Overview
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.
Syllabus
Course 1: Rust Fundamentals
- Offered by Duke University. This comprehensive Rust programming course welcomes learners of all levels, including beginners and those with ... Enroll for free.
Course 2: Data Engineering with Rust
- Offered by Duke University. Are you a data engineer, software developer, or a tech enthusiast with a basic understanding of Rust, seeking to ... Enroll for free.
Course 3: Rust for DevOps
- Offered by Duke University. Rust For DevOps is an intermediate level course for software engineers, system administrators, and technical ... Enroll for free.
Course 4: Python and Rust with Linux Command Line Tools
- Offered by Duke University. This course is designed for beginners and those with some programming experience in either Python or Rust that ... Enroll for free.
Course 5: Rust for Large Language Model Operations (LLMOps)
- Offered by Duke University. Do you aspire to be a Rust developer at the forefront of the AI revolution? This groundbreaking course is ... Enroll for free.
- Offered by Duke University. This comprehensive Rust programming course welcomes learners of all levels, including beginners and those with ... Enroll for free.
Course 2: Data Engineering with Rust
- Offered by Duke University. Are you a data engineer, software developer, or a tech enthusiast with a basic understanding of Rust, seeking to ... Enroll for free.
Course 3: Rust for DevOps
- Offered by Duke University. Rust For DevOps is an intermediate level course for software engineers, system administrators, and technical ... Enroll for free.
Course 4: Python and Rust with Linux Command Line Tools
- Offered by Duke University. This course is designed for beginners and those with some programming experience in either Python or Rust that ... Enroll for free.
Course 5: Rust for Large Language Model Operations (LLMOps)
- Offered by Duke University. Do you aspire to be a Rust developer at the forefront of the AI revolution? This groundbreaking course is ... Enroll for free.
Courses
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This comprehensive Rust programming course welcomes learners of all levels, including beginners and those with some programming experience. No prior knowledge of Rust is required, making it accessible to coding novices. Throughout the course, 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. You will understand the core concepts and syntax of Rust, learn effective code organization, error handling techniques, and explore Rust's package manager for efficient project management. By completing this course, you will have the skills to develop reliable and high-performance applications, regardless of your prior programming experience.
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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? Or are you a professional from another programming language background, aiming to explore the efficiency, safety, and concurrency features of Rust for data engineering tasks? If so, this course is designed for you. While a fundamental knowledge of Rust is expected, you should ideally be comfortable with the basics of data structures and algorithms, and have a working understanding of databases and data processing. Familiarity with SQL, the command line, and version control with git is advantageous. This four-week course focuses on leveraging Rust to create efficient, safe, and concurrent data processing systems. The journey begins with a deep dive into Rust's data structures and collections, followed by exploring Rust's safety and security features in the context of data engineering. In the subsequent week, you'll explore libraries and tools specific to data engineering like Diesel, async, Polars, and Apache Arrow, and learn to interface with data processing systems, REST, gRPC protocols, and AWS SDK for cloud-based data operations. The final week focuses on designing and implementing full-fledged data processing systems using Rust. By the end of this course, you will be well-equipped to use Rust for handling large-scale data engineering tasks, solving real-world problems with efficiency and speed. The hands-on labs and projects throughout this course will ensure you gain practical experience, putting your knowledge into action. This course is your gateway to mastering data engineering with Rust, preparing you for the next level in your data engineering journey.
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Do you aspire to be a Rust developer at the forefront of the AI revolution? This groundbreaking course is designed specifically to train you in Large Language Model Operations (LLMOps) using Rust. This course doesn't just scratch the surface; it takes a deep dive into how you can integrate Rust with sophisticated LLM frameworks like HuggingFace Transformers. We'll also explore how to effectively deploy these large models on cloud infrastructures such as AWS, all while incorporating DevOps methodologies tailored for LLMOps.
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This course is designed for beginners and those with some programming experience in either Python or Rust that want to implement automation and utilities in the command-line. Although no prior knowledge of Python or Rust is required, basic programming knowledge is recommended as well as some familiarity with the command-line interface (CLI). Throughout the course, you will gain a solid foundation for building efficient, reliable, and high-performance command-line tools that can help you automate tasks for data engineering, systems engineering, and DevOps. By completing this course, you will have the skills to develop and distribute sophisticated and efficient command-line tools.
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Rust For DevOps is an intermediate level 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. You will implement containerization, instrument your code for observability, and automate common administration tasks like file parsing and cron jobs. By the end, you will have the Rust and DevOps skills to rapidly develop robust large-scale applications, regardless of your specific technical role.
Taught by
Alfredo Deza and Noah Gift