Use AI

Use AI is about applying AI tools in your own work: writing, research, analysis and everyday workflows. This track lists practical courses on doing that and explains the core concepts behind them in plain English. Courses on building AI systems are on Develop AI.

Featured courses

These are our picks: practical courses to begin with.

AI Foundations

OpenAI Academy

FreeBeginner

AI Fluency: Framework & Foundations

Anthropic

FreeBeginner

Essentials of Prompt Engineering

AWS Skill Builder

FreeBeginner

Generative AI Leader Certification

Google Skills

Beginner

Introduction to AI for Work

DataCamp

PaidBeginner

Introduction to Large Language Models

IBM SkillsBuild

FreeBeginner

Browse Use AI by area

Each area covers one part of the track: a subject, a skill, or a kind of work. To browse the whole track instead, open the first card and filter the list yourself.

All Use AI courses

Browse the whole Use AI track in the course catalog, then narrow by cost, level or provider.

AI Assistants

Get the most from a specific AI assistant — its features, tips, and real-world use.

AI Fluency

Build all-around, practical AI skills — mostly tool-agnostic and beginner-friendly.

AI for Your Profession or Role

Find courses built for one profession or role at a time, from accountants to executives.

AI Strategy & Adoption

Decide where AI fits, make the business case, and lead the rollout.

Cloud AI Services

Add AI capability with managed cloud services — speech, vision, language, and more.

Prompt Engineering

Get better results from AI — the practical skill of prompting well, no coding needed.

Responsible AI & Governance

Use and oversee AI safely — ethics, risk, security, and governance for professionals.

Workplace Automation

Automate repetitive work with AI agents and low-code tools — for business users.

Key concepts

The foundational terms these courses build on — start here if you want a quick, plain-English definition first.

Adversarial Attack Agentic AI AI Agent AI Assistant AI Coding Assistant AI Copilot AI Ethics AI Governance AI Memory AI Safety Anomaly Detection Artificial General Intelligence (AGI)Artificial Intelligence (AI)Autonomous Agent Bias in AI Chain-of-Thought Prompting Chatbot ChatGPT Classification Claude Clustering Code Generation Computer Vision (CV)Conversational AI Dataset Deep Learning Diffusion Model Dimensionality Reduction Explainable AI (XAI)Fairness in AI Feature Engineering Few-Shot Learning Fine-Tuning Foundation Model Gemini Generative AI Generative Pre-trained Transformer (GPT)Grounding Guardrails Hallucination Human in the Loop Large Language Model (LLM)Long Short-Term Memory (LSTM)Machine Learning Machine Translation MLOps (Machine Learning Operations)Model Deployment Model Monitoring Multi-Agent System Multimodal AI Named Entity Recognition (NER)Natural Language Generation (NLG)Natural Language Processing (NLP)Natural Language Understanding (NLU)Neural Network Object Detection Optical Character Recognition (OCR)Orchestration Prompt Prompt Engineering Prompt Injection Recommendation System Red Teaming Regression Reinforcement Learning from Human Feedback (RLHF)Responsible AI Retrieval-Augmented Generation (RAG)Sentiment Analysis Speech Recognition Speech-to-Text (STT)Supervised Learning Text-to-Speech (TTS)Time-Series Forecasting Tokenization Tool Use Transformer Transparency (in AI)Unsupervised Learning Vector Database Voice AI Workflow Automation Zero-Shot Learning

Browse the full AI glossary