Requirements

• Basic computer Skills with Programming knowledge(Optional)

Description

Welcome to the Course NumPy, Pandas, Matplotlib in Python using Amazon SageMaker

This course contains Career building python skills which has been used by the world’s largest companies for everything from building python Data structure to implementing the industry projects and computer vision by using OpenCV to data science and machine learning by AWS SageMaker.

With SageMaker both Data scientist and developers can quickly and easily build and train a machine learning models and deploy them to the production hosted ready

Environment!! It has internal SageMaker Studio instance for an easy access to your data sources for analysis and deploy your model effortlessly.

Python has rapidly become go-to language in the data science field and is among the first things recruiters search for in a data scientist’s skill set.

Its an amalgamation of Computer science , Statistics and required domain knowledge as per the industry problems. The top notch companies uses Python some of them are “ Google, Facebook,Instagram,Dropbox,Netflix”.

Python is a general-purpose, versatile, and powerful programming language.

It’s a great first language because it’s concise and easy to read.

Whatever you want to do, Python can do it ,From web development to machine learning to data science,

Python is the language for if you are new to computer language then python is something you can start with and kind of approach and logic and

application python has and is something pretty versatile in itself.

“Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high-quality models.” Introduction quoted from the website of AWS SageMaker.

Amazon SageMaker helps data scientists and developers to prepare, build, train and deploy high-quality machine learning(ML) models quickly by bringing together a broad set of capabilities purpose-build for ML.

AWS SageMaker has been a great deal for most data scientists who would want to accomplish a truly end-to-end ML solution. It takes care of abstracting a ton of software development skills necessary to accomplish the task while still being highly effective and flexible and cost-effective.

Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models.

Why Learn Python?

Python is extremely popular language world-wide , it has large programming community available online. And also it has excellent Documentation , python is one of those language has number applications available in the various industries and many large industries are looking for python experts .

This course will make it easy for you to learn Python and get ahead of your competition.

Why Choose This Course?

You will conquer the best knowledge about the subject and by using latest and one of the most used technology world wide.

You will learn basics of python language as well have deeper understanding of the using of AWS SageMaker.

Get hands on practice on the python and learn to code like an expert.

At the end of the course we will be offering you the python based projects to improve your skills and knowledge about the subject.

you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.

Explore the wider possibilities of what you can do with Python, including databases, Computer vision and Web Scraping.

Become job-ready by learning about Python’s flow control,Functions,Data Types, File Handling ,Object- class and also sound knowledge on AWS SageMaker, getting user friendly with AWS SageMaker instances to deploy models.

And you will also have the hands on experience with the industry projects. You will learn and get to have access on projects like Gaming in Python, And you will learn OpenCV Project which works on real time.which will not only prepare you to write your own python code but also helps you to land on your Dream job.

Who Is This Course For?

Beginners who have never programmed before.

Programmers who wants know learn AWS SageMaker.

Programmers with experience in other languages who want to start their Python programming.

Programmers who know some Python but want to round off their skills and become truly proficient with AWS SageMaker.

What Am I Going to Get From This Course?

Lifetime access to  28 lectures covering all aspects of Python including the opening of AWS Free Account and learn from the foundations to advanced concepts.

Extremely interactive sessions from tutor and get Assignments to practice yourself and get your hands on practice with the subject.

Milestone projects for you to complete throughout the course. These provide a challenge and an opportunity for you to apply what you've learned. We always go over the code after to show you how we would tackle them.

Offering the best quality material to practice theory and code files.

And also this is just an introductory course for the python beginners by using AWS SageMaker.

We will soon be launching on Machine learning using AWS SageMaker.

Don't Wait! Join the Course and Begin Coding in Python today!

Who this course is for:

• Beginner programmers who want to get into one of the most popular and loved languages in the world. Programmers wants to learn advanced Technology like AWS SAGEMAKER and have hold in the market . Programmers from other languages who want to kickstart their Python journey Python programmers who want to refresh their skills and tackle advanced topics like algorithms and asynchronous programming. Programmers who wants to learn how to approach and practise new upcoming projects in the industry.