Armando Banuelos
Armando Banuelos
Software Engineer & Educator

Armando Banuelos is a seasoned software engineer with a passion for driving technological advancements. Previously, he served as a Software Engineer at the Chan Zuckerberg Initiative, where he contributed to groundbreaking projects impacting K12 education around the world. Previously, Armando was a Software Engineer at IBM, and has been involved in cutting-edge education throughout his career as a Machine Learning Course Developer at Stanford University. Armando holds a Bachelor's degree in Computer Science from Stanford University and a Master's degree in Computer Science from Georgia Tech.

Courses
Kubernetes: Managing Containers at Scale
Created and Taught By
Ian Miell - Instructor photo
Partner, Container Solutions
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Armando Banuelos - Instructor photo
Software Engineer & Educator
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Natural Language Processing
Created and Taught By
Armando Banuelos - Instructor photo
Software Engineer & Educator
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Python for Machine Learning
Created and Taught By
Armando Banuelos - Instructor photo
Software Engineer & Educator
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Testimonials

It is hard to believe how much I have learned in the span of a month. I was able to take my theoretical knowledge and convolve it with applied experience through the Uplimit course. I feel more confident in building my own deep learning architecture, and appreciate the reference to the material through the course and access to mentors. The Uplimit course takes you to the cutting edge of knowledge. Highly recommend.

Anudeep YegireddiFounder, Sidebrain

Absolutely stoked to share this! Over the last month I had the pleasure of learning from some of the great minds coming out of Facebook, Google, and other enterprises doing bleeding edge work in Machine Learning and Natural Language Processing. Being part of a select cohort spanning three continents I was able to hear about initiatives and research from AI/ML professionals around the globe. NLP is a fast emerging sector that is changing the landscape of software everywhere you look. I'm so honored to be part of this experience and am taking away so many great connections and insights in a field that I really love.

Erik JakubowskiSoftware Engineer, Financial Tech

The co:rise NLP course has been the most efficient way I've ever learned new skills. Having access to talented instructors and peers made the learning process both quicker and richer.

Jason EllicotData Scientist III, J.B. Hunt

You will go from zero to MLhero with this course. A lot of concepts clicked for me with this training, we went beyond the classic reading and blog post and got really into the weeds and ins-and-outs of the different topics.

Angel Alvarado RobledoLead Software Engineer, Alluma

This course is a great way to familiarize yourself with state-of-the-art NLP techniques. You will go from building skip-gram models to classify emotions to text-prediction with transformers in 4 weeks.

Jacob WoodData Scientist, Expedia Group

I really enjoyed the course and the community around it. I think it was a great way to not only learn about NLP, but also connect with other engineers in the field.

Julie KalliniSoftware Engineer, Facebook

An exceptional opportunity for motivated students. You will gain broad awareness and practical experience using state-of-the-art NLP techniques that can get you up to speed in this fast-moving field. The mentorship available to students is unparalleled.

Cole ShortAssistant Professor of Strategy at Pepperdine Graziadio Business School

I really appreciated the NLP course. I feel like every aspect of the course, from the work Judy did creating community, managing slack, and making sure we were all taken care of, to the instruction and support from Sourabh and Kaushik. I learned so much in this course, and had a great time learning from my fellow participants as well. I've finished this course feeling like I have a solid footing to move forward with NLP applications in the future. Thanks!

Simon GoringAssistant Scientist at University of Wisconsin-Madison

This course gives you a great overview of modern NLP techniques in just 4 weeks. But more importantly, you learn from people who use it in very big real life projects and have a change to get knowledge that wouldn't be available in a blog post

Oleksii AleksieievSoftware Engineer @ Johnson & Johnson