Fact checked by Here, we evaluate the best artificial intelligence courses of the year. The community at Hackr submits their favorite resources, votes for their favorites, and comments on overall quality. For this article, we evaluated all of these popular artificial intelligence courses and tutorials. We looked at the depth of the course, qualifications of the instructor (or institution), cost, and overall approachability.
Read the details for all the best artificial intelligence courses below. Our evaluations uncovered the ideal skill level of the students, the duration of the course, and the cost. So check out the details. After all, artificial intelligence is the future of the world. If you’re thinking about learning AI and machine learning, it might be worth it to try the artificial intelligence courses below.
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Best Artificial Intelligence Courses
Whether you want to build large language models or design self-driving cars, we've compiled the best Artificial Intelligence courses (Best AI Courses) offered by top-tier universities and online forums to help you acquire this expertise and further your career goals in great leaps.
1. Artificial Intelligence Professional Program from Stanford - Hackr Recommended
This online program offers rigorous coverage of modern AI fields, including machine learning, reinforcement learning, neural networks, and natural language processing and understanding.
The courses in the program are based on Stanford’s on-campus graduate courses but are adapted for the needs of working professionals. Courses are taught by renowned Stanford faculty, all of whom are experts in their fields.
Courses include:
- Machine Learning
- Machine Learning with Graphs
- Natural Language Processing with Deep Learning
- Natural Language Understanding
- Reinforcement Learning
- Deep Multi-Task and Meta Learning
Students who successfully complete three courses in the program will earn a Stanford Professional Certificate in Artificial Intelligence
Prerequisites:
- Proficiency in Python
- College calculus and linear algebra
- Understanding of advanced probability
Level: Intermediate
Rating: 5.0
Duration: 10 weeks per course, 10-15 hours per week
Price: $1750 per course
- Get information about pricing for your specific courses from Stanford.
2. Artificial Intelligence A-Z - Hackr Recommended
This course provides a thorough knowledge of Artificial Intelligence, such as Machine Learning, Data Science, and Deep Learning, to create AI designs for real-world applications.
The course covers topics such as:
- Artificial Intelligence and its uses.
- Artificial Intelligence Designs.
- Intuition Q-learning, Deep Q-learning, and Deep Convolutional Q-learning.
- Learning to work with A3C.
- Control advanced AI models.
- Build Virtual Self-driving cars.
- AI programming to test games and defeat them.
- Actively solving real problems in the world by using various AI designs.
Candidates can apply their extensive knowledge in AI to design real-world applications and sell them after the course. They can also apply for jobs in advanced AI programming and help develop AI technologies in the real world.
If you’re brand new to AI, this artificial intelligence training course can help you start from the very beginning. Once you're well-versed in Python and some of the basics, you can also follow our course on how to build a chatbot in 24 hours.
Prerequisites: Basic knowledge of Python and high school mathematics.
Level: Beginner to Expert
Rating: 4.3
Duration: 16 hours and 30 minutes
Price:
- The regular full price is $129.99. On sale, this course can go for around $25 to $30.
- This course is also available with Udemy’s personal subscription plan costing $29.99 (after the initial seven-day trial).
3. Artificial Intelligence Certification Program by Stanford University - Hackr Recommended
This is the best artificial intelligence course which is ideal for computer programming and language programming students and software engineers who eventually work with Artificial Intelligence. You can earn an AI certification from Stanford University under the tutelage of renowned Professor Andrew Ng.
The course covers topics such as:
- Machine learning, knowledge representation.
- Logic and probabilistic models.
- Robotics, natural language processing, and visual learning.
(It is advisable to pair these courses with curriculums involving advanced statistics and probability for a better understanding of the subject)
Upon completing the course, learners can apply for jobs in AI programming, Robotic Engineering, building AI for practical uses, and its application in business modules.
It can be said that this is in contention for the best artificial intelligence course if you want to earn yours from a prestigious institution.
Prerequisites
- A Bachelor’s degree with a 3.0 or higher grade point average.
- Understanding of advanced probability.
- Advanced statistics and advanced linear algebra.
- Experience with programming in C/C++, Java, Python, or other similar languages.
Level: Intermediate
Rating: 4.8
Duration: Subject to the number of units chosen.
Price: See this link
4. Understanding Machine Learning by DataCamp
This short course on DataCamp is a beginner-friendly introduction to machine learning concepts without having to write any code.
It explains the basics of machine learning and helps you understand the differences between machine learning, AI, and data science. I like that the course also dives into essential machine-learning jargon and the workflow for building models.
Additionally, it explores deep learning applications in computer vision and natural language processing, addressing the limits and dangers of machine learning.
The course covers topics such as:
- Machine learning concepts and terminology
- Supervised vs unsupervised learning
- Hyperparameter concepts and tuning
- Introduction to Deep Learning with NLP and computer vision
Prerequisites: None
Level: Beginner
Rating: 4.6
Duration: 2 hours
Price: See this link
5. AI course for Everyone by Coursera
This course is offered by deeplearning.ai, established by the founding leader of Google Brain and renowned Adjunct professor, Andre Ng of Stanford University. It’s one of the best AI courses online that gives you a certificate once you finish.
The course covers topics such as:
- Machine learning and what its functions are.
- The technical know-how of machine learning and non-technical explanations of deep learning.
- Short quizzes to assist in grasping new and difficult concepts
Upon course completion, the student can evaluate their options of taking further courses of in-depth education in Artificial Intelligence to get better job offers and work with futuristic technology.
Prerequisites: None
Level: Beginner
Rating: 4.8
Duration: 6 hours
Price:
- Purchase the course for a one-time fee of $49 (certificate included), or
- FREE audit-only access (access to all the course materials except for graded items)
6. Harvard's CS50 Introduction to Artificial Intelligence with Python via edX
Harvard University brings forth this incredible opportunity to obtain a Verified Certificate in using AI with Python to understand and implement AI technology using complex mathematical concepts.
The course covers topics such as:
- Probability theories and logical inference to understand the process of creating AI-powered devices.
- Knowledge of machine learning, reinforcement learning, neural networks, and various other techniques to process data for building AI.
- To work with Bayesian networks and Markov models.
- Working with Graph Search Algorithms.
- Creating constraint satisfaction designs.
You get a verified certification from Harvard at the end, which helps students apply for jobs in AI programming, data science, etc. with better pay grades. It’s certainly a good choice if you want to join some AI classes.
Prerequisites: Programming Experience with Python, preferably with CS50.
Level: Beginner
Rating: 4.8
Duration: 7 weeks with 10 hours/week
Price: Free, but an optional upgrade is available (usually to earn a certificate)
7. IBM Applied AI Certification Course by Coursera
IBM offers this excellent opportunity to instruct people to use Python, create virtual assistants and chatbots for their business, and learn about neural networks, machine learning, and deep learning.
The course covers topics such as:
- Usage of minimal coding to create AI-powered programs with APIs, Python, and IBM’s Watson AI service.
- Virtual assistants and chatbots to assist customers and clients in the absence of physical customer support for your business.
- Application of vision techniques to upload various design and classification models.
Learners will gain an in-depth knowledge of AI by the end of this certification course. They can apply for jobs in Data Science, Machine responding, AI generation, etc. Additionally, acquiring the IBM Watson AI and learning to use it can support creating better levels of AI-generated assistance in their business.
Prerequisites: No prerequisites for this program.
Level: Beginner
Rating: 4.6
Duration: 7 months with 4 hours/week
Price: Seven-day free trial, then $39 per month until you finish (certificate included)
8. AI Applications with Watson by IBM via edX
This course provides a thorough understanding and application of IBM’s Watson to create smarter AI programs for more realistic and humane responses and functions.
The course covers topics such as:
- Programming AI to transcribe and evaluate big data sets and apply specific functions to improve efficiency.
- Chatbots grasp grievances by improving their IQ through Watson's discovery automatically.
- Designing Watson to analyze tone and customer preferences.
Upon completing the course, those who enroll in this course can design advanced chatbots and virtual assistants to address clients and acquire necessary data. Complete knowledge of IBM Watson adds extra points to your Resume/CV along with a certification from IBM.
Prerequisites: None
Level: Intermediate
Rating: 4.6
Duration: 3 weeks with 2-4 hours/week
Price: Free, but an optional upgrade is available (usually to earn a certificate)
9. The Beginner’s Guide to AI in Unity by Udemy
This course explains how to create and navigate non-player characters in Google Play and App Store games with C#. This course involves programming NPCs and implementing them in pre-existing software and learning to navigate NPCs and program decision-making abilities.
The course covers topics such as:
- Vector Mathematics.
- Implementing Vectors to move characters in different directions and navigating to goal locations.
- Unity’s Vehicle system and Waypoint system to navigate cars and create racing programs.
- In-depth knowledge of waypoints through graph and pathfinding and creating waypoints in 2D.
- Traversing from Waypoint to NavMesh and learning to animate on NavMesh and sync agent speed in different sizes.
- Complex behavioral patterns of wandering, fleeing, hiding, seeking pursuits, etc.
- Crowd simulation to conjure city crowds and navigate them to complete various challenges.
- Convert Finite State Machines to function on NavMesh.
- Introduction to behavior trees through careful and deliberate designing of nodes to influence behavioral afflictions.
- Goal-Oriented Action Playing and adding actions to perform with global states and multiple hosts.
You can apply these techniques in programming games or modify NPC behavior in pre-existing games after completing the course. You can then apply for jobs in game design, game testing, etc.
Prerequisites: Experience with C# and familiarity with the Unity Game Development Engine.
Level: Beginner
Rating: 4.5
Duration: 10 hours 50 minutes
Price:
- The regular full price is $19.99. On sale, this course can go for around $10 to $12.
- This course is also available with Udemy’s personal subscription plan costing $29.99 (after the initial seven-day trial).
10. Artificial Intelligence Masterclass by Udemy
This course is the ultimate package to learn how to build powerful Artificial Intelligence and hybrid AI models.
The course covers topics such as:
- Understanding and implementing fully connected neural networks.
- Working with Genetic Algorithms, Evolution Strategies, and Policy Gradients.
- Deep Learning of recurrent Neural Networks and NeuroEvolution
- Practice mixture density networking and more advanced formulas to make you an apt AI programmer.
- Building Hybrid Intelligence Systems.
Later, students will be equipped to perform innovative and progressive programming to cater to technology's ever-changing demands. They can acquire the most useful tools to create advanced AI models and apply them to more critical job roles in data science and Artificial Intelligence.
Prerequisites
- Knowledge of high school mathematics
- coding experience
Level: Advanced
Rating: 4.4
Duration: 12 hours
Price:
- The regular full price is $109.99. On sale, this course can go for around $10 to $15.
- This course is also available with Udemy’s personal subscription plan costing $29.99 (after the initial seven-day trial).
11. Machine Learning Educational Resources by Google
Google has designed an education program to help people identify the use of Artificial Intelligence to further the social agenda in our various communities.
The course covers topics such as:
- A basic understanding of machine learning, AI explorable, recommendation systems, and data clustering.
- How to test and debug Machine learning and prepare data.
- Using AI responsibly for the benefit of society.
Students become skilled to help social media sites in preventing various discrepancies at the ground level. It equips people with knowledge to prevent hacking and violations personally and identify inconsistencies in the system.
Prerequisites: No prerequisites for this course.
Level: Beginner
Rating: 4.0
Duration: Approximately 4 hours/topic
Price: Free
12. Artificial Intelligence: Reinforcement Learning in Python by Udemy
If you are a stock trader or wish to simplify your financial investments, this course is tailored for you. The course includes 15 hours of on-demand video and a syllabus built around real-world applications. More than 44,000 students have already enrolled in this AI course, and they provided strong reviews for the instructor.
The course covers topics such as:
- Understanding reinforcement learning to avoid trivial tasks in machine learning.
- Designing Bandit programming.
- Usage of Bellman Equation and UCB1 code.
- Understanding the relationship between psychology and how it affects reinforcement learning.
Students will be well-equipped to program their own bots to observe and analyze patterns for stock market investments while seeking higher returns after completing the course. This is a particularly useful tool to attain large margins in ROI.
Prerequisites
- Thorough understanding of calculus, linear regressions, probability, and gradient descent.
- Knowledge of Python and Numpy coding.
Level: Intermediate
Rating: 4.6
Duration: 12 hours and 30 minutes
Price: The regular full price is $79.99. On sale, this course can go for around $10 to $15.
13. Artificial Intelligence 2018: Build the Most Powerful AI
This course provides knowledge of Augmented Random Search (ARS) as used by multinational companies to build advanced Artificial Intelligence models
The course covers topics such as:
- Learn to build Artificial Intelligence Programming.
- Program powerful AI algorithms.
- Theory and application of ARS and how to use the algorithm in the real world.
- Preparing the AI model to perform tasks like Google Deep Mind to solve various problems.
After the courses end candidates can apply for jobs in AI programming or apply the knowledge in creating AI programs to compete with Google Deep Mind to solve complex problems.
Prerequisites: Knowledge of Python coding and scripting, basic mathematics, and a PC compatible to run Anaconda.
Level: Intermediate
Rating: 4.5
Duration: 5 hours
Price:
- The regular full price is $109.99. On sale, this course can go for around $10 to $15.
- This course is also available with Udemy’s personal subscription plan costing $29.99 (after the initial seven-day trial).
Why Do I Need To Know AI in 2024?
One thing is for sure: we're all slowly becoming acquainted with the various forms of AI in our professional and personal lives. But do you need to be an AI wizard to excel in 2024? Interesting question: let's dive deeper.
In the constantly evolving landscape of technology, the integration of artificial intelligence has become increasingly significant, and there is no doubt about that. While AI is a distinct field, its impact is becoming hard to ignore across various industries.
Professionals are now tasked with the responsibility of leveraging AI to extract actionable insights and drive innovation. This involves not just the manipulation of structured and unstructured data but also the application of advanced analytical techniques. AI, particularly in the form of machine learning, plays a pivotal role in this process.
Machine learning enables professionals to create predictive models that can learn from data, thereby enhancing the accuracy and effectiveness of their analyses. Understanding AI principles, especially machine learning algorithms, can immensely benefit anyone looking to stay competitive.
This knowledge allows them to automate complex processes, optimize predictive models, and implement solutions that are both innovative and efficient. While not every role will demand deep expertise in AI, a foundational understanding is becoming increasingly important in the field.
If you're curious to learn more about the transformative power of generative AI across various industries, I'd highly recommend attending DataCamp's free digital conference, RADAR: AI Edition in June 2024.
This event is a fantastic opportunity to discover how businesses and individuals can unlock their full potential with AI. You'll hear from industry leaders like Megan Finck, the Global Head of Talent Acquisition (Data & AI) at Boeing, and Sadie St Lawrence, the CEO of Women in Data. Nnamdi Iregbulem, Partner at Lightspeed Venture Partners, and Eric Seigel, Founder of Machine Learning Week and bestselling author, will also share their insights.
Additionally, Carolann Diskin, Senior Technical Program Manager at Dropbox, and Julien Simon, Chief Evangelist at Hugging Face, will discuss the future of AI and its applications. Don't miss this chance to learn from experts about the latest advancements and strategies in AI.
Conclusion
Here we have listed the best AI Courses. We evaluated the depth of coverage, the expertise of the people teaching the course, and the value in relation to cost. Our article on the best artificial intelligence courses includes simple online tutorials and some of the most prestigious learning institutions on the planet. Read our evaluations to find the best fit for your learning style and budget. Looking to add your own feedback? Leave us a comment with your thoughts on the best AI courses.
Frequently Asked Questions
Which artificial intelligence course is the best?
It depends on your preferences and needs, and which aspects of artificial intelligence you’d like to learn specifically. It can also depend on what level of knowledge you are starting from. The resources in this article include some of the best AI courses currently available.
What is an artificial intelligence course?
An artificial intelligence course is one that encompasses everything there is to know about AI and machine learning. These teach the principles and practical knowledge necessary to work with artificial intelligence, including natural language processing, computer science, Python, psychology, maths, machine learning, and data science.
Is artificial intelligence difficult?
Due to the various components involved, such as extensive mathematics, programming, and data science, it certainly can be. There is also some complexity involved, so starting to learn this field can be quite challenging. The good news is that there are AI training courses that can help.
Who can learn an artificial intelligence course?
Just about anyone! If you are willing to put in the hard work, you can learn. However, there are also some prerequisites for certain courses. Make sure that you qualify prior to enrolling in an artificial intelligence online course, and if you don’t, it may be a good idea to start working on getting the requirements first.
