The 10 Best AI Courses That Are Worth Taking in 2024 (2024)

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Today’s options for best AI courses offer a wide variety of hands-on experience with generative AI, machine learning and AI algorithms.

Since ChatGPT proved a consumer hit, a gold rush has set off for AI in Silicon Valley. Investors are intrigued by companies promising generative AI will transform the world, and companies seek workers with the skills to bring them into the future. The frenzy may be cooling down in 2024, but AI skills are still hot in the tech market.

Looking to join the AI industry? Which route into the profession is best for each individual learner will depend on that person’s current skill level and their target skill or job title.

When assessing online courses, we examined the reliability and popularity of the provider, the depth and variety of topics offered, the practicality of the information, the cost and the duration. The courses and certification programs vary a lot, so choose the options that are right for each person or business.

They are listed in order of skill level and, within the skill level categories, alphabetically. In most cases, each provider offers multiple courses in different aspects of generative AI. Explore these generative AI courses to see which might fit the right niche.

  • Coursera's AI for Everyone: Coursera
  • AWS’s Building a Generative AI-Ready Organization via Coursera: Coursera
  • DataCamp’s Understanding Artificial Intelligence: Datacamp
  • Google Cloud’s Introduction to Generative AI Learning Path: Google Cloud
  • IBM's Introduction to Artificial Intelligence via Coursera: Coursera
  • AWS Generative AI Developer Kit: AWS Skill Builder
  • Harvard University Professional Certificate in Computer Science for Artificial Intelligence: edX
  • MIT's Professional Certificate Program in Machine Learning & Artificial Intelligence: MIT Professional Education
  • Stanford Artificial Intelligence Professional Program: Stanford Online
  • Udacity’s Artificial Intelligence Nanodegree program: Udacity

Best AI courses: Comparison table

CourseCostDurationSkill levelCertification, badge or something else upon completion?
AI for EveryoneFree to $79 per month with certification6 hoursBeginnerCertificate
AWS’s Building a Generative AI-Ready Organization via CourseraFree1 hourBeginnerN/A
DataCamp’s Understanding Artificial Intelligence$25 per month2 hoursBeginnerStatement of Accomplishment
Google Cloud’s Introduction to Generative AI Learning PathFree8 hours and 30 minutes, with quizzesBeginnerBadge
IBM’s Introduction to Artificial Intelligence via CourseraFree to $79 per month8 hoursBeginnerCertificate
AWS Generative AI Developer Kit$29 per month or free if completed within 7-day trial16 hours and 30 minutesIntermediaryN/A
Harvard University Professional Certificate in Computer Science for Artificial IntelligenceFree to $466.20 (discounted)Approximately 5 monthsIntermediaryCertificate (with fee)
MIT’s Professional Certificate Program in Machine Learning & Artificial IntelligenceStarting at $6,325, with additional required electives starting at $2,50016 daysAdvancedCertificate
Stanford Artificial Intelligence Professional Program$5,250Starting at 10 weeks, 10 - 15 hours per weekAdvancedCertificate
Udacity’s Artificial Intelligence Nanodegree Program$249 per month or $846 for four months3 monthsAdvancedCertificate

Coursera's AI for Everyone

The 10 Best AI Courses That Are Worth Taking in 2024 (1)

A name learners are likely to see on AI courses a lot is Andrew Ng; he is an adjunct professor at Stanford University, founder of DeepLearning.AI and cofounder of Coursera. Ng is one of the authors of a 2009 paper on using GPUs for deep learning, which NVIDIA and other companies are now doing to transform AI hardware. Ng is the instructor and driving force behind AI for Everyone, a popular, self-paced course — more than one million people have enrolled. AI for Everyone from Coursera contains four modules:

  • What is AI?
  • Building AI Projects
  • Building AI in Your Company
  • AI and Society

Pricing

For individuals, a Coursera account is $49-$79 per month with a 7-day free trial, depending on the course and plan. However, the AI for Everyone course can be taken for free; the $79 per month fee provides access to graded assignments and earning a certificate.

Duration

Coursera states the class takes six hours to complete.

Pros

  • Coursera is a popular course platform used widely.
  • Instructor has proven excellence in the field.
  • It is possible to complete the entire course within the 7-day free trial.
  • Coursera emphasizes gamified goals.

Cons

  • The information is basic and generalized.
  • The course videos have not been updated recently, so the latest information about generative AI is not included.
  • Coursera’s UI can be cluttered.

Prerequisites

This course has no prerequisites.

AWS’s Building a Generative AI-Ready Organization via Coursera

The 10 Best AI Courses That Are Worth Taking in 2024 (2)

Are you a C-suite leader looking to shape your company’s vision for machine learning? If so, this non-technical course helps business leaders build a top-down philosophy around AI and machine learning projects. It could be useful for sparking conversation between business and technical leaders.

Pricing

Free if completed within the Coursera 7-day trial. Otherwise, a Coursera account is $49-$79 per month, depending on the course and plan.

Duration

This course takes about one hour.

Pros

  • Good overview for getting started with the topic.
  • Focuses on how to talk to stakeholders about AI and ML projects.
  • Includes a quiz for self-assessment.

Cons

  • While the title includes “generative AI,” this course is a reskinned initiative to promote machine learning. While many of the ideas are applicable to generative AI, they are not specific to generative AI.
  • The course is brief, and information may be generalized.
  • The course is hosted on an external AWS site, but requires the Coursera portal to access and complete the quiz. Moving between the two can be cumbersome.

Prerequisites

There are no prerequisites for this course.

DataCamp’s Understanding Artificial Intelligence

The 10 Best AI Courses That Are Worth Taking in 2024 (3)

This is a well-reviewed beginner course that sets itself apart by approaching AI holistically, including its practical applications and potential social impact. It includes hands-on exercises but doesn’t require the learner to know how to code, making it a good mix of practical and beginner content. Datacamp’s Understanding Artificial Intelligence course is particularly interesting because it includes a section on business and enterprise. Business leaders looking for a non-technical explanation of infrastructure and skills they need to harness AI might be interested in this course.

Pricing

This course can be accessed with a DataCamp subscription, which costs $25 per person per month, billed annually. Educators can get a group subscription for free.

Duration

Including videos and exercises, this course lasts about two hours.

Pros

  • Like Coursera, DataCamp’s UI emphasizes gamified points systems and data-driven milestones. This may help some users break tasks into smaller chunks, concentrate on the task and complete the course faster.
  • Includes real-world-like scenarios and practical use cases.

Cons

  • DataCamp’s UI can be cluttered with pop-ups and promotions. If the gamification doesn’t help you focus, it could be distracting.
  • Some content can be very generalized and slow-paced.

Prerequisites

This course has no prerequisites.

Google Cloud’s Introduction to Generative AI Learning Path

The 10 Best AI Courses That Are Worth Taking in 2024 (4)

Google Cloud’s Introduction to Generative AI Learning Path covers what generative AI and large language models are for beginners. Since it’s from Google, it provides some specific Google applications used to build generative AI: Google Tools and Vertex AI. It includes a section on responsible AI, inviting the learner to consider ethical practices around the generative AI they may go on to create. Completing this learning path will award the Prompt Design in Vertex AI skill badge.

Another option from Google Cloud is the Generative AI for Developers Learning Path.

Pricing

This course is free.

Pros

  • Clean UI.
  • Presentation is energetic and modern.
  • Answers common, practical questions beginners may have about AI.

Cons

  • Focuses at times exclusively on Google products, which might not be an issue if you’re a Google admin.

Duration

The path technically contains 8 hours and 30 minutes of content, but some of that content is quizzes. The time it takes for each individual to complete the path may vary.

Prerequisites

The path has no prerequisites.

IBM's Introduction to Artificial Intelligence via Coursera

The 10 Best AI Courses That Are Worth Taking in 2024 (5)

Since this course is taught by an IBM professional, it is likely to include, real-world insight into how generative AI and machine learning are used today. It is an eight-hour course that covers a wide range of topics around artificial intelligence, including ethical concerns. Introduction to Artificial Intelligence includes quizzes and can contribute to career certificates in a variety of programs from Coursera.

Pricing

Free if completed within the 7-day Coursera free trial, or $49-$79 per month afterward, depending on the course and plan. Financial aid is available.

Duration

Coursera estimates this course will take about eight hours.

Pros

  • This course is part of multiple learning paths or certification tracks, so completing it can help learners start to pursue other interests on Coursera.
  • This course can be audited, meaning it can be taken for free, though doing so won’t contribute to certifications or include assessments.

Cons

  • After selecting a certification track, Coursera will inform the user that some certifications require a subscription.
  • Some people have reported bugs or trouble signing in to the IBM tools required to complete the course.
  • Some people noted that later parts of the course feature interviews with specialists, not practical use cases. These interviews aren’t necessarily a drawback, but some learners commented that the interviews were not as educational or practical as the course was advertised to be.

Prerequisites

There are no prerequisites for this course.

AWS Generative AI Developer Kit

The 10 Best AI Courses That Are Worth Taking in 2024 (6)

AWS offers a lot of AI-related courses and programs, but we chose this one because it combines fundamentals — the first two courses in the developer kit — with hands-on knowledge and training on specific AWS products. This could be very practical for someone whose organization already works with multiple AWS products but wants to expand into more generative AI products and services. This online, self-guided kit includes hands-on labs and AWS Jam challenges, which are gamified and AI-powered experiences.

Pricing

The AWS Generative AI Developer Kit is part of the AWS Skill Builder subscription. AWS Skill Builder is accessible with a 7-day trial, after which it costs $29 per month or $449 per year.

Duration

The courses take 16 hours and 30 minutes to complete.

Pros

  • Thorough exploration of the topic.
  • Good for gaining specific skills with AWS products.
  • Gain practice taking exams and certifications on AI development.

Cons

  • The content covered in the course may not be relevant outside of specific AWS products.
  • Some learners found the course structure to be confusing.

Prerequisites

This course is appropriate for professionals who have not worked with generative AI before, but it would help to have worked within the AWS ecosystem. In particular, Amazon Bedrock is discussed at such a level that it would be beneficial to have completed the course AWS Technical Essentials or have comparable real-world experience.

Harvard University Professional Certificate in Computer Science for Artificial Intelligence

The 10 Best AI Courses That Are Worth Taking in 2024 (7)

Harvard’s online professional certificate combines the venerable university’s Introduction to Computer Science course with another course tailored to careers in AI: Introduction to Artificial Intelligence with Python. This certification is suitable for people who want to become software developers with a focus on AI. This course is self-paced, and students will receive pre-recorded instruction from Harvard University faculty.

Pricing

Both courses together cost $466.20 as of the time of writing; this is a discounted price from the usual $518. Learners can take both courses in the certification for free, but the certification itself requires a fee.

Duration

These courses are self paced, but the estimated time for completion is five months at 7-22 hours per week.

Pros

  • Well-regarded educators and curriculum.
  • Thorough.
  • Certifications affiliated with universities, particularly Harvard, could be beneficial in the job search or when pursuing further schooling.

Cons

  • Relatively expensive.
  • Based on reviews, some material may be outdated.

Prerequisites

There are no prerequisites required, although a high-school level of experience with programming basics would likely provide a solid foundation. The Introduction to Computer Science course covers algorithms and programming in C, Python, SQL and JavaScript, as well as CSS and HTML.

MIT's Professional Certificate Program in Machine Learning & Artificial Intelligence

The 10 Best AI Courses That Are Worth Taking in 2024 (8)

“MIT has played a leading role in the rise of AI and the new category of jobs it is creating across the world economy,” the description of the program states, summing up the educational legacy behind this course. MIT’s AI and machine learning certification course for professionals is taught by MIT faculty who are working at the cutting edge of the field.

This certification program is comparable to a traditional college course, and that level of commitment is reflected in the price.

If a learner completes at least 16 days of qualifying courses, they will be eligible to receive the certificate. Courses are typically taught June, July and August online or on MIT’s campus.

Pricing

There is an application fee of $325. The two mandatory courses are:

  • Machine Learning for Big Data and Text Processing: Foundations⁠, which costs $2,500 for two days.
  • Machine Learning for Big Data and Text Processing: Advanced⁠, which costs $3,500 for three days.

The remaining required 11 days can be composed of elective classes, which last between two and five days each and cost between $2,500 and $4,700 each.

Duration

16 days.

Pros

  • Provides access to the MIT Alumni Network for current and former students, providing further education and connections.
  • Network and learn together with peers.

Cons

  • Less flexible than other online courses on this list, as it is held and paced like a traditional college course.
  • Relatively expensive.

Prerequisites

The Professional Certificate Program in Machine Learning & Artificial Intelligence is designed for technical professionals with at least three years of experience in computer science, statistics, physics or electrical engineering. In particular, MIT recommends this program for anyone whose work intersects with data analysis or for managers who need to learn more about predictive modeling.

Stanford Artificial Intelligence Professional Program

The 10 Best AI Courses That Are Worth Taking in 2024 (9)

Completion of the academically rigorous Stanford Artificial Intelligence Professional Program will result in a certification. This program is suitable for professionals who want to learn how to build AI models from scratch and then fine-tune them for their businesses. In addition, it helps professionals understand research results and conduct their own research on AI. This program offers 1 to 1 time with professionals in the industry and some flexibility — learners can take all eight courses in the program or choose individual courses.

The individual courses are:

  • Artificial Intelligence Principles and Techniques.
  • Natural Language Processing with Deep Learning.
  • Natural Language Understanding.
  • Machine Learning.
  • Reinforcement Learning.
  • Machine Learning with Graphs.
  • Deep Multi-Task and Meta Learning.
  • Deep Generative Models.

Pricing

The Stanford Artificial Intelligence Professional Program costs $1,750 per course. Learners who complete three courses will earn a certificate.

Duration

Each course lasts 10 weeks at 10 to 15 hours per week. Courses are held on set dates.

Pros

  • Rigorous material and prestigious educators.
  • May include research projects or other hands-on work that could be added to a professional portfolio.
  • Opportunities to network with peers.

Cons

  • Relatively expensive and time-consuming, although the resulting education is proportionally thorough and practical.

Prerequisites

Interested professionals can submit an application; applicants are asked to prove competence in the following areas:

  • Coding in Python.
  • Basic Linux command line workflows.
  • College calculus and linear algebra, including derivatives, matrix/vector notation and operations.
  • Probability theory.

Udacity’s Artificial Intelligence Nanodegree program

The 10 Best AI Courses That Are Worth Taking in 2024 (10)

Udacity’s Artificial Intelligence Nanodegree program equips graduates with practical knowledge about how to solve mathematical problems using artificial intelligence. This class isn’t about generative AI models; instead, it teaches the underpinnings of traditional search algorithms, probabilistic graphical models, and planning and scheduling systems. Learners who complete this course will gain experience in working with the types of algorithms used in the real world for:

  • Planning.
  • Optimization.
  • Problem solving.
  • Automation.
  • Logistics operations.
  • Aerospace.

Pricing

This course costs $249 per month paid monthly or $846 for the first four months of the subscription, after which it will cost $249 per month.

Duration

This course lasts about three months.

Pros

  • Highly technical foundation for working with many types of AI.
  • Includes real-world-style projects and exercises.

Cons

  • Some reviews of Udacity-hosted courses indicated a decline in quality in recent years, or noted the courses moved too quickly over some subjects.
  • Based on reviews, some material may be outdated.

Prerequisites

Learners in this course should have a background in programming and mathematics. The following skills are recommended:

  • Object-oriented Python.
  • Intermediate Python.
  • Object-oriented programming basics.
  • Basic data structures and algorithms.
  • Basic descriptive statistics.
  • Basic calculus.
  • Command line interface basics.
  • Differential calculus.
  • Scripting.
  • Linear algebra.
  • Basic algorithms.
  • Jupyter notebooks.

Is it worth taking an AI course?

Whether it is worth taking an AI course depends on many factors: the course, the individual and the job market. For instance, getting an AI-focused certification might contribute to getting a salary increase or making a career change. AI courses could help someone learn AI skills that might be a good fit for their abilities, or could be the first step toward a lucrative and life-long career. Educating oneself in a contemporary topic can always have some benefits in terms of practicing new skills.

Can I learn AI without coding?

Some introductory AI courses do not require coding; however, AI is a relatively complex topic in computing, and practitioners will need some programming skills as they progress to more advanced courses and learn how to build and deploy AI models. Most likely, intermediate learners need to be comfortable working in Python.

SEE: Help your business by becoming your own IT expert. (TechRepublic Academy)

Some of these courses and certifications include education in basic programming and computer science. More advanced courses and certifications will require learners to already have a college-level knowledge of calculus, linear algebra, probability and statistics, as well as coding.

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The 10 Best AI Courses That Are Worth Taking in 2024 (2024)

FAQs

What is the best course to study AI? ›

  • IBM. Introduction to Artificial Intelligence (AI) ...
  • DeepLearning.AI. AI For Everyone. ...
  • IBM. Python for Data Science, AI & Development. ...
  • Google Cloud. Introduction to Generative AI. ...
  • IBM. IBM AI Developer. ...
  • IBM. AI Foundations for Everyone. ...
  • Multiple educators. Machine Learning. ...
  • DeepLearning.AI. Deep Learning.

What is the best degree for the future with AI? ›

A Bachelor's or Master's in Computer Science is the traditional degree for working in artificial intelligence. It is the most generalized option that leads to a variety of careers, but it is possible to focus on AI courses while earning a computer science degree through electives to gain necessary AI skills.

Which college AI course is best? ›

  • Indraprastha Institute of Information Technology (IIIT):
  • Amity University:
  • Vellore Institute of Technology (VIT):
  • Chandigarh University:
  • Jain Deemed to be University:
  • SRM Institute of Science and Technology:
  • Dy Patil International University:
  • Sharda University:

What is the best AI program to use? ›

Comparison Chart: Top AI Software
ToolCompanyBest For
H2O AI CloudH2O.aiBest for AutoML
C3 AI PlatformC3 AIBest for Industry-Specific Model Development
GleanGleanBest for Organizational Knowledge Management & Search
Microsoft CopilotMicrosoftBest for General Workplace Task Assistance
16 more rows
May 31, 2024

Which course is best for future 2025? ›

Most Demanding Engineering Field in Future 2025
  • Artificial Intelligence (AI) and Machine Learning. ...
  • Renewable Energy Engineering. ...
  • Biomedical Engineering. ...
  • Cybersecurity Engineering. ...
  • Environmental Engineering. ...
  • Robotics and Automation Engineering. ...
  • Technological Advancements. ...
  • Economic Factors.
Mar 27, 2024

What college has the best AI program? ›

Leading Schools for AI Education and Research
  • Massachusetts Institute of Technology. Location: Cambridge, Massachusetts. ...
  • University of Washington.
  • University of Texas, Austin. ...
  • University of Pennsylvania. ...
  • Rochester Institute of Technology (RIT) ...
  • University of Texas at Dallas (UTD) ...
  • Santa Clara University. ...
  • University of Denver.
Apr 3, 2024

Is it worth doing an AI course? ›

Career Opportunities: Learning ML/AI can open up various career opportunities. You could become a machine learning engineer, data scientist, AI researcher, or work in roles.

Where is best to study AI? ›

Massachusetts Institute of Technology (MIT) is the best university in the world for studying data science and artificial intelligence (AI), leading the way in an expanded subject ranking for 2024.

Which AI is best in the world? ›

Google Assistant. Ranking among the top AI software solutions, Google Assistant stands out with its practical features and advanced machine learning components.

Which AI is better than ChatGPT? ›

The 15 Best ChatGPT Alternatives to Try in 2024
AI assistantBest for
ClaudeNuanced AI conversations
GitHub CopilotCoding assistance
CodeiumCode completion and generation
Cohere GenerateCustomizable AI models
11 more rows
May 13, 2024

What's the best way to learn AI? ›

Start with a solid foundation in computer science and a strong grip on a programming language, preferably Python. Next, learn basic algorithms followed by machine learning and data science principles. Apply theoretical knowledge through AI projects. Websites like Kaggle and GitHub offer numerous projects for beginners.

Which course is needed for artificial intelligence? ›

How can I become an AI after 12th? To pursue a career in AI after 12th, you can opt for a bachelor's degree in fields like computer science, data science, or AI. Focus on learning programming, mathematics, and machine learning concepts. Further, consider pursuing higher education or certifications to specialize in AI.

Are AI courses worth it? ›

With the demand for AI professionals on the rise, certified individuals enjoy higher earning potential and increased job opportunities3. Employers value the specialized skills and expertise gained through certification, making certified professionals highly sought after in the job market.

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