In this post,we take look at 4 New Courses starting this month.If you’re looking for most popular courses of 2018 ,its here.For specializations,check out here.There is also best compilation that will boost your career and expand your knowledge. Check them out, and start learning today!
The Open Source Software Development, Linux and Git Specialization will give you a strong foundation for working comfortably and productively in open source development communities. By completing the specialization, you’ll have a better understanding of the Linux environment, as well as methods and tools required to successfully use it, and you’ll know how to use git, the distributed version control system.
- Open Source Software Development Methods – In this course, we will define what open source software is, we will go over the history of open-source software and what benefits it has provided to the world’s technology infrastructure over the decades. The course aims to teach you how to work in open source projects productively and gain a lot of benefits from it, and really understand what the advantages are. You will learn about collaboration best practices, and how to encourage diversity in open source projects. We will discuss the different licensing models that are available, as this will help you decide what the best license is for your project. We will talk about methods that are commonly used, such as Continuous Integration, and use of GitHub and other hosting providers as a central meeting place for open source projects, and we will provide some examples of successful open source projects.
- Linux for Developers – In course 1 we talked about open source software and the motivation and methods of using it. In course 2, we will introduce you to Linux systems, and help you feel comfortable working at the command line: What Linux is, Linux history, How to separate the kernel from the entire operating system, Making contributions to the kernel, Graphical system, and how it works, Working at the command line Filesystem layout, partitions, Monitoring utilities. You will learn what it’s like to work on the Linux system and get a good understanding of the essential skills you need when you work on a daily basis with Linux systems.
- Linux Tools for Developers – Course 3 is a continuation of the previous course and will focus on teaching you how to work with tools you need to do your everyday work. The course begins by introducing you to numerous essential command-line tools that are used daily. Then, it focuses on bash scripting – you will learn how to construct scripts and how to do very complicated tasks in an automated way. The course looks at files and filesystems and focuses on compiling programs in Linux, using GCC and other compilers, and using libraries of different types. It also takes a look at how Java works in Linux and explains why there is no reason to worry about having easy-to-use Java programs in Linux. Course 3 ends by covering building packages out of software in Linux.
- Using Git for Distributed Development – Course 4 focuses on using git for open source software distributed development. Git is a revision control system that arose out of the Linux kernel development community. Git was designed to help developers spread across the globe working on complicated projects coordinate their work in a rational way and keep track of everything they were doing. Overtime, Git has grown to be used by millions of projects today. This course gives you the opportunity to learn how to use git efficiently and make contributions in a relatively short amount of time. The course will help you get the skills to have a good understanding of how to use git. You will have a piece of good knowledge of git workflows, identifying problems in your workflows, and finding solutions to solve these problems.
This course teaches the theory of Service Level Objectives (SLOs), a principled way of describing and measuring the desired reliability of service. Upon completion, learners should be able to apply these principles to develop the first SLOs for services they are familiar within their own organizations.
Learners will also learn how to use Service Level Indicators (SLIs) to quantify reliability and Error Budgets to drive business decisions around engineering for greater reliability. The learner will understand the components of a meaningful SLI and walk through the process of developing SLIs and SLOs for an example service.
This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.
You will have lots of opportunities to practice. You will also learn ways to reason about program execution so that it is no longer mysterious and you are able to debug programs when they don’t work.
By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.
- Python Basics – This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You’ll program an on-screen Turtle to draw pretty pictures. You’ll also learn to draw reference diagrams as a way to reason about program executions, which will help to build up your debugging skills. The course has no prerequisites. It will cover Chapters 1-9 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course.
- Python Functions, Files, and Dictionaries – This course introduces the dictionary data structure and user-defined functions. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions, and lambda expressions. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out .csv files. It covers chapters 10-16 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course.
- Data Collection and Processing with Python – This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You’ll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the Flickr photo-sharing site.
- Python Classes and Inheritance – This course introduces classes, instances, and inheritance. You will learn how to use classes to represent data in concise and natural ways. You’ll also learn how to override built-in methods and how to create “inherited” classes that reuse functionality. You’ll also learn about how to design classes. Finally, you will be introduced to the good programming habit of writing automated tests for their own code.
- Python Project: pillow, tesseract, and OpenCV – This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and py-tesseract), and how to identify faces in images using the popular OpenCV library. By the end of the course, you will have worked with three different libraries available for Python 3 to create a real-world data analysis project.
This course will introduce you to Amazon Web Services (AWS) core services and infrastructure. Through demonstrations, you’ll learn how to use and configure AWS services to deploy and host a cloud-native application.
Early in the course, your AWS instructors will discuss how the AWS cloud infrastructure is built, walk you through Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Lightsail compute services. They’ll also introduce you to networking on AWS, including how to set up Amazon Virtual Public Cloud (VPC) and different cloud storage options, including Amazon Elastic Block Storage (EBS), Amazon Simple Storage Service (S3) and Amazon Elastic File Service (EFS). Later in the course, you’ll learn about AWS Database services, such as Amazon Relational Database Service (RDS) and Amazon DynomoDB. Your instructors will also walk you through how to monitor and scale your application on AWS using Amazon CloudWatch and Amazon EC2 Elastic Load Balancing (ELB) and Auto Scaling. Lastly, you’ll learn about security on AWS, as well as how to manage costs when using the AWS cloud platform.
In this course, you won’t be required to complete hands-on exercises, but we strongly suggest you take advantage of the AWS Free Tier to follow along as the instructors demonstrate the AWS services. Class forums will also allow you to ask questions and interact with AWS training instructors. After completing this course, you’ll have the basic fundamentals to get started on AWS.
This course has been developed by AWS and is delivered by AWS technical instructors who teach cloud computing courses around the globe.
If you’re looking for the most popular courses, it’s here. For specializations, check out here. There is also the BEST compilation that will boost your career and expand your knowledge. Check them out, and start learning today!
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