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Rust Programming

This comprehensive Rust Specialization from Coursera and Duke University, a top Data Science and AI program, provides software engineers, data scientists, and technical professionals with applied skills to leverage Rust’s speed, safety, and versatility for robust systems programming. Over five courses spanning foundational syntax to advanced machine learning integrations, master Rust programming through hands-on lessons and 20+ coding projects, then tackle real-world challenges like building a database migration tool, optimizing an ML pipeline, or creating a Linux automation script. Upon completion, you'll have portfolio-ready Rust abilities to apply for roles like Platform Engineer, MLOps Engineer, Data Engineer, Embedded Engineer, or Backend Developer.

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What's inside

Five courses

Rust Fundamentals

(0 hours)

This comprehensive Rust programming course welcomes learners of all levels, including beginners and those with some programming experience. You will gain a solid foundation in Rust programming and develop proficiency in advanced concepts, enabling you to write efficient, reliable, and high-performance code.

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Data Engineering with Rust

(0 hours)

Are you a data engineer, software developer, or a tech enthusiast with a basic understanding of Rust, seeking to enhance your skills and dive deep into the realm of data engineering with Rust? This four-week course focuses on leveraging Rust to create efficient, safe, and concurrent data processing systems.

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Rust for DevOps

(0 hours)

Rust For DevOps is an intermediate course for software engineers, system administrators, and technical professionals looking to apply DevOps principles using Rust. This course is for you if you have beginner level programming experience and are familiar with Linux, Git, and Docker fundamentals. Through video lessons and coding exercises, you will gain practical Rust skills to build, deploy, and monitor applications using DevOps workflows.

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Python and Rust with Linux Command Line Tools

(0 hours)

This course introduces Python and Rust for building command-line tools for automation and utilities. It covers the basics of both languages and the command-line interface (CLI). Students will learn to develop efficient, reliable, and high-performance tools for data engineering, systems engineering, and DevOps.

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Rust for Large Language Model Operations (LLMOps)

(0 hours)

Do you aspire to be a Rust developer at the forefront of the AI revolution? This course trains you in Large Language Model Operations (LLMOps) using Rust. We'll explore how to integrate Rust with sophisticated LLM frameworks like HuggingFace Transformers and effectively deploy these large models on cloud infrastructures such as AWS, all while incorporating DevOps methodologies tailored for LLMOps.

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Time

1 hours

Level

Introductory

Via

Coursera

Institution

Duke University

Instructors

Noah Gift

Alfredo Deza

Level

Introductory

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