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1. Fundamentals of CSS Flexbox
   

   Fundamentals of CSS Flexbox

   S A N posted a topic in Courses For Free

   Fundamentals of CSS Flexbox File Name: Fundamentals of CSS Flexbox Content Source: https://zerotomastery.io/courses/learn-css-flexbox/ Genre / Category: Premium Courses Language: ENGLISH Original Price: $99 What you'll learnHow to use Flexbox containers and items Align elements vertically and horizontally Control spacing and distribution in layouts Wrap and reorder elements easily Build layouts that adapt to any screen size Understand Flexbox through visual tools like Flexbox Froggy Apply Flexbox to real-world projects Create a responsive blog layout from scratch Flexbox takes the pain out of CSS layout design. If you’ve struggled with floats, margins, or positioning quirks, this course is your reset button. We’ll start from the very basics: what Flexbox is and why it matters. You’ll get hands-on practice aligning elements, spacing them out evenly, and making your designs responsive across devices. You’ll explore fun tools like Flexbox Froggy to reinforce key concepts visually. Then, you’ll apply your skills by building a responsive blog layout from scratch. This course is perfect for beginners who want to finally understand layout without frustration...and walk away with a real-world project to prove it! What's the bottom line?This CSS Flexbox course will help take you from a beginner to a top 10% web developer! This course is not about making you just code along without understanding the principles so that when you are done with the course you don’t know what to do other than watch another tutorial... No! File Information Submitter S A N Submitted 07/03/2026 Category Paid Coding Courses Sale page https://zerotomastery.io/courses/learn-css-flexbox/ View File

   • 11 hours ago11 hr
   • 0 replies
2. Fundamentals of CSS Grid
   

   Fundamentals of CSS Grid

   S A N posted a topic in Courses For Free

   Fundamentals of CSS Grid File Name: Fundamentals of CSS Grid Content Source: https://zerotomastery.io/courses/learn-css-grid/ Genre / Category: Premium Courses Language: ENGLISH Original Price: $99 What you'll learn Define and customize CSS grids from scratch Place and align grid items precisely Use grid-template-areas for clear layout structure Create fully responsive grid-based designs Control spacing, sizing, and alignment effortlessly Design real-world layouts like galleries and articles Combine Grid with Flexbox where needed Build confidence through hands-on projects and examples CSS Grid is one of the most powerful layout tools in modern web development—and it doesn’t have to be intimidating. This course takes you from the absolute basics to building responsive, real-world layouts without relying on complex hacks or bloated frameworks. You’ll learn how to define a grid, position elements with precision, and build flexible designs that look great on any screen. Through clear explanations and hands-on examples, you’ll get comfortable with everything from alignment to responsiveness. By the end, you won’t just understand CSS Grid - you’ll actually enjoy using it (sounds crazy, we know!). What's the bottom line?This CSS Grid course will take you from beginner to a top 10% web developer at CSS Grid! This course is not about making you just code along without understanding the principles so that when you are done with the course you don’t know what to do other than watch another tutorial... No! This course will push you and challenge you to become someone that is able to build your own real-world projects that wow users and prospective employers 💪. File Information Submitter S A N Submitted 07/03/2026 Category Courses Sale page https://zerotomastery.io/courses/learn-css-grid/ View File

   • 11 hours ago11 hr
   • 0 replies
3. AI Engineering: Build, Train, Fine-Tune and Deploy Models with AWS SageMaker
   

   AI Engineering: Build, Train, Fine-Tune and Deploy Models with AWS SageMaker

   S A N posted a topic in Courses For Free

   AI Engineering: Build, Train, Fine-Tune and Deploy Models with AWS SageMakerView File File Name: AI Engineering: Build, Train, Fine-Tune and Deploy Models with AWS SageMaker Content Source: https://zerotomastery.io/courses/ai-engineer-bootcamp-aws-sagemaker/ Genre / Category: Premium courses Password: Spoiler Original Price: $149 Language: ENGLISH For Paid User Without URL Shortener: Download : GO TO SINGLE CLICK DOWNLOAD PAGE What you'll learnBuild and deploy cutting-edge artificial intelligence & machine learning models to the cloud Utilize powerful pre-trained models from Hugging Face with AWS SageMaker Uncover the mathematical secrets behind how Large Language Models work with a deep-dive into the Transformer architecture, tokenization, and more Customize models to meet the needs of your AI applications using PyTorch to create unique solutions Train and test models, ensuring they deliver accurate results every time Learn best practices for monitoring and optimizing your models, including load testing and scaling for massive user demand What Is An AI Engineer?The short version is that an AI Engineer works on the entire lifecycle of an AI application - that is, an application that utilizes AI at its core. An AI Engineer takes AI models, including Large Language Models, and customizes them to their needs. That requires everything from building models using custom datasets, to training and tuning models, to deploying models and scaling them using cloud technologies. The role is growing like wildfire, but it's still evolving and will no doubt continue evolving as the AI landscape changes. What Is AWS SageMaker?AWS SageMaker (also referred to as Amazon SageMaker) is a fully managed machine learning service that empowers you to quickly build, train, fine-tune and deploy machine learning models at scale. It eliminates the heavy lifting of infrastructure management, so you can focus on the fun part - creating your own awesome AI projects and applications! In short, it's one of the leading, real-world AI tools used by AI Engineers, Machine Learning Engineers, Developers and Data Scientists. Want to know why makes AWS SageMaker really cool though? It allows end-to-end machine learning in a way that's easy to use, no matter your skill level! So whether you're a seasoned AI expert or just getting started, SageMaker offers intuitive tools and a user-friendly interface that make machine learning accessible to everyone. If you're looking to build and deploy your own AI applications, this is the place to be. Why This Course?Well, because it's the best, most up-to-date, and practical AI Engineering Bootcamp course online that teaches you real-world AWS SageMaker skills and that lets you get hands-on so that you can actually use your skills in the real-world. But of course we're biased. So here's a section-by-section breakdown of this AWS SageMaker course so that you can make up your own mind: 1. Introduction: Get an overview of what you'll be doing in this course, meet the other students taking this course, and meet your instructor extraordinaire: Senior Machine Learning Engineer, Patrik Szepesi! 2. Setting Up Our AWS Environment and Best Practices: We'll dive right away into establishing a solid foundation by setting up an AWS account, configuring IAM roles for security, and applying best practices. You'll also learn to set up the AWS SageMaker domain, adjust UI settings, and understand the pricing structures within SageMaker Studio. 3. A Gentle Introduction to HuggingFace in Amazon SageMaker: You'll then get a practical introduction to integrating HuggingFace with AWS SageMaker. The section covers setting up SageMaker with PyTorch and deploying pre-built HuggingFace models for tasks like sentiment analysis, including considerations for autoscaling. 4. Gathering a Dataset for Our Multiclass Text Classification Project: Time to get your hands dirty and learn how to source and prepare datasets for a multiclass text classification task. You'll learn about acquiring datasets, creating S3 buckets, and uploading data effectively to AWS. 5. Exploratory Data Analysis: In this section you'll engage in exploratory data analysis to uncover insights from your datasets, including learning about data visualization techniques and best practices to better understand underlying patterns that could influence subsequent modelling decisions. 6. Setting Up Our Training Notebook: This practical section helps you set up your training environments in Amazon SageMaker, including configuring notebooks and scripting with Python for HuggingFace estimators. This setup is crucial for efficient model training and iteration! 7. Introduction to Tokenizations and Encodings: This is such a cool section. You'll explore the essential NLP (Natural Language Processing) processes of tokenization and encoding, which are fundamental to AI models like LLMs (Large Language Models). The lessons include hands-on activities for creating notebooks, understanding tokenization vocabulary, and practical examples of applying these techniques in model training. 8. Setting up Data Loading with PyTorch: Here you'll learn to create dataset loader classes and configure PyTorch DataLoader, which are key components for handling large volumes of data efficiently during model training. 9. Choose Your Path: Time for another brief interlude! This will prepare you for the advanced topics ahead, helping you decide the path you'll take in learning about the deeper technical details of machine learning and AI models. You can decide if you want the deep dive into mathematics or not (we know some of you don't love the math, and that's okay!). 10. Mathematics Behind Large Language Models and Transformers: This extensive section delves into the mathematical foundations and workings of Transformers and Large Language Models, including multi-head attention, positional encodings, and the theory behind attention mechanisms. 11. Customizing our Model Architecture in PyTorch: Learn to customize a DistilBERT model by adding dropout, linear layers, and ReLU activations. This customization is key for tailoring the model to specific classification tasks and datasets. 12. Creating the Accuracy, Training, and Validation Function: This section focuses on creating accurate, robust training and validation functions to ensure models are evaluated properly and perform well under various conditions. 13. Optimizer Functions, Model Parameters, Cross Entropy Loss Function: Understand and implement optimization functions, adjust model parameters, and delve into the mathematics of the cross entropy loss function, which is essential for training effective machine learning models. 14. Possible Resource Limit Errors Before Training and Deployment: Preparing for potential issues, this section teaches you how to handle resource limit errors by managing and requesting AWS quota increases. 15. Starting Our Training Job and Monitoring it in AWS CloudWatch: This is getting exciting! Because here you'll start your training jobs in SageMaker and learn to monitor and debug these jobs using AWS CloudWatch, gaining insights into the health and performance of your models. 16. Deploying our Multiclass Text Classification Endpoint in SageMaker: This critical section covers the deployment of the trained multiclass text classification model as an Amazon SageMaker endpoint, ensuring you understand the steps to make your models available for real-world applications. 17. Load Testing Our Machine Learning Model: Just because a model is live, doesn't mean it's going to work! You need to perform load testing on your deployed models to evaluate performance and scalability, preparing them for robust and efficient real-world deployments. 18. Production Grade Deployment of Our Machine Learning Model: This section takes you through the steps of deploying your model at a production scale, including setting up AWS Lambda functions and API Gateway, and testing the deployment with tools like Postman. This is where the rubber really meets the road! 19. Cleaning Up Resources: Last but not least, we need to clean things up to make sure you're using the real-world best practices! This section emphasizes the importance of cleaning up AWS resources to manage costs and maintain an efficient cloud environment. What Careers Does This Course Prepare Me For?AI and machine learning are so hot right now. If you want to catch and ride the AI wave, SageMaker is a great place to start. It's a skill that's used in a ton of in-demand careers that are at the forefront of Artificial Intelligence including: AI Engineer & Machine Learning Engineer: Focuses on designing, developing, and customizing machine learning models and deploying them to production environments. Requires skills in model training, optimization, and deployment. AI Specialist: Specializes in building applications using artificial intelligence technologies and machine learning models. Data Scientist: Involves analyzing and interpreting complex data to help companies make informed decisions. Requires expertise in data preparation, exploratory data analysis, and model building. AI Research Scientist: Conducts research to advance the field of artificial intelligence and machine learning. Requires deep understanding of advanced machine learning concepts, including attention mechanisms and large language models. Cloud Engineer: Focuses on designing, planning, managing, maintaining, and supporting cloud computing applications. Requires knowledge of AWS services and best practices for cloud deployment. DevOps Engineer: Bridges the gap between development and operations by automating the process of software delivery and infrastructure changes. Needs skills in deploying and monitoring machine learning models using tools like AWS CloudWatch. Software Engineer: Involves developing software applications, including those with integrated machine learning components. Requires understanding of integrating machine learning models into applications and ensuring their scalability and performance. Data Engineer: Focuses on building and maintaining data pipelines, ensuring data is clean, reliable, and ready for analysis. Requires knowledge of data storage solutions like AWS S3 and data preparation techniques. Technical Product Manager: Manages the development and deployment of technology products, including those involving machine learning. Requires an understanding of the technical aspects of machine learning deployment and monitoring. File Information Submitter S A N Submitted 07/03/2026 Category Courses Sale page https://zerotomastery.io/courses/ai-engineer-bootcamp-aws-sagemaker/

   • 12 hours ago12 hr
   • 0 replies
4. Har Ghar AI Sikhega: AI Automation LIVE Webinar By The Growth Plus
   

   Har Ghar AI Sikhega: AI Automation LIVE Webinar By The Growth Plus

   S A N posted a topic in Courses For Free

   Har Ghar AI Sikhega: AI Automation LIVE Webinar By The Growth Plus File Name: Har Ghar AI Sikhega: AI Automation LIVE Webinar By The Growth Plus Content Source: https://learn.thegrowthplus.com/web/checkout/69d3627d41489e50dd977e71 Genre / Category: Premium courses Password: Spoiler Original Price: ₹1,499 Language: HINDI For Paid User Without URL Shortener: Download : GO TO SINGLE CLICK DOWNLOAD PAGE ABOUT THE COURSE: 👨‍💻 I am an AI content creator who uses AI tools daily. In this workshop, I’ll help you move beyond basic AI usage and actually build real AI automations 🚀 Understand how AI Automation works in real life Build your own Chatbots & Conversational AI (no coding) Learn Voice AI & Call Automation using tools like ElevenLabs & Sarvam Create automated workflows using tools like n8n, Make & Zapier Get introduced to AI Agents for multi-step smart tasks LIVE AI Call Center Project demo in action ⭐ 25,000+ Students | 10M+ Followers | Backed by Forbes Top Creator ⭐ The Growth Plus is India’s most respected AI learning platform. Our founder, Naman Deshmukh, is a National Award-winning creator, recognized for impact in AI education. Trusted by 25,000+ learners & brands like Apple, Samsung, and Meta, you’re learning from the best in the country 🇮🇳 🎯 India’s Most Practical and Beginner-Friendly AI Webinar designed for students, creators, freelancers, marketers, and business owners who want to 💡 What You’ll Learn1️⃣ What is AI Automation? (Intro + Use Cases) Understand what AI automation really means and how it’s being used in real businesses and daily life. 2️⃣ Chatbots & Conversational AI Build your first chatbot and learn how businesses automate conversations using AI. 3️⃣ Voice AI & Call Automation Learn how AI can handle calls, customer support, and voice interactions using advanced tools. 4️⃣ Workflow Automation (n8n, Make, Zapier) Automate repetitive tasks and connect different apps without coding. 5️⃣ AI Agents (Multi-step Tasks) Understand how AI agents can think, plan, and execute tasks step-by-step automatically. 6️⃣ Live Project: AI Call Center Demo Real-world implementation of an AI-powered call center system. 7️⃣ Claude AI for Smart Workflows Learn how to use Claude for research, automation, and handling complex tasks more efficiently. File Information Submitter S A N Submitted 07/03/2026 Category Courses Sale page https://learn.thegrowthplus.com/web/checkout/69d3627d41489e50dd977e71 View File

   • 12 hours ago12 hr
   • 0 replies
5. React Router Bootcamp: Zero to Mastery
   

   React Router Bootcamp: Zero to Mastery

   S A N posted a topic in Courses For Developers

   React Router Bootcamp: Zero to Mastery File Name: React Router Bootcamp: Zero to Mastery Content Source: https://zerotomastery.io/courses/learn-react-router/ Genre / Category: Coding Courses Language: ENGLISH Original Price: $199 ABOUT THE COURSE: React Router Bootcamp is a practical course on working with React Router v7 (Remix v3) that will help you confidently master modern routing and learn to build fast, flexible, and scalable web applications using React. What You Will Learn in This CourseThe course is designed to guide you gradually from the basics to advanced techniques of development with React Router v7, while simultaneously creating a real full-stack application. Basic Concepts of Routingunderstanding the principles of React Router v7; setting up routes and navigation; working with dynamic and nested routes. Creating Application Architecture Based on RoutesYou will learn to build the structure of an application using: layout components and nested interface layers; data loading logic distribution across routes; effective responsibility distribution between pages and modules. Working with Data and StatesReact Router v7 integrates routing, navigation, and data handling into a unified system. During the course, you will master: data loading through loaders; handling loading, pending, and error states; data mutators and working with actions; forms and request submissions without manual state management. The Practical Project You Will CreateYou will develop a full-fledged culinary-themed application, including: a recipe catalog; meal plans; shopping lists; convenient routing and well-thought-out structural architecture. This will serve as an excellent portfolio project demonstrating proficiency with modern development tools. Why React Router v7 is an Important SkillVersion v7 is rapidly gaining popularity due to its convenient API, improved architecture, and superior developer experience. You will learn to create interfaces with instant transitions, using browser capabilities and distributed systems instead of heavy static builds. Modern UX PatternsThe course thoroughly covers: error and loading state handling; working with forms and actions; creating predictable and stable UI; organizing a comfortable user experience. The Complete Path: From an Empty Project to DeploymentYou will master the entire development cycle, including: initializing the project; setting up structure and architecture; integrating client and server logic; final deployment of the application. Who This Course is ForThe course is ideal for developers who want to: reach a new level of React proficiency; create faster and more efficient web applications; work with modern tools and industry approaches; gain practical experience applicable to real projects. Upon completing the training, you will confidently master React Router, enhance your JavaScript and React skills, and learn to build scalable application architectures oriented towards production. File Information Submitter S A N Submitted 07/02/2026 Category Paid Coding Courses Sale page https://zerotomastery.io/courses/learn-react-router/ View File

   • Yesterday at 03:13 PM1 day
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