For all the self-taught geeks out there, here our content library with most of the learning materials we have produces throughout the years.
It makes sense to start learning by reading and watching videos about fundamentals and how things work.
Machine Learning Engineering (16 weeks)
Full-Stack Software Developer
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Curated list of small interactive and incremental exercises you can take to get better at any coding skill.
Curated section of projects to build while learning with simple instructions, videos, solutions and more.
Guides on different topics related to the technologies that we teach in our courses
Social & live learning
The most efficient way to learn: Join a cohort with classmates just like you, live streams, impromptu coding sessions, live tutorials with real experts, and stay motivated.
You are here because you want to become a Machine Learning expert. What an intelligent decision 🤯!
I don't have to tell you how AI is already shaping our world in ways that are impossible to explain. Almost every company uses AI nowadays: Every army in the world, airlines, streaming, all big companies use AI to predict and make better decisions.
Just as an example, here is a quick taste of what you will be capable of doing:
Note: Some of these example projects were developed by our graduates
These examples are just the tip of the iceberg; You will acquire knowledge during the course that will make you a perfect fit into most AI teams in the world; help you shape and develop today's most advanced Artificial Intelligence.
Today, our students are already working at companies like CEMEX, Blackstone, the City of Coral Gables (the most advanced city in the US in terms of AI), and many others.
You won't need any other course or training; all you have to do is work hard to practice what you learned and demonstrate the same skills you acquired in this course during your next job interview.
Note: Some of our graduates take up to 180 days to find a job in AI. The journey is different for everyone; It's up to you to take this challenge and work hard until it pays off. We will be with you during the whole process. You can do this!
The following are our four cornerstones applied into any of our courses:
The Prework is just the first module of the course: An introduction to python and data science.
In general terms, we will cover the following topics; please note that this table of contents is not written in stone and is subject to change without notice; our only goal is to give you a general idea of what to expect: