Você quer levar sua carreira de desenvolvimento de software para o próximo nível. Quais cursos você deve fazer?

Learn how to learn. The relatively best way is First Principles thinking. Learn to iterate. There is no better way to learn programming without practising. Learning to learn will make us adapt to every changes in the software development industry interms of languages, tools, practices, frameworks

1. Learn at least one of the cloud services (AWS, Azure, GCP) 2. Learn in & outs of NoSQL databases 3. On any software development project, not only focus on the "part" that you are assigned, instead gather full end-to-end understanding of the product.

In my experience what i learned is always make one technology stack clear and have a familiar with other tech stacks. Get the core things of one technology, make concepts clear and then other techs will be much easy if those are on parallel lines. Without having core concepts strong and jumping into multiple technologies by looking at just market trends will always spot you in difficult situations.

It depends on which tech stack you currently work on. At least you should be familiar with one of the programming languages like C, C++ or Java or any and one of the front end UI frameworks like angular, react, vue or any and the last one is that you should learn or gain experience in one of the cloud tech like AWS, Azure or GCP. Keep yourself updated with all the modern advancements happening in your tech stack. Another important thing to note is that your ability to write automated unit tests, CICD pipelines and writing SQL(Relational and at least one NoSql).

I would recommend straight 4 courses by Hussain Nasser in Udemy; his courses on - i) Backend Development, ii) Networking, iii) Database Design, iv) Nginx.

While anyone can write code to address the immediate problem, what distinguishes an engineer is developing clean code considering for future possibilities. Along with the books that are available online, I’d recommend the best way to gain constructive feedback is by seeking mentorship from senior engineers within the team. Oftentimes this is underrated, but discussions regarding the current project and code reviews can foster professional growth

Software development is very broad. Narrowing down what area of software development you would like to go into is key. This will allow you to learn the relevant skills, technologies, and knowledge that are popularly used in that area. Find a good reputable course that will solidify your foundations of programming principles in your chosen language and other relevant computer science principles. Building your knowledge and career on a solid foundation will make it easier in the long run you will need to adapt to new technologies and challenges.

- Start with DSA and Design patterns. - Learn coding best practices as anyone can write the code. - Try to think about maintainability of the code while writing.

Platforms like edX, Pluralsight, and Udacity offer courses that delve into various aspects of software design, testing, architecture, security, agile development, quality assurance, and more. These courses provide insights into the software development lifecycle, emphasizing crucial practices such as version control, debugging, documentation, and code review. By acquiring knowledge in concepts like abstraction, modularity, encapsulation, coupling, cohesion, scrum, kanban, test-driven development, code smells, and design patterns, developers can elevate their proficiency and adhere to industry best practices, fostering robust and efficient software development.

i cannot overstate how helpful a grounding in the principles of computer science, data structures and algorithms, has been to my career as a programmer

The understanding of data structures and algorithms should never leave the front of every developer mind. The difference between a Set and a List can became a huge performance problem that can kill the user experience. Most of applications nowadays works with millions and millions of data elements and it is not enough to deliver a code without errors, it is a necessity to deliver a code that is also faster and faster.

Learning data structures and algorithms is crucial for advancing in software engineering. They serve as the foundation for efficient problem-solving and optimization in coding. Mastering these concepts enhances your ability to design scalable and performant solutions, making you a more effective and sought-after developer. Regular practice, solving problems on platforms like LeetCode or HackerRank, can sharpen your skills and boost your confidence in tackling complex challenges.

Mastering data structures is imperative for crafting efficient algorithms and optimizing code. A solid understanding enables me to choose the right data structures for diverse scenarios, improving performance and scalability. It's the key to solving complex problems and creating robust, high-performance software.

Start with the fundamentals and do not give in the temptation to use the fancy tools that are available today and generate code automatically based on couple of sentences. It's like saying you know to drive a car if the car is autonomous. I remember how much I disliked the "Basic Data Structure" during university and how much it helped me in the long run. All 3 platforms are a great way to start and I highly recommend them

You can search for all these courses, a simple Google search would do. Before starting on very long web development courses, we can focus on smaller steps in the same order I’ve outlined below: 1. Be strong with your programming language - Java is preferred as of now, but whatever you are comfortable with is fine. 2. Learn internals of your chosen framework- For example, Knowing Spring Boot internals would surely set you apart from other devs. 3. Learn working of any Relational Database 4. Learn JS, and any framework on top of it. (Say, React) Learning is not of much use without practice. 5. Build Flipkart/Amazon clone by yourself. Start from Requirements gathering, and complete this until testing.

Courses only take you so far — If you want to learn something, come up with a project and solve it piece by piece with the necessary technology e.g. you want to build a website? Start with the content, and learn how to structure it with HTML, then make it pretty using CSS. Now if you want some interactivity or want to work with dynamic data, sprinkle in some JavaScipt. I can highly recommend MDN Web Docs for that purpose. Not only do they have detailed API documentation of basically all the Web APIs but they also offer great guides and learning recourses.

Comprehend the technical aspects of application development regardless of the programming language used. In backend development, strive to grasp how data flows between components and ask the right product questions behind this design. In front-end development, enhancing your skills with the current technologies is undoubtedly beneficial.

Back-end Development: Behind the scenes, back-end developers architect the logic and functionality that powers applications. From crafting APIs to managing databases, they lay the foundation for seamless data flow and functionality. Frontend Development: On the user-facing side, frontend developers bring designs to life. Through HTML, CSS, and JavaScript wizardry, they create engaging interfaces that users interact with. It's the art of blending aesthetics with functionality. DevOps Harmony: In this symphony of development, DevOps engineers play the conductor's role. Their expertise in automation, continuous integration, and deployment orchestrates a seamless workflow, ensuring agility, reliability, and scalability.

1. **Advanced JavaScript**: Master modern JS features and frameworks. 2. **Backend Development**: Learn server-side scripting with Node.js, Python, or Ruby. 3. **Database Management**: Acquire skills in SQL and NoSQL databases. 4. **Frameworks and Libraries**: Explore popular frameworks like React, Angular, or Vue.js. 5. **APIs and Microservices**: Understand building and consuming APIs. 6. **Responsive Design**: Learn CSS frameworks like Bootstrap for mobile-friendly apps. 7. **Version Control/Git**: Master collaborative coding with Git. 8. **Security Basics**: Gain insights into web security practices. 9. **Testing and Debugging**: Familiarize yourself with testing frameworks and debugging tools.

Just choose the platform that you like best and with which you interact more every day Choosing between Android and Apple If it's Android, learn Kotlin; if Apple, learn Swift and the corresponding IDE and frameworks - there's little choice here. Cross-platform applications written in non-native languages will work equally poorly on both platforms, so it is better to choose one but native one.

Mobile App Development Basics: Learn fundamentals of mobile development, including languages like Swift (iOS) or Kotlin/Java (Android). UI/UX Design: Understand user interface and experience principles for creating visually appealing and user-friendly apps. Cross-Platform Development: Explore frameworks like React Native or Flutter to build apps that work on both iOS and Android. API Integration: Master connecting mobile apps to external services, databases, and APIs for enhanced functionality. Mobile Security: Learn best practices for securing mobile applications to protect user data and maintain privacy. Performance Optimization: Understand techniques to optimize app performance, ensuring smooth user experiences.

To become a mobile application developer, you might consider taking courses in the following areas Programming Languages: Learn languages Java, Kotlin for Android. Swift or Objective-C for iOS. HTML, CSS, JavaScript for cross-platform frameworks like React Native or Flutter Mobile App Development Frameworks: IDE : Android : Android Studio iOS : xcode cross-platform frameworks like React Native, Flutter, or Xamarin Database Management: Understand DB, including SQLite, Firebase, or CoreData for storing and retrieving data UI/UX Design: Learn principles of UI UX design to create user-friendly apps Version Control Systems: Learn VCS like GIT Testing and Debugging: Learn JUnit, XCTest, or Espresso APIs and Web Services: Learn REST APIs calling

In mobile development, staying current with evolving technologies and frameworks is crucial. Regularly update your skills, explore emerging trends, and actively participate in the developer community. Showcase your projects on platforms like GitHub to demonstrate practical application of your abilities. Networking through conferences, online forums, and social media can lead to valuable collaborations and job opportunities in this dynamic field.

We built the first version of our Mobile App at Snowpal in 4 months (and none of us were mobile engineers). How did we do it? Not by signing up for endless theoretical courses on mobile development but rather by a combination of taking our other engineering learnings to the mobile world and making development progress in small iterations. The approach we took served us well and helped us go to market in 4 months as opposed to the 12-18 months a lot of Managed Services providers quoted to us. And once we did it, we created podcasts, articles and some courses (an hour long and about $5 apiece) to share our learnings with the larger community. Check out learn.snowpal.com and if you need a customized version, hit us up.

Andrew Ng is one of the leading figures in AI/ML including education. His Stanford lectures helped many of us get in to this field and now his DeepLearning.ai platform is amplifying this message. Full disclosure I have two courses on his platform, a long form course in LLMs and a short course on Amazon Bedrock, and all the courses listed there, long or short, are well worth looking at.

Expertise Machine Learning gives perfect roadway to AI and related technologies. Al will takeover most of the technological works in coming time and more prepared to future technologies will benefit in many ways.

Familiarize yourself with the fundamental concepts of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Understand key terminology such as features, labels, training data, testing data, and algorithms. Acquire proficiency in a programming language commonly used in machine learning, such as Python or R. Learn popular libraries and frameworks like scikit-learn, TensorFlow, and PyTorch. Strengthen your understanding of essential mathematical and statistical concepts, including linear algebra, calculus, and probability. These concepts form the basis for many machine learning algorithms.

AI is likely going to make a lot of software development jobs obsolete much quicker than we all are ready for. Diving into ML and exploring the abilities of today's and upcoming AI is probably the best way to go. Arguably we might soon be more "psychotherapists" for AI (or whatever term is/will get coined for this) than programmers dealing with code.

Fundamentals: Start with courses on basic machine learning concepts, algorithms, and frameworks. Specialization: Dive into specific areas like natural language processing, computer vision, or reinforcement learning. Hands-on Projects: Gain practical experience through coding projects to reinforce theoretical knowledge. Deep Learning: Explore deep neural networks and frameworks like TensorFlow or PyTorch for advanced applications. Mathematics: Strengthen your understanding of relevant math, including linear algebra and calculus. Kaggle Competitions: Participate in Kaggle challenges to apply your skills in real-world scenarios.

Great software engineers obtain either a variety of broad skills over their career, or a very specialized knowledge. Excellent software engineers however also focus on leadership skills, including how to take on the technical lead of a team, effective delegation, coaching and mentoring peers, and leading with empathy. If you'd like to elevate your career to the next level, I'd suggest to focus on leadership, communication and execution skills.

For prosperous software development career one should consider below things. 1. Ability to understand the problem statement and what are the inputs and what is expected output. One who have clear understanding of the output what he is looking for will thrive to solve the problem in one or other way. 2. One should improve in his ability to debug and learn debugging tools. Always he should improve where to hit hammer to route cause the issue. 3. Maintaining his work, as a software engineer one should learn how to maintain his code and save his work, understand and master version control tool. Saving his designs and making documents with adequate information to save the overall idea.

In my career at Amazon India, i was able to level up from SDE to SDM in 3 quarters which usually takes ~2 years for typical SDE. Sharing my practical learnings to notch up your software engineering career: 1. Observe carefully and learn what people at that next level are doing e.g i was learning from SDMs around me on how to manage projects, teams, stakeholders even as SDE so that when the opportunity comes I’m prepared. Home-grown-Amazonian SDMs can definitely relate to it :) 2. Get practical exposure of next level in some way and keep evolving. e.g: i started with managing 1 intern which eventually led to managing team of 8. Remember you can’t learn swimming by reading books about it, take the plunge, learn and evolve on the go!

I feel all that’s needed is a problem solving mindset, not limiting oneself to a specific field. Embrace challenges and be ready to resolve issues originating from infrastructure, deployments or databases outside of the application development too.

Coding is a social exercise and actively contributing to an open source project is probably the best way to level up vs. taking a course. The easiest way to get involved in an existing project is by providing documentation vs. fixing an existing bug and/or adding a new feature. But the best way to learn while getting the respect of your peers in open source is by updating the project's test suite. Writing tests is something that's infinitely useful and will set you apart in the real world of software development, but it's hardly ever taught in a formal coursework.