15 Free AI Courses for Beginners Online

Artificial Intelligence (AI) is the field of computer science that deals with creating machines capable of mimicking human Intelligence in performing tasks that usually require human involvement and intervention.

Artificial Intelligence encompasses various approaches and models; however, machine learning and deep learning have emerged as two prominent innovations within artificial Intelligence.

In this article, I’ll outline some of the top artificial intelligence courses & certifications available in 2023 for anyone or resources to attend every free AI Courses for Beginners Online. So, let’s get started.

Best Free AI Courses for Beginners Online

1. AI A-Z(tm): Learn To Craft An AI [Udemy] 

Do you want to discover the basics of artificial intelligence modeling?  In this course, Udemy offers all that and more!

If this describes you, this artificial intelligence course offers one of the finest to build an AI model from scratch and enhance your employability at tech companies such as Tesla or Google.

The following are a few highlights from this course:

  • An innovative online learning approach to artificial Intelligence. Use tools like OpenAI Gym, endorsed by Elon Musk, to create learning algorithms.
  • The practical hands-on approach features three real-life applications – such as creating your very own self-driving vehicle!
  • However, this class requires at least some prior experience with Python programming, making it less suitable as AI training online for novice developers. 
  • But for developers with prior programming knowledge, it can provide an ideal jumping-off point to achieve further success in AI application development quickly.

2. Artificial Intelligence in Web Design Certification (Special Edition) [Udemy]

This AI training course for AI-powered web design will enable you to rapidly build websites for clients while taking advantage of additional perks:

Learn artificial Intelligence online without prior coding knowledge in an accessible, fun way with this beginner-friendly course explicitly designed for novice programmers and website managers. Produce self-updating websites to reduce manual content updates and maintenance burden.

Discover the newest editing and prototyping trends and tools that enable you to build websites quickly.

It could not be better tailored for coding enthusiasts; however, if web development results are of paramount concern over code mountains in between, then this program is perfect!

3. AI for Everyone [Coursera] 

Are you tired of reading complicated AI tutorials? This course simplifies artificial Intelligence into concepts understandable even for newcomers to the field.

As part of their course highlights, some notable activities on campus included:

  • This course excels at connecting Artificial Intelligence (AI) to real-life business use cases and helping participants avoid failures due to AI in various workflows.
  • Reinforcement learning concepts will be explained using nontechnical examples that make sense socially, providing an approachable way of getting you going quickly and effortlessly.
  • Experienced AI instructors offer some of the finest AI training online to jump-start a tech career.
  • Engineers and advanced learners looking to dive deeper into AI may find this book lacking, though you might benefit from using it as a good refresher course.

4. Python for Data Science, AI & Development [Coursera]

Rapidly becoming one of the world’s premier programming languages, Python has made it one of the top online artificial intelligence course providers.

The course contents include:

How to construct a program using Python programming language. Python has long been considered a premier web development programming language due to its rich set of process control features yet easily understood syntax.

Your data sets for AI learning courses and projects will be easily collected with web scraping and APIs; practical work will include timed assignments to reinforce data science principles effectively. This course also features heaps of practical exercises -making for an efficient way of mastering Python.

Unfortunately, this course has become obsolete as IBM Watson has changed significantly since the course was created; nevertheless, it remains one of the premier generative AI free certification courses as it covers essential principles applicable across different IBM cloud tools.

Read More: Best Artificial Intelligence Tools to Increase Productivity 2023

5. Artificial Intelligence Foundations: Thinking Machines [LinkedIn]

Programming AI often contains potential pitfalls that prevent projects from working out as planned.

This online AI training offers comprehensive coverage of common AI programming challenges to help you efficiently build models according to your purpose and achieve successful models for everyday use.

Here’s what else can be expected:

  • This course examines the history and differences between strong and weak AI systems to give students insight into which type of resource-effective system best suits a wide array of potential AI applications.
  • This course covers machine and symbolic learning – critical aspects for understanding modern neural networks for AI model building – machine and extended learning, providing a free month trial period to assess if this meets your learning style online.
  • Course support may not be ideal regarding instructor availability; however, experienced professionals are readily available in the Q&A section, so it remains one of the premier artificial intelligence courses online.

6. Artificial Intelligence Foundations: Neural Networks [LinkedIn]

Are you curious about neural networks and their use in facial recognition or stock market prediction? Then this course is perfect.

This course covers configuring and implementing your neural network while employing backpropagation to eliminate errors and enhance accuracy.

Learning to classify and cluster massive data sets – something often encountered when working in real-world scenarios – while avoiding commonly associated problems is an excellent skill set to acquire when studying an IT degree program. With two CPE credits available, this AI learning course is a perfect complement.

No doubt there may be some mathematical errors to keep an eye out for when including bias into a first hidden network. However, these have all been addressed satisfactorily by our Q&A to guarantee you enjoy an unrivaled AI training online experience.

7. Artificial Intelligence (AI) for Career and Business Growth [Pluralsight] 

Are you considering AI as part of your professional or organizational advancement plans? Here is an in-depth introduction to its vast landscape, featuring Pluralsight presentations by industry professionals on AI for career advancement and business growth opportunities.

Here is one of the finest AI learning courses to get you started:

  • Understanding how to develop applications using various AI tools and resources so they align with business goals without outsourcing. Gaining insight into AI’s future to anticipate significant shifts that might impact your field.
  • With 17 years of industry expertise and 17 years of online teaching artificial intelligence courses, this course stands out amongst its counterparts as being among the finest online artificial intelligence classes, offering theoretical knowledge and real-world practical application.
  • However, beginner-level artificial intelligence learn online free like this one, may not offer the best AI education online if you are an intermediate or advanced learner. Although it touches upon many AI concepts superficially, this course still proves helpful as a refresher course.

8. Microsoft Azure Developer: Building AI Solutions With Azure Services [Pluralsight] 

Today’s offices rely heavily on Microsoft Azure services, making this artificial intelligence course one of the best to stay ahead in the business world.

This class provides:

  • An introduction to Microsoft Cognitive Services that allows you to leverage AI without needing an in-depth knowledge of machine learning for faster development processes.
  • An expert Microsoft Vice-President with eight years of experience will instruct this course, giving you access to the latest Microsoft Azure version and techniques for learning artificial Intelligence online.
  • Lessons include building simple Q&A bots and creating customized AI models to strengthen your portfolio.
  • About the best free AI courses online, this course serves more as an introductory class; nonetheless, it covers key subjects like bot framework. All developers may find this class beneficial.

9. Deep Learning and Computer Vision A-Z(tm): OpenCV, SSD & GANs [Udemy] 

Are you ready to expand your understanding of computer vision through powerful new methods? This course from Udemy offers just that opportunity!

It is considered one of the premier artificial intelligence courses online, with particular attention paid to its virtual wizard box feature as one stand-out element.

Here’s what else can be expected:

  • AI training courses explicitly designed to train novice AI users have made great strides in providing hands-on approaches to GANS, SSD, and object detection – including GANs/SSAs/ODs and object identification techniques over recent years. This free AI courses for beginners online ranks highly for beginners.
  • Practical examples and demonstrations on image generation and recognition help demonstrate how theory translates into real-world practice, making this course one of the top AI courses regarding practicality.
  • However, its source code may be somewhat dated about development environments; nevertheless, it provides a solid starting point upon which more modern examples can quickly be built and expanded.

10. Machine Learning Practical Workout with 8 Real-World Projects [Udemy] 

Are you seeking a machine learning course with high practical application? This Udemy offering features an intensive machine learning practical workout session!

As far as AI learning courses and machine learning training go, this class stands out. Its incredible array of real-world projects was imposing – over eight were covered, making this one of the finest artificial intelligence classes online!

This course covers (A) how to comprehend best and utilize neural networks – invaluable skills in data science projects, and (B) constructing prediction models using Prophet Time Series that will aid you in strengthening demand forecasting skills.

Among the key challenges are mastering natural language processing modeling to perform practical review analysis and implement an automatic email spam filter.

If you need help with mathematics, this course code might prove challenging as it features numerous detailed mathematical steps. But with its mathematical breakdown and advanced AI training programs available online for intermediate to advanced learners alike.

11. TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning [Coursera]

This course introduces TensorFlow as an AI learning framework/library that outshines many other frameworks/libraries typically taught.

Discover in greater depth:

  • Utilize TensorFlow’s best practices to speed up the model-building process using its lesser-known workarounds and create computer vision models using basic neural networks – an approach with great business potential for various business functions.
  • Important TensorFlow parameters that top AI courses may overlook will enable you to comprehend complex convolutional neural networks better.
  • However, you could need to catch up quickly if your Python programming skills need to be updated. But Python programming courses provide excellent value for intermediate learners looking for short yet intensive artificial intelligence courses online – or who don’t wish to spend too much time on the fundamentals.

12. Building AI-Powered Chatbots without Coding [Coursera] 

Are you new to artificial Intelligence but would still like to build intelligent chatbots? This course from Coursera may provide the ideal online artificial intelligence course for beginners.

Course highlights include:

  • Logical step-by-step methodology that makes learning artificial Intelligence online simple, including creating conversational AI using IBM Watson Assistant’s natural language processing features without writing one line of code.
  • Assignments provide an effective means of summarizing each chapter and testing your practical understanding of chatbot mechanics.
  • Unfortunately, some of the links provided do not correspond with the plugins you need for download, though this should be one of the top AI training courses for chatbots since such broken links are only a few and easily found online.

13. How Artificial Intelligence Can Aid Project Managers [LinkedIn] 

This class offers the highest AI training online for project managers. Here is how this course can benefit them:

By approaching AI disruptions from an entrepreneurial viewpoint, you’ll uncover new strategies for remaining relevant within any project management role.

Intelligent decision-making techniques in this course demonstrate how past project data can help assess risks faster, increasing approval and project success chances more rapidly than before.

With timely responses to all your inquiries and professional development units available to support career growth, this artificial intelligence course stands out among others online in this respect.

The course could benefit from offering more real-world applications and examples; however, AI training courses typically present students with real possibilities with immediate real-world applications.

14. TensorFlow Developer Certificate [Udemy] 

With TensorFlow, an open-source machine learning framework, a rigorous yet highly respected program aims to provide participants with the expertise and skills required to thrive in artificial intelligence. While catering to both beginner and experienced practitioners, this course covers AI fundamentals extensively.

Key aspects of the course:

  • An Introduction to TensorFlow: Participants start learning the fundamentals with an overview of TensorFlow’s architecture and basic operations.
  • Machine Learning Foundations: Covered in this course are fundamental machine learning principles, including unsupervised and supervised learning, neural networks, and deep learning.
  • Hands-On Projects: Other real-world AI applications include image recognition and natural language processing, in which students gain practical experience through hands-on projects.
  • Model Construction: Participants learn to develop, deploy, and optimize machine learning models using TensorFlow for design, creation, and fine-tuning; while applying techniques such as transfer learning.
  • Deployment: This course covers the deployment of TensorFlow models, helping students take their artificial intelligence solutions from development into production.
  • Advanced Topics: Advanced topics such as reinforcement learning, GANs (generative adversarial networks), and model optimization will be covered to give those seeking a deeper insight and in-depth experience.
  • Industry-Relevant Insights: Students gain insight into AI trends, best practices, and ethical considerations associated with machine learning technologies such as artificial intelligence.

15. Demystifying Artificial Intelligence: Understanding Machine Learning [Skillshare] 

Have you tried other artificial intelligence learning courses but found their topic too complex to comprehend? One of the best online artificial intelligence courses offering an approachable introduction could be this course from SkillShare.

The following are a few highlights from this course:

  • Experience artificial intelligence through engaging examples with Microsoft Seeing AI’s helpful tools, such as reading bar codes or improving workplace accessibility for all.
  • AI training courses should emphasize AI from an interface viewpoint rather than taking an exclusive data science approach to give newcomers to AI a more accessible entry point into this exciting field.
  • As for advanced learners, some may perceive that there may be limited actionable content; nevertheless, this course offers invaluable AI concepts and resources that have yet to be found even among some of the top AI courses online today.


Are You Ready to Kick-Start Your AI Journey?

Even from such a short list of top free AI courses for beginners online, selecting the most fitting AI classes for yourself and your needs can still prove challenging.

If you are new to AI, start slowly by enrolling in one of the beginner-oriented AI For Everyone courses – perfect if your back involves something other than evolving technical components.

All in all, each of the Best AI courses online free in 2023 that we reviewed today can help you develop various essential AI skills in diverse AI niches.


Does Coding Need to Learn for Machine Learning? 

Coding is an indispensable skill required by machine learning. Machine learning entails developing algorithms to predict or make decisions from data. To implement such algorithms, programming skills must be acquired to write code that preprocesses data, builds machine learning models, evaluates their performance, and performs further evaluation tasks. Python has emerged as the go-to language due to its many libraries and frameworks suited for this process; nonetheless, coding remains essential regardless of which programming language you choose for machine learning purposes.

Is Python Necessary for AI and ML?

Though not mandatory, Python is highly recommended as part of any AI/ML endeavor. Python’s popularity in this community stems from its ease of use, extensive libraries, and active user base – many AI frameworks such as TensorFlow and PyTorch use Python-based technologies; other options like R or Julia may exist but tend not to be widely adopted within it compared to its use for machine learning applications like AI/ML projects compared with Python being preferred over most practitioners’ requirements when working in AI/ML projects.

Are Java or Python the better options for Artificial Intelligence applications?

Python is considered an optimal language for artificial intelligence and machine learning compared to Java, thanks to its ease of use, readability, and wide selection of libraries targeted explicitly for these tasks (TensorFlow, Keras, and sci-kit-learn come to mind). Furthermore, its large community provides ready access to resources like tutorials and support needed for AI/ML projects, whereas Java could theoretically work just as well in this regard if suitable libraries weren’t readily available – something which makes Python much more preferable than its competitor Java could only do as such tasks if more suitable libraries existed as possible (i.e., not so).

Leave a Comment