Machine Learning for Absolute Beginners - Level 1

Unlock the power of Microsoft Azure and take your Python development skills to the cloud! This hands-on course is designed for Python developers, students, and professionals who want to learn how to build, deploy, and scale applications using Azure services.You’ll start by exploring Azure resources, including Virtual Machines, Resource Groups, Databases, and Blob Storage. Then, you’ll learn how to deploy Python web applications like Django and Flask to Azure, complete with custom domains, SSL, and cloud databases.This course also covers automation with Python SDKs, serverless computing using Azure Functions, and integrating AI services such as Text-to-Speech and Speech-to-Text into your applications.By the end of the course, you’ll be able to:Manage Azure resources including (IAM, Virtual Machines, Blob Storage, App service and Resource Groups) programmatically using PythonDeploy and scale web applications on Azure Virtual Machines and App ServiceAutomate tasks with Azure Functions and Python SDKBuild and deploy Django and Flask applications in Azure Virtual machinesBuild and Deploy Django and Flask applications to Azure App servicesWhether you’re a beginner in cloud computing or an experienced Python developer looking to expand your skills, this course gives you practical, real-world experience deploying and managing cloud applications.

This course Software QA/Testing: Learn Testing with Demonstration will not only teach you about the testing but will show how you can prepare the test cases, test report by using Jira and how you can use the Browser stack for cross-browser testing, How you can test the mobile application and so on. The main goal of this course is to help existing or future QA analysts, testers and leads to build a solid foundation in Quality Assurance and Testing in order to excel in their job or be able to successfully pass the interview and secure the QA Quality Assurance analyst job. The structure of this course is very simple yet comprehensive and powerful and covers all the knowledge necessary and topics for Testing and Quality Assurance. You'll learn the processes, documents, terminology, and techniques used by QA - a practical course to prepare you to work as a QA team member in the real world. This course deals with a very important aspect of software engineering: quality assurance of software products and services.We need to develop quality software because:Reduces time to market for new productsEnhances market share compared to direct competitorsMinimizes "Scrap and rework" expensesMinimizes the risk of serious litigation Minimizes the risk of serious operating failure and delaysMinimizes the risk of bankruptcy or business failure, which may be attributed directly to poor quality or poor software quality. As a QA/Testing professionals, quality should be part of our way of doing things, we can improve the software quality by doing quality training to our human resources, so this course is just an effort towards that from my side. Wish you best of luck

Hi Beautiful people out there !Today I am introducing my brand new course titled "Build Frontend Responsive portfolio HTML CSS Website Design". In this course i have gone through from very scratch to pro level where i have shown all the steps clearly so you can follow along.This course contains all the modern technologies such as HTML 5 CSS 3 JavaScript JQuery as well. Hope all the modern technologies will help you out with the responsive website design or front end web development process. You will learn a complete portfolio website design as well as all the source file of this course is added to the respective videos's description and you can download as well. So not a single sources you have to look for. This course contains 24/7 Supports so if you stuck anywhere while building the website projects through this course then for sure i will fix it for you undoubtedly. If you have any issues while following the course then feel free to ask me i will be super glad to help you out and super happy to solve your concepts.Course contains :-HTML 5CSS 3JavaScriptMedia-Queries24/7 SupportsLifetime AccessSource file included + Much more.

Are you ready to build secure, modern, production-ready APIs with Flask and JWT Authentication?This course takes you from the absolute basics to advanced JWT concepts, guiding you step-by-step through real API security workflows used by professional backend developers.You will build a complete authentication system using Flask, SQLAlchemy, and JWTs, including user registration, login, access control, refresh tokens, token revocation, and claims-based authorization.This course focuses on practical, real-world skills — so by the end, you’ll be able to secure any Flask API confidently and professionally.What’s Inside This Course? (Content Overview)1. Project SetupYou’ll start by creating a clean project structure and setting up a Flask application ready for API development.2. Database Setup With Flask SQLAlchemyLearn how to configure SQLAlchemy, create database models, and prepare your backend for storing user data securely.3. Create User Accounts, Password Hashing, and BlueprintsBuild a complete user registration system with secure password hashing and organize your project using Flask Blueprints.4. Login and Create Access Refresh TokensImplement login functionality and generate JWT access and refresh tokens that will power your secure authentication flow.5. Protect Endpoints With JWTsLearn how to secure routes so only authenticated users can access them, preventing unauthorized access to your API.6. Error HandlingHandle common JWT-related errors such as missing tokens, invalid tokens, and expired tokens.This ensures your API returns clean, consistent, user-friendly error responses.7. JWT Claims for AuthorizationLearn how to add custom claims inside tokens and use them for permission-based access control.8. Automatic User Loading (Current User From Token)Ret

Welcome to this course of R for Data Analysis, Statistics, and Data Science, and become an R Professional which is one of the most favored skills, that employers need.Whether you are new to statistics and data analysis or have never programmed before in R Language, this course is for you! This course covers the Statistical Data Analysis Using R programming language. This course is self-paced. There is no need to rush, you can learn on your own schedule.This course will help anyone who wants to start a саrееr as a Data Analyst or Data Scientist.This course begins with the introduction to R that will help you write R code in no time. This course will provide you with everything you need to know about Statistics.In this course we will cover the following topics:· R Programming Fundamentals· Vectors, Matrices Lists in R· Data Frames· Importing Data in Data Frame· Data Wrangling using dplyr package· Qualitative and Quantitative Data· Descriptive and Inferential Statistics· Hypothesis Testing· Probability DistributionThis course teaches Data Analysis and Statistics in a practical manner with hands-on experience with coding screen-cast.Once you complete this course, you will be able to perform Data Analysis to solve any complex Analysis with ease.

This course delivers 600 carefully-crafted, scenario-based multiple-choice questions covering the entire full-stack web development landscape — from frontend fundamentals through advanced production architecture.Organized into six 100-question practice tests, you'll work through:Test 1: Frontend Fundamentals React — the Virtual DOM, hooks, Context API, closures, the event loop, and CSS layoutTest 2: Backend Node.js/Express — the event loop, middleware, authentication, GraphQL, WebSockets, and background jobsTest 3: MongoDB Database Design — embedding vs. referencing, indexing, aggregation, replica sets, sharding, and multi-tenancyTest 4: Full-Stack Integration APIs — API contracts, caching, optimistic updates, real-time features, and SagasTest 5: Testing, DevOps Deployment — CI/CD, Docker, Kubernetes, blue-green and canary deployments, observabilityTest 6: Advanced Patterns Best Practices — micro-frontends, CQRS, circuit breakers, resilience patterns, and distributed transactionsEvery question comes with a detailed explanation for all four options — not just the correct one — so you understand exactly why an answer is right and why the alternatives fall short. Questions are deliberately written to connect concepts across tests and reinforce genuine, applied reasoning rather than rote memorization.This course is ideal for interview preparation, self-assessment, and reinforcing what you've learned from other full-stack courses or real project experience. Whether you're a student consolidating your knowledge or a working developer sharpening your judgment before a technical interview, these practice tests are built to help you think like an engineer — not just recall a definition.