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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
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Data Literacy and AI Fundamentals
Build foundational data literacy skills and learn how AI tools can support everyday data work, from communicating insights to working more effectively with data.
2 courses
12 hours
Gen AI (Python)
Build Python skills, work with LLM APIs, and automate tasks to create practical AI-powered applications.
8 courses
3 projects
33 hours
20.3k
Deep Learning in TensorFlow
Build and train neural networks with TensorFlow, from fundamentals to practical models that make real predictions.
4 courses
4 projects
23 hours
3.1k
Free
Zero to GPT
Build and train deep learning models from scratch, including GPTs, by applying neural networks, optimization, and modern transformer techniques.
3 courses
1 hours
5.4k
Machine Learning
Train predictive models in Python, evaluate performance, and apply machine learning to real datasets for insights.
7 courses
7 projects
26 hours
16k
Using AI to Work with Data
Learn how to use AI tools like large language models to explore, explain, and communicate data more effectively—without writing code.
6 hours
APIs and Web Scraping for AI Applications
Explore APIs and web scraping with Python to retrieve, filter, and extract real-world data for AI-focused analysis and applications.
4 hours
2.2k
Free
AI Skills
Explore how AI chatbots and large language models are reshaping communication through guided interaction, real examples, and hands-on practice.
3 hours
6k
Prompting Large Language Models in Python
Examine real-world applications of large language models by designing prompts, managing context, and building AI-driven workflows in Python.
8 hours
2k
Designing Dynamic Python Applications with Streamlit
Design interactive Python applications with Streamlit by creating dynamic interfaces, managing state, and integrating LLM-powered chat features.
4 hours
1.8k
Introduction to Python Programming
Write basic Python programs by working with variables, data types, lists, loops, and conditionals to support simple development tasks.
4 hours
7.3k
Convolutional Neural Networks for Deep Learning
Design and refine convolutional neural network models for computer vision by training, regularizing, and fine-tuning CNN architectures on image data.
12 hours
482
Sequence Models for Deep Learning
Model sequential data by building and evaluating RNN, GRU, and LSTM architectures for time-series forecasting and sequence prediction tasks.
6 hours
544
Free
Optimizing Network Parameters
Optimize deep learning models by tuning network parameters, applying backpropagation, and using regularization to improve performance.
4 hours
384
Free
Network Architectures
Build and train neural network architectures, including dense and recurrent models, to solve classification and sequence prediction problems.
1 hours
640
Free
Neural Network Fundamentals
Establish a strong foundation in neural network architectures, core mathematics, and training methods that underpin modern deep learning and GPT models.
1 hours
5.3k
Introduction to Deep Learning in TensorFlow
Develop deep learning models by training and evaluating neural networks with TensorFlow to solve complex prediction problems.
6 hours
2.4k
Calculus for Machine Learning
Explore the calculus concepts that power machine learning, from rates of change and derivatives to the mechanics behind optimization algorithms.
2 hours
9.6k
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.