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Deep Learning Essentials

Learn the foundations of deep learning and practice with training and building neural networks in PyTorch! Topics including transformers, convolutional neural networks (CNNs), and state-of-the-art generative AI models like ChatGPT and StableDiffusion.

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Kevin Wu
PhD at Stanford; formerly at Waymo, Microsoft
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Eric Wu
PhD at Stanford, formerly at Google
Price
US$ 400
or included with membership
Duration
Coming soon
Sold out, but you can still join the waitlist!

Course taught by expert instructors

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Kevin Wu

PhD at Stanford; formerly at Waymo, Microsoft

Kevin Wu, like his brother Eric, is a Ph.D. student at Stanford University. Previously, he spent time building deep learning products at a startup and has worked for Microsoft and Waymo. His current research focuses on applying AI to areas like clinical trials and genomics, as well as studying the generalizability of medical AI algorithms used in practice.

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Eric Wu

PhD at Stanford, formerly at Google

Eric Wu is a Ph.D. student at Stanford University, where he has published in major journals and conferences at the intersection of deep learning and health. Previously, he studied at Harvard and Duke University, where he taught introductory data science and deep learning courses, and worked at Google and DeepHealth, a health tech start up.

The course

Learn and apply skills with real-world projects.

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Prerequisites
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A course you'll actually complete. AI-powered learning that drives results.

AI-powered learning

Transform your learning programs with personalized learning. Real-time feedback, hints at just the right moment, and the support for learners when they need it, driving 15x engagement.

Live courses by leading experts

Our instructors are renowned experts in AI, data, engineering, product, and business. Deep dive through always-current live sessions and round-the-clock support.

Practice on the cutting edge

Accelerate your learning with projects that mirror the work done at industry-leading tech companies. Put your skills to the test and start applying them today.

Flexible schedule for busy professionals

We know you’re busy, so we made it flexible. Attend live events or review the materials at your own pace. Our course team and global community will support you every step of the way.

Timeline

Completion certificates

Each course comes with a certificate for learners to add to their resume.

Best-in-class outcomes

15-20x engagement compared to async courses

Support & accountability

You are never alone, we provide support throughout the course.

Get reimbursed by your company

More than half of learners get their Courses and Memberships reimbursed by their company.

Hundreds of companies have dedicated L&D and education budgets that have covered the costs.

Reimbursement

Course success stories

Learn together and share experiences with other industry professionals

Eric and Kevin are exceptional at being able to distill complicated subjects into easy-to-understand insights. I usually find learning subjects online to be dry and confusing, but found their teaching style to be exciting and intuitive. I would highly recommend taking this course with them.

Dan ChernProduct Manager @ Facebook

Reasoning about the ins and outs of deep learning has been super important for my work as a machine learning engineer. Eric and Kevin really know their stuff and can explain it with contagious enthusiasm. You’ll really enjoy their course!

Joshua PhamMachine Learning Engineer @ Spotify

As a product manager at a computer-vision based start-up, I’m constantly thinking through what deep learning can (or can’t) do for my team. Eric and Kevin have been able to explain emerging research fields in digestible ways every time. Their previous experience at big tech companies like Google and Waymo also helps them speak a common “tech” language that you don’t always get with folks in academia. This course will help you in your career, whether you are working with deep learning at a high level or want to become a machine learning engineer.

Dhruv MaheshwariSenior Product Manager @ KeepTruckin, former Google PM

Kevin and Eric are passionate machine learning experts who also happen to be great storytellers. During our time at Harvard, I’ve sought them out many times for deep learning advice, and they’ve always been very helpful in explaining cutting edge concepts with ease. I would definitely recommend anyone who has an interest in deep learning to take their course!

Tommy Pan FangIncoming professor at Rice University, Harvard Business School PhD

I'm amazed by the deep learning skills I've learned in just 4 weeks. Eric and Kevin are extremely knowledgable about the theory and application of deep learning, and really know how to explain it in a way that makes sense to anyone. I felt fully supported in my learning journey and appreciated being surrounded by other motivated peers. This course is already making a huge impact in my career as I transition into a new role as a machine learning engineer. Highly recommend this course for anyone who wants to dive into deep learning!

Maggie LinSenior Software Engineer at Guru

It was a privilege to learn from Kevin and Eric! Through their lectures, assignments and one-on-one feedback, I was able to learn deep-learning concepts that were foreign to me. They truly cared for the learning and development of each student in their class. Thank you so much!

Mateo IbarguenData Scientist at HealthCare.com

The Deep Learning Essentials course was a fantastic course for generalist software developers like me who are interested in getting their hands dirty with deep learning. The class goes from covering the basics of network training to having you fine-tune state of the art foundation models with applications in computer vision and NLP. What I loved most about the class is that it gives you the vocabulary, experience, and confidence to either collaborate more closely with ML engineers in your company or pivot into an ML role yourself.

Max AllenRisk Engineering @ Ramp

Joining the Uplimit Community was the best thing I did for my career. Uplimit showed me the right practical way towards Machine Learning. Now I am ML Research Fellow in NLP domain.

Zeina SaadeddinResearch Fellow @ Fatima Fellowship

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