Udacity

Artificial Intelligence (Udacity)

Offered by Georgia Institute of Technology, Udacity,
Artificial Intelligence (Udacity)

Learn about the fundamentals of Artificial Intelligence in this introductory graduate-level course. It provides a survey of various topics in the field along with in-depth discussion of foundational concepts such as classical search, probability, machine learning, logic and planning.

Class Deals by MOOC List - Click here and see Udacity's Active Discounts, Deals, and Promo Codes.

Artificial Intelligence is poised to become one of the most revolutionary technologies of our time. We interact with intelligent systems and services in various forms, including apps on our phones, websites, devices, etc. With that, the demand for AI Engineers is on the rise. Take this course to understand the fundamental concepts and algorithms behind artificial intelligence, and learn to apply them to various real-world problems including game playing, navigation, sign-language recognition, et al.

What You Will Learn

Lesson 1
Search

  • Game Playing
  • Basics of Search
  • Logic and Planning

Lesson 2
Constraints and Bayes Nets

  • Constraint Satisfaction
  • Probability
  • Bayes Nets

Lesson 3
Basics of Machine Learning

  • Simulated Annealing
  • Machine Learning
  • Pattern Recognition through Time

Prerequisites and Requirements
Undergraduate computer algorithm and data structures courses that cover O notation, time and space constraints; working knowledge of college level mathematics such as calculus, probability, and linear algebra. You will also need to be familiar with Python and be comfortable making modifications to large programs. Please review the following questions, if you answer "no" to any of them you may want to refresh your knowledge or practice the required skills prior to taking the class:
Are you comfortable programming in Python, including IPython notebooks? If not, are you comfortable in learning a language within the first week of class?

  • Have you taken several classes that required intensive programming?
  • Have you taken algorithms and data structures courses?
  • Are you prepared to spend at least 9 hours a week on this class?
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Generative AI Essentials: Overview and Impact (Coursera) Coursera
University of Michigan

Generative AI Essentials: Overview and Impact (Coursera)

Robotics & Computer Vision

With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools, like ChatGPT. In this course, you’ll explore generative AI essentials, how to ethically use artificial intelligence, its implications for authorship, and what regulations for generative AI could look like.

Jun 26th 2026
1 Week
Artificial Intelligence AI Coursera Plus
Details
AWS DeepRacer (Udacity) Udacity
Udacity,AWS

AWS DeepRacer (Udacity)

Data Science

Learn the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer. This course will prepare you to create, train, and fine-tune reinforcement learning models in the AWS DeepRacer 3D racing simulator. You will be able to utilize the car's tech specs, assembly, and calibration to train and deploy your racing model using AWS in both simulated and real-world tracks.

Self Paced
Self-Paced
Machine Learning Reinforcement Learning AWS DeepRacer
Details
Introduction to Machine Learning using Microsoft Azure (Udacity) Udacity
Udacity,Microsoft Azure

Introduction to Machine Learning using Microsoft Azure (Udacity)

Data Science

Gain a high-level introduction to the field of machine learning and prepare to use Azure Machine Learning Studio to train machine learning models. Plus, learn how to perform a variety of tasks on Azure Machine Learning labs — from data import, transformation and management to training, validating and evaluating models. Access to the Azure Machine Learning Labs will close after a predetermined number of students have completed the course.

Self Paced
Self-Paced
ML Machine Learning Microsoft Azure
Details
Python for Data Science, AI & Development (Coursera) Coursera
IBM

Python for Data Science, AI & Development (Coursera)

CS: Programming Data Science

Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.

Jun 23rd 2026
5-12 Weeks
Programming Python Artificial Intelligence
Details
Introduction to Large Language Models with Google Cloud (Udacity) Udacity
Udacity,Google Cloud

Introduction to Large Language Models with Google Cloud (Udacity)

Robotics & Computer Vision

Learn how large language models can be utilized and how you can use prompt tuning to enhance LLM performance. This is an introductory level course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps. Most students will be able to complete this course in under an hour.

Self Paced
Self-Paced
Artificial Intelligence NLP AI
Details
AI Fundamentals (Udacity) Udacity
Udacity,Microsoft Azure

AI Fundamentals (Udacity)

Data Science

Learn the AI skills top companies are looking for. This course is an entry point into the world of AI using Microsoft's cloud-based solutions, such as Azure Machine Learning and Azure Cognitive Services. You will have the chance to learn and experience firsthand how to train and deliver machine learning models and use Azure Cognitive Services for typical AI workloads such as Computer Vision, Natural Language Processing and Conversational AI.

Self Paced
Self-Paced
ML Artificial Intelligence Machine Learning
Details
Grow to Greatness: Smart Growth for Private Businesses, Part I (Coursera) Coursera
University of Virginia

Grow to Greatness: Smart Growth for Private Businesses, Part I (Coursera)

Management & Leadership Business

This course focuses on the common growth challenges faced by existing private businesses when they attempt to grow substantially. What you will learn: common myths and truths about growth in business; growth readiness assessment; the 4 P's of growing a business: planning, prioritization, pace and process; four ways to grow your business: scale and CVP, innovating, outsourcing and strategic acquisitions.

Jun 22nd 2026
5-12 Weeks
Planning Business Management
Details
Reinforcement Learning (Udacity) Udacity
Georgia Institute of Technology,Udacity

Reinforcement Learning (Udacity)

Data Science

You should take this course if you have an interest in machine learning and the desire to engage with it from a theoretical perspective. Through a combination of classic papers and more recent work, you will explore automated decision-making from a computer-science perspective. You will examine efficient algorithms, where they exist, for single-agent and multi-agent planning as well as approaches to learning near-optimal decisions from experience. At the end of the course, you will replicate a result from a published paper in reinforcement learning.

Self Paced
Self-Paced
Machine Learning Game Theory Reinforcement Learning
Details
Navigating Generative AI: A CEO Playbook (Coursera) Coursera
Coursera Instructor Network

Navigating Generative AI: A CEO Playbook (Coursera)

Robotics & Computer Vision

Created by Coursera's CEO, this course is your key to unlocking the transformative power of GenAI. It features hands-on labs with access to Google Gemini Pro in a secure, private environment. These labs not only teach you how to use GenAI, but also how to apply it to design your GenAI strategy, identify specific opportunities to enhance customer value, increase productivity, and navigate risks and ethical considerations in order to move quickly but safely in adopting generative AI.

Jun 25th 2026
5-12 Weeks
Artificial Intelligence CEO AI
Details
Data Science Interview Prep (Udacity) Udacity
Udacity

Data Science Interview Prep (Udacity)

Personal and Professional Development Data Science

Confidently take on the tech interview. Data science job interviews can be daunting. Technical interviewers often ask you to design an experiment or model. You may need to solve problems using Python and SQL. You will likely need to show how you connect data skills to business decisions and strategy. In this course, you'll review the common questions asked in data science, data analyst, and machine learning interviews.

Self Paced
Self-Paced
Data Structures Machine Learning Interview
Details