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Rust Programming Specialization 2024

Original price was: $20.00.Current price is: $8.00.

Price: 8.00 USD | Size: 3.85 GB | Duration: 32.30+ Hrs
BRAND: Expert TRAINING | ENGLISH | INSTANT DOWNLOAD

Description

Price: 8.00 USD | Size: 3.85 GB | Duration: 32.30+ Hrs
BRAND: Expert TRAINING | ENGLISH | INSTANT DOWNLOAD

Descriptions

Rust Programming Specialization, Master Rust for Powerful Systems Programming. Learn to build robust and efficient software with Rust’s unique safety and speed through projects in data engineering, Linux tools, DevOps, LLMs, Cloud Computing, and machine learning operations. 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. Through over 20 hands-on coding projects like building a Rust chatbot, containerizing a web service, developing a Linux automation script, or optimizing a machine learning pipeline, learners will gain authentic, portfolio-ready experience applying their Rust skills to tackle real-world systems programming problems designed by experts at Duke University.

What you’ll learn

  • Computer Programming
  • Rust (Programming Language)
  • Cargo
  • Information Engineering
  • Cloud Computing
  • Command-Line Interface
  • Polars
  • Devops
  • AWS Lambda
  • Natural Language Processing
  • AI pair programming

 

Requirements

  • Beginner programming experience in any language. Familiarity with Linux, command line interfaces, or cloud services helpful.

 


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