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Master the Coding Interview: System Design + Architecture [Part 1]

3h 38m 58s
English
Paid

Go from Junior to a trusted Senior Engineer by learning how to think like a Senior Engineer. This course gives you the step-by-step guide to understanding technologies, decisions, and trade-offs required to confidently design the right system to accomplish any task or project thrown your way.

About the Author: Zero To Mastery

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Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.

The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.

The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.

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#1: Master the Coding Interview: System Design + Architecture
All Course Lessons (32)
#Lesson TitleDurationAccess
1
Master the Coding Interview: System Design + Architecture Demo
01:48
2
Course Introduction
05:28
3
Browsers
07:19
4
DNS
07:04
5
Web Servers
10:44
6
Load Balancer (Part 1)
09:51
7
Load Balancer (Part 2)
08:54
8
Databases
07:59
9
Caching
06:07
10
Jobs - Servers
07:33
11
Jobs - Queues
08:56
12
Services (Part 1)
04:06
13
Services (Part 2)
11:52
14
Data
05:07
15
Cloud Storage CDN
07:45
16
System Design Reminder
04:20
17
Principles of System Design - Availability
08:55
18
Principles of System Design - Reliability
03:27
19
Networking - OSI & TCP/IP
09:54
20
TCP IP
07:32
21
TCP Explained
09:54
22
UDP
03:42
23
Proxies
06:44
24
Exercise: Imposter Syndrome
02:57
25
Load Balancing Strategies
08:17
26
Server Clustering
05:37
27
Databases Intro
06:36
28
CAP Theorem CP
09:13
29
CAP Theorem AP
05:37
30
ACID and BASE Properties for Database Selection
10:57
31
What's Next?
03:25
32
Thank You!
01:18
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Frequently asked questions

What prerequisites should I have before enrolling in this course?
It is recommended that students have a foundational understanding of computer science concepts and some experience with software development. Familiarity with basic networking, databases, and web technologies will be beneficial for grasping the concepts discussed in topics such as DNS, Web Servers, and Load Balancers.
What kind of projects or systems will I learn to design in this course?
The course focuses on the design of scalable and reliable systems. You will learn about various components like Load Balancers, Databases, Caching, and Cloud Storage CDNs, and how to integrate them into a well-architected system. The emphasis is on building systems that can handle significant load and maintain high availability and reliability.
Who is the target audience for this course?
This course is designed for engineers who aim to transition from junior to senior-level roles. It is ideal for those who want to enhance their understanding of system design and architecture to tackle complex engineering challenges and make informed decisions about trade-offs in system design.
What specific technologies or tools are covered in the course?
The course covers a wide range of technologies and concepts, including DNS, Web Servers, Load Balancers, Databases, Caching, and Proxies. It also delves into networking concepts such as OSI & TCP/IP models, and protocols like TCP and UDP.
What topics are not covered in this course?
The course primarily focuses on system design and architecture principles rather than on specific programming languages or frameworks. It does not cover detailed coding exercises or front-end development technologies.
How much time should I expect to commit to this course?
While the total runtime of the video content is currently unspecified, students should anticipate spending additional time on exercises, reviewing materials, and understanding complex concepts like CAP Theorem and ACID vs. BASE properties. A commitment of several weeks, dedicating a few hours each week, is advisable for a thorough understanding.
How will this course benefit my career in the long term?
By mastering the principles of system design and architecture, students will be equipped to handle senior engineering roles that require designing scalable and reliable systems. The skills learned, such as understanding Load Balancing Strategies and Database Selection, are applicable in various tech industries, enhancing career opportunities and the ability to tackle complex projects.