Best Artificial Intelligence Courses Online

17 artificial intelligence online courses – AI, Business, Healthcare

With the range of tech-based applications expanding to nearly every aspect of human occupations, the field of AI is a hothouse for both job seekers and digital enthusiasts. It is estimated (and not without a degree of apprehension) that AI is yielding more jobs than there are potential recruits to fill the gaps.

AI is being heavily implemented in areas that benefit from big data and analytics, such as finance, business, robotics, healthcare, marketing, advertising, research, science, or sales. If you find yourself on the curious side of this technological divide, the following review of the best artificial intelligence courses online can help you leap. 

Overview

Artificial Intelligence (AI) is a branch of computer science focused on equipping machines with intelligence to perform complex functions originally associated with humans. The field concerns itself with programming machines to think, discern, and act intelligently.

In less than a decade, AI’s definition and scope have shifted dramatically. It is no longer sufficient to classify something as AI based solely on task complexity.

What’s AI? Francois Chollet, an AI researcher at Google and creator of the machine-learning software library Keras, has come up with a more compact definition. According to the researcher, a system’s intelligence should be gauged by its ability to improvise and implement pre-determined information in unpredictable scenarios. 

ML and DL. Over the last decade, AI has expanded into two key subsets: Machine Learning (ML courses) and Deep Learning (DL courses). Much of the progress in AI essentially stems from these. ML refers to algorithm-based learning, while DL relies on the creation of a neural network that helps it perform independent actions. 

Use cases – Beyond conventional robotics, the field of AI is now home to innovations in health, finance, retail, highway management, and business. Given its scope and potential, now is the ideal time to capitalize on the surging possibilities offered by AI and stay current with the latest technological advancements. 

Best Artificial Intelligence Courses Online 2026

Udacity	Coursera	Oxford, GetSmarter	Udemy
Expand AI Knowledge	AI Foundations, IBM	Oxford AI Programme	AI from A-Z
Nanodegree	Specialization	Graduate Certificate	Course Beginners
$249/month	$49/month	$2,800	from $11.99
View Course	View Course	View Course	View Course

*Disclaimer: This post contains affiliate links. Read the full disclosure at the end of this post.

Below is a tour of the best artificial intelligence courses online, including career tracks and certifications in AI. These resources are curated for various demographics, including aspiring AI researchers and those new to the field.

1. IBM AI Engineering, Professional Certificate – Coursera

IBM’s professional certificate in AI (visit website) is designed to help aspiring learners jumpstart their careers by earning a vital credential. Comprising six AI courses online, IBM AI Engineering is an intermediate-level program directed both at novice learners and AI professionals in search of expansion in applied AI.

You can either opt for their individual artificial intelligence courses or master the entire certification. Some of the essential technical skills you are expected to gain are related to Data Science, Artificial Neural Networks, Programming, and ML.

Provider: Coursera | Duration: 8 months. 3 hours/week. Level: Intermediates
Price: Coursera Plus – $59/month with certificate.
Info: View course on Coursera. Browse: Search all AI courses on Coursera.

2. Agentic AI Nanodegree – Udacity

Udacity’s Agentic AI Nanodegree (visit website) addresses AI systems moving beyond single-task execution toward autonomous agents capable of reasoning, planning, and coordinated action.

This program responds to research indicating 61% of workers believe AI could replace current roles within five years, teaching how to build the autonomous systems driving that transformation rather than defending against it.

Four courses progress from advanced prompting to multi-agent orchestration. Prompting for Effective LLM Reasoning introduces Chain-of-Thought, React patterns, and feedback loops, enabling complex problem-solving. Designing Agentic Workflows explores routing, parallelization, and prompt chaining for agent coordination.

Building AI Agents with Tools covers function calling, Pydantic for structured outputs, state management, and connecting agents to external APIs and databases. The final module addresses Multi-Agent Systems, teaching architectural design for coordinated workflows and Python implementation.

Each course concludes with portfolio projects: multi-agent travel planners, agentic project management systems, and automated sales systems. The curriculum assumes Python proficiency, API familiarity, and prompt design comfort—this isn’t introductory material.

Instructors from Salesforce, Dell Technologies, HubSpot, and Intuit designed the framework-agnostic curriculum. The emphasis on coordinated agent systems rather than single chatbots positions this among the best AI online courses for developers preparing for production environments where autonomous agents handle complex, multi-step workflows requiring minimal human intervention.

Info: Visit Website. Udacity. | Time: 3-4 months | Capstone: Yes
Prerequisites: Python, API, prompt engineering
Price: from $249/month. Includes certificate.

3. Generative AI Nanodegree – Udacity

Udacity’s Generative AI Nanodegree (visit website) targets technical professionals seeking hands-on implementation skills rather than a conceptual overview. This four-month program requires intermediate proficiency in Python and SQL, distinguishing it from introductory AI online courses.

The curriculum addresses software engineers, data scientists, and ML practitioners specializing in generative AI applications. Four modules progress through practical implementation. Generative AI Fundamentals establishes how GenAI differs from traditional AI approaches.

From here, you’ll advance into Large Language Models and Text Generation, exploring transformer architecture, tokenization, and retrieval-augmented generation for custom chatbots. Computer Vision addresses image generation using Stable Diffusion for inpainting, while Building Generative AI Solutions integrates vector databases and lightweight fine-tuning methods.

Each module concludes with substantive projects requiring implementation beyond conceptual understanding. You’ll apply parameter-efficient fine-tuning to foundation models, create chatbots using RAG without full retraining, build AI photo editing interfaces, and develop end-to-end applications. Instructors from Meta, NVIDIA, DeepMind, and UC Berkeley provide practitioner-focused curriculum.

According to research by the Oxford Internet Institute, AI skills command average wage increases of 21% due to skill complementarity. The program includes project feedback from mentors, addressing gaps in asynchronous GenAI training.

Udacity emphasizes portfolio-ready implementations over theoretical knowledge, positioning graduates for roles that require deployment experience with foundational models.

Info: Visit Website. Udacity. | Level: Intermediate/Advanced | Capstone: Yes
Prerequisites: Intermediate Python & SQL | Duration: 4 months, 10 hours/week
Price: from $249/month. Includes certificate.

4. Artificial Intelligence – Udacity

Udacity’s Expand Your Knowledge in AI (visit website) is a nanodegree designed to help novice professionals gain a deeper understanding of the intricacies of AI. The popular program requires a dedicated study plan of 12-25 hours per week for three months.

Enrolling in the class will put you abreast of some crucial AI components, such as search, optimization, planning, pattern recognition, and others. Prerequisites include familiarity with Linear Algebra, Statistics, Calculus, and Object-Oriented Programming with Python.

In the introductory module, you will be required to use Constraint Propagation for creating an agent to solve Sudoku puzzles. From here, you’ll move towards building agents with human-like reasoning and symbolic logic. At the end of the course, you will encounter Adversarial Search and the fundamentals of Probabilistic Graphical Models.

Udacity’s programs come with additional tech support and career services that they claim help learners reach more tangible results. This is one of the best artificial intelligence courses online to add AI to your skillset and implement AI into your business routines.

Info: Visit website on Udacity. | Instructors: Peter Norvig, Sebastian Thrun
Prerequisites: Algebra, Calculus, Statistics, & Python
Capstone: Yes | Price: from $249/month. Includes certificate.

5. Google AI Essentials – Coursera

If you’re navigating the growing pressure to understand AI but lack technical training, Google AI Essentials (visit website) provides a practical starting point. This self-paced specialization targets professionals across industries who need AI literacy without the commitment of lengthy technical programs—no coding required.

Five modules move efficiently from concept to application. You’ll start by understanding what generative AI actually is and its limitations, then advance to the practical work: determining which tasks benefit from AI augmentation, crafting prompts that produce meaningful outputs, and identifying when AI results contain bias or inaccuracies.

The curriculum emphasizes hands-on learning—you’ll work with tools like Gemini to draft emails, organize information, and generate content ideas, developing skills that translate immediately to workplace scenarios.

What sets this apart is the focus on responsible AI use. Beyond prompt writing, you’ll learn to evaluate outputs critically, recognize security risks, and develop strategies for staying current as AI capabilities expand. The final AI course module addresses a question most introductory courses skip: how to maintain relevance in a field evolving this rapidly.

The Google credential holds weight—companies like Citigroup are integrating this into professional development pathways. At $59/month through Coursera, completable within one billing cycle, it’s positioned for professionals seeking competitive advantage in AI-aware roles.

Provider: Google | Duration: 10 hours. Level: Beginner
Price: Free audition. Coursera Plus – $59/month with certificate.
Info: View course on Coursera. Browse: Search all AI courses on Coursera.

6. AI Programming With Python – Udacity

Udacity’s AI Programming with Python (visit website) is a 3-month course on creating neural networks with Python and standard Python libraries such as NumPy, pandas, Matplotlib, PyTorch. The AI course will also drill you into the essentials of Linear Algebra and Calculus. 

Comprising five modules, the program will begin with an introduction to coding in Python, followed by an exploration of key Python tools and libraries, as well as Linear Algebra. In the last two modules, you will learn to plot neural networks by learning about foundations in Calculus, including derivatives, the chain rule, and plotting.

Although it is an introductory program, some formal prerequisites still apply. These include basic knowledge of Algebra, Calculus, and programming in any language. It is one of the top online artificial intelligence courses for careers in AI, utilizing Python.

Info: Visit Website. | Instructors: Ortal Arel, Luis Serrano | Capstone: Yes
Prerequisites: Basic Algebra, Programming Knowledge
Price: from $249/month. Includes certificate.

7. Generative AI for Everyone – Andrew Ng, Coursera

Here’s what Andrew Ng figured out: most people don’t need to code AI—they just need to understand it well enough to use it intelligently. That’s the entire premise behind Generative AI for Everyone (visit website), and honestly? It’s the artificial intelligence course online that non-technical professionals have been waiting for.

Three modules cover the essentials without drowning you in jargon. You’ll learn what generative AI actually is (and what it isn’t—important distinction), how to build effective prompts that get results instead of gibberish, and the lifecycle of a GenAI project from conception to launch. The final module addresses the elephant in the room: job displacement, ethics, and responsible AI implementation.

No coding. No prerequisites. Just six hours of clear explanations from someone who’s actually built this stuff.

McKinsey estimates that generative AI could automate 70% of business activities by 2030, resulting in $4.4 trillion in annual productivity gains. The question isn’t whether AI affects your work—it’s whether you’ll understand it well enough to stay relevant.

Andrew’s teaching style cuts through hype with practical frameworks. You’re not becoming an AI engineer; you’re becoming the person who knows when and how to deploy these tools strategically. Among the best AI courses online for non-technical minds, it requires no coding experience.

Provider: Coursera. Duration: 3 weeks. Level: Beginner
Provider: Google | Price: Free audition. Coursera Plus – $59/month with certificate.
Info: View course. Browse: Search all AI courses on Coursera.

8. Oxford Artificial Intelligence Programme – Oxford University

This 6-week program (visit website) is designed for managers and business leaders across various industry verticals who want to explore the workings and possibilities of AI. Technical working professionals, such as COIs, IT managers, and business analysts, who are curious about the workings of AI in organizations, can also apply. This is a non-technical program, so no coding is required.

You will begin with an introductory module on the Artificial Intelligence ecosystem, followed by a module on understanding the inner workings of AI. Next, learners will be required to master certain concepts in deep learning and neural networks before they can begin a discussion on intelligent machines in module four.

The final two modules, focusing on ‘ethics in AI’ and ‘AI applications in business’, will bring your learning journey to a productive conclusion. This is among the top AI online courses for business leaders who want to understand the opportunities in AI without needing to code.

Subject: Business, AI | Duration: 8 weeks | Certificate: CPD Certified.
Level: Professionals | Pace: Instructor-lead | Price: $3,300
Info: Visit course website. Get free prospectus. Browse all AI courses on GetSmarter.

9. AI For Healthcare – Udacity

AI for Healthcare (visit website) is a Udacity certification that focuses on applied AI in the healthcare sector to achieve transformed patient outcomes. With this program, Udacity hopes to bring learners to the forefront of the surging tech revolution in health.

Its other aim is to bring them up to speed on the various ways AI and ML continue to enhance decision-making and treatment accuracy. Prerequisites include an intermediate-level command of Python and some knowledge of ML.

Spanning over four modules, the program will take you through the process of learning, evaluating, and building predictive models that can transform patient outcomes. You will begin by learning to augment diagnosis by creating 2D and 3D medical images.

From here, you’ll venture on to optimizing clinical trial testing. Building on the concepts learne,d you will lastly create an AI-based algorithm that can estimate a patient’s pulse rate from the data collected from wearable devices.

Info: Visit Website. | Instructors: Nikhil Bikhchandani, Emily Lindemer
Prerequisites: Intermediate Python, ML Experience
Capstone: Yes | Price: from $249/month. Includes certificate.

10. Artificial Intelligence in Health Care – MIT

The MIT Sloan School of Management offers a 6-week AI course (visit website) for professionals in the healthcare sector who are curious to learn about the transformative role of AI and ML in this industry. Some of the key topics covered in the course include the basics of ML, neural networks, and deep learning. By the end, participants can directly apply their new knowledge to problems in the health sector.

You will start your learning journey with a study of the applications and foundations in AI and how AI can be used for diagnosis and patient monitoring. The next module deals with natural language processing and data analytics in healthcare, followed by the benefits and challenges associated with the interpretability of ML.

In the second-to-last module, individuals will learn about patient risk stratification and augmenting clinical workflows, followed by a discussion on integrated approaches to hospital management and optimization.

Upon completing the course, students will have a solid understanding of AI’s practical implementation and the associated challenges in healthcare. This is one of the top artificial intelligence courses online for healthcare professionals.

Subject: AI Health Care | Duration: 8 weeks | Certificate: CPD Certified.
Level: Professionals | Pace: Instructor-lead | Price: $3,250
Info: Visit course website. Get free prospectus. Browse all AI courses on GetSmarter.

11. AI For Medicine – Coursera

AI for Medicine (visit website) refers to the application of AI in the healthcare sector. Spanning three online AI courses, this Coursera program features peer-graded reviews, hands-on exercises, capstone projects, and a certificate upon successful completion. The entire specialization takes about 3 months to complete.

You will learn to diagnose x-rays from 3D MRI images, utilize 3D models for accurately predicting patient outcomes, estimate treatment effects from randomized trial data, and employ NLP to automate the labeling of medical datasets. Online courses are a natural extension of AI’s application in medical diagnosis, progressing to its role in prognosis and ultimately, treatment.

AI for Medicine is an intermediate-level AI online course and requires learners to possess a comfortable grasp of programming in Python, Statistics, and Probability. You can also follow a related specialization in Deep Learning, but it is not mandatory.

Duration: 3 months. 7 hours/week. | Level: Intermediate
Price: Free audition. Coursera Plus – $59/month with certificate.
Info: View course on Coursera. Browse: Search all AI courses on Coursera.

12. Become an AI Product Manager – Udacity

Udacity’s AI Product Manager (visit website) is designed for aspiring product managers with a strong interest in artificial intelligence. Enrolling in this AI course can help you either make a propitious career switch or gain a promotion. The path comprises four modules and averages 2 months for completion at a steady pace of 5-10 hours/ week.

A key component of this course is designing AI products that deliver significant value to the business. Drilling down into product management skills in your system will help you compete in the fast-evolving niche of AI. By the end of this AI course, you will understand the precise parameters that allow you to evaluate a product’s business value.

A series of modules is designed for operationalizing this goal. You will begin with an introductory course on the foundations of AI, followed by scoping and building data sets, training modules, and evaluating them for success. Later modules will teach you the value of scalability, potential biases, and compliance in successfully rating products.

Several review cases and interactive exercises will help you define these parameters above. You can also opt for related nanodegrees available on Udacity. While there are no hard and fast prerequisites for this online AI course, you will be expected to possess basic computer skills and online navigability.

Info: Visit Website. | Instructors: Alyssa Simpson-Rochwerger, Meeta Dash
Capstone: Yes | Prerequisites: None.
Price: from $249/month. Includes certificate.

13. AI for Business Leaders – Udacity

AI for Business Leaders (visit website) goes beyond the typical C-suite, reaching out to professionals associated with various tiers within an organization. Designed to empower corporate growth, this is one of the top artificial intelligence courses online, helping you master AI implementation to enhance efficiency and improve customer experience.

With a total of eight modules, AI for Business Leaders aims to instill foundational technical knowledge regarding AI and ML, as well as their business applications. You will gain a technical understanding of the valid questions and parameters that can help you evaluate the role of AI and its impact once it’s embedded within the corporate strategy.

Some key topics that you will cover include probabilistic reasoning, critical data attributes, machine learning model architecture, and its parameters. A capstone project at the end will provide you with the opportunity to put your learning to the test in a business-savvy way.

Prerequisites include a basic knowledge of mathematics and statistics, as well as prior exposure to these subjects in an academic or professional setting. You can easily complete this artificial intelligence course within 2 months when dedicating 5 hours of studying per week.

Info: Visit Website. | Instructors: William Ross, Luis Serrano | Capstone: Yes
Prerequisites: Statistics, Probability, and Business Experience
Price: from $249/month. Includes certificate.

14. AWS Certified AI Practitioner – Amazon Web Services

AWS Certified AI Practitioner addresses a documented gap: 73% of employers prioritize AI-skilled talent, yet three-quarters struggle to find qualified candidates. This foundational certification targets professionals who work with AI technologies but don’t build them—business analysts, project managers, marketing professionals navigating AI adoption in their organizations.

The exam spans five domains. Fundamentals of AI and ML establish baseline knowledge of machine learning lifecycles and AWS services like SageMaker. From here, you’ll advance into generative AI fundamentals, exploring transformers and prompt engineering with Amazon Bedrock.

The heaviest weighted domain addresses applications of foundation models—design considerations, training processes, and performance evaluation. Later sections emphasize responsible AI development, transparency, and security compliance for AI systems.

The AI certification assumes familiarity with core AWS services and six months of exposure to AI/ML technologies. The 90-minute exam consists of 65 questions, with a scaled score of 700 required for certification, which is valid for three years. This positions it as a strategic credential for business professionals requiring AI fluency without technical implementation responsibilities.

Provider: Amazon Web Services (AWS) | Duration: 90 min exam
Prerequisites: 6 months exposure to AI/ML technologies on AWS recommended
Exam Format: 65 questions | Certificate: 3 years valid.

15. Designing and Building AI Products and Services, MIT xPro, Emeritus

MIT’s Designing and Building AI Products is an xPRO course that covers design principles and the market-ready skills necessary to evaluate opportunities for AI solutions. In this AI course, technical product leaders, tech professionals, consultants, and entrepreneurs can advance their knowledge through crowdsourcing and demos.

The first half of this program guides you through the basics of machine and deep learning algorithms, focusing on Bayesian and regression models, neural networks, artificial neurons, and other related concepts. Once you tackle the pros and cons of AI technology, you’ll look at the techniques, applications, benefits, and limits of Human-Computer Interaction (HCI).

By studying HCIs, you’ll return to your job better able to strike the right level of machine involvement in interactions between humans and computers. Lessons cover superminds and how humans and machines can complement each other. You’ll also learn how AI and Generative Adversarial Networks (GANs) can create fake images/videos from real data.

This course offers an added benefit for your career, as the final module invites you to apply the Lawler Model to create an AI-based product proposal that you can present to your stakeholders and investors, along with your MIT xPRO certificate (and 5 CEUs!). Prior mathematical and statistical knowledge and basic Python experience are a plus.

Provider: MIT xPro, Emeritus | Time: 2 months | Certificate: Yes.
Level: Technology professionals | Pace: Instructor-lead | Price: $2,626
Info: Visit course website. Get free brochure. Browse full course catalog on Emeritus.

16. Azure AI Fundamentals (AI-900) – Microsoft

Here’s the thing about the Azure AI Fundamentals certification: it’s designed for individuals who work with AI teams, rather than being part of them. No coding required, no data science degree needed—just a genuine curiosity about how AI actually works in business contexts.

Microsoft designed this for business analysts, project managers, and decision-makers who are tired of nodding along in meetings while secretly wondering what “machine learning” actually means. You’ll explore five core areas: AI workloads, machine learning fundamentals, computer vision, natural language processing, and—here’s where it gets interesting—generative AI with Azure OpenAI Service.

The exam itself? 40-60 questions in 60 minutes. Straightforward, conceptual stuff.

What makes this one of the best online artificial intelligence courses for non-technical professionals is the ROI. Certified holders average $121,570 annually because organizations desperately need people who can translate between technical teams and business objectives. You’re not building the AI—you’re deciding where AI creates value and why it matters.

Think of it as becoming fluent in AI without writing a single line of code.

Provider: Microsoft. Duration: 60 minutes exam
Exam Format: 40-60 questions | Pass score ~700
Certificate: Microsoft Certified: Azure AI Fundamentals (non-expiring)

17. AI Machine Learning Engineering – Springboard 

Rated at 4.6 out of 5 stars, Springboard’s six-month artificial intelligence course is a curated career track program that offers 1:1 mentorship, along with an opportunity to process ML and AI essentials in a hands-on learning mode. Enrolling in this artificial intelligence course online will warrant you a job in machine learning within six months of graduating.

Coming out of this program, you will have acquired engineering skills, designed machine learning systems, and deployed an accessible running application.

Duration: 6 months | Certificate: Yes. | Info: Hands-on experience. Career support.
1:1 Mentoring: Yes | Job Guarantee: Yes | Price: from $1,490/month.

Choosing the Best Artificial Intelligence Courses Online

AI’s sudden surge in the last decade has resulted in several of its offshoots, including narrow AI, general AI, and applied AI. The latter is responsible for bringing AI into the real world, a development that has quickly upended traditionally enervating setups in fields such as finance, health, and retail.

Your shortlist of the best artificial intelligence courses online should consider the correlation between your current field of experience and the offshoots above, too. Once you are aware of the related subsets and fields within AI, you can leverage this knowledge to align the effort you are bound to put into these courses with your career aims.

Budget – Another critical factor to consider is your budget. Not only must you opt for AI courses that let you put your learning into practice, but you must also make sure that the course complies with both your learning potential and finances. Some platforms on the list, such as Coursera and Udacity, offer financial aid to eligible candidates.

Resources– Finally, reviewing additional notes, materials and books can help you choose the right fit. Since learning will be self-paced and independent, additional support can help you complete your online AI courses more quickly.

AI Courses Online 2026 – Review Verdict

Just because there is a sea of curated AI online courses does not mean you are destined for a fatal sway of indecisiveness.

The best approach would be to take your time reviewing, comparing, and contrasting the available information on these programs. Eventually, you’ll land a course that has all the proper credentials, including field application, projects, duration, and budget, to make it a win.

What is artificial intelligence (AI)?

Artificial Intelligence is the ability of computers to perform tasks that humans do. AI is demonstrated when cars can drive themselves without any human interference. Self-driving cars, for example, can detect objects around them and avoid collisions, while also processing large amounts of information quickly and deciding on the appropriate action to take.

What are the benefits of taking artificial intelligence courses online?

AI is an exciting field and the future of technology, with numerous applications in business, healthcare, and education. AI engineers are in high demand and can tackle real-life challenges, with access to exponential and lucrative career paths. Enrolling in one of the best artificial intelligence courses online can help kickstart such a career. It is usually cheaper than registering for a university degree.

What are the best artificial intelligence courses online in 2026? Are you considering a career in AI to develop autonomous vehicles, such as self-driving cars? Let us know in the comments below.

Here is a playlist of the best TED Talks covering artificial intelligence topics. If you prefer YouTube here are some noteworthy introductions and documentaries about the development of AI and its impacts on society. 1 | 2 | 3

Sources: What is deep reinforcement learning? – 1 | What is unsupervised learning? – 2 | What is cognitive learning theory? – 3

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