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View File PyTorch for Deep Learning Bootcamp File Name: PyTorch for Deep Learning Bootcamp Content Source: https://www.udemy.com/course/pytorch-for-deep-learning/ Genre / Category: Coding Courses Language: ENGLISH Original Price: $49 ABOUT THE COURSE: What is PyTorch and why should I learn it? PyTorch is a machine learning and deep learning framework written in Python. PyTorch enables you to craft new and use existing state-of-the-art deep learning algorithms like neural networks powering much of today’s Artificial Intelligence (AI) applications. Plus it's so hot right now, so there's lots of jobs available! PyTorch is used by companies like: Tesla to build the computer vision systems for their self-driving cars Meta to power the curation and understanding systems for their content timelines Apple to create computationally enhanced photography. Want to know what's even cooler? Much of the latest machine learning research is done and published using PyTorch code so knowing how it works means you’ll be at the cutting edge of this highly in-demand field. And you'll be learning PyTorch in good company. Graduates of Zero To Mastery are now working at Google, Tesla, Amazon, Apple, IBM, Uber, Meta, Shopify + other top tech companies at the forefront of machine learning and deep learning. This can be you. By enrolling today, you’ll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors. Most importantly, you will be learning PyTorch from a professional machine learning engineer, with real-world experience, and who is one of the best teachers around! What will this PyTorch course be like? This PyTorch course is very hands-on and project based. You won't just be staring at your screen. We'll leave that for other PyTorch tutorials and courses. In this course you'll actually be: Running experiments Completing exercises to test your skills Building real-world deep learning models and projects to mimic real life scenarios By the end of it all, you'll have the skillset needed to identify and develop modern deep learning solutions that Big Tech companies encounter. Fair warning: this course is very comprehensive. But don't be intimidated, Daniel will teach you everything from scratch and step-by-step! Here's what you'll learn in this PyTorch course: 1. PyTorch Fundamentals — We start with the barebone fundamentals, so even if you're a beginner you'll get up to speed. In machine learning, data gets represented as a tensor (a collection of numbers). Learning how to craft tensors with PyTorch is paramount to building machine learning algorithms. In PyTorch Fundamentals we cover the PyTorch tensor datatype in-depth. 2. PyTorch Workflow — Okay, you’ve got the fundamentals down, and you've made some tensors to represent data, but what now? With PyTorch Workflow you’ll learn the steps to go from data -> tensors -> trained neural network model. You’ll see and use these steps wherever you encounter PyTorch code as well as for the rest of the course. 3. PyTorch Neural Network Classification — Classification is one of the most common machine learning problems. Is something one thing or another? Is an email spam or not spam? Is credit card transaction fraud or not fraud? With PyTorch Neural Network Classification you’ll learn how to code a neural network classification model using PyTorch so that you can classify things and answer these questions. 4. PyTorch Computer Vision — Neural networks have changed the game of computer vision forever. And now PyTorch drives many of the latest advancements in computer vision algorithms. For example, Tesla use PyTorch to build the computer vision algorithms for their self-driving software. With PyTorch Computer Vision you’ll build a PyTorch neural network capable of seeing patterns in images of and classifying them into different categories. 5. PyTorch Custom Datasets — The magic of machine learning is building algorithms to find patterns in your own custom data. There are plenty of existing datasets out there, but how do you load your own custom dataset into PyTorch? This is exactly what you'll learn with the PyTorch Custom Datasets section of this course. You’ll learn how to load an image dataset for FoodVision Mini: a PyTorch computer vision model capable of classifying images of pizza, steak and sushi (am I making you hungry to learn yet?!). We’ll be building upon FoodVision Mini for the rest of the course. 6. PyTorch Going Modular — The whole point of PyTorch is to be able to write Pythonic machine learning code. There are two main tools for writing machine learning code with Python: A Jupyter/Google Colab notebook (great for experimenting) Python scripts (great for reproducibility and modularity) In the PyTorch Going Modular section of this course, you’ll learn how to take your most useful Jupyter/Google Colab Notebook code and turn it reusable Python scripts. This is often how you’ll find PyTorch code shared in the wild. 7. PyTorch Transfer Learning — What if you could take what one model has learned and leverage it for your own problems? That’s what PyTorch Transfer Learning covers. You’ll learn about the power of transfer learning and how it enables you to take a machine learning model trained on millions of images, modify it slightly, and enhance the performance of FoodVision Mini, saving you time and resources. 8. PyTorch Experiment Tracking — Now we're going to start cooking with heat by starting Part 1 of our Milestone Project of the course! At this point you’ll have built plenty of PyTorch models. But how do you keep track of which model performs the best? That’s where PyTorch Experiment Tracking comes in. Following the machine learning practitioner’s motto of experiment, experiment, experiment! you’ll setup a system to keep track of various FoodVision Mini experiment results and then compare them to find the best. 9. PyTorch Paper Replicating — The field of machine learning advances quickly. New research papers get published every day. Being able to read and understand these papers takes time and practice. So that’s what PyTorch Paper Replicating covers. You’ll learn how to go through a machine learning research paper and replicate it with PyTorch code. At this point you'll also undertake Part 2 of our Milestone Project, where you’ll replicate the groundbreaking Vision Transformer architecture! 10. PyTorch Model Deployment — By this stage your FoodVision model will be performing quite well. But up until now, you’ve been the only one with access to it. How do you get your PyTorch models in the hands of others? That’s what PyTorch Model Deployment covers. In Part 3 of your Milestone Project, you’ll learn how to take the best performing FoodVision Mini model and deploy it to the web so other people can access it and try it out with their own food images. What's the bottom line? Machine learning's growth and adoption is exploding, and deep learning is how you take your machine learning knowledge to the next level. More and more job openings are looking for this specialized knowledge. Companies like Tesla, Microsoft, OpenAI, Meta (Facebook + Instagram), Airbnb and many others are currently powered by PyTorch. And this is the most comprehensive online bootcamp to learn PyTorch and kickstart your career as a Deep Learning Engineer. Submitter S A N Submitted 06/16/2026 Category Paid Coding Courses Sale page https://www.udemy.com/course/pytorch-for-deep-learning/  

good course 😀

Good

Build AI Agents Without Coding Using Claude Code With N8N View File File Name: Build AI Agents Without Coding Using Claude Code With N8N Content Source: https://www.skool.com/claude-code/about Genre / Category: Free Courses Language: ENGLISH Original Price: $49 Submitter S A N Submitted 06/13/2026 Category Courses Sale page https://www.skool.com/claude-code/about  

View File Automate Everything with Python File Name: Automate Everything with Python Content Source: https://www.udemy.com/course/automate-everything-with-python/ Genre / Category: Coding Courses Language: ENGLISH Original Price: $49 ABOUT THE COURSE: In a fast-growing world, Python programming is becoming a must-have skill. Whether you want to automate email sending, rename 10 thousand files at once, schedule SMS, auto-start the webcam, create APIs, auto-login to websites, scrape values, and many, other cool programs, this course has it all. In the process of learning to do all those cool programs, you will master Python and will create programs with ease. What will students learn to automate? One of Python's strongest points is to make our jobs easier and more fun by automating tasks in any area. You will learn to send emails with attachments to hundreds of CSV contacts, automate SMS messages, filter photos from your albums, detect faces in photos and videos, spin up and deploy quick web apps, extract data from websites and PDF files, convert between different file formats, clean text using natural language processing, and many many more. At the end of the course, you will be equipped with a strong set of skills and a good GitHub portfolio. Who is this course for? This course is literally for anyone, from data scientists to students to doctors to musicians to new prospective programmers. With Python, you can do things from web scraping to generating music. There is always something that can be done with Python. Do I need prior Python knowledge? Yes. You need to know Python basics that are variables, data types, functions, conditionals, and loops. This course does not cover those because you can find such content easily on YouTube. Can we use the apps to build our own GitHub portfolio? Yes. You can publish the apps in your own GitHub account. However, it is recommended that you first change something from the code or even better, improve the code to make the apps really unique and yours. That will help your learning. Do I have to follow the course in the given order? No, you can pick the topics you like and only watch the videos and do the practice activities only for those topics. What if I get stuck? You will get stuck at some point. Every programmer does. When that happens, we've got your back. You can drop a question in the Q&A, and the instructor or the teaching assistant will answer your questions within the same day. You can also use the chat in the course Discord server to ask questions and chat with fellow students about Python. What if I don’t like the course? That will likely not happen. But, if it does, you are covered by the Udemy 30-day money-back guarantee, so you can quickly return the course. No questions asked. Does this course cover Python 2 or Python 3? Python 3. What IDE/editor is used in the course? We use the Repl IDE which is becoming a gold standard nowadays due to the share and collaborate features the IDE offers which are especially useful when you are still learning However, you are free to use your favorite IDE. Do I need Windows, Mac, or Linux to take the course? The operating system does not matter. You can even use a mobile device since the IDE we are using works in the browser. Submitter S A N Submitted 06/13/2026 Category Paid Coding Courses Sale page https://www.udemy.com/course/automate-everything-with-python/