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AI Courses
These AI courses teach concepts like neural networks, Large Language Models (LLMs), and deep learning using Python. You’ll build intelligent models to process information, generate content, and solve real-world problems.
1M+ learners
Hands-on projects
No credit card required
4.8
Recommended Path for Beginners
Start your ai journey with these expert-curated learning paths.
Gen AI (Python)
Build Python skills, work with LLM APIs, and automate tasks to create practical AI-powered applications.
8 courses
3 projects 20.3k
Our learners work at
Explore All AI Courses
Introduction to Unsupervised Machine Learning in Python
Apply unsupervised machine learning techniques by building, evaluating, and interpreting k-means models to segment and explore unlabeled data.
6 hours
3.6k
Linear Algebra For Machine Learning
Build hands-on linear algebra skills for machine learning by working with vectors, matrices, and systems used in real ML models.
3 hours
8.6k
Linear Regression Modeling in Python
Model and interpret relationships between variables by constructing, evaluating, and applying linear regression for inference and prediction.
4 hours
3.5k
Gradient Descent Modeling in Python
Optimize machine learning models by implementing and applying gradient descent techniques to efficiently train and improve predictive performance.
3 hours
2.8k
Logistic Regression Modeling in Python
Classify and interpret categorical outcomes by constructing, evaluating, and applying logistic regression models for inference and prediction.
4 hours
2.8k
Decision Tree Modeling in Python
Apply decision trees and random forest models to solve classification and regression problems while producing interpretable, high-performing predictions.
6 hours
3.2k
Optimizing Machine Learning Models in Python
Improve machine learning model performance by applying optimization techniques such as cross-validation, regularization, and feature engineering in Python.
4 hours
2.8k
Introduction to Supervised Machine Learning in Python
Develop a supervised machine learning workflow for classification by training, evaluating, and tuning models with scikit-learn on real-world datasets.
8 hours
14.2k
Learn AI Courses by Building Projects
Apply your skills to real-world scenarios with these guided projects
Project
Developing a Dynamic AI Chatbot
For this project, you’ll become a developer at a tech company, using Python and the OpenAI API to create an engaging AI chatbot. You’ll gain skills in conversation management, persona creation, and token handling as you build a chatbot that adapts to different platforms.
11 Steps
Project
Free
Garden Simulator Text Based Game
For this project, you’ll step into the role of a Python game developer to create an interactive text-based “Garden Simulator” using object-oriented programming, error handling, and randomness.
11 Steps
Project
Build a Food Ordering App
For this project, you’ll become a restaurant owner building a Python food ordering app. You’ll use dictionaries, loops, and functions to create an interactive system for viewing menus, modifying carts, and placing orders.
12 Steps
Frequently Asked Questions
How do you choose the right AI course for your goals?
Pick an AI course based on what you want to achieve. If you want to use AI tools like prompt engineering, pick a course focused on applications. If you want to build AI systems, choose one that teaches Python, machine learning, and neural networks.
Dataquest covers both, offering hands-on coding with Python, machine learning basics, and large language model workflows.
What are the best AI courses online?
The best AI courses focus on practical coding, not just theory. Look for courses that teach core AI concepts and let you apply them to real problems.
Some courses show how to use AI tools like ChatGPT, while others teach how to build AI systems from scratch. Dataquest emphasizes building AI systems, letting you write and run code in your browser so you truly understand how AI works.
How much do AI courses cost?
Costs vary widely, from free introductory courses to monthly subscriptions on learning platforms to university programs costing thousands.
Dataquest offers an affordable subscription with full access to all data science, analytics, engineering, and AI courses. It also includes free lessons and a 14-day money-back guarantee, so you can start learning risk-free.
Will you get a certificate, and does it help you stand out?
Yes, you earn a certificate after completing a course, but certificates alone rarely land AI roles. What matters most is a portfolio showing real projects and models you’ve built. Dataquest helps you create these practical projects as you learn, so you gain skills that truly stand out.
What is AI?
Artificial Intelligence (AI) is the creation of systems that can perform tasks requiring human intelligence, such as analyzing data, recognizing patterns, and making decisions. AI engineers build these systems using algorithms, models, and data, including AI agents that automate workflows or respond to inputs.
Dataquest teaches the practical side of AI with Python, letting you build and deploy real AI solutions through hands-on coding, without relying on theory or buzzwords.
What are generative AI models?
Generative AI models are systems that create new content rather than only analyzing data. They can generate text, images, or code based on patterns learned from training data.
Many generative AI models rely on natural language processing (NLP) and are built as large language models (LLMs). These models generate human-like text by predicting what comes next in a sequence of words.
What tools are commonly used in AI?
Common AI tools include Python, PyTorch, TensorFlow, the OpenAI API, and Hugging Face. Dataquest gives you hands-on experience with these industry-standard libraries.
Are AI skills still in demand?
Yes, AI skills are still in high demand. Many companies are adopting AI across products and internal systems and need people who understand how these systems work.
Learning AI helps you move beyond simply using AI tools. You learn how to build, evaluate, and optimize models, which allows you to work directly with AI systems.
What jobs can you get with AI skills?
AI skills can lead to several technical and hybrid roles, including:
- Machine Learning Engineer
- AI Specialist
- Data Scientist
- NLP Engineer
- AI Product Manager
These roles usually require strong foundations in Python and machine learning, which Dataquest focuses on across its AI courses.
What qualifications do you need for AI?
You do not need formal qualifications to start working in AI, but you do need core technical skills. Most AI roles require Python, basic machine learning, and computer science fundamentals. These skills are commonly built through courses and hands-on projects rather than a specific degree.
Is AI hard to learn?
AI can be harder to learn than some other tech skills because it builds on computer science concepts such as math, algorithms, and data processing. However, many people learn AI successfully by building strong AI foundations in Python and basic machine learning.
Dataquest focuses on essential AI skills through hands-on practice, helping you understand how AI systems work rather than treating them as black boxes.
How long will it take to become job-ready in AI?
AI is an advanced field. Most learners need six to twelve months or more to build a solid foundation, often starting with data science and machine learning basics. Dataquest supports learners throughout this process with structured learning paths.
What’s the 30% rule in AI?
The 30% rule in AI is an informal guideline used in responsible AI. It suggests that humans should handle around 30% of a task, especially the creative or judgment-based parts, while AI handles repetitive work.
This balance is an important idea in AI ethics. Many AI roles focus on building systems that support human work rather than fully replacing it.