#Aws Amazon

In Apr 2025, AWS just broke a 20-year rule wherein Amazon S3 can now be mounted as a file system. No gateway. No copies. Just standard file operations on your S3 bucket. Edit via the file system → syncs to S3 ✅ Edit via S3 console → reflects in the file system ✅ (with a ~60 sec write buffer also S3 is always the source of truth) ML training jobs, AI agents, and legacy file-based apps can now talk directly to S3 like it’s a local drive. But you would wonder why not EFS? A great question actually this is covered in detail here : https://www.rabinarayanpatra.com/blogs/aws-s3-2026-files-vectors-and-beyond 🚀🚀 Comment anything useful for clickable links 🔗 #softwaredeveloper #amazon #coding #aws #amazonwebservices

Amazon Q, a #generativeAI powered assistant from #AWS is now available. Reinvent work with #AmazonQ as it works for every part of your business with built-in security & privacy, enabling your organization to use AI safely. Link in bio. 🔗

Comment “AWS” to get the links! 🔥 Trying to build modern software without understanding AWS is like deploying an app and hoping someone else figures out the infrastructure. If you want real-world backend, cloud, and production skills, this mini roadmap is your entry point. ⚡ What is AWS? | Amazon Web Services A clear, beginner-friendly overview of what AWS actually is, why it exists, and how companies use it to run real systems at scale. ⚡ AWS for the Haters in 100 Seconds A brutally honest, fast-paced explanation of AWS — what it does well, why it feels overwhelming, and why you still can’t ignore it if you care about production engineering. 📚 What is AWS? AWS Cloud Computing for Beginners | Explained in Plain English A no-jargon walkthrough of cloud computing fundamentals: regions, services, scalability, and how AWS fits into real software architectures. 💡 With these AWS resources you will: 🚀 Stop treating “the cloud” like magic and start understanding how software actually runs 🧠 Grasp core AWS concepts that power backend, DevOps, and scalable systems 🏗 Bridge the gap between writing code locally and deploying production-ready applications ☁ Level up for Backend Engineering, Cloud, DevOps, System Design, and Real-World Projects If your goal is to move from “I can code” to “I can deploy, scale, and operate software,” AWS isn’t optional — it’s infrastructure literacy. 📌 Save this post so you don’t lose this AWS roadmap. 💬 Comment “AWS” and I’ll send you all the links! 👉 Follow for more Backend Engineering, Cloud, System Design, and Career Growth.

Comment “AWS” to get links! 🚀 Want to learn AWS cloud in a way that actually sticks? This mini roadmap helps you go from complete beginner to building real cloud projects and understanding the core AWS services used in modern tech. 🎓 AWS 2026 Roadmap Perfect starting point if you are new to AWS. You will understand what Amazon Web Services is, why companies use cloud platforms, and how AWS fits into modern backend, DevOps, cloud engineering and system design. Great for learning the big picture before getting lost in too many services. 💻 Hands-On AWS Now it is time to be practical. This resource helps you get hands on with AWS and start using real services instead of only watching theory. You will build confidence with the AWS console, core cloud workflows and common services that show up in real projects, internships and jobs. 📘 CLF-C02 Course This is where you strengthen your foundation. You will learn the cloud basics that matter most like compute, storage, networking, security, pricing and shared responsibility. It is also a great resource if you want to prepare for the AWS Certified Cloud Practitioner exam while building a strong mental model for cloud computing. 💡 With these AWS resources you will: Understand core AWS services and how they work together Build confidence with cloud computing, backend systems and deployment Create portfolio ready cloud and DevOps projects using AWS If you are serious about cloud engineering, backend development, DevOps or tech interviews, learning AWS is a huge advantage. 📌 Save this post so you do not lose the roadmap. 💬 Comment “AWS” and I will send you all the links. 👉 Follow for more content on AWS, cloud computing, DevOps and backend engineering.

Amazon AWS AI Courses $0, not $900 If you Wаnт to Gеt serious about AI in 2026 you need 3 things: cloud, prompts, and principles. Amazon gives all away for FŔƐƐ. With real certificates attached. Here are the 7 FRƐƐ AWS courses worth saving: 1. Generative AI Learning Plan Duration: 11 Hours | Courses: 5 - Introduction to Generative AI - Planning a Generative AI Project - Amazon Bedrock Getting Started - Foundations of Prompt Engineering - Building Generative AI Applications https://lnkd.in/gQsJM_rF --- 2. Generative AI Learning Plan for Decision Makers Duration: 3 Hours | Courses: 3 - Introduction to Generative AI - Art of the Possible - Planning a Generative AI Project - Building a Generative AI-Ready Organization https://lnkd.in/gJHJarui --- 3. Foundation of Prompt Engineering (stand-alone) Duration: 4 Hours https://lnkd.in/gdCf29K7 --- 4. Low-Code Machine Learning on AWS After completing this course, you will be able to build ML models to support proofs of concept (POCs). You will also be able to assist data scientists with potential ML model candidates to solve business problems. https://lnkd.in/guwh8KQV --- 5. Building Language Models on AWS Duration: 5h 30m. After completing this course, data scientists can confidently build, train, and tune performant language models on AWS using SageMaker. https://lnkd.in/gJVEU5Qy --- 6. Amazon Transcribe Getting Started Amazon Transcribe is a fully managed artificial intelligence (AI) service that helps you convert speech to text using automatic speech recognition (ASR) technology. Duration: 1h 30m. https://lnkd.in/gYx7arPQ --- 7. Machine Learning Learning Plan If you’re a beginner looking for a clear starting point to help you build a career in machine learning, start with an AWS Learning Plan. Duration: 12h 13m | Total 10 courses inside. https://lnkd.in/gWTz3p2W Sаvе this list. Pick 1 course today and start this week.

What is AWS? Simple Explanation Ever wondered how the cloud actually works? Meet AWS Cloud—the giant server that powers your favorite apps, websites, and games. In this short, we break down Amazon Web Services in under 60 seconds. #aws #awstutorial #coding #softwaredeveloper #java

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Learn AWS 👇 All you need to do is create a free account on this website - I'll send it to your dms. We teach over 80,000 students, and there are so many hands-on projects to help you get started. Just comment "Learn" down below for access. #AWS

Getting AWS certified is one of the most valuable things you can do as a developer or someone breaking into tech 💼💻. It shows employers you’re serious, builds real cloud skills, and usually costs $100+… But right now, you can get it completely FREE 😳 Make sure to follow @sujar.tech and Comment “AWS” and I’ll DM you the link to claim your free AWS certification 🎓🔥 #coding #computerscience #cs #softwareengineer #programming #aws #cloud

Top Amazon AWS Services For Everyone🚨 💬 Comment “AWS” below to get my exclusive guide on mastering AWS Cloud—for FREE! 🚀 Master AWS Cloud Like a Pro! 🌟 I’ve created a guide to simplify the most essential AWS services: ✅ S3: Manage and store data like a cloud expert. ✅ EC2: Launch and scale servers effortlessly. ✅ RDS: Handle databases with ease and efficiency. 💡 Whether you’re starting with AWS or looking to level up your cloud skills, this guide is packed with everything you need! 💬 Comment “AWS” now to grab this guide and begin your journey to mastering AWS today! ❤️ Follow @data_with_anurag for more free resources, career tips, and tech insights! ❤️

Aise hi AWS seekhna hai toh follow karo re! 😂🔥 #AWSCloudClub #TalkingAWS #AWSinHindi #PuneTech

[How I passed my first AWS certification] 👉 First: I studied with Zero To Mastery preparation course: it covers everything that you need to know to pass AWS exam. Most lessons are short so it wasn’t too overwhelming to study after my full-time Dev job. And I tried my best to stay consistent with studying: do one-two lessons but every day rather than not sleeping at night😁 🗒️ Second: I took notes of the key points for each lesson: maybe it’s just how my brain works but once I write something down by hand I almost never forget it 🤷‍♀️ 🏗️ The last one: I mainly focused on building practical skills rather than theory. For me the actual certification doesn’t mean much, I don’t need to have it in my CV. I wanted to actually learn AWS and get more skills in cloud development that I could apply at my everyday Dev job. Preparation for AWS exam course from @zerotomasteryio definitely helped me with that because it is a combination of theory and practical lessons. And I followed along with all demo lessons and actually set up and used the AWS services that I needed to learn for my exam. 👉 Getting hands-on experience with AWS is when you actually learn and prepare for your exam! -— These are the key points that I believe helped me to successfully pass my exam 💪 But follow the link in my bio to read a more detailed Medium post where I am sharing all links to the preparation resources I used and more about my experience 😉 . . . #learningtocode #programming #codingchallenge #lovecode #lovecoding #inspiration #motivation #progress #keepmoving #keepmovingforward #react #reactjs #coding #programming #womenintech #womenincoding #devlife #aws