CI/CD Deployment with AWS SAM using Github Action

CI/CD Deployment with AWS SAM using Github Action

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.

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Overview of AWS: Machine Learning Services (2022 Edition)

Overview of AWS: Machine Learning Services (2022 Edition)

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.

Read more

AWS Certified Machine Learning (Specialty) - Topic 1: Data Engineering

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.

AWS Machine Learning Specialty

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AWS Solution Architect(Associate) - Topic 10: Serverless Architecture

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.

Architecture of Building a Serverless Web Application

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AWS Solution Architect(Associate) - Topic 8: Applications

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.

Example: Clickstream analytics

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AWS Solution Architect(Associate) - Topic 6: VPCs

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.

Key Components to Deploy a Secure Server Endpoint in a VPC with Shared Subnets

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