Highly available web application
Deliverable: A two-tier application deployed across multiple availability zones behind a load balancer with Auto Scaling, plus a written test showing it survives an instance being terminated.
Course
AWS taught by building and breaking infrastructure rather than by memorising service names, ending with an architecture you have deployed, secured, costed and can defend.
9 modules · 5 months
Deliverable: A two-tier application deployed across multiple availability zones behind a load balancer with Auto Scaling, plus a written test showing it survives an instance being terminated.
Deliverable: A VPC with public and private subnets, NAT, security groups and least-privilege IAM roles, documented with a network diagram and a justification for each routing decision.
Deliverable: An S3 upload triggering a Lambda that processes the file and writes results to DynamoDB, with error handling, a dead-letter queue and CloudWatch alarms.
Deliverable: A written review of your own project architecture against the Well-Architected pillars, with a monthly cost estimate and three specific changes that would reduce it.
Every student gets placement assistance — that is what 100% placement assistance means. It is support for all, not a job for all. We do not promise a specific salary, a specific number of interviews, or placement at any named company, and you should be wary of anyone who does.
Most AWS training is a guided tour. Click here, name this bucket, observe that it worked. Learners finish able to follow instructions and unable to diagnose anything, which is a problem because diagnosis is most of a cloud engineer’s job.
So a good part of this course is deliberately spent on failure. Your instance cannot reach the internet — work out whether it is the route table, the security group, the network ACL or the missing NAT gateway. Your Lambda cannot read the bucket — read the IAM policy and predict what it actually allows before changing anything.
That methodical narrowing is the skill. It is also exactly what a cloud interview tests, because it cannot be memorised.
Almost no beginner course covers billing seriously, and it is one of the first things a real employer cares about.
You will set billing alarms in week one, estimate the monthly cost of an architecture before building it, and finish with a review that identifies three specific reductions in your own design. Engineers who can say “this change saves forty percent of the compute line” get listened to.
The Solutions Architect Associate is worth having. It gets you through automated screening and it structures your learning usefully.
It is not a job qualification on its own, and the market has enough certificate-holders without hands-on experience that interviewers now probe hard for the difference. The four projects in this course exist so that when someone asks what you have actually built, you have a specific answer with decisions you can defend.
Questions
It helps considerably with automated screening, because many job descriptions list it and recruiters filter on it. It is not sufficient on its own. Interviewers ask you to design something and explain the trade-offs, and a certificate without hands-on building does not survive that conversation. This course prepares you for both.
Some, if you are careless — which is itself part of the lesson. We teach billing alarms and free-tier boundaries in the first module, and every project specifies what to shut down afterwards. Learning to watch your own bill is a genuine job skill, since cost control is a real part of cloud engineering work.
AWS has the largest market share and the widest range of job postings in India, which makes it the safest first choice. The underlying concepts — networking, identity, storage tiers, scaling — transfer almost entirely, so a second provider takes weeks rather than months once you know the first properly.
It is a substantial part of the foundation, not the whole of it. DevOps also needs CI/CD pipelines, containers and orchestration, and configuration management. This course covers the cloud infrastructure layer well and touches infrastructure as code; a dedicated DevOps track builds the pipeline and automation side on top.
Enough to move around a filesystem, edit a file and read a log. If you can do those, you will be fine — the first compute module covers connecting to instances and the commands you need. Complete beginners on the command line usually find our Python or full stack course a gentler starting point.
Three details is all we need. A course advisor will call you back.
Python taught as a working tool rather than a syntax tour — you finish able to read unfamiliar code, automate real tasks, call APIs and write tests that catch your own mistakes.
Front end, back end, databases and deployment taught as one connected system, ending with applications you have shipped to a public URL and can walk an interviewer through.
Networking and Linux foundations, then web application security, SOC monitoring and incident response — practised exclusively in isolated labs, with authorisation treated as a hard rule.
Next step
Tell us what you want to learn and we will help you pick the right course, batch and mode.