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<!DOCTYPE html>
<html lang="zxx">
<head>
<meta charset="UTF-8" />
<meta
content="width=device-width,initial-scale=1.0,maximum-scale=1.0"
name="viewport"
/>
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property="og:title"
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content="Saturdays.AI - Empowering anyone to learn AI"
/>
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Saturdays.AI - Empowering anyone to learn AI with impact
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gtag('js', new Date());
gtag('config', 'UA-147239476-1');
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Meet our
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Our team is passionate about AI and Human progress, we firmly believe that combining communities with technology is the best way to catalyze change and make the world a better place
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During the first half of the program we learn the foundations of machine-learning and deep-learning by coding exercises on GPU enabled environments in a collaborative way, assisted by facilitators and mentors. <br>
You need some knowledge in Python and handle the basics of data science libraries. <br> <br>
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In the second half of the program, we build end2end AI powered prototypes using what we learnt on the "code2learn" phase, working with the dataset and model of your choice, we address a real problem with AI. <br> <br>
We form multidisciplinary teams where diversity stands out.
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Finally, after completing the Saturdays sessions, we deliver a presentation on Demo Day where partners and the AI community celebrates your project showcase and what you have accomplished. <br> <br>
To submit your project you must have presented your work in an article in our blog and publish the code in open source through Github.
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An incredible <span class="color-orange f-weight">learning experience</span>
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Once you start to be part of Saturdays.AI you will have access to our private platform where we digitize all the contents:<br>
<b>$></b> recorded classes so you can see them again<br> <b>$></b> 1000$ of cloud resources in AWS<br> <b>$></b> discuss forums and more.
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The program consists of a minimum of 6 weeks, which can be extended according to the criteria of the city lead <br> <br>
<b>Level:</b> beginner
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The deep learning curriculum also consists of a minimum of 6 weeks. It requires a minimum of experience through key machine learning concepts, preferably through a project.<br> <br>
<b>Level:</b> intermediate
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FAQ
<br />
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<h4 class="color-orange size-4 font-size">
What is the difference between AI Saturdays and other programs?
<br />
</h4>
<p class="color-gray size-20">
Most of the facilitators have worked or are working in the industry, so we can cover relevant issues in a useful way. In addition, the focus of the lessons is not on teaching per se, but on giving you the tools to solve problems and meet all kinds of AI challenges yourself.
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What is the learning methodology?
<br />
</h4>
<p class="color-gray size-20">
Although everyone's learning method is different, we can tell you more about our teaching methodology: at the beginning we will give a brief summary of the week's material, pair you with classmates to do the exercises and provide you with plenty of food to feed your brain. In addition, we will leave some additional challenges if you want to go beyond what is covered during that week.
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What are the costs?
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We are a non-profit organization, however, there are some costs to keep the organization running with the best quality: such as breakfasts, materials provided, speakers, cloud resources, etc. The price is accessible to all people with a desire to learn. If you want to know more you have all the information on our website.
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What are we going to do every Saturday?
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</h4>
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During the week you will work on the week's resources. On Saturdays we will review what we have seen that week, solve doubts and propose challenges in groups to put into practice the knowledge we have learned. There will also be a breakfast prepared with a lot of love :)
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What are the projects about?
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The final projects will serve to demonstrate what was learned in the course, proposing a solution to a problem of social impact with the use of Artificial Intelligence. The projects should be shared as open source in the state they are in on the day of the presentation, but you can continue working on the project after the course is over if you wish.