Are prospective employers or hiring managers really going to be impressed by a couple of projects that demonstrate one or two artificial intelligence skills? And how do you even show them the projects you\u2019ve made? A bunch of projects on spam detection, housing price prediction, or iris flower classification that work really well and are good to wrangle about. That\u2019s not likely to leave many prospective employers impressed as these are some run-off-the-mill projects for learning the rudimentary concepts and when it comes to creating an artificial intelligence portfolio, it should be stellar. You\u2019ll need a rockstar artificial intelligence portfolio to impress the recruiters and build a rewarding artificial intelligence career.<\/p>\n\n\n\n

What Employers look for in an Artificial Intelligence Portfolio?<\/strong><\/h3>\n\n\n\n

When prospective employers screen for AI engineers, there is a certain set of criteria they will be looking for. They want to know:<\/p>\n\n\n\n