Educative

The future of online learning is adaptive and personalized. We’re using AI to make that future a reality. Our mission at Educative has always been to help software developers get hands-on with the skills they need to level up their careers — from internalizing foundational concepts to mastering in-demand technologies and preparing for interviews. Now, we are using AI to make the learning experience even more interactive and engaging. How? By equipping software developers with a smarter platform that supports their goals and adapts to their needs in real time as they progress. With over 1,000+ AI-enabled courses and projects in our catalog, Educative is now the industry’s largest AI-powered developer learning platform. Give us a visit — we are excited to see what you think!

👉 Learn smarter on Educative with 6 of our newest AI-powered learning tools. 🤖 Efficiently fill knowledge gaps and get personalized learning with our new AI-powered learning tools, including: → Explain with AI → AI Mock Interview  → AI Code Mentor  → Instant Code Feedback  → AI-Powered Adaptive Learning → AI Prompt Engineering 🔗 Utilize these tools on the most comprehensive AI-powered developer learning platform to get on the fast-track for your future learning goals. Learn more: https://educat.tv/3JwckEm #GenerativeAI #AI #softwareengineering

There's no way around it. The quickest route to getting ready for thousands of potential coding interview questions is to master their underlying patterns. 🏆 Get hands-on with just a handful of coding interview patterns that you can use to unlock a wide range of coding problems. 🔗Prep smarter with our AI-powered lessons and lock down your dream job today: https://educat.tv/3Uwh5nG #CodingInterview #TechInterview #interviewpreparation

What are transformers in the context of neural networks? ❓ A transformer is a type of deep learning model and neural network architecture that performs various natural language processing tasks. The introduction of the transformers model in 2017 revolutionized the handling of sequential data. This is because of the attention mechanism, which allows transformers to focus on various parts of the input sequence, greatly improving the efficiency of dealing with sequences. 🤖   This capability has led to unprecedented success in a wide range of NLP tasks, such as language translation and text generation. In one of its more advanced applications, transformers are used to write computer code for coding assistants, such as the GitHub Copilot. Transformers' flexibility and efficiency have positioned them at the forefront of current AI research and applications.  ⬇️Below, we can see the inner workings of a transformer through an example of language translation. #GenerativeAI #DeepLearning #NeuralNetworks #softwareengineering

AI can be dangerous for junior developers, but not in the way you might think 👇 #AI #machinelearning #softwareengineering #programming #techcareers

What's the history that led to modern System Design today? 👇Find out in this handy cheat sheet. Get a comprehensive look at the following eras of software architecture: → Single Unit Monolithic Systems  → Early Networked Systems → Distributed Systems → Microservices → Modern System Design #SystemDesign #softwareengineering #Cheatsheet

Worried AI might replace developers? 🤖 Don't worry: AI is not as effective at coding as the hype makes it seem. AI models still require human guidance, creativity, and ingenuity to be utilized effectively. That said, companies will prioritize hiring devs who know how to leverage AI — so the only threat to your future opportunities is developers who DO use AI. 🛠️ The best thing you can do to solidify your career for an AI-driven future is to get AI-ready. Begin leveraging AI tools for your learning goals. Once you've mastered the fundamentals, start adding generative AI skills to your toolkit. 🔗Unlock AI skills for the industry's best AI-powered learning platform: https://educat.tv/3xMM8CQ #GenerativeAI #softwareengineering #learntocode

3 key concepts to know before designing any system: 🔑Horizontal vs. vertical scaling: A system can be defined in one of two ways… → 1. Vertical scaling increases the resources of a selected node. For example, this would mean adding additional memory to a server to enhance its ability. → 2. Horizontal scaling increases the number of nodes. For example, this would mean adding additional servers to decrease the load on any server. 🔑Database partitioning (sharding): Sharding means distributing information across multiple machines while making sure that you know which data is on which machine. A few common ways of partitioning are: → Vertical partitioning → Key-based (or Hash-based) partitioning → Directory-based partitioning 🔑Networking metrics: Some of the foremost essential metrics around networking include: → Bandwidth: The largest amount of knowledge that can be transferred during a unit of time. Bandwidth is typically expressed in bits per second (or gigabytes per second). → Throughput: While bandwidth is the maximum amount of data that will be transferred during a unit of your time, throughput is the amount of knowledge that is actually transferred. → Latency: The delay between the person sending information and the person receiving it (how long it takes data to travel.) #SystemDesign #softwareengineering #programming

Learn to code more efficiently with: → Personalized learning → Real-time feedback → Customized curriculum 🤖 Once you become a professional developer, you'll need to use Generative AI in your workflow. You'll cross that bridge when you get to it, but for now, the best thing you can do is embrace Generative AI to streamline your learning. Check out some of the exciting ways we've built AI-powered tools into our platform and harness the power of AI to launch your career! 🔗 >> https://educat.tv/49GhqIQ #GenerativeAI #AI #softwareengineering