Data Science and Machine Learning are surely some fast-moving industries and somewhat need you to study at all times to stay ahead and on top in the industry. But the first step of getting into this area seems dreadfully slow due to widely involved technologies and overwhelming terminologies that scare you out of shit.

AWS lowers the barrier to entry for companies and organizations looking for solutions of leveraging ML capabilities by offerings more than 20 services including low-level service like SageMaker, which helps build and manage infrastructure for developing environments, as well as high-level systems like Rekognition that come with pre-built Machine Learning models for image recognition.

This blog will go through nearly all the Machine Learning services offered by AWS.

Data Science and Machine Learning are surely some fast-moving industries and somewhat need you to study at all times to stay ahead and on top in the industry. But the first step of getting into this area seems dreadfully slow due to widely involved technologies and overwhelming terminologies that scare you out of shit.

AWS lowers the barrier to entry for companies and organizations looking for solutions of leveraging ML capabilities by offerings more than 20 services including low-level service like SageMaker, which helps build and manage infrastructure for developing environments, as well as high-level systems like Rekognition that come with pre-built Machine Learning models for image recognition.

This blog will go through nearly all the Machine Learning services offered by AWS.

SAM stands for Serverless Application Model.

The AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications. It provides shorthand syntax to express functions, APIs, databases, and event source mappings.

AWS Certified Machine Learning - Specialty is an advanced certification a bit different from the others, because it is the only one which focuses on specific sector knowledge not strictly tied to AWS services.

In fact, in order to pass the exam and obtain the certification, it’s fundamental being able to recognize, analyze and optimize different machine learning problems starting from use cases’ descriptions, without them being exclusively linked to peculiar AWS’ solutions.

Content Outline

A serverless architecture is a way to build and run applications and services without having to manage infrastructure. Your application still runs on servers, but all the server management is done by AWS.

You no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Learn more about serverless computing here.

AWS allows you to automate manual security tasks so you can shift your focus to scaling and innovating your business.

Customers are using AWS high level services(e.g. Amazon Kinesis)to collect, process, and analyze real-time data. In this way, they can react quickly to new information from their business, their infrastructure, or their customers.

For example, Epic Games ingests more than 1.5 million game events per second for its popular online game, Fortnite.

High availability protect against data center, availability zone, server, network and storage subsystem failures to keep your business running without downtime.

Virtual Private Cloud (AWS Amazon) lets you provision a logically isolated section of the Amazon Web Services Cloud where you can launch AWS resources in a virtue network that you define.

You have complete control over your virtual networking environment, including selection of your own IP address range, creation of subnets, and configuration of route tables and network gateways.