[NEW] AWS Certified Cloud Practitioner 2026 (CLF-C02)

Create a new AWS account and take advantage of the six-month free tier with $200 in credits (100 default, 100 via activities) while learning EC2 quotas and vCPU limits.

Set up a monthly AWS cost budget to receive email alerts when spending exceeds 5 USD. Sign in with the root user and monitor the billing dashboard.

Create an IAM user to replace the root account for daily activities, log in to the AWS management console with that user, and grant administrator access via the IAM policy.

Buy a public domain name and point DNS queries to Amazon Route 53, creating a public hosted zone and updating name servers so the domain resolves to your EC2 IP.

Log in to the aws management console as a root or iam user, switch regions, locate services like ec2 and s3 with the search box.

Highlight the five main cloud characteristics: on-demand self-service, broad network access, multi-tenancy with resource pooling, rapid elasticity and scalability, and measured usage for billing.

Explore private, public, and hybrid cloud deployments, including private cloud with OpenStack, public providers such as AWS, GCP, and Azure, and hybrid setups that blend on-premises resources with cloud services.

explains how cloud service models differ by provider responsibility, from on-premise to IaaS, PaaS, and SaaS, and outlines the hardware to application stack including hypervisor, VMs, OS, runtimes, and databases.

Define cloud computing as on-demand IT resources over the internet with pay-as-you-go pricing, and analyze its five characteristics, advantages, deployment models, and service models (IaaS, PaaS, SaaS).

Explore AWS IAM, the identity and access management service that assigns permissions across compute, storage, networking, and security; learn how to create users for different roles.

Create an IAM user named Chetan with administrator access from AWS managed policies, set a custom password, and sign in via the generated IAM link.

Explore how AWS APIs expose services over HTTP REST, how the SDK wraps them to handle signing, and how IAM credentials enable CLI, the console, and applications to access AWS.

Master AWS IAM concepts by configuring root versus IAM users, groups, and policies, using roles for temporary access, and employing CLI, SDKs, and Cloud Shell for secure programmatic access.

Explore AWS compute options, starting with EC2 for virtual machines, then containers via ECS and EKS, with Fargate as a serverless data plane, and Lambda for event-driven code.

Explore Amazon EC2, elastic compute cloud virtual machines in the AWS cloud, covering regions, availability zones, OS and configuration choices, and AWS shared responsibility.

Learn core EC2 configuration options for launching instances, including instance type, storage, AMI, VPC, security groups, SSH key pair, and purchasing options with IAM role.

Launch a Linux EC2 instance in the Mumbai region with Amazon Linux AMI and t2 micro, using an SSH key pair and a security group, then install and start httpd.

Explore EC2 storage options, including persistent elastic block storage (EBS) and temporary instance store, and learn how each impacts data persistence, sizing, and cost.

Explore Amazon machine images, the base ami for EC2, and learn to create a new ami by installing packages, attaching EBS volumes, and capturing the state.

Launch an EC2 instance in the Mumbai region with Amazon Linux, using a user data script to install httpd, enable on reboot, create index.html, test the web server, then terminate.

Explore how IAM roles on EC2 grant access to services like S3 and DynamoDB with temporary credentials, avoiding hardcoded keys, and how IAM policies enable on-the-fly permission changes.

Analyze EC2 pricing options, including on-demand, spot, savings plan, and reserved instances, and how workload and usage patterns influence cost, with per-second billing for Linux, Windows, and Ubuntu Pro instances.

Learn on-demand EC2 pricing for flexible workloads. Use spot pricing for up to 90% discounts on fault-tolerant tasks and apply strategies to optimize big data, CI/CD, and batch processing.

Learn to request spot instances in the EC2 console, set launch parameters, target capacity, and price thresholds, then rely on AWS to match capacity by your requirements for cost savings.

Understand EC2 tenancy options, from default shared tenancy to dedicated hosts and dedicated instances, and compare pricing across on-demand, spot, reserved, and savings plans.

Explore AWS compute options by examining containers with ECS and EKS, and serverless with AWS Lambda, then establish container basics before diving into these services.

Amazon ECS runs docker containers at scale with compute options, EC2 and Fargate, provisioning resources per ECS task. It integrates with application load balancer, CloudWatch, CodeBuild, CodeDeploy, and API gateway.

Explore the Amazon Elastic Container Service architecture, from developers pushing container images to Amazon ECR, to admins deploying tasks on EC2 or Fargate, with ECS agents and load balancers.

Explore AWS Lambda, a stateless compute service that runs code in response to events and scales automatically. Understand runtimes, event sources, and use cases like API backends and S3 workflows.

Explore aws compute services like ec2, containers, ecs, eks, ecr, and lambda, and apply a decision tree to choose the right fit for workloads.

Set up an application load balancer with backend EC2 instances across two availability zones, create a target group and listener, and route traffic in round-robin fashion to the web servers.

Learn how auto scaling groups optimize costs by scaling EC2 capacity out and in within min and max limits, coordinating with Elastic Load Balancer and CloudWatch policies.