The C++ Career Bootcamp: From Hello World to Shipping Native Apps
by Ana Petrova
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Programming, AI and prompt-engineering courses written by working engineers. Filter by language, level, price or rating — buy once, get an instant email access link, keep it for life.
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Showing 1–24 of 24 courses
The complete C++ career path: language, tooling, testing and three portfolio projects.
Build, secure, test and deploy a real HTTP API in C# without ceremony or boilerplate.
Server-side JavaScript done properly, from the module system to a deployed HTTP service.
Ship a typed, validated and documented Python API with async endpoints and real tests.
Learn Go the way backend teams use it: small surface, standard library, real concurrency.
Stop guessing at go.mod, vendoring and workspaces, and get the toolchain working for you.
Understand Git as a graph of commits and never fear a mistake in a repository again.
Write the tests that catch real bugs and delete the ones that only slow you down.
Write CMake you can maintain, with targets, presets and dependencies that just work.
Build, deploy and document six projects that prove you can do the job, not just the tutorial.
Pick, index and operate a vector store without turning your search into a science project.
Build a dataset, run a LoRA fine-tune, and prove it beats prompting for your narrow task.
Queues, caching, streaming, fallbacks and budgets: the architecture behind a reliable AI feature.
Twenty-four hours taking you from a first API call to a deployed, evaluated AI product.
Write joins, aggregates and filters you can defend, starting from a completely blank slate.
Indexes, transactions, JSONB and migrations, taught from the application developer seat.
Turn EXPLAIN output into a fix list, and make slow endpoints fast without guesswork.
Schema decisions that still hold up after two years of features nobody planned for.
Build a warehouse layer with tested transformations that analysts and executives both trust.
Containerise a real application, then run its entire stack locally with one Compose file.
Pipelines that run fast, cache correctly and fail for reasons you can actually read.
Deploy, scale and debug your own services on Kubernetes without becoming a full-time operator.
Describe cloud infrastructure in code, review it like code and roll it back like code.
Metrics, traces, alerts and postmortems: what it takes to own a service people depend on.