AI EngineeringBy Priya Raman
Building AI Apps with LLMs
From first API call to a feature you can ship: prompting, structured output, tool calling, streaming, and cost control.
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Explore practical courses designed to help you build durable, real-world skills.
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Web DevelopmentBy Mira Kovac
Next.js App Router in Depth
Learn the App Router the way it actually works: routing and layouts, the server/client boundary, caching, and server actions.
DataBy Tomas Berg
Python for Data Work
A practical on-ramp to data work in Python: the language basics you need, pandas, plotting, and reproducible workflows.
LanguagesBy Daniel Okafor
TypeScript for Application Developers
Go past annotations. Structural typing, narrowing, generics, and the type-level tools that make invalid states impossible.
Backend & InfrastructureBy Alina Costa
DevOps with Docker and Kubernetes
Containerise an application, run it on Kubernetes, ship it through a pipeline, and operate it once it is live.
DataBy Daniel Okafor
PostgreSQL for Developers
SQL you will actually write, schemas that hold up, indexes that get used, and the operational basics behind them.
SecurityBy Alina Costa
Practical Web Security
The vulnerabilities that actually show up in web applications, how they are exploited, and how to close them for good.
Web DevelopmentBy Mira Kovac
React Performance Engineering
Measure before you optimise. Profiling, render behaviour, concurrent features, and shipping less JavaScript.
AI EngineeringBy Priya Raman
Retrieval-Augmented Generation from Scratch
Build a RAG system that actually retrieves the right thing: embeddings, chunking, hybrid search, reranking, and grounded answers.
Backend & InfrastructureBy Tomas Berg
System Design Foundations
The building blocks of scalable systems — load balancing, caching, queues, partitioning, and the reliability work around them.