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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5 weeks, 142 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

Getting started and course Gotchas
Mlops background
Key terms
Considering the Mlops Maturity models
What is continuous integration
Key terms
Ci for Microservices
End to end Mlops Huggingface spaces
Quiz

Week 2

Key terms
What is Colab
Additional readings
Key terms
Simulations VS experiment tracking
Additional readings
Key terms
Additional readings
Lesson reflection
Quiz

Week 3

Key terms
Key components of Github Ecosystem
Using Github templates
Key terms
Query Databricks pipeline
Building data Ingestion Pipelines on AWS
Key terms
Building a python NLP project with python fire
Extending google cloud functions
Quiz

Week 4

Key terms
Containerized continuous delivery
Containerized machine learning
Key terms
Amazon Codewhisperer VS Github Copilot
Additional readings
Key terms
Prototyping AI APIS
Using transfer learning
Quiz

Week 5

Key terms
Configure RUST for AWS Cloud9
Key terms
Rust GPU Hugging face translator
Pytorch stable Diffusion RUST with GPU
Key terms
Build and Deploy RUST Microservice via google cloud run
Monitoring and logging with RUST for google APP engine
Quiz

DevOps, DataOps, and MLOps