Language AI courses and concepts
Language AI is the branch of artificial intelligence that works with human language — reading it, writing it, translating it, and converting between speech and text. Language was the hardest thing to hand to a computer, because meaning depends on context that is nowhere in the words themselves. The modern approach sidesteps that problem rather than solving it: turn text into numbers, learn which pieces tend to follow which — which is why these systems became fluent well before they became accurate. Learning the subject means getting comfortable with that conversion first, and then with the particular jobs built on top of it.
The vocabulary of language AI
Two vintages of terminology are mixed together here. One set names the jobs — pulling names out of text, judging sentiment, translating, recognizing speech — and predates the current generation of models by decades. The other describes the machinery underneath, and it is the more useful set to own: token, tokenization and word embedding explain things you will meet directly, from the limit on how much text you can paste in to why usage is counted in pieces rather than words.
Courses on language AI
The question that actually divides these is whether you have a specific language job or a general-purpose model. Pulling fields out of scanned documents, turning recordings into text, giving a search box the ability to answer a plain question — each of those has purpose-built services and courses that teach one of them end to end; working with a general model is a different skill, closer to writing instructions than to configuring a service.
Learn AI — what language models are doing
Use AI — language services and everyday tools
AI in Legal: From Research to Results
IBM SkillsBuild
Amazon Kendra Getting Started
AWS Skill Builder
Amazon Lex Getting Started
AWS Skill Builder
Amazon Polly Getting Started
AWS Skill Builder
Amazon Textract Getting Started
AWS Skill Builder
Amazon Transcribe Getting Started
AWS Skill Builder
Build Your First Chatbot
IBM SkillsBuild
Getting Started with Amazon Comprehend
AWS Skill Builder
Intermediate ChatGPT
DataCamp
Introduction to Large Language Models
IBM SkillsBuild
Develop AI — build on and around the models
Build a Deep Research Agent
NVIDIA Deep Learning Institute
Building Agentic AI Applications with LLMs
NVIDIA Deep Learning Institute
Building Language Models on AWS
AWS Skill Builder
Building RAG Agents with LLMs
NVIDIA Deep Learning Institute
Develop natural language solutions in Azure
Microsoft Learn
Google DeepMind: AI Research Foundations
Google Skills
LLM University
Cohere
Rapid Application Development with Large Language Models (LLMs)
NVIDIA Deep Learning Institute
Retrieval Augmented Generation (RAG) with LangChain
DataCamp
Working with the OpenAI API
DataCamp
Language is where most people meet AI first, which makes it a good place to widen out from. Learn AI covers the machine learning underneath, so that a language model's behavior stops being surprising; Use AI is the wider set of things worth doing with these tools in a job that is not about language at all; Develop AI goes into the engineering — the models, the interfaces to them, and the systems that feed them the right context.
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