Courses

Hands-on Cloud for Freshers

Eight hands-on sessions on AWS for freshers: a safe account, permissions, storage, servers, networks, a database and serverless code, ending in a small app you deploy and then tear down.

Read every session in order. Each one ends with a project you build in your own AWS account and then delete, and a quiz to check yourself.

1. 1. A safe first AWS account

   Create an account on the Free account plan, understand credits and the six-month window, lock down the root user with MFA, create an everyday admin identity, and set a budget alert before building anything.

2. 2. Who can do what: identities and permissions

   Users, groups, roles and policies; read a policy document, write a least-privilege one, and install and sign in to the AWS CLI with short-lived credentials.

3. 3. Storage you can see: S3 and a static website

   Create a bucket, upload objects, understand Block Public Access, and publish a static site; then empty and delete the bucket.

4. 4. Your first server: EC2

   Launch an instance, choose an image and type, connect with EC2 Instance Connect, serve a web page through a security group rule, then stop and terminate it.

5. 5. Your own network: VPC basics

   Build a VPC with a public subnet, route table and internet gateway; reason about security groups versus network ACLs; launch into it and tear it down in the right order.

6. 6. Data that outlives the server: DynamoDB

   Design a simple table, write and read items from the console and the CLI, and grant an application role access to only that table.

7. 7. Code without servers: Lambda

   Write a Lambda function, give it a function URL, read its logs in CloudWatch, and connect it to the DynamoDB table with an execution role.

8. 8. Ship it, watch it, tear it down

   Deploy a small web app end to end from the earlier pieces, watch it with CloudWatch metrics and alarms, then remove every resource and confirm on the billing pages that nothing is left running.

After this course

FreeBeginner

Getting Started with AI

8 sessions · self-paced

Eight sessions on how language models really behave: tokens and sampling, cost and latency, prompts and context, structured output, choosing a provider, and using AI responsibly.

See the course →

TechEazy Consulting training material — not affiliated with or endorsed by Amazon Web Services (AWS).