Building Minimal APIs with ASP.NET Core 9 and Dapper

Welcome to this exciting Udemy course on ChatGPT language learning model! In this course, we will explore the fascinating world of natural language processing and how ChatGPT has revolutionized it.Throughout the course, we will be asking a variety of multiple choice questions that cover both simple and technical aspects of ChatGPT. Don't worry, we will provide you with the correct answers and detailed explanations so you can understand the concepts behind each question.We will begin by introducing you to ChatGPT and its capabilities. You will learn about its architecture, how it works, and its applications in various fields. We will also dive into the technical aspects of ChatGPT, including its training process, different types of models, and how it generates responses.Throughout the course, we will challenge you with a range of multiple choice questions that will test your understanding of ChatGPT. These questions will cover topics such as:How can developers address bias in language models like ChatGPT?How does ChatGPT handle sarcasm and humor in text?Which type of architecture does GPT-3 use?What is the maximum sequence length that GPT-3 can handle?How does ChatGPT compare to other natural language processing models?With each question, we will provide you with a detailed explanation of the correct answer, allowing you to deepen your understanding of ChatGPT and its capabilities. Our aim is to help you practice more about ChatGPT so that you can confidently use it in your language learning journey and in interviews around language learning models.By the end of this course, you will have a thorough understanding of ChatGPT and its capabilities. You will be able to confidently apply this knowledge in your language learning journey and in real-world scenarios. So, what are you waiting for? Let's dive into the exciting world of ChatGPT a

Businesses today are rapidly evolving and cloud-native applications are now needed more than ever before. To build these types of applications, you must be able to determine the right environment, tools, and resources.This course is designed to help you get to grips with all the concepts and techniques you need to build secure, robust, and scalable applications for cloud-based deployment. The course begins by explaining the driving factors behind cloud adoption and how cloud deployment is different from regular application deployment. You’ll learn about design patterns specific to apps running in the cloud, and discover how you can build a microservice in Java Spring using REST APIs. Next, you’ll focus on how to build, test, and deploy applications with maximum automation to reduce the deployment cycle time. A dedicated section will then guide you through configuring the Amazon Web Services (AWS) and Azure platforms and working with their APIs to deploy your apps. Toward later chapters, you’ll understand how to write efficient code by exploring API design concerns and their best practices. Finally, you’ll learn to migrate an existing monolithic app to a distributed cloud-native app.By the end of this course, you’ll have learned how to confidently build and monitor a cloud-native application that is highly available and fault tolerant.About the Authors :Ajay Mahajan is a distinguished member of technical staff (DMTS) at Wipro Technologies and currently is in the role of chief technologist of the retail vertical. In his current role, he helps customers adopt cloud-native and digital architecture for next-generation retail applications. He worked with retail and banking clients in Europe and the USA on large-scale mission-critical systems. He has seen the evolution of enterprise Java from the Netscape Application Server to servlets/JSP, JEE, Spring, and now the cloud and microservices during the course of 19 years of working on Java platform.Munish Kuma

Welcome to the Course, we will start with the basics of OpenCV. From there, we'll dive into creating real-world applications using OpenCV. Next up, we'll explore different Object Detection Algorithms i.e. YOLOv8 and YOLO-NAS. We will create different applications using YOLOv8 and YOLO-NAS. In this course, we'll not only implement Object Tracking from scratch using OpenCV but also explore top-notch Object Tracking Algorithms like SORT and DeepSORT. Moreover, we'll also focus on Pose Estimation in this course as well. With the help of MediaPipe and OpenCV, we'll uncover the secrets of estimating poses. We'll apply this knowledge to develop practical applications, such as a Bicep Curl Counter and Push-Ups Counter, bringing your skills to life.This course covers all this and more, including the following topics:Basics of OpenCV.Different image processing techniques with OpenCV including Blurring, Dilation, Erosion, Edge Detection, Finding and Drawing Contours, Warp Perspective.Haar Cascades Classifiers to Detection Face, License Plate etc.Using OpenCV to create Real-World Applications including Optical Mark Recognition, Lane Detection, QR Bar Code Detection, Object Size Measurement etc.Using OpenCV to create Advanced Projects/ Applications including Basket Ball Shot Predictor, Parking Space Counter, Pong Game using Hand Gestures, Gesture Volume Control.Fundamentals of Object Detection and how to use YOLO Algorithm to do Object Detection with YOLOv8 and YOLO-NAS.Basics of Object Segmentation and learn how to do Object Segmentation with YOLOv8 and how to train YOLOv8 Segmentation Model on Custom Data.Basics of Object Tracking and how to integrate the SOTA Object Tracking Algorithms i.e. SORT and DeepSORT with YOLOv8 and YOLO-NAS.Build Real World Applications with YOLOv8 and YOLO-NAS including Potholes De

*** BONUS ***Full source code of the camera stickers app INCLUDED as a FREE BONUS. All you have to do is join the course and it's yours.***************Hello my name is Yohann, I will be your instructor.In this course, you will learn how to build your very own iPhone camera application and publish it in the iTunes app store.The camera app lets the user take a picture, or a selfie or choose from the image gallery then the user can add stickers and frames onto the pictures and then share it on social networks or by text messages.You will get to customize the app by creating your very own stickers and frames, and by customizing the look and feel of the camera app to your own taste.Now I will show you every single steps you need to make it happen as I will be demonstrating you how i take the original app and make it into a Cat stickers camera app.I came up with a system so that you don't need to know how to program and you won't have to write no even one single line of code. You also don't need to be an artist to create the stickers and the frames for i will show you tips and tricks to follow along. Also you won't need to break the bank because all the tools and assets we use in this course are free to use* (free trial for Photoshop or use Gimp totally free)As a bonus, I give you the full source code of the camera app with lots of stickers for free! By the way, a source code like this would cost you thousands of dollars to get it built, and it could be yours just by taking the course..By the end of this course, you will end up with your very own iPhone camera app published in the iTunes app store. and then you can brag to your family and friends!Invest in yourself, invest in your education.Join the course now.WHAT YOU WILL GET AFTER COMPLETING THE COURSE ?You will have your very own Camera iPhone app publish

You can probably count on one hand the number of times you’ve had a deeply productive day. Whether it’s endless meetings, unending emails, or clients requesting "quick chats," your productivity likely gets derailed multiple times a day.That's where time blocking comes into play. Time blocking is the practice of planning out every moment of your day in advance and dedicating specific time “blocks” for certain tasks and responsibilities.In this course, you'll learn how and why your calendar is the best way to tackle your daily to-do’s and achieve peak productivity. We’ll also discuss why things like traditional to-do lists and apps often fail."Calendars fit time management like a glove. You only need to choose the right size."2021 update: Now includes calendar apps for time management.WHO THIS COURSE IS FOR:Busy parents Freelancers who juggle multiple clients Employees who struggle to get their work done each dayAnyone who's tired of saying "If only I had more time."BY THE END OF THIS COURSE: Your calendar will look like a glorious rainbow of productivity, but you deserve it! You deserve to actually get stuff done and tackle the projects that keep getting put on the back-burner, just like you deserve to fully disconnect and be guilt-free and present when you're hanging out with friends or family (or just watching Netflix as you soak in a glorious bubble bath).So schedule some time (hint hint) to take this Udemy course and start tackling your to-do's like an efficiency machine!MEET YOUR INSTRUCTOR: I'm Erin, I've been a

Welcome to the Complete MLOps Bootcamp With End to End Data Science Project, your one-stop guide to mastering MLOps from scratch! This course is designed to equip you with the skills and knowledge necessary to implement and automate the deployment, monitoring, and scaling of machine learning models using the latest MLOps tools and frameworks.In today’s world, simply building machine learning models is not enough. To succeed as a data scientist, machine learning engineer, or DevOps professional, you need to understand how to take your models from development to production while ensuring scalability, reliability, and continuous monitoring. This is where MLOps (Machine Learning Operations) comes into play, combining the best practices of DevOps and ML model lifecycle management.This bootcamp will not only introduce you to the concepts of MLOps but will take you through real-world, hands-on data science projects. By the end of the course, you will be able to confidently build, deploy, and manage machine learning pipelines in production environments.What You’ll Learn:Python Prerequisites: Brush up on essential Python programming skills needed for building data science and MLOps pipelines.Version Control with Git & GitHub: Understand how to manage code and collaborate on machine learning projects using Git and GitHub.Docker & Containerization: Learn the fundamentals of Docker and how to containerize your ML models for easy and scalable deployment.MLflow for Experiment Tracking: Master the use of MLFlow to track experiments, manage models, and seamlessly integrate with AWS Cloud for model management and deployment.DVC for Data Versioning: Learn Data Version Control (DVC) to manage datasets, models, and versioning efficiently, ensuring reproducibility in your ML pipelines.