
AWS and Cloud Engineering
Practical guides to load balancing, scaling, deployment, and resilient AWS foundations.
Learning library
These hubs organize TechEazy's preserved guides without moving their bookmarked URLs. Start with the foundation you need, then follow the connected program pathway when it fits your goal.

Practical guides to load balancing, scaling, deployment, and resilient AWS foundations.

Build a sound Java foundation, then apply Spring Boot, dependency injection, MVC, and REST.

Learn repository, branch, pull-request, protection, and delivery workflows used by engineering teams.

Durable guidance for choosing core skills, presenting your work, and building credible career evidence.
5 free courses · no sign-in
Every session is public: open a course and start. Nothing to sign up for, nothing to pay.

8 sessions · self-paced · read online
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.

8 sessions · self-paced · read online
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.

8 sessions · self-paced · read online
Eight sessions on retrieval-augmented generation: embeddings and vector search, grounded answers with citations, why retrieval fails, evaluation suites and catching hallucinations.

11 sessions · self-paced · read online
Eleven sessions on agents that take real actions: tool calling, the Model Context Protocol, the agent loop, memory, access control, human approval and guardrails, ending in a capstone feature.

9 sessions · self-paced · read online
Nine sessions on running AI systems for real: where models run, reference architectures, scaling, cost, observability and audit, ending in a design you defend with decision records.