Creating Intelligent Data-Driven Enterprise Apps with AWS

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John Harper

2:29:27

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1. Welcome

1. Introduction.mp4

02:09

2. Getting Started

1. Understanding Intelligent Application Architectures.mp4

11:29

2. Learning AWS Tools.mp4

04:46

3. Learn and Understand Project Directory Structure.mp4

03:43

4. Learn and Understand Project Workflow.mp4

02:08

3. Learn How to Deploy Your First Application with AWS

1. Introduction.mp4

04:52

2. Learn How to Create the ETL Pipeline.mp4

03:32

3. Learn How to Finish the ETL Pipeline.mp4

10:51

4. Lets Review the Application - Demo 1.mp4

03:35

5. Learn How to Design a Machine Learning Application.mp4

04:50

6. Learn How to Deploy the Machine Learning Application.mp4

07:22

7. Learn How to Finish the Machine Learning Application.mp4

07:14

8. Lets Review the Application - Demo 2.mp4

08:10

4. Learn How to Integrate a Database Layer

1. Learn How to Design Database Layer Application.mp4

04:19

2. AWS Database Loading Data Into Redshift - 1.mp4

05:32

3. AWS Database Loading Data Into Redshift - 2.mp4

11:37

4. AWS Database Loading Data Into RDS - 1.mp4

05:53

5. AWS Database Loading Data Into RDS - 2.mp4

03:02

6. Lets Review the Integration.mp4

04:05

5. Learn How to Integrate Smart Stream Ingestion

1. Learn How to Design a Streaming Data Ingestion Application.mp4

04:45

2. Learn How to Configure Kinesis Data Generator - 1.mp4

03:58

3. Learn How to Configure Kinesis Data Generator - 2.mp4

04:29

4. Learn How to Create Kinesis Streaming Analytics Applications - 1.mp4

05:45

5. Learn How to Create Kinesis Streaming Analytics Applications - 2.mp4

05:43

6. Learn How to Create Kinesis Streaming Analytics Applications - 3.mp4

11:49

7. Lets Review Kinesis Analytics.mp4

03:49

Description

This course teaches you how to design and deploy intelligent Data-Driven applications using Amazon Web Service.

What You'll Learn?

Learn how to use a range of AWS to build a variety of Intelligent Data-Driven applications
Commit, build, and deploy AWS Deployment services
Use EC2 Container Service effectively and achieve efficiency
Databases essentials
Learn How to Integrate a Database Layer
RDS and how to use it
Redshift and how to use it
Kinesis and how to use it
Manage applications with Elastic BeanStalk
Discover AWS AI additions offered by AWS
Learn about the breadth of AI services available on the AWS Cloud

Who is this for?

Application Developers

Web Developers

Software Developers

Programmers

Anyone interested in AWS

More details

Description
Welcome to this course. Artificial intelligence is powering unprecedented innovation across industries - from healthcare to automotive to finance. However, many organizations still struggle with the best approach to data and tools to build intelligent systems. With the increasing global interest in leveraging cloud infrastructure, Amazon Web Services (AWS) offers compute power, database storage, content delivery, and other functionalities to help businesses scale and grow. In this course, youâ€™ll learn how to build powerful Intelligent applications on AWS, as well as Amazon SageMaker, a fully-managed platform for machine learning that allows you to quickly and easily build, train, and deploy machine learning models at any scale. Whether youâ€™re just getting started with AI or youâ€™re a deep learning expert, this course will provide a meaningful overview of how to improve scale and efficiency with the AWS Cloud. AWS is recognized as one of the biggest market leaders for cloud computing and why not? AWS cloud products and solutions are used to build sophisticated applications with increased flexibility, scalability, and reliability. The variety of features available within AWS can reduce overall infrastructure costs and accelerate the development process for both large enterprises and startups alike.

In this course, you'll learn:
Learn how to use a range of AWS to build a variety of Intelligent Data-Driven applications
Commit, build, and deploy AWS Deployment services
Use EC2 Container Service effectively and achieve efficiency
Databases essentials
Learn How to Integrate a Database Layer
RDS and how to use it
Redshift and how to use it
Kinesis and how to use it
Manage applications with Elastic BeanStalk
Discover AWS AI additions offered by AWS
Learn about the breadth of AI services available on the AWS Cloud
Who this course is for:
Application Developers
Web Developers
Software Developers
Programmers
Anyone interested in AWS

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Hi. I am a senior data scientist with a background in applied mathematics and economics. I have more than 14 years of experience in various analytical roles. I have experience in building product quality prediction systems for multiple industries. I have used forecasting techniques to build virtual sensors for industrial production lines. I have also helped multiple customers build forecasting and anomaly detection systems to increase their business efficiency.

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