Cloud Computing with AWS Amazon Web Services

Get started with AWS quicksight to create visualizations, prepare data, and explore data science on the cloud, including sign-in with IAM and connecting S3 or Redshift.

Learn to import and upload datasets in quick site from S3, Oracle, GitHub, and Twitter, then visualize by grouping and value using sum, creating pie and bar charts.

Learn to create a tree map chart and customize existing charts, adjusting size by margin and color by price, while exploring color options, categories, and exporting dashboards for sharing.

Learn to edit and clean datasets, create calculated fields, and apply filters, then switch to visualization to create charts, using cloud connectors and two dashboards for preparation and visualization.

Learn to create a calculated field using ceil and concat to perform data preparation, data cleaning, and data modeling in a cloud computing context with aws amazon web services.

Create, edit, and delete calculated fields to derive columns like profit per unit and price per unit using ceiling and division, enabling data cleaning, data preparation, and visualization with filters.

Apply exclude and include filters to refine a dataset, hide columns, and create visualizations. Use date range and calculated field filters to generate actionable business insights.

Create map charts and bar charts from a dataset by applying filters and date ranges, then use conditional formatting and color harmony to highlight profits across countries.

Learn to create pivot tables in AWS QuickSight to summarize data by country and state, compute profit and tax with various aggregates, and apply conditional formatting to highlight key values.

Explore Amazon EC2, the elastic compute cloud, to launch scalable virtual servers in the cloud, pay-as-you-go, with root access, regional data centers, API control, and secure, elastic deployment options.

Learn to create and configure an EC2 instance on AWS, selecting operating systems, instance types, security groups, and networking, then launch and manage the instance.

Launch and manage an EC2 instance, review details, VPC settings, and security configurations. Connect via SSH or web console to install software such as Apache Tomcat, Node, and Python.

Explore Amazon Elastic Beanstalk, an orchestration service that deploys and scales infrastructure for apps, auto-scaling, load balancing, and managed runtime environments for languages like Python and Ruby.

Create an Elastic Beanstalk environment on the AWS cloud, deploy multiple applications quickly by uploading your own code or using a sample, and manage versions, configurations, and monitoring.

Learn how Amazon Lambda, a function-as-a-service, runs code in response to events, and integrates with API gateway, S3, and other services, paying only for compute time.

Create and manage an AWS Batch workflow by launching instances, configuring compute environments, and submitting jobs to queues with job definitions and security group considerations.

Learn how Amazon elastic container service lets you run Docker containers in a managed, scalable cluster without on-prem hardware, offering security, portability, and easy integration.

Discover practical use of Amazon ECS: creating, deploying, and scaling containers in a cluster with task definitions, templates, resource limits, logging, and load balancing.

Explore practical use of AWS elastic compute with EKS, configuring clusters and tasks via the AWS control panel, and planning hybrid cloud migrations through step-by-step configuration and role delegation.

Explore AWS virtual private cloud, a logically isolated section with subnets, IP addresses, routing tables, and security groups, and learn how to manage public versus private resources via VPN.

Launch a beginner-friendly AWS Lightsail bundle that combines compute, networking, DNS management, and a static IP for quick, affordable cloud deployments, including pre-configured WordPress options.

Learn about Amazon simple storage service as scalable object storage, storing data in buckets with object names, accessible anywhere, encrypted, and easily integrated with other cloud services for websites.

Learn to upload objects to Amazon S3, set permissions and encryption, and configure buckets with logging, replication, and static website hosting for AWS integrations.

Learn how Amazon Glacier provides cold storage for infrequently accessed data, offering very low costs, 99.9% durability, and 3-5 hour retrieval latency, with seamless S3 import/export workflows.

Explore AWS Glacier for low-cost data archiving within Amazon cloud storage, and learn to store and upload files directly from Glacier or your system, with asset-based options and locks.

Explore amazon elastic block store as scalable, encrypted, block storage with automatic replication in an availability zone, volume types, and snapshot backups for robust data protection.

Learn how amazon elastic file system (efs) provides elastic, durable shared storage via a file system interface for ec2 workloads, accessible via api with multi-instance access, backups, and disaster recovery.

Navigate the Amazon cloud dashboard to create and configure a file system, set up subnets and regions, and upload files or copy clients for cloud storage workflows.

Discover how AWS Storage Gateway connects on-premises storage to the cloud, enabling secure transfer to S3 and Glacier, with iSCSI-based block storage and CloudWatch and CloudTrail logging.

Learn to configure a storage gateway for Amazon, provisioning volumes quickly and storing data in Amazon S3 or glaciated storage, using a host platform and gateway IP to connect.

Explore AWS database services such as DynamoDB, RDS, ElastiCache, and Redshift, and compare self-managed versus managed options focusing on infrastructure, backups, and security.

Explore Amazon DynamoDB as a scalable, document-oriented database that is not relational and supports fast, single-digit latency, with a web API and DynamoDB streams to trigger AWS Lambda-driven processing.

Explore Amazon ElastiCache, an in-memory cache that speeds apps by bypassing database access, with use cases like session data and credential hashes, integrated with Lambda, DynamoDB, API Gateway, and S3.

Learn to create and manage an Amazon ElastiCache cluster, choosing memcache, configuring VPC subnets and availability zones, enabling backups and retention, and integrating SNS notifications for cross-language access.

Explore Amazon RDS as a managed, pay-as-you-go relational database that deploys quickly, supports schemas and queries, automates backups, and offers read replicas, multi-vendor options, and CloudWatch monitoring for scalable performance.

Learn to create and configure an Amazon RDS database instance, choose engines such as Aurora or traditional relational databases, set credentials, storage, security, backups, and maintenance.

Explore Amazon Redshift as a cloud data warehouse with columnar storage and massively parallel processing for scalable analytics and business intelligence integration.

Learn to create and manage an Amazon Redshift cluster, a fully managed cloud data warehouse, configuring node types, master user credentials, IAM roles, security, backups, and Spectrum-enabled S3 integration.

Discover Amazon Elastic MapReduce (EMR) for scalable, fully managed big data analytics on AWS, with seamless integration to S3, DynamoDB, and Hive-based tools.

Explore Amazon Kinesis for real-time processing and analysis of streaming data, integrating with Lambda and other AWS services to power dashboards, alerts, and dynamic insights.

Launch a virtual machine in the AWS dashboard, select an operating system and instance type, configure VPC, storage, and security rules, then monitor and manage the instance.

Learn to build and deploy a web app on AWS using Elastic Beanstalk, configure environments, upload code, connect storage and databases, and monitor performance with logs and alarms.

Build and launch a virtual server by selecting Mumbai, Windows, and WordPress app, then name the instance and create it on the dashboard with plans starting at $5 per month.

connect an IoT device from the dashboard by downloading the connection, configuring platform options and application details, then use it with a Raspberry Pi to access the cloud.

Start a development project from the dashboard, deploy web apps using Amazon EC2, and manage code with templates, repositories, pull requests, and IAM-based access.

Register a domain with the AWS Route 53 dashboard, check availability, and choose a top-level domain like .uk for about $9; then manage DNS and transfers from the same dashboard.

Deploy a serverless microservice on AWS by creating Lambda functions, choosing blueprints or from scratch, setting triggers, and deploying with cloud formation and logs.

Create backend for your mobile app on aws, configuring a project and platform while enabling cognito authentication, dynamo db, lambda, lex, analytics, and sign-in options like email, google, and facebook.

Create and configure a virtual private cloud on the amazon cloud, adding public and private subnets, internet gateways, and a customer gateway VPN connection across multiple regions.

Learn cost management and optimization in AWS cloud by using cost explorer, budgets, and cost allocation tags to monitor spending, set alerts, and generate reports.

Discover Amazon Deep Composer, a machine learning framework that creates and edits music from scratch using pre-trained models and generative ai, via keyboard, virtual console, or input, then publish.

Learn to compose in music studio by creating or importing a track, editing notes, and using machine learning and generative artificial intelligence to shape melodies, including jazz and pop.

Learn how to use GANs to generate additional instruments from a single input track in Deep Composer, compare GAN with RC and Transformers, and create multi-instrument arrangements across styles.