AI for Developers: A Practical First Month with LLM APIs
by Priya Raman
From first model to production inference, without the hand-waving.
Practical machine-learning and applied-AI courses for developers who want working systems rather than lecture notes. You learn the maths only where it changes a decision, then build classifiers, recommenders, retrieval pipelines and agents you can actually deploy. Every project runs on a laptop — no cluster required.
Showing 1–3 of 3 courses
Your first month with model APIs: keys, streaming, retries, cost and one shipped feature.
Understand embeddings well enough to build search that finds meaning, not just keywords.
The maths-light foundation that makes model behaviour, metrics and failures make sense.
Other shelves developers move on to next.