AWS I Machine Learning 2023 Course I Certification I Training
AWS I Machine Learning 2023 Course
Learn how to use Amazon Sage Maker and other AWS services to build machine learning models and apply them to data. This Machine Learning training course is ideal for anyone wanting to learn machine learning basics or advance their current knowledge of the subject. You will be able to create, train, and deploy a range of machine learning algorithms using various AWS services. The course walks you through the basic logic behind your models and teaches you how to work with datasets in order to make predictions using custom functions.
What will you learn?
Data Engineering
Amazon S3
AWS Data Stores in Machine Learning
AWS Batch
Exploratory Data Analysis
Python in data science and Machine Learning
Amazon Athena
Binning, Transforming, Encoding, Scaling and Shuffling
Modelling
Deep Learning
Neural Networks
Confusion Matrix
SageMaker
ML Implementation and Operations
And a lot more, in short, it’s a detailed course on AWS and Machine Learning.
AWS
AWS, the world’s most comprehensive and broadly adopted cloud platform, is a highly scalable and flexible platform that can run your applications and data centres across the world.
Amazon Web Services (AWS) offers enterprise and government customers a broad set of reliable, scalable, secure and affordable cloud computing services to power their digital workflows. AWS is trusted by thousands of customers in every industry—including 99 per cent of the Fortune 500—to power their most critical applications and infrastructure. AWS services are used by millions of active users from more than 190 countries around the world.
Machine Learning
Machine learning is a field of computer science, engineering and mathematics that deals with the creation of algorithms that can automatically improve with experience.
Machine learning is a type of artificial intelligence (AI) that allows computers to learn without being pre-programmed with tons of detailed data sets. By learning from past experience, machine learning can identify patterns and make predictions about future events. While the concept of machine learning is already well established, it's just now starting to take off as a mainstream industry.
The ability to learn without being explicitly programmed is revolutionizing all sciences and technologies. Machine learning is applied in diverse areas and has become particularly successful in fields such as computer vision, natural language processing, e-commerce, bioinformatics and medical devices.
Job Opportunities for AWS and Machine Learning Professionals
AWS professionals can take their knowledge of AWS services and use them to build, deploy, and run machine learning models on EC2 and other AWS services. Machine learning professionals can work with customers either directly or via consulting or research companies that provide industry expertise in a particular area. Several companies offer courses that enable end-users to get a taste of machine learning in the cloud.
These job openings include Data scientists and analysts, Technical consultants, Software engineers, DevOps engineers and administrators, Cloud architects, QA / QA engineers and data centre architects.
They are responsible for designing and building the architecture, systems and services that customers depend on for real-time business transactions, for their applications to deliver information technology services to help drive digital transformation, and for designing data infrastructure to enable the largest companies to build a worldwide cloud service ecosystem.
SALARY
According to an industry report by PayScale, Amazon Web Services (AWS) professionals earn an average salary of $129,359 per year. The AWS services offered and the skillsets required to be successful in the industry are at the forefront of everything that happens within the company. A job at AWS requires not only technical skills but also soft skills such as negotiation, project management and leadership development.
If you want to be the best AWS professional, then this is the right place for you. This course will demonstrate to you how to master each of the AWS services and make it easy for you to become an expert in using them. You will also learn how to create and utilize ML Prediction Models as well as advanced techniques such as Deep Learning and Vector Machine.
| Getting Started | 11 lectures | 17 mins |
| HTML and foundation | 11 lectures | 17 mins |
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| CSS and foundation | 17 lectures | 87 mins |
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| Making Responsive Website | 17 lectures | 87 mins |
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| Learn Sass less Scss | 17 lectures | 87 mins |
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| Learn about Cpanel and file uploads | 17 lectures | 87 mins |
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Enroll in this course now and avail all the benefits.
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The video online course is well-structured and comprehensive.
The topics are organized in proper sequence to enable the candidate understand them easily.
Easy to understand and implement in real life.
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Final certification exam conducted under surveillance of trained human proctor.
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