The Rust Fundamentals course was fantastic for formalizing my base Rust knowledge. It was well-paced for both beginner and experienced developers.

Jeff Mitchell

Full Stack Developer

The course was incredibly informative and well-structured. I gained practical skills that immediately applied in my work, making it a highly valuable learning experience.

Eman Nisar

Data Scientist & ML Engineer

The course on AI Fundamentals is not only engaging but also practical. Having worked with AWS before, the way it explained Azure cncepts made switching seamless and easy to grasp.

Saurav Subash Prasad

Data Scientist

I can say that it's a great series of courses for those who are looking to practical MLOps knowledge.

Pasan Fernando

Graduate, Faculty of Engineering

This course got clear videos, exercises, and questions, and there are extra resources too. When you're done, you'll have a solid foundation to dive into topics like DevOps or ML.

Marijke Stein

DepSecOps Teamlead

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Same curriculum taught at Duke, Northwestern, and UC Davis

Practical, hands-on projects that mirror real-world challenges

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2 weeks, 48 lessons total which includes hands-on labs, quizzes, and a certification.

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The curated content for the bootcamp is based on the same material we use at top universities like Duke University, Northwestern, and UC Davis.

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The material and content goes beyond the basic theory and is meant for you to practice, enhancing your learning.

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Syllabus

This course is packed with useful content, curated from our experience working with top-tier universities and learners all around the world. Get certified at the end of this course with a shareable digital badge.

Week 1

Architectural overview
Understanding Github actions basics
Defining review criteria and standards
Overview of a similar Github action
Creating the Github action
Adding tests and Refining

Week 2

Using the BOT in a pull request
Challenges with Generative AI
Publishing to Github marketplace
Conclusion

Coding a Review Bot with AI