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System Design for Beginners

5h 21m 21s
English
Paid

System Design for Beginners is a 21-lesson 5 hours 21 minutes self-paced course by NeetCode. The course "System Design for Beginners" is the key to understanding the fundamentals of designing scalable and efficient software systems.

Course facts

Lessons
21
Duration
5 hours 21 minutes
Level
All levels
Language
English
Updated
Instructor
NeetCode
Price
Premium

The course "System Design for Beginners" is the key to understanding the fundamentals of designing scalable and efficient software systems. Whether you're a novice programmer or an experienced developer looking to expand your knowledge, this course offers valuable lessons.

Who teaches System Design for Beginners? NeetCode

NeetCode thumbnail

NeetCode (neetcode.io) is the technical-interview-preparation platform of Navi (formerly an engineer at Google), behind one of the larger DSA-focused YouTube channels online. NeetCode's distinctive contribution is the curated NeetCode 150 and NeetCode 250 problem lists — pattern-grouped sets of LeetCode questions that have become a default reference for engineers preparing for the algorithm portion of senior tech-company interviews.

The course catalog covers algorithms and data structures in depth, system design for senior interviews, the OOP / design-patterns material that shows up in low-level design rounds, and the broader interview-prep landscape. Material is taught in Python, Java, and JavaScript with the same problem solved across multiple languages.

The CourseFlix listing under this source carries 7 NeetCode courses spanning that range. Material is paid; NeetCode runs on per-course or membership pricing on the original platform. Courses are aimed at engineers preparing for technical interviews at large tech companies.

What lessons are included in System Design for Beginners?

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#1: 0. Computer Architecture
All Course Lessons (21)
#Lesson TitleDurationAccess
1
0. Computer Architecture Demo
14:10
2
1. Application Architecture
11:05
3
2. Design Requirements
26:05
4
3. Networking Basics
15:33
5
4. TCP and UDP
09:38
6
5. DNS
10:07
7
6. HTTP
22:31
8
7. Websockets
08:58
9
8. API Paradigms
29:27
10
9. API Design
21:25
11
10. Caching
21:00
12
11. CDNs
11:13
13
12. Proxies and Load Balancing
13:44
14
13. Consistent Hashing
14:50
15
14. SQL
18:47
16
15. NoSQL
17:35
17
16. Replication and Sharding
16:52
18
17. CAP Theorem
11:57
19
18. Object Storage
05:54
20
19. Message Queues
08:16
21
20. MapReduce
12:14
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Frequently asked questions

What prerequisites should I have before taking this course?
Before enrolling, you should have a basic understanding of programming concepts. Familiarity with web development and network protocols, such as HTTP and TCP/IP, will be beneficial, as these topics are covered in the course.
What kind of projects or systems will I learn to design?
The course focuses on designing scalable software systems. You will explore various components like APIs, caching, consistent hashing, and message queues, learning how to integrate these into a cohesive system design.
Who is the target audience for this course?
This course is ideal for novice programmers who want to understand system design fundamentals and experienced developers seeking to enhance their knowledge of scalable and efficient software architectures.
How does the depth of this course compare to similar courses?
This course provides foundational knowledge in system design, focusing on topics such as computer architecture, networking, and data storage. It's designed for beginners, offering a broad overview rather than an in-depth exploration of each topic.
What specific tools or platforms will be covered in the course?
The course doesn't focus on specific tools but covers important concepts like SQL, NoSQL databases, and object storage. It also includes discussions on web protocols such as HTTP, Websockets, and DNS.
What topics are not covered in this course?
The course does not cover advanced system design topics such as microservices architecture, containerization with Docker, or orchestration tools like Kubernetes. It remains focused on foundational concepts.
How much time should I expect to commit to complete this course?
While the total runtime is not specified, the course includes 21 lessons. To fully grasp the material, you should allocate time for each lesson and additional hours for practical application and review.