Agile Project Management: How to build anything Digital
التصنيف الكامل: Development > Software Engineering > Project Management

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Build and Deploy Lambda Functions: AWS with Python and Boto3
AWS Lambda is one of the fastest growing services of AWS! Join me in this course to learn how you can develop and deploy Python, Node.js or Java Lambda functions using Python and Boto3; manage your serverless functions easily! This course is part of a series of courses on AWS solutions with Python and Boto3 and now it’s time to implement serverless functions! AWS Lambda is a cornerstone service for serverless architectures on AWS. You do not manage infrastructure like CPU, memory, OS or patches you name it! All you have to do and worry about is your implementation and code! Let’s take a closer look at what we’re going to cover in this course step-by-step. In this course, we will start off with what we’ll build throughout the course and what you need to have on your computer to follow along with me. Don’t worry; I’ll explain everything you need very clearly and I’ll show you what you need to install and setup on your computer to work with AWS Lambda. There will be two different sections for Windows and MacOS users. These sections are basically identical and show how you can prepare your computer environment to be ready to work with AWS Lambda! I’ll show you how to install Python, Boto3 and configure your environments for these tools. I’ll also show you how you can create your own AWS account step-by-step and you’ll be ready to work AWS in no time! When we’re done with preparing our environment to work AWS with Python and Boto3, we’ll start implementing our solutions for AWS. First thing we’ll do is to create an IAM Access Policy for our Lambda Functions to access and communicate with other AWS resources like S3, CloudWatch and so on. Once we have it created, we’ll also create an IAM Role for our Lambda Function to execute

SOFTWARE TESTING MASTERCLASS-2025-JIRA | AGILE | API Testing
Course Updates Jan 2025 : Added Agile Video + Test Management using JIRA, Added Practice SetSep 2022 : Added(Updated) Detailed Videos to Work on JIRAApril 2021 : Added (Updated) Detailed Videos of Database Testing(SQL)Jan 2021 : Added (Updated) Videos of Unix/Linux commands for Software TestersSoftware Testing Course: This course includes Software Manual Testing (Basics & Advanced) + JIRA + Agile + Mobile Testing + Database Testing( SQL) + Unix Linux for Backend Testing+ Basics of API testing in very simple language and decent pace.You will find it "Most Complete Course" for any professional wants to start career in Software TestingIt is going to include all mandatory sections which are required to become a perfect Software Tester. Here you will also going to get basic information of mobile application manual testingThis software testing QA training course is designed by group of industry experts in a way that, it will progress from introducing you to the basics of software testing to advanced topics creating a test plan, Agile model, along with introduction and familiarity with Automation testing and test management tools JIRA and Postman.Manual Testing Coverage:You will cover all advance topics of manual testingDifferent types of TestingAgile- Scrum Model.Functional and Performance Testing.Test Case Designing in Details.Realtime Project Implementation.Testing Best Practices.Do and Don't for Software Tester.Mobile Testing ConceptsBug Life CyclesJIRA : For Bug Tracking & Task Management</

GraphQL: Learning GraphQL with Node.Js
GraphQL is a new API standard that provides a more efficient, robust and flexible alternative to REST. It was developed and open-sourced by Facebook and is now maintained by a large community of companies and individuals from all over the world. APIs have become ubiquitous components of software infrastructures. In short, an API defines how a client can load data from a server. At its core, GraphQL enables declarative data fetching where a client can specify exactly what data it needs from an API. Instead of multiple endpoints that return fixed data structures, a GraphQL server only exposes a single endpoint and responds with precisely the data a client asked for. How GraphQL is better than REST1. Increased mobile usage creates need for efficient data loadingIncreased mobile usage, low-powered devices and sloppy networks were the initial reasons why Facebook developed GraphQL. GraphQL minimizes the amount of data that needs to be transferred over the network and thus majorly improves applications operating under these conditions. 2. Variety of different frontend frameworks and platformsThe heterogeneous landscape of frontend frameworks and platforms that run client applications makes it difficult to build and maintain one API that would fit the requirements of all. With GraphQL, each client can access precisely the data it needs. 3. Fast development & expectation for rapid feature developmentContinuous deployment has become a standard for many companies, rapid iterations and frequent product updates are indispensable. With REST APIs, the way data is exposed by the server often needs to be modified to account for specific requirements and design changes on the client-side. This hinders fast development practices and product iterations.

Complete Python for Data Science & Machine Learning from A-Z
Welcome to my " Complete Python for Data Science Machine Learning from A-Z " course.Python with Machine Learning Data Science, Data Visulation, Numpy Pandas for Data Analysis, Kaggle projects from A-Z Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn't specialized for any specific problems.Python instructors at OAK Academy specialize in everything from software development to data analysis and are known for their effective, friendly instruction for students of all levels.Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn.Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks.Do you want to learn one of the employer’s most requested skills? If you think so, you are at the right place. Python, machine learning, Django, python programming, machine learning python, python Bootcamp, coding, data science, data analysis, programming languages.We've designed for you "Complete Python for Data Science Machine Learning from A-Z” a straightforward course for the Complete Python programming langu

PostgreSQL and MySQL for Beginners
4 Reasons why you should choose this SQL courseCarefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businessesComprehensive - covers basic and advanced SQL statements in both, PostgreSQL and MySQLDownloadable resources covering important topics on SQLYour queries on SQL and anything covered in the Masterclass will be responded by the Instructor himselfA Verifiable Certificate of Completion is presented to all students who undertake this SQL course.Why should you choose this course?This is a complete tutorial on SQL which can be completed within a weekend. SQL is the most sought after skill for Data analysis roles in all the companies. PostgreSQL and MySQL are highly desired skills for database management and data analysis roles. So whether you want to start a career as a data scientist or just grow you data analysis skills, this course will cover everything you need to know to do that.What makes us qualified to teach you?The course is taught by Abhishek, Pukhraj and Nadeem. Instructors of the course have been teaching Data Science and Machine Learning for over a decade. They have an in-depth knowledge in advanced SQL, PostgreSQL, MySQL, database management, and various data analysis tools available in the market.We are also the creators of some of the most popular online courses - with over 1 million enrollments and thousands of 5-star reviews like these ones:I had an awesome moment taking this course. It broaden my knowledge more on the power use of SQL as an analytical tools. Kudos to the instructor! - SikiruVery insightful, learning very nifty tricks and enough detail to make it stick in your mind. - ArmandOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course

Java Regular Expression Foundation
Regular expression is one of the fundamental skills in programming tasks. It doesn't matter what kinds of applications you are building, you may have to deal with strings and regular expressions such as finding a sub string, extracting a sub string, validating user's input format, and replacing sub strings. This course will walk you through all important topics in regular expression from basic to advanced concepts. Also, you will learn how to use regular expression in combination with different methods to manipulate strings in Java. Besides, You also will be able to distinguish the differences among those string-related methods so that you can use them appropriately. Although this course is demonstrated in Java language, you will almost the same regular expression concepts if you apply them in other programming languages as well such as C#, Python, Perl, and JavaScript. How to get the most benefits of the course? To get the most benefits of the course, before starting the first lecture, I would recommend you to take the 30 question quiz first. Don't worry if you never learned regular expression before or you just have a little bit skills. Just do the quiz, if you don't know, just guess. After finishing the quiz, don't worry about the results then, just take all 19 lectures one by one to learn all the fundamentals as well as advanced techniques. After completing 19 lectures, take the quiz again to see if you make a progress. Each question in the quiz also has an explanation for right or wrong reasons for each answer, and I would highly recommend you to read these explanations to revise what you have learned. And I assume students who take this course should already have basic knowledge and skills in Java language.
