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🔅 Programming Foundations: Fundamentals 📝 Prepare to learn the fundamental concepts, practices, and terminology of programming in this introductory course. 🌐 Author: Annyce Davis 🔰 Level: Beginner ⏰ Duration: 3h 11m 📋 Topics: Programming 🔗 Join The Coding Space for more courses

How to Learn Cloud Computing ? Cloud computing is a vast field with an ever-growing footprint. It can often get tricky for a new developer to understand where to start. Here’s a learning map: 1 - Cloud Computing Basics This includes topics such as “what is cloud computing,” its benefits, cloud models (public, private, hybrid, and multi), and a comparison of cloud vs. on-premise. 2 - Cloud Service Models Learn about cloud service models such as IaaS, PaaS, and SaaS. 3 - Cloud Providers Explore the various popular cloud platforms such as AWS, Azure, GCP, Oracle Cloud, IBM Cloud, etc. Also, learn how to choose a cloud provider. 4 - Key Cloud Services Learn the key cloud services related to Compute (EC2, Azure VM, Docker, Kubernetes, Lambda, etc), Storage (EBS, Azure Disk, S3, Azure Blob, EFS, etc.), and Networking (VPC, ELB, Azure LB, Cloudfront, and Azure CDN). 5 - Security & Compliance Learn about the critical security and compliance points related to identity, access management, encryption, data security, DDoS protection, and WAF. 6 - Cloud DevOps & Automation Learn Cloud DevOps and automation in specific areas such as CI/CD, IaC, and Monitoring.

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🔅 Vibe Coding Fundamentals: Tools and Best Practices 📝 Learn how to build software by guiding AI agents instead of writing every line yourself. 🌐 Author: Ray Villalobos 🔰 Level: General ⏰ Duration: 37m 📋 Topics: Programming, AI Software Development, AI Productivity 🔗 Join The Coding Space for more courses

Web Development Talks You can use ChatGPT API, MidJourney API, Runway API and other AI based APIs and use them in your projects , you can make really cool coding projects with these APIs.

💯 Use Kaggle like a pro with this method! 👨🏻‍💻 Never underestimate Kaggle! One of the best ways to start learning data science and ML is Kaggle. A place where theory turns into practice, beginners become professionals, and skills turn into value. 🎯 This roadmap is the key to practical use of this amazing platform:👇 ⬅️ Step one: Strengthen your basic skills! ✏️ Start with Kaggle's short and free courses. Practical, focused, and suitable for beginners. ✅ Python ⬅️ Link ☑️ Introduction to Machine Learning ⬅️ Link ✔️ Introduction to Deep Learning ⬅️ Link ✔️ Introduction to SQL ⬅️ Link ✔️ Introduction to Game AI and RL ⬅️ Link 📝 Complete list of courses ⬅️Link                    ➖➖➖➖➖➖ ⬅️ Step two: Apply what you’ve learned. ✏️ Learning alone is not enough; you have to solve problems! Kaggle competitions are the best place for this. ✅ Classification problem for beginners ☑️ Regression-based challenge ✔️ Fake news detection with NLP ✔️ Deep learning on image data with TPU 📝 Complete list of competitions ⬅️Link