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AWS Mastery: Basics to Real-World AWS Projects Unleashed

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AI Sciences,AI Sciences Team

6:54:49

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  • 1 - Introduction to course.mp4
    02:21
  • 2 - Introduction to Aisciences.mp4
    02:07
  • 3 - Detail of Projects.mp4
    08:59
  • 4 - Whats Next.mp4
    01:56
  • 5 - Links for the Courses Materials and Codes.html
  • 6 - Links for the Courses Materials and Codes.html
  • 7 - Introduction to AWS Creating AWS Account.mp4
    05:15
  • 8 - Introduction to AWS Exploring AWS Management Console.mp4
    04:55
  • 9 - Introduction to AWS Overview of AWS Services.mp4
    04:00
  • 10 - Introduction to AWS AWS Services.mp4
    09:19
  • 11 - Introduction to AWS IAM Policy Overview.mp4
    02:51
  • 12 - Introduction to AWS IAM Demo.mp4
    08:07
  • 13 - Compute and Storage Services Simple Storage Service.mp4
    06:18
  • 14 - Compute and Storage Services S3 Versioning.mp4
    05:42
  • 15 - Compute and Storage Services S3 Lifecyle.mp4
    04:08
  • 16 - Compute and Storage Services S3 Event Triggers.mp4
    07:51
  • 17 - Compute and Storage Services Introduction to AWS Lambda.mp4
    06:27
  • 18 - Compute and Storage Services Parsing Event in Lambda.mp4
    06:38
  • 19 - Compute and Storage Services Lambda Layer Introduction.mp4
    01:59
  • 20 - Compute and Storage Services Creating Lambda Layer.mp4
    05:31
  • 21 - Compute and Storage Services How to add Layer.mp4
    03:03
  • 22 - Compute and Storage Services AWS Glue.mp4
    02:37
  • 23 - Compute and Storage Services AWS Glue Job.mp4
    05:27
  • 24 - Compute and Storage Services Glue Crawler.mp4
    04:07
  • 25 - Infrastructure as Code and Automation Introduction to Cloudformation.mp4
    03:09
  • 26 - Infrastructure as Code and Automation Creating S3 Bucket using Cloudformation.mp4
    02:05
  • 27 - Infrastructure as Code and Automation AWS CLI.mp4
    06:03
  • 28 - Network and Database Introduction to Virtual Private Cloud.mp4
    06:54
  • 29 - Network and Database Creating Virtual Private Cloud using Console.mp4
    07:06
  • 30 - Network and Database AWS Relational Database Service.mp4
    02:48
  • 31 - Network and Database Creating RDS Database using Console.mp4
    07:11
  • 32 - Network and Database Accessing RDS Instance using Glue.mp4
    07:04
  • 33 - Network and Database Introduction to AWS Redshift.mp4
    02:47
  • 34 - Network and Database Creating Redshift Cluster in Console.mp4
    05:16
  • 35 - Network and Database Dynamodb.mp4
    01:58
  • 36 - Network and Database Creating and Accessing Dynamodb Table.mp4
    03:42
  • 37 - Additional Services Introduction to AWS Security and Simple Queue Service.mp4
    05:15
  • 38 - Additional Services Accessing Secret Manager and Key Management Service using Console.mp4
    02:47
  • 39 - Additional Services Creating a Queue in Simple Queue Service.mp4
    06:31
  • 40 - Additional Services Introduction to Simple Notification Service.mp4
    02:35
  • 41 - Additional Services Creating and Sending Email using Simple Notification Service.mp4
    03:47
  • 42 - Hands On Exercise Problem Statement.mp4
    05:51
  • 43 - Hands On Exercise Proposed Solution.mp4
    02:09
  • 44 - Hands On Exercise Exploring the Lambda Function.mp4
    19:17
  • 45 - Hands On Exercise Testing the Pipeline.mp4
    07:48
  • 46 - Hands On Exercise Analyze the Data using Athena.mp4
    10:40
  • 47 - Links for the Courses Materials and Codes.html
  • 48 - Notification System Problem Statement.mp4
    01:55
  • 48 - Notification-System-Function.zip
  • 49 - Notification System Creating Notification Pipeline.mp4
    13:34
  • 49 - Notification-System-Function.zip
  • 50 - Access RDS using AWS Lambda and On premise Database Engine Problem Statement and Architecture.mp4
    04:09
  • 50 - Private-RDS-Access.zip
  • 51 - Access RDS using AWS Lambda and On premise Database Engine Initiating the Resources.mp4
    08:29
  • 51 - Private-RDS-Access.zip
  • 52 - Access RDS using AWS Lambda and On premise Database Engine Creating Lambda and Required Resources.mp4
    11:38
  • 52 - Private-RDS-Access.zip
  • 53 - Access RDS using AWS Lambda and On premise Database Engine Accessing the Private Instance.mp4
    06:49
  • 53 - Private-RDS-Access.zip
  • 54 - Access RDS using AWS Lambda and On premise Database Engine Deleting the Resources.mp4
    01:54
  • 54 - Private-RDS-Access.zip
  • 55 - Access RDS using AWS Lambda and On premise Database Engine Accessing Public Instance.mp4
    05:39
  • 55 - Private-RDS-Access.zip
  • 56 - Analysing Sales Data using Quicksight Problem Statement.mp4
    04:48
  • 56 - SaaS-Sales.csv
  • 57 - Analysing Sales Data using Quicksight Building a Dashboard.mp4
    16:43
  • 57 - SaaS-Sales.csv
  • 58 - Analysing Sales Data using Quicksight Deleting the Subscription.mp4
    01:12
  • 58 - SaaS-Sales.csv
  • 59 - Data Ingestion and Extraction with Redshift Problem Statement.mp4
    02:25
  • 59 - Loading-Data-Sample-Files.zip
  • 60 - Data Ingestion and Extraction with Redshift Creating Resources.mp4
    05:38
  • 60 - Loading-Data-Sample-Files.zip
  • 61 - Data Ingestion and Extraction with Redshift Loading the Data into Redshift Cluster.mp4
    08:56
  • 61 - Loading-Data-Sample-Files.zip
  • 62 - Data Ingestion and Extraction with Redshift Unload Data from Redshift to S3.mp4
    04:34
  • 62 - Loading-Data-Sample-Files.zip
  • 63 - Conditional Workflow Problem Statement.mp4
    04:34
  • 63 - convert-number.zip
  • 63 - test-even-odd.zip
  • 64 - Conditional Workflow Creating Lambda Functions.mp4
    06:10
  • 64 - convert-number.zip
  • 64 - test-even-odd.zip
  • 65 - Conditional Workflow Creating State Machine.mp4
    09:42
  • 65 - convert-number.zip
  • 65 - test-even-odd.zip
  • 66 - Conditional Workflow Executing Pipeline.mp4
    03:35
  • 66 - convert-number.zip
  • 66 - test-even-odd.zip
  • 67 - Ingesting IOT Data to S3 Problem Statement.mp4
    02:22
  • 67 - Simulator.zip
  • 67 - Transformation-Lambda-Function.zip
  • 68 - Ingesting IOT Data to S3 Architecture and Review of the Services.mp4
    04:41
  • 68 - Simulator.zip
  • 68 - Transformation-Lambda-Function.zip
  • 69 - Ingesting IOT Data to S3 Creating all the Services.mp4
    21:00
  • 69 - Simulator.zip
  • 69 - Transformation-Lambda-Function.zip
  • 70 - Ingesting IOT Data to S3 Executing Pipeline.mp4
    03:57
  • 70 - Simulator.zip
  • 70 - Transformation-Lambda-Function.zip
  • 71 - Database Migration Problem Statement.mp4
    02:06
  • 72 - Database Migration Initializing Database in EC2 Instance.mp4
    08:18
  • 73 - Database Migration Initializing RDS Instance.mp4
    02:29
  • 74 - Database Migration Creating DMS Endpoints and Replication Instance.mp4
    09:34
  • 75 - Database Migration Creating and Running Migration Task.mp4
    05:37
  • Description


    AWS Mastery: From Basics to Real-World Projects – Your Ultimate Guide to Amazon Web Services (AWS)

    What You'll Learn?


    • • A Solid Grasp of AWS Basics
    • • Hands-on Experience in Deploying and using Multiple AWS Services
    • • Exposure with Transformation and Analysis of Data using Cloud
    • • Utilisation of AWS Free Tier Account
    • • Hands-on Experience with AWS Services
    • • Practical Skills in Building Real-World AWS Projects
    • • Insights into Cloud-Based Data Processing and Analysis
    • • Working with programming language on aws cloud

    Who is this for?


  • • Aspiring Data Engineers
  • • Developers Interested in Cloud
  • • Business Concerns who want to start suing Cloud
  • • Aspiring Cloud Enthusiasts
  • • Developers Exploring AWS
  • • Business Professionals Interested in Cloud Technology
  • • Students Pursuing Tech Careers
  • • Tech Enthusiasts and Hobbyists
  • • Career Changers
  • What You Need to Know?


  • No prior Experience with AWS is required, but a Basic understanding of Python will be helpful.
  • More details


    Description

    Welcome to the Ultimate AWS Cloud Computing Masterclass!


    Are you ready to unlock the full potential of Amazon Web Services (AWS) and elevate your career in cloud computing? 

    This comprehensive course seamlessly blends the foundational knowledge of AWS Fundamentals with the excitement of 7 AWS Projects designed to supercharge your portfolio. Whether you're a data engineer, developer, or a savvy business professional, this is your golden ticket to mastering the world of AWS


    By the end of this course, you'll not only have the knowledge but also the practical skills to soar in the dynamic world of cloud computing.


    Module 1: Introduction and Overview

    Gear up for an incredible journey to success! In this module, we'll provide you with an in-depth overview of the course. You'll gain insights into our structured curriculum, the exciting topics we'll cover, and the promising learning outcomes that await you. Get ready to embark on a transformative learning expedition!


    Module 2: AWS Fundamentals

    Let's kickstart your AWS adventure! We'll guide you through setting up your free tier AWS account and immersing yourself in the user-friendly interface. Dive deep into compute and storage services, where you'll get hands-on experience with Lambda functions and Glue for data transformation. This module is all about hands-on exploration!


    Module 3: Infrastructure as Code and Automation

    Elevate your expertise! Learn to craft AWS resources, harness templates for access, and become a master of automation using powerful bash commands. Witness your capabilities soar as you delve into the core of cloud infrastructure and automation.


    Module 4: Networking and Database Services

    Navigate the intricacies of AWS networking as you create RDS and Redshift databases. Dive into DynamoDB for NoSQL database mastery. Forge your path through essential networking and database services in the AWS universe.


    Module 5: Advanced Topics and Additional Resources

    Master the indispensable elements of deploying cloud solutions. Discover how to safeguard AWS with IAM and encryption. Seamlessly integrate services like SQS and SNS. Uncover the depth and versatility of AWS solutions for advanced cloud deployment.


    Module 6: Hands-on Projects

    This is the pinnacle of your journey! Apply your accumulated knowledge through captivating hands-on projects. Engage in crafting file upload systems, sculpting serverless data analysis platforms, envisioning sales analytics dashboards, constructing data ingestion pipelines, orchestrating conditional workflows, mastering real-time IoT data ingestion, and executing seamless on-premises to AWS RDS database migration. Experience the thrill of turning theory into practical, real-world applications!


    Join us on this epic AWS adventure and supercharge your cloud computing skills and portfolio!



    Who Should Take This Course:

    • Data engineers looking to expand their skills

    • Developers aiming to become AWS experts

    • Business professionals seeking cloud computing proficiency

    • Anyone looking to advance their career in cloud technology


    What You Will Learn:

    • AWS Fundamentals and setting up your AWS account

    • Infrastructure as Code (IAC) and automation using bash commands

    • Networking essentials in AWS, including RDS, Redshift, and DynamoDB

    • Advanced cloud deployment concepts and security measures

    • Practical implementation through 7 hands-on AWS projects


    Why This Course:

    • Gain both knowledge and practical skills in AWS

    • Elevate your expertise and career prospects in cloud computing

    • Build a robust portfolio with 7 diverse AWS projects

    • Learn from experienced AWS professionals and instructors



    List of Keywords:

    • AWS Fundamentals

    • Cloud Computing

    • Infrastructure as Code (IAC)

    • Automation

    • Networking

    • Database Services

    • Advanced Cloud Deployment

    • Hands-on Projects

    • AWS Portfolio

    • Cloud Skills

    • Cloud Career

    • AWS Expertise




    Who this course is for:

    • • Aspiring Data Engineers
    • • Developers Interested in Cloud
    • • Business Concerns who want to start suing Cloud
    • • Aspiring Cloud Enthusiasts
    • • Developers Exploring AWS
    • • Business Professionals Interested in Cloud Technology
    • • Students Pursuing Tech Careers
    • • Tech Enthusiasts and Hobbyists
    • • Career Changers

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    We are a group of experts, PhDs and Practitioners of Artificial Intelligence, Computer Science, Machine Learning, and Statistics. Some of us work in big companies like Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.We decided to produce a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of Machine Learning, Statistics, Artificial Intelligence, and Data Science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory and without a long reading. Today we also publish a more complete course on some topics for a wider audience.Our courses have had phenomenal success. Our Courses have helped more than 100,000 students to master AI and Data Science.
    AI Sciences Team
    AI Sciences Team
    Instructor's Courses
    We are a group of experts, PhDs and Practitioners of Artificial Intelligence, Computer Science, Machine Learning, and Statistics. Some of us work in big companies like Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.We decided to produce a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of Machine Learning, Statistics, Artificial Intelligence, and Data Science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory and without a long reading. Today we also publish a more complete course on some topics for a wider audience.Our courses have had phenomenal success. Our Courses have helped more than 100,000 students to master AI and Data Science.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 72
    • duration 6:54:49
    • Release Date 2023/12/16