#Managed Aws

Some of the most important technologies to boost your portfolio are really hard to get hands-on with. AWS Direct Connect is a perfect example. It’s how you send traffic between your on-prem workloads, data centers, and AWS. But testing isn’t easy if you don’t have the right infrastructure or credentials set up, and it can also be a potential risk if you don’t do it in a sandbox. It’s not something you can just spin up on your laptop. So how are you supposed to learn? You don’t want your first time touching it to be in production with real workloads. You need a clean slate You need a walled garden You need zero risk to live services Megaport is hosting a live lab with AWS this Thursday!! You’ll get access to a private Direct Connect environment during the session. You’ll be able to: - configure & validate secure site-to-site VPN tunnels - manage multi-VPC connectivity via Transit Gateway - implement AWS Direct Connect with DXGW/TGW Register for the webinar with the link in my bio 🔗 See you there 🥳 P.S. how do you normally lab with AWS? #networkengineer #cloudengineer #workingintech #informationtechnology #aws

You built your app. Now you have to decide how to run it on AWS. EC2, ECS, EKS, Lambda same app. Different amounts of responsibility. EC2 You get a virtual server. You manage the OS, updates, and scaling. If the OS crashes at 2AM, that’s on you. ECS You package your app into a container. AWS handles the servers underneath. If you use Fargate → no server management. If you use EC2 launch type → you still manage instances. EKS Kubernetes on AWS. AWS manages the control plane. You manage worker nodes and cluster setup. It’s portable across clouds but only if you design it carefully. More flexibility. More complexity. Lambda You deploy code as functions. AWS runs and scales them. No servers to manage. But there are limits to timeouts, cold starts, and less runtime control. Same app. Four levels of responsibility. Quick rule: If you’re a solo dev or small team, ECS on Fargate is usually the simplest place to start. Add complexity only when you actually need it. #aws #kubernetes #devops #backend #docker

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.

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

Comment “AWS” and I’ll send you the links! ☁️🚀 You don’t need expensive cloud certifications or bootcamps to understand Amazon Web Services and cloud computing. Some of the best resources for learning AWS, cloud architecture, and real-world infrastructure are completely free — and often better than paid courses. Cloud computing is one of the most in-demand skills in tech right now. Whether you're building web apps, deploying APIs, or working with AI systems, AWS is the backbone behind most modern applications. These resources will help you understand: Core AWS services like EC2, S3, Lambda, RDS, and VPC How cloud architecture works in real-world systems How to deploy and scale applications using AWS The fundamentals needed for AWS Cloud Practitioner and beyond How different AWS services connect together in production Whether you're a beginner trying to break into cloud engineering, a developer looking to deploy your projects, or preparing for AWS certifications, understanding AWS is a must-have skill. These videos cover everything from high-level concepts to practical cloud knowledge, helping you go from zero to understanding how real systems run on the cloud. If you're into backend development, DevOps, or building scalable systems, learning AWS will level up your skillset significantly. Save this to start learning cloud computing the right way, and follow for more content on coding, AI, and real-world tech. ☁️💻

https://aws.amazon.com/ Try this out !

steps to get 200 dollar free credits for ysing claude or any llm , provided by AWS. Follow the sign up steps in the video. use the amazon bedrock to create API keys and use in your favourite ide extensions for developing and builduing code applications

This website is a game changer for helping me learn AWS #awscloud #cloudpractitioner #cloudengineer #learn #studywithme #study

[AWS Lambda]  lets you run code without provisioning or managing servers. [Amazon API Gateway] is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. [Amazon DynamoDB] is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. [Amazon S]  is an object storage service that offers industry-leading scalability, data availability, security, and performance! Follow for more! @codemyjourney

Comment “AWS” to get links! ☁️ Want to learn AWS in 2026 without feeling overwhelmed? This mini roadmap helps you go from zero to real AWS skills with a clear path and hands on practice. 🎓 CLF-C02 Full Course Perfect starting point if you are brand new to AWS. You will learn core cloud concepts and the AWS basics you must understand like IAM, billing, shared responsibility, regions, and the most common services. Great foundation if you want the AWS Certified Cloud Practitioner CLF-C02. 🧭 AWS 2026 Roadmap Now you need direction. This video helps you plan your AWS learning path in 2026 and avoid random tutorial hopping. You will understand what to learn first, how to practice, and how to build momentum like a real cloud engineer. 💻 Hands-On AWS Course Time to build. This resource is focused on doing, not just watching. You will explore AWS services through practical examples and projects so you can actually understand how AWS works in real scenarios. 💡 With these AWS resources you will: Understand AWS fundamentals and cloud computing basics Learn key AWS services like EC2, S3, IAM, VPC, Lambda, and RDS Build confidence with hands on projects for DevOps and cloud roles Prepare smarter for AWS certifications and interviews If you are serious about cloud computing, DevOps, backend engineering, or becoming an AWS cloud engineer, this roadmap will save you weeks. 📌 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, DevOps, and system design.

GIVEAWAY IS OVER! 10 winners are picked, check my GIVEAWAY highlight. No Data Influencer made this before 🚀Get FREE AWS certificate. ABSOLUTELY FREE. 🔥 Partnerway @partner_way - the official provider of AWS in the EMEA region - and I are ready to give away vouchers for AWS certifications in 2 cases: 1. 10 random people commenting here AND already have ANY cloud certificate [AWS/Azure/GCP] ❗️❗️❗️ Be ready to provide an official LINK to certificate via Credly/Accredible/Microsoft Learn platforms. Results will be picked by randomiser. OR 2. Everyone who gets my Data Engineer Roadmap - Check the link in bio ✅ VOUCHERS to be used: - Between March 8 - April 8: you have a month to use it - For any Associate/Professional/Specialty certification, in particular: AWS Certified Developer – Associate AWS Certified SysOps Administrator – Associate AWS Certified Solutions Architect – Associate AWS Certified Data Engineer – Associate AWS Certified Solutions Architect – Professional AWS Certified DevOps Engineer – Professional AWS Certified Advanced Networking – Specialty AWS Certified Security – Specialty AWS Certified Machine Learning – Specialty AWS Certified Database – Specialty AWS Certified Data Analytics – Specialty AWS Certified SAP on AWS – Specialty 😁This is truly awesome opportunity, really want you to use it! You have a week to participate. Let’s go🚀 #aws #cloudtechnology #gcp #azurecloud #awscertification #certification #awscloud #amazonwebservices #programming #programmer #datascience #ml #data #programmer #database #dataanalytics

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.