Short, applied courses with a verifiable certificate. Search for a topic, or narrow by category, level, duration and price.
Write robust, idiomatic Go by treating errors as ordinary values you return, check, wrap and inspect. You will master fmt.Errorf with %w, errors.Is and errors.As, sentinel and custom error types, disciplined panic/recover, and the effective-Go style that reviewers expect.
Learn to put a real site on a real domain, securely and reliably. You will map how DNS resolves names to addresses, register and delegate a domain through Route 53, issue and validate TLS certificates with ACM, and place a health-checked Elastic Load Balancer in front of multiple instances so traffic is distributed and encrypted end to end.
Take a trained scikit-learn model out of a notebook and serve it to real users as a reliable HTTP prediction service. You will persist models with joblib, wrap them in Flask and FastAPI endpoints, validate inputs, choose between batch and real-time inference, and version, monitor and containerise the result with basic MLOps practice.
Take a working Node.js application from your laptop to a resilient production deployment. You will configure it with environment variables, keep it alive with PM2, scale it across CPU cores, containerise it with Docker, and ship it to a VPS or PaaS with logging, health checks and zero-downtime reloads.
Take a working web app from your laptop and host it end to end on a real Linux VPS — behind Nginx as a reverse proxy, kept alive by a process manager, reachable on your own domain over HTTPS. You will finish able to provision a server, deploy a Node or Python app, and run it in production with proper config and logs.
Add durable persistence to your Python programs using relational databases. You will master SQLite with the built-in sqlite3 module, write injection-safe parameterised queries, perform CRUD and transactions, connect to PostgreSQL, and model data with the SQLAlchemy ORM. This course supports preparation for the Python Institute PCPP certification.
Learn to design well-structured PostgreSQL tables: pick the right data type for every column, model relationships correctly, and enforce data quality with keys and constraints. You will finish able to translate a real-world requirement into a clean, normalised schema that keeps bad data out.
Master Python's four built-in collections — lists, tuples, sets and dictionaries — with methods, slicing, comprehensions, unpacking and set algebra. Learn which structure to reach for and why mutability matters, building the fluency the Python Institute PCAP exam expects.
Turn raw, messy data into clean, model-ready features using pandas and scikit-learn. You will clean and impute data, encode categoricals, scale numerics, handle outliers, engineer and select features, and assemble it all into a leak-free ColumnTransformer pipeline you can trust on unseen data.
Program confidently in Dart — the language behind Flutter. You will master variables and types, sound null safety, functions, collections, control flow, classes and async/await, so you can read and write real Dart code and use the Dart tooling with confidence.
Learn to customise WordPress with code the professional way — child themes that survive updates, actions and filters to change behaviour, properly enqueued assets, and a small custom plugin with a custom post type. You will walk away able to extend any WordPress site safely without ever editing core or parent-theme files.
Master Node.js core modules to read, write and process files and system resources with confidence. You will use fs, path, os, process and url, handle text and JSON safely, react to events with EventEmitter, and stream large files without exhausting memory.
