This video outlines skills for becoming a web developer, focusing on backend and frontend development. Backend development requires choosing a language (Python recommended for beginners), learning Git, data structures/algorithms, design patterns, and databases (SQL and NoSQL). Frontend development necessitates HTML, CSS, JavaScript, TypeScript, and a UI framework (React suggested). Additional frontend skills include CSS pre-processors (Sass), CSS frameworks (Tailwind), and automated testing. The estimated learning time for each skill is provided, totaling roughly 12 months for backend and 6 months for frontend. The speaker argues for beginning with backend development, emphasizing the benefits of building a strong programming and problem-solving foundation before tackling frontend development. This advice is supported by contrasting the learning experience of starting with either backend or frontend. This segment highlights the crucial role of Git for version control and collaboration, emphasizing the 80/20 rule for efficient learning. It then transitions to the importance of understanding data structures and algorithms, a critical area often overlooked by self-taught programmers.The speaker stresses the significance of computer science fundamentals, specifically data structures and algorithms, for long-term success and interview preparedness, especially at larger tech companies. A 1-2 month study period is recommended.This segment introduces design patterns as proven solutions to common software design problems. While acknowledging the difficulty of the classic "Design Patterns" book, the speaker offers a more practical, modern approach to learning these patterns, emphasizing their relevance to popular web frameworks.The speaker explains the differences between relational and NoSQL databases, providing examples of each type and recommending MySQL and MongoDB as good starting points for beginners. Realistic learning timelines (one month each) are suggested.This segment covers web frameworks, explaining their purpose and importance in backend development. It provides examples of frameworks for different programming languages and suggests a 2-month learning timeline for each, culminating in a 12-month roadmap for entry-level backend developer job readiness.This segment outlines the core frontend languages: HTML, CSS, and JavaScript. It explains their respective roles in web development and provides estimated learning timelines, emphasizing the potential challenges of learning JavaScript for beginners.The segment discusses advanced frontend skills, including TypeScript, UI frameworks (React, Angular, Vue), and their importance in landing a frontend developer job. It emphasizes the importance of mastering JavaScript before tackling React and provides estimated learning timelines.This segment acknowledges the competitive nature of frontend development and introduces additional skills to enhance job prospects. It sets the stage for the discussion of advanced frontend technologies.This segment covers CSS preprocessors (Sass, Less, Stylus), CSS frameworks (Bootstrap, Tailwind), and automated testing (Jest, Vitest), explaining their benefits and offering recommendations for beginners. Realistic learning timelines are provided for each.This segment introduces meta frameworks (Next.js, Remix) as advanced tools for enhancing frontend development capabilities. It recommends Next.js for React applications and provides a learning timeline. The speaker concludes by summarizing the essential skills for frontend development. This segment details the importance of choosing a programming language for backend development, discussing various options (JavaScript, Python, Ruby, Java, C, Go) and their respective applications. It stresses the importance of focusing on one language and considering job market demands in one's location.The speaker provides personalized recommendations for beginner backend developers, suggesting Python as the easiest starting point, followed by Java. JavaScript is discussed, but deemed less ideal for backend development initially. A realistic 2-month learning timeline with daily dedicated study is proposed. also called no SQL databases. In relational databases, data is stored in tables with rows and columns that are related. that's why we call them relational databases. These databases are best for applications that require complex queries and transactions like banking systems and e-commerce applications, especially any application that needs. Complex reporting. Examples of relational database engines are MySQL Postgress, SQL server and Oracle. These are different products that despite some differences work more or less the same way with all these products, we retrieve or store data using a language called SQL. Some people call it SQL, which is short for structured query language. It's a simple language that looks like plain English. Now you don't need to learn all these database engines because different projects and teams use different database engines. When you're starting out, you just need to learn one of them and you can easily pick up others on the job out of these, I would recommend MySQL because it's the most popular database engine, but you can pick any other database engine that you like one month is enough to learn the essence of SQL and working with