This comprehensive Rust Specialization from Coursera and Duke University offers software engineers, data scientists, and technical professionals the opportunity to master Rust programming for robust systems and machine learning applications.
Over five courses, participants will learn foundational syntax, advanced machine learning integrations, and hands-on projects. The curriculum covers Rust's core concepts, data engineering, DevOps, Linux command line tools, and large language model operations.
Upon completion, participants will have the skills to pursue roles like Platform Engineer, MLOps Engineer, Data Engineer, Embedded Engineer, or Backend Developer.
Certificate Available ✔
Get Started / More Info
The Rust Specialization covers Rust fundamentals, data engineering, DevOps, Linux command line tools, and large language model operations, providing practical skills for real-world challenges.
Master Rust's core concepts like ownership, borrowing, and lifetimes to write efficient, reliable, and safe code. Utilize advanced features such as enums, structs, traits, and generics to build robust applications. Develop, document, test, and debug Rust projects using Cargo, Rust Analyzer, and other tools in the Rust ecosystem.
For data engineers and software developers, this course delves deep into leveraging Rust for data engineering tasks, covering data structures, collections, safety, security, libraries, tools, and interfacing with data processing systems, REST, gRPC protocols, and cloud-based data operations. Practical labs and projects ensure hands-on experience for real-world data engineering challenges.
Learn to apply DevOps principles and workflows to build, deploy, and operate applications using Rust. Gain insight into system observability, logging, monitoring, and automation of system administration tasks using Rust for improved efficiency.
Explore building powerful command line tools in Rust and Python. Understand the synergy between Python and Rust for creating efficient and robust tools to cater to various system requirements.
Master the deployment of Rust for intricate large language model operations workflows, equipping professionals with the skills to tackle complex tasks in this domain.
Enroll in the Cloud Data Engineer Professional Certificate en Español to gain skills in data engineering, machine learning, and cloud data pipelines, preparing...
Demand Forecasting Using Time Series is a specialized course focusing on building ARIMA models in Python for demand prediction and exploring advanced neural networks...
Launching into Machine Learning en Español is a comprehensive course that covers data quality improvement, exploratory data analysis, training models with AutoML...
This hands-on project delves into Scikit-Learn for machine learning classification problems, teaching you to build, train, and evaluate classifier models efficiently....