CF

Rust: The Complete Developer's Guide

9h 25m 40s
English
Paid

Rust: The Complete Developer's Guide is a 114-lesson 9 hours 25 minutes self-paced course by Stephen Grider, Udemy. Welcome to the most comprehensive and practical course for learning Rust from scratch!

Course facts

Lessons
114
Duration
9 hours 25 minutes
Level
All levels
Language
English
Updated
Instructor
Stephen Grider, Udemy
Price
Premium

Welcome to the most comprehensive and practical course for learning Rust from scratch! Rust is changing the approach to systems programming with its focus on memory safety, parallelism, and high performance. However, its unique concepts and syntax can be a challenging task for beginners. This course offers a structured and clear path to mastering Rust.

What sets this course apart?

We focus on a strong understanding of Rust's key concepts. No unnecessary information or skipped steps—only the important knowledge that will help you successfully use Rust in any project.

The course covers the most challenging aspects of Rust:

  • Ownership model in Rust? Explained in detail!
  • Lifetimes and borrowing? It's all here!
  • Traits and generics? You'll learn how to write flexible code using them.

The course is for those who want to truly understand Rust, not just copy code.

Whether you code in JavaScript, Python, or another language, you're in for a welcoming introduction to Rust's unique principles.

For seven consecutive years, Rust has been the "most loved programming language" according to the Stack Overflow developer survey. And it's not just a trend—major companies like Microsoft, Google, and Amazon are actively adopting Rust for critical systems. By mastering Rust, you're not only learning a language but also securing your career for the future.

What you will learn in this course:

  • Fundamentals of Rust's type system and how it ensures memory safety
  • Mastering pattern matching and destructuring for elegant and expressive code
  • Using error handling with Result and Option types
  • Organizing projects with Rust's module system
  • Implementing standard data structures and algorithms in Rust style
  • Managing dependencies and building projects using Cargo
  • In-depth understanding of Rust syntax and core concepts
  • Ability to write safe, efficient, and idiomatic code
  • Readiness for real-world projects in Rust and contributing to the ecosystem
  • Code optimization for performance and memory efficiency

How this course works:

This is not just another "follow-along" course. We have organized the learning process so you can truly master Rust:

  • Introduction to Concepts: Clear and concise explanations of each Rust feature
  • Live Programming: Implementing concepts in real-time with thought process explanations
  • Assignments: Test your understanding with carefully designed exercises
  • Project Work: Apply skills in practice by creating increasingly complex projects
  • Best Practices: Learn idiomatic Rust and standard code patterns

This is the course I wish I had when learning Rust. A course where the focus is on the most challenging parts, clear explanations, and discussion of the pros and cons of various solutions. Sign up and join us on the path to mastering Rust!

Who teaches Rust: The Complete Developer's Guide?

Stephen Grider

Stephen Grider thumbnail

Stephen Grider is one of the longest-running and most prolific instructors on Udemy, with a catalog covering essentially every major JavaScript framework, plus Docker, Kubernetes, AWS, and the broader full-stack development landscape. His teaching style is patient and project-oriented — most of his courses are structured around building a substantial application from scratch rather than working through disconnected tutorial examples.

The catalog covers React, Redux, Next.js, Vue, Angular, GraphQL, Node.js, Docker / Kubernetes, AWS infrastructure, React Native and Flutter for mobile, the algorithm / data-structure interview prep track, and the modern TypeScript / Bun / Rust adjacent material that working JavaScript developers increasingly encounter. Few independent instructors have maintained Stephen's breadth this consistently for this long.

The CourseFlix listing under this source carries over 25 Stephen Grider courses spanning that range. Material is paid; Stephen Grider courses are typically sold individually on Udemy. Courses are aimed primarily at developers picking up a specific technology through working through a complete project.

Udemy

Udemy thumbnail

Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.

Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.

What lessons are included in Rust: The Complete Developer's Guide?

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#1: 1 - Introduction
All Course Lessons (114)
#Lesson TitleDurationAccess
1
1 - Introduction Demo
01:02
2
2 - Rust Installation
02:08
3
4 - Creating and Running Rust Projects
03:22
4
7 - Representing Data with Structs
08:51
5
8 - Adding Functionality to Structs
06:19
6
9 - Arrays vs Vectors
06:12
7
12 - Implicit Returns
03:31
8
13 - Installing External Crates
05:50
9
14 - Using Code from Crates
07:56
10
15 - Shuffling a Slice
04:17
11
17 - Project Review
04:02
12
18 - Project Overview
03:10
13
19 - Defining Structs
03:38
14
20 - Adding Inherent Implementations
04:54
15
21 - A Mysterious Error
04:19
16
22 - Unexpected Value Updates
09:20
17
23 - The Goal of Ownership and Borrowing
06:06
18
24 - The Basics of Ownership
06:18
19
25 - Visualizing Ownership and Moves
12:31
20
26 - Exercise Overview
01:16
21
27 - Exercise Solution
01:39
22
28 - Another Quick Exercise
01:49
23
29 - A Quick Exercise Solution
03:41
24
30 - Writing Useful Code with Ownership
04:39
25
31 - Introducing the Borrow System
03:47
26
32 - Immutable References
08:54
27
33 - Exercise On References
01:23
28
34 - References Exercise Solution
02:04
29
35 - Mutable References
07:50
30
36 - Exercise on Mutable Refs
01:06
31
37 - Solution on Mutable Refs
06:23
32
38 - Copyable Values
04:08
33
39 - Basics of Lifetimes
07:27
34
40 - Deciding on Argument Types
04:52
35
41 - Back to the Bank Impl
02:29
36
42 - Implementing Deposits and Withdrawals
06:24
37
43 - Accounts and Bank Implementation
06:58
38
44 - Project Wrapup
01:45
39
45 - Project Overview
01:26
40
46 - Defining Enums
06:08
41
47 - Declaring Enum Values
01:21
42
48 - Adding Implementations to Enums
08:28
43
49 - Pattern Matching with Enums
03:45
44
50 - When to Use Structs vs Enums
03:00
45
51 - Adding Catalog Items
03:49
46
52 - Unlabeled Fields
05:53
47
53 - The Option Enum
05:33
48
54 - Option From Another Perspective
13:10
49
55 - Replacing Our Custom Enum with Option
02:51
50
56 - Other Ways of Handling Options
09:37
51
57 - Excercise Overview
01:39
52
58 - Exercise Solution
03:15
53
59 - Modules Overview
06:05
54
60 - Rules of Modules
02:55
55
61 - Refactoring with Multiple Modules
08:20
56
62 - Project Overview
01:35
57
63 - Reading a File
02:18
58
64 - The Result Enum
05:14
59
65 - The Result Enum in Action
06:42
60
66 - Types of Errors
03:10
61
67 - Matching on Results
03:05
62
68 - Empty OK Variants
07:36
63
69 - Exercise Around the Result Enum
01:30
64
70 - Exercise Solution
02:51
65
71 - Using a Result When Reading Files
03:55
66
72 - Tricky Strings
03:47
67
73 - The Stack and Heap
05:21
68
74 - Strings String Refs and String Slices
06:27
69
75 - When to Use Which String
10:53
70
76 - Finding Error Logs
07:49
71
77 - Understanding the Issue
11:15
72
78 - Fixing Errors Around String Slices
05:07
73
79 - Writing Data to a File
04:14
74
80 - Alternatives to Nested Matches
06:33
75
81 - The Try Operator
10:04
76
82 - When to Use Each Technique
07:28
77
83 - Project Overview
02:02
78
84 - Basics of Iterators
07:12
79
85 - Using For Loops with Iterators
04:36
80
86 - Iterator Consumers
04:33
81
87 - Iterator Adaptors
04:47
82
88 - Vector Slices
09:28
83
89 - Reminder on Ownership and Borrowing
04:47
84
90 - Iterators with Mutable Refs
04:39
85
91 - Mutable Vector Slices
01:15
86
92 - Collecting Elements from an Iterator
06:00
87
93 - How Collect Works
08:56
88
94 - Moving Ownership With IntoIter
06:45
89
95 - Inner Maps
04:13
90
96 - Reminder on Lifetimes
07:07
91
97 - Iterators Wrapup
05:46
92
98 - Collect Excercise
01:06
93
99 - Exercise Solution
00:55
94
100 - The Filter Method
00:46
95
101 - Filter Solution
01:07
96
102 - Lifetime Annotations
02:59
97
103 - A Missing Annotation
04:52
98
104 - A Review of Borrowing Rules
05:24
99
105 - What Lifetime Annotation Are All About
05:48
100
106 - Common Questions Around Lifetimes
06:21
101
107 - Lifetime Elision
07:34
102
108 - Common Lifetimes
05:44
103
109 - Project Setup
04:31
104
110 - Issues with Number Types
05:16
105
111 - The Basics of Generics
07:18
106
112 - Trait Bounds
04:13
107
113 - Multiple Generic Types
02:28
108
114 - Super Solve Flexibility
01:45
109
115 - App Overview
03:46
110
116 - Building the Basket
06:01
111
117 - Generic Structs
05:20
112
118 - More on Generic Structs
05:47
113
119 - Implementing a trait
05:30
114
120 - Generic Trait Bounds
02:34
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Frequently asked questions

What prerequisites should I have before starting this Rust course?
Before starting this course, it's beneficial to have a basic understanding of programming concepts. Familiarity with another programming language can be helpful but is not mandatory. The course begins with introductory lessons, including Rust installation and creating projects, which are designed to ease beginners into the Rust ecosystem.
What kind of projects or exercises will I work on in this course?
The course includes several projects and exercises designed to reinforce key Rust concepts. Notably, lessons cover projects such as implementing bank operations like deposits and withdrawals, as well as handling file reading. There are also numerous exercises focusing on critical topics like ownership, borrowing, and references.
Who is the target audience for this Rust course?
This course is aimed at developers interested in systems programming and those looking to leverage Rust's memory safety and performance features. It's suitable for both beginners and experienced programmers who want to learn Rust from the ground up and apply its unique concepts to real-world projects.
How does the depth and scope of this course compare to other Rust courses?
With 114 lessons, this course offers a comprehensive path to mastering Rust. It covers fundamental concepts like structs, enums, and modules, as well as advanced topics such as ownership, borrowing, and lifetimes. The structured approach ensures thorough coverage, making it suitable for learners who wish to gain a deep understanding of Rust.
What specific tools or platforms will I learn to use in this course?
Throughout the course, you'll learn to use Rust-specific tools and platforms such as external crates, which are introduced in lessons on installing and using code from crates. These tools help manage dependencies and extend the functionality of your Rust projects.
What topics or areas are not covered in this Rust course?
While the course covers a wide array of Rust concepts, certain advanced topics such as concurrency and asynchronous programming are not explicitly detailed within the lesson list provided. The focus remains primarily on memory safety, ownership, and core Rust features.
How much time should I expect to commit to complete this course?
The course consists of 114 lessons, with an emphasis on practical exercises and projects. The total runtime is not specified, but learners should be prepared to invest a significant amount of time in both the video content and hands-on coding exercises to fully grasp the material.