Complete AWS Cloud Practitioner Certification CLF-C01

Explore the fundamentals of Amazon Web Services, its compute, database, analytics, and mobile tools, and see how to deploy diverse apps from web to ERP using practical demonstrations.

Create your own AWS account by entering email, password, and contact details, choose individual or organization, verify via OTP, complete identity checks, and access your AWS dashboard.

Launch a virtual machine in AWS by selecting an operating system, choosing optimized instance types, configuring VPC, storage, security groups, and key pairs, then monitor with CloudWatch.

Register and manage domains on the AWS dashboard, check domain availability for top-level domains, configure DNS and traffic policies, and transfer or manage domain ownership.

Create a backend for a mobile app using AWS Mobile Hub, adding authentication with Amazon Cognito, storage, NoSQL DynamoDB, Lex for chat, and API and Lambda integration for analytics-ready backend.

Connect an IoT device via the dashboard by selecting platform and SDK language, create a thing, download the connection kit, and install it on a Raspberry Pi to access cloud.

Create a virtual server from the dashboard by selecting Windows, choosing a zone and language, assigning a default app like WordPress, and selecting an instance plan with a minimum price.

Start development projects directly from the Lewis dashboard, create and deploy apps on AWS using templates, frameworks, and services, while managing teams, code, and project settings.

Deploy a serverless microservice using AWS Lambda, creating functions from scratch or blueprints with Python runtime, wiring S3 storage, and adding API Gateway triggers for testing and CloudWatch logs.

Build and deploy a web application on AWS using Elastic Beanstalk with Docker or multi-container environments. Configure auto scaling, load balancing, S3 storage, and monitor health and logs.

Explore Amazon EC2, offering scalable virtual servers in the AWS cloud with pay-as-you-go pricing, auto scaling, elastic load balancing, CDN, and secure, region-based deployment.

Explore how to launch an EC2 instance on AWS, selecting an OS and instance type, configuring security groups, VPC, and storage, and understanding EC2’s role alongside managed services like DynamoDB.

Explore Amazon virtual private cloud, a logically isolated section of the AWS cloud that connects on-premise networks via VPN, controls subnets, IP addresses, routing, and security groups.

Learn how elastic container service runs docker containers on the AWS cloud with API control and private image support. Explore flexible scheduling, portability, and secure, high-performance deployment.

Explore how AWS Beanstalk orchestrates deployment, scaling, and management of applications with Docker and pre-configured environments, enabling simple code deployment and integrated load balancing.

Learn to create, deploy, and manage applications with AWS Elastic Beanstalk, choose platforms like Docker, Java, or Python, upload code or use samples, and monitor health and logs.

Explore AWS Lambda, a serverless, event-driven function as a service that runs code in response to triggers, scales automatically, and integrates with API Gateway, S3, and DynamoDB.

Explore AWS Lightsail, a beginner-friendly cloud service offering bundled computing power and memory with SSD storage, DNS management via Route 53, static IP, and scalable virtual private servers.

Explore how Amazon EMR enables managed big data analytics by running Hadoop, MapReduce, Hive, and Spark on scalable clusters with S3, DynamoDB, and Kinesis integration.

Explore Amazon Kinesis for real-time processing of streaming data to power analytics, dashboards, and alerts, with integration to S3, Redshift, Lambda, and EMR across web, mobile, and gaming.

Learn to create and configure an Amazon ECS cluster using the AWS console, including naming the cluster, configuring subnets and IAM roles, and preparing for cloud migrations.

Create an extension for Amazon Elastic Container Service (ECS) and define container definitions, port mappings, images, resource limits, logging, and load balancing for scalable deployments.

Learn to configure an AWS Batch compute environment, create job queues and definitions, submit and manage batch jobs, and handle environment variables under a pay-as-you-go model.

Explore AWS database services—DynamoDB, RDS, ElastiCache, and Redshift—and understand self-managed versus managed models, and how managed services handle hardware, backups, and failover.

Explore Amazon DynamoDB, a fast, scalable, fully managed non-relational document database with DynamoDB streams, integrating with AWS Lambda and API Gateway for malware threat intel workflows and real-time notifications.

Create a DynamoDB table named inventory manager by defining a partition key as the primary key and choosing on-demand or provisioned capacity with encryption.

Explore ElastiCache, an in-memory cache that speeds data access and boosts performance by caching credentials and hashes between browser and storage, with integration to DynamoDB, Lambda, API Gateway, and S3.

Explore creating an ElastiCache cluster, configuring node type, subnet groups, VPC, availability zones, backup retention, maintenance, and notifications via the management console.

Explore AWS RDS, a managed relational database service with options like Aurora and other databases, offering fast, predictable performance, automated backups, read replicas, IAM authentication, and pay-as-you-go pricing.

Create an Amazon RDS database instance by selecting an engine (Aurora, MySQL, Oracle, SQL Server) and configuring credentials, port, network security, backups, and monitoring with CloudWatch.

Explore Amazon Redshift, a columnar relational data warehouse for historical data, enabling massively parallel queries and easy integration with business intelligence tools.

Create and configure an Amazon Redshift cluster as a managed data warehouse, including node types, master user, security, backups, and integration with Redshift Spectrum to query S3 data.

Learn to create or restore an AWS RDS database from an S3 bucket, selecting MySQL or Aurora, configuring IAM roles and VPC settings, backups, auto scaling, and performance insights.

Explore creating a relational database with AWS RDS engines, including Aurora, MySQL, PostgreSQL, Oracle, and SQL Server. Learn provisioning options, security, VPC connectivity, and production vs dev templates.

Monitor CPU utilization, connections, and memory with performance insights to optimize AWS cloud databases. Access connection details and execute SQL queries via query editor or CLI for Aurora PostgreSQL.

Explore database actions, activity streams, query editor, and monitoring in Amazon RDS, including readers, replicas, clones, region changes, and point-in-time restore with auditing logs.

Explore AWS S3, the scalable simple storage service for object storage that lets you store virtually any data in a bucket, access it anywhere, and host static websites.

Learn about Amazon EBS elastic block storage, a scalable, persistent, encrypted storage for EC2 with magnetic and provisioned IOPS volumes, automatic replication, snapshots to S3, and secure backups.

Discover elastic file system (efs) on aws, a distributed, scalable file system for ec2 workloads. Access files via api, enjoy backups across availability zones and a file system dashboard.

Explore how AWS Storage Gateway bridges on-premises environments with cloud storage, enabling data transfer to Amazon S3 and Glacier via file, volume, and block storage options.

Discover how Amazon Glacier provides secure, durable archival storage for infrequently accessed data, with low costs and integration through Storage Gateway and S3.

Learn how AWS mobile hub unifies services like Cognito authentication, Pinpoint analytics and push notifications, device farm testing, Lambda, S3, and Lex to build, test, and deploy mobile apps.

Create a mobile hub app by selecting a project, adding backend features and authentication, and deploying an Android app with cloud hosting, database, and a conversational bot using Alexa.

AppSync enables real-time and offline data synchronization for mobile and web apps, using a GraphQL schema to query and sync data across sources like DynamoDB and Lambda, with conflict resolution.

Explore creating an AWS AppSync GraphQL API, connect data sources, and enable real-time updates with offline support, using api key or cognito authentication, and quick setup in 3–5 minutes.

Explore device farm for AWS cloud practitioner: automate and remotely test thousands of real devices, view logs and performance data, reproduce issues, and improve app quality before shipping.

Learn to create and manage a device farm project, run automated or remote tests on Android and iOS devices, utilize a thousand free minutes, and scale with device pools.

Explore how Amazon Pinpoint enables mobile analytics to engage users, measure engagement, segment audiences, and deliver targeted push notifications and messages across channels.

Learn to use Cloud9, a cloud-based IDE for writing, running, and debugging code, enabling collaboration, no local installs, and rapid deployment to AWS services.

Create an Amazon Cloud9 environment from the dashboard, name it, select an instance type, and enable auto-shutdown; then write, run, and debug code in the cloud-based environment.

Explore how AWS CodeBuild and Cloud9 enable you to write, build, test, and deploy code with a fully managed, pay-as-you-go pipeline, scalable and customizable.

Learn practical CodeBuild setup by creating and configuring a CodeBuild project, choosing source provider, repository, environment, compute type, memory, artifacts, and networking, while monitoring provisioning and ARN details.

Learn how CodeCommit provides secure, scalable private repositories for team collaboration, enabling git-based operations, encryption, and seamless integration with AWS services.

Learn to use AWS CodeCommit to create secure repositories, commit and manage files and branches, and integrate with CodePipeline, SNS notifications, and Lambda for team release workflows.

Explore CodeDeploy as a fully managed tool to automate application deployments across Lambda and other AWS services, enabling automated, low-downtime releases with monitoring, notifications, and scalable pipelines.

CodePipeline automates the build, test, and release steps in a fast, reliable continuous delivery pipeline. It defines source, staging, and production stages and integrates with CloudFormation, CodeDeploy, and Lambda.

Create and configure a CodePipeline on amazon cloud to automate the full release workflow, linking a source repository, setting authentication, IAM roles, policies, and a CloudFormation deployment step.

Explore CodeStar, Amazon cloud’s developer tool for developing, building, and deploying applications, unifying your development activities and pipeline in a secure, one-place dashboard.

Explore practical use of AWS CodeStar to create team projects, set up a CodeCommit repository and a pipeline, and integrate EC2 and project templates for secure collaboration.

Explore how the migration hub unifies cloud migrations across platforms and partner tools. It provides centralized discovery, tracking, and metrics for migrations across portfolios.

Explore how to use the aws migration hub to discover, connect, and migrate workloads from on-premises or other clouds to the cloud, monitor progress, and optimize data transfer.

Learn how Amazon Snowball enables fast, secure data migration from on-premises storage to AWS cloud, including petabyte-scale transfers to S3 or Glacier, with tamper-resistant hardware and encrypted transfers.

Learn to move large data to the AWS cloud using the amazon snowball device, leveraging fast on-site storage, encryption, and secure transfer to S3 with ordering and ingestion workflows.