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Artificial Intelligence

Verified Artificial Intelligence Courses

Courses on machine learning, deep learning, and putting language models to work in everyday practice.

3 courses

How verification works

All artificial intelligence courses

Ordered by course title

  • Learn Prompting

    Artificial Intelligence

    Introduction to Prompt Engineering

    A short foundational course on writing instructions for large language models, covering what separates a good prompt from a vague one, how the underlying models behave, and techniques for decomposing complex problems. Later modules deal with the failure modes rather than the happy path: conflicting outputs, hallucination, bias, and the ethical questions that follow. Ten modules, self-paced, sold through a subscription that also covers the publisher's other courses.

    Price
    $21 / month · billed annually
    Level
    Beginner
    Format
    Self-paced

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    Not independently verified

  • DeepLearning.AI

    Artificial Intelligence

    Machine Learning Specialization

    A three-course programme covering supervised learning, neural networks and unsupervised methods, taught by Andrew Ng and offered jointly by DeepLearning.AI and Stanford Online. It works up from linear and logistic regression through decision trees and neural networks to clustering, recommender systems and reinforcement learning, with practical guidance on diagnosing models rather than only building them. Delivered on Coursera, where the material can be audited free and a certificate requires a paid subscription.

    Price
    $49 / month
    Level
    Beginner
    Format
    Self-paced

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    Not independently verified

  • fast.ai

    Artificial Intelligence

    Practical Deep Learning for Coders

    A free deep learning course that starts by training and deploying a working model in the first lesson and only then works backwards into the theory. It covers computer vision, natural language processing, tabular data with random forests, collaborative filtering and building a model from scratch, taught in PyTorch and the fastai library through Jupyter notebooks. It assumes about a year of coding experience, preferably Python, and no mathematics beyond school level. The edition published at the time of checking is labelled 2022.

    Price
    Free
    Level
    Intermediate
    Format
    Self-paced

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    Listed

    Not independently verified