AI Fundamentals

71 courses

Start your AI journey with a solid foundation. These beginner-level courses cover the fundamental concepts of artificial intelligence, machine learning, neural networks, and data science. Build the core knowledge that every AI practitioner needs, regardless of their eventual specialization.

fast.ai

Free

beginner

Practical Deep Learning for Coders

fast.ai

Introduction to Deep Learning

MIT

Machine Learning Crash Course

Google

CS50's Introduction to Artificial Intelligence with Python

Harvard / edX

Intro to Machine Learning

Kaggle

Intro to Deep Learning

Kaggle

Intro to Machine Learning with PyTorch

Udacity

Machine Learning Specialization

Coursera

Azure AI Fundamentals

Microsoft Learn

4.5(6,200)

6 hoursbeginner

Free

University of Helsinki

Free

beginner

Elements of AI

University of Helsinki

AI For Everyone

Coursera

IBM Applied AI Professional Certificate

Coursera

AI Foundations for Everyone Specialization

Coursera

Mathematics for Machine Learning and Data Science Specialization

Coursera

Python Basics for Data Science

edX

Deep Learning Fundamentals with Keras

edX

Machine Learning A-Z: AI, Python & R

Udemy

Python for Data Science and Machine Learning Bootcamp

Udemy

Stable Diffusion: Complete Guide to AI Image Generation

Udemy

The Complete ChatGPT Guide: Learn Midjourney, ChatGPT & More

Udemy

Complete Machine Learning & Data Science Bootcamp 2024

Udemy

Pair Programming with a Large Language Model

DeepLearning.AI

Introduction to Generative AI Learning Path

Google Cloud

Intro to TensorFlow for Deep Learning

Google

Google AI Essentials

Google

Google's Python Class

Google

Intro to AI Ethics

Kaggle

Machine Learning for Beginners

Microsoft

AI for Beginners

Microsoft

Generative AI for Beginners

Microsoft

IBM AI Developer Professional Certificate

Coursera

Machine Learning with Python

Coursera

Introduction to Deep Learning & Neural Networks with Keras

Coursera

AI Programming with Python Nanodegree

Udacity

Data Scientist with Python Career Track

DataCamp

Working with the OpenAI API

DataCamp

Artificial Intelligence Foundations: Machine Learning

LinkedIn Learning

Machine Learning with Python: Foundations

LinkedIn Learning

Introduction to Generative AI

LinkedIn Learning

Deep Learning: Getting Started

LinkedIn Learning

Prompt Engineering Specialization

Coursera

Open Source Models with Hugging Face

DeepLearning.AI

Google Cloud: Introduction to AI and Machine Learning

edX

Prompt Engineering: How to Talk to the AIs

LinkedIn Learning

Ethics in the Age of Generative AI

LinkedIn Learning

IBM Data Science Professional Certificate

Coursera

Generative AI: Introduction and Applications

Coursera

Generative AI: Prompt Engineering Basics

Coursera

Generative AI Concepts

DataCamp

Responsible AI Principles and Practices

Microsoft Learn

Microsoft Copilot Foundations

Microsoft Learn

How Google Does Machine Learning

Coursera

Introduction to TensorFlow for AI, ML, and DL

Coursera

The Data Science Course: Complete Data Science Bootcamp

Udemy

Data Science Essentials

edX

Prompt Engineering with Llama 2 & 3

DeepLearning.AI

Artificial Intelligence for Business Leaders

LinkedIn Learning

Responsible AI: Applying AI Principles with Google Cloud

Google Cloud

AI Product Management Specialization

Coursera

Carbon Aware Computing for GenAI Developers

DeepLearning.AI

Introduction to Generative AI Studio

Google Cloud

OpenAI Python API Bootcamp: Build AI Apps Fast

Udemy

4.6(5,200)

10 hoursbeginner

$12.99

University of Helsinki

Free

beginner

Ethics of AI

University of Helsinki

Intro to Programming

Kaggle

Azure OpenAI Service Fundamentals

Microsoft Learn

TensorFlow: Essential Training

LinkedIn Learning

Introduction to Statistics in Python

DataCamp

Building AI Applications with Watson APIs

Coursera

AI Ethics

Coursera

Introduction to Gemini API

Google Cloud

AWS Machine Learning Foundations

Udacity

4.3(2,200)

2 monthsbeginner

Free

Frequently Asked Questions

What are the fundamental AI concepts I should learn first?

Start with understanding what AI and machine learning are, how supervised and unsupervised learning work, what neural networks do, and how data drives AI models. These fundamentals apply to every AI specialization.

How long does it take to learn AI fundamentals?

Most learners can grasp the core AI fundamentals in four to eight weeks of part-time study. The goal is to build a conceptual foundation that you can then deepen through more specialized courses and hands-on projects.

Do I need math for AI fundamentals?

Basic AI fundamentals courses minimize math requirements. As you advance, familiarity with linear algebra, calculus, and statistics becomes more important. Many courses introduce the necessary math concepts as you go.

AI Fundamentals

Practical Deep Learning for Coders

Introduction to Deep Learning

Machine Learning Crash Course

CS50's Introduction to Artificial Intelligence with Python

Intro to Machine Learning

Intro to Deep Learning

Intro to Machine Learning with PyTorch

Machine Learning Specialization

Azure AI Fundamentals

Elements of AI

AI For Everyone

IBM Applied AI Professional Certificate

AI Foundations for Everyone Specialization

Mathematics for Machine Learning and Data Science Specialization

Python Basics for Data Science

Deep Learning Fundamentals with Keras

Machine Learning A-Z: AI, Python & R

Python for Data Science and Machine Learning Bootcamp

Stable Diffusion: Complete Guide to AI Image Generation

The Complete ChatGPT Guide: Learn Midjourney, ChatGPT & More

Complete Machine Learning & Data Science Bootcamp 2024

Pair Programming with a Large Language Model

Introduction to Generative AI Learning Path

Intro to TensorFlow for Deep Learning

Google AI Essentials

Google's Python Class

Intro to AI Ethics

Machine Learning for Beginners

AI for Beginners

Generative AI for Beginners

IBM AI Developer Professional Certificate

Machine Learning with Python

Introduction to Deep Learning & Neural Networks with Keras

AI Programming with Python Nanodegree

Data Scientist with Python Career Track

Working with the OpenAI API

Artificial Intelligence Foundations: Machine Learning

Machine Learning with Python: Foundations

Introduction to Generative AI

Deep Learning: Getting Started

Prompt Engineering Specialization

Open Source Models with Hugging Face

Google Cloud: Introduction to AI and Machine Learning

Prompt Engineering: How to Talk to the AIs

Ethics in the Age of Generative AI

IBM Data Science Professional Certificate

Generative AI: Introduction and Applications

Generative AI: Prompt Engineering Basics

Generative AI Concepts

Responsible AI Principles and Practices

Microsoft Copilot Foundations

How Google Does Machine Learning

Introduction to TensorFlow for AI, ML, and DL

The Data Science Course: Complete Data Science Bootcamp

Data Science Essentials

Prompt Engineering with Llama 2 & 3

Artificial Intelligence for Business Leaders

Responsible AI: Applying AI Principles with Google Cloud

AI Product Management Specialization

Carbon Aware Computing for GenAI Developers

Introduction to Generative AI Studio

OpenAI Python API Bootcamp: Build AI Apps Fast

Ethics of AI

Intro to Programming

Azure OpenAI Service Fundamentals

TensorFlow: Essential Training

Introduction to Statistics in Python

Building AI Applications with Watson APIs

AI Ethics

Introduction to Gemini API

AWS Machine Learning Foundations

Frequently Asked Questions

What are the fundamental AI concepts I should learn first?

How long does it take to learn AI fundamentals?

Do I need math for AI fundamentals?

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