12 Best Free AI Courses With Certificates on Coursera, edX, Microsoft, IBM etc.
1. IBM Artificial Intelligence Foundations Specialization
Enroll for free.
Unlock your potential with AI.
Build job-ready AI skills to enhance your career.
For everyone. No prior AI background required.
This specialisation consists of three self-paced courses, each designed to be completed in about four weeks with 2-4 hours of study per week. The entire programme can be finished in 2-3 months at a relaxed pace or in just one month with more intensive study. The courses cover a range of topics, from AI basics to generative AI and chatbot creation, providing a comprehensive introduction to AI without requiring any coding skills.
Skills Gained
This specialization is designed for those with little or no background in AI, whether you have technology background or not, and does not require any programming skills. It is designed to give you a firm understanding of what is AI, its applications and use cases across various industries. You will become acquainted with terms like Machine Learning, Deep Learning and Neural Networks.
Furthermore, it will familiarize you with IBM Watson AI services that enable any business to quickly and easily employ pre-built AI smarts to their products and solutions. You will also learn about creating intelligent virtual assistants and how they can be leveraged in different scenarios.
By the end of this specialization, learners will have had hands-on interactions with several AI environments and applications, and have built and deployed an AI enabled chatbot on a website – without any coding.
Applied Learning Project
Learners will perform several no-code hands-on exercises in each of the three courses. At the end of the last course, learners would have developed, tested, and deployed a Watson AI powered customer service chatbot on a website to delight their clients.
Certification Details
Upon completing the specialisation, learners receive a verified digital credential from IBM, which can be shared on LinkedIn or added to a CV. This certification demonstrates expertise in AI fundamentals, generative AI applications, and chatbot development, providing a valuable asset for career advancement in the rapidly evolving field of artificial intelligence.
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2. IBM SkillsBuild Learning
Program for free.
Fairly broad IT and career building.
Best for beginners and managers who want to know what all the fuss is about.
IBM, of course, is IBM. It led the AI pack for years with its Watson offerings. Its generative AI solution is called Watsonx. It focuses on enabling businesses to deploy and manage both traditional machine learning and generative AI, tailored to their unique needs.
IBM SkillsBuild Learning classes offer a lot, providing basic training for a few key IT job descriptions -- including cybersecurity specialist, data analyst, user experience designer, and more.
Right now, there's only one free AI credential. That's the AI Fundamentals learning credential, which offers six courses. You need to be logged in to follow the link. But registration is easy and free. When you're done, you get an official credential, which you can list on LinkedIn.
Among these courses, The AI Ethics class is the most impressive. It is an hour and 45 minutes. Through real-world examples you'll learn about AI ethics, how they are implemented, and why AI ethics are so important in building trustworthy AI systems.
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3. LinkedIn's Free AI Courses
LinkedIn Learning is one of the original online courseware providers. Started almost 30 years ago by Lynda Weinman, the site was known as Lynda.com until it was acquired by LinkedIn in 2015.
Normally, the service costs $39/mo if you sign up to pay month-by-month, and $19.95/month if you prepay for a year. There are also team plans. However, as of today, LinkedIn is unlocking 250 AI courses for a month, so everyone can learn for free.
LinkedIn's offering of 250 AI courses for free is a rare opportunity for developers, recruiters, support professionals, accountants, and more.
2.1 General AI literacy
These two are courses that any professional can take to improve understanding of AI overall.
Integrating Generative AI into Business Strategy 4.7 stars (97 ratings)
In this course, Chris McKay presents a comprehensive guide for decision-makers to understand, assess, and implement generative AI effectively in their organization.
Building Career Agility and Resilience in the Age of AI 4.8 stars (244 ratings)
In this course, Chris Shipley examines how you can reimagine your career to adapt and find success in the age of AI. Chris takes you through AI technologies and how they may impact work, ways to proactively adapt to these technologies, and skills to develop a "future-proof career mindset."
2.2 AI courses for recruiting, finance, and support professionals
AI has some very special capabilities that can be applied in a wide range of professional fields. These three courses -- recruiting, support, and finance -- to show you how you can learn AI in the context of your profession.
Generative AI, Recruiting, and Talent Acquisition 4.7 stars (1,281 ratings)
Join Glen Cathey as he explores what's driving change in the world of recruiting and talent acquisition, and what's likely to happen in the future as generative AI and automation ripples across the space. Glen offers advice on navigating this complex, ever-evolving space as a hiring manager or recruiting lead, with tips on evaluating possible vendor solutions, incorporating new cutting-edge tools, and more.
Leveraging Generative AI in Finance and Accounting 4.7 stars (349 ratings)
This course provides a comprehensive exploration of generative AI in finance and accounting. Instructor Glenn Hopper covers the fundamental concepts, models, ethical considerations, and practical applications of generative AI, with a focus on financial forecasting and analysis.
ChatGPT Tips for the Help Desk 4.5 stars (47 ratings)
In this course, Pam Baker covers everything from using ChatGPT to help with strategic planning, prompt engineering, and agent scripting, to self-help repositories and problem resolution, as well as other topics of high interest to help desk managers.
2.3 For tech professionals and power users
These five courses for professionals who need to work with large language models (LLMs) to build or modify AI-powered business investments. You will need some serious geek cred as a prerequisite.
Generative AI: Introduction to Large Language Models 4.7 stars (1,274 ratings)
In this course, Jonathan Fernandes walks you through the key LLMs developed since OpenAI first released GPT-3, as well as the key contributions of each of these LLMs.
ChatGPT for Web Developers 4.7 stars (362 ratings)
Join Sandy Ludosky for an introduction to ChatGPT for web developers. Explore the basics of how ChatGPT works and how to start using it to generate code. Learn to converse with the ChatGPT UI to create fully realized web applications using JavaScript and ReactJS.
Join data scientist Alina Zhang as she creates three custom GPTs. Alina dives into innovative techniques, including the Pentagram framework for prompt engineering, chain-of-thought, few-shot learning, and user intent detection. She also provides strategies to safeguard against prompt injection attacks.
Securing the Use of Generative AI in Your Organization 4.8 stars (85 ratings)
This course equips you with the knowledge and skills to navigate the evolving landscape of AI security, enabling you to confidently leverage generative AI while mitigating risks, safeguarding sensitive information, and fortifying your organization's digital resilience.
Azure OpenAI: Generative AI Models and How to Use Them 4.8 stars (217 ratings)
In this course, Sammy Deprez introduces you to Azure OpenAI services and dives into the available models, including GPT models, embedding models, codex models, and DALL-E models.
2.4 AI courses for Python coders
Python is one of the most popular languages among AI developers. These four courses that can help you integrate your Python knowledge with AI. According to Ya Xu, VP of engineering and head of data and AI at LinkedIn, "Skills in key programming languages commonly used in the development of AI – Python, Java, and SQL – rank among the top five most sought-after skills on the technical side in the US."
Generative AI for Python Developers 4.7 stars (22 ratings)
Join Sandy Ludosky to learn how to use generative AI to create next-generation Python applications, including the OpenAI API, which allows you to build and customize your own AI assistant chatbot directly within an application.
Machine Learning with Python: Foundations 4.7 stars (4,060 ratings)
In this course, University of Notre Dame associate professor of analytics Frederick Nwanganga introduces machine learning in an approachable way and provides step-by-step guidance on how to get started with machine learning via Python.
SQL Server Machine Learning Services: Python 4.8 stars (494 ratings)
Adam Wilbert shows how to use high-performance Python libraries and the Machine Learning Services add-on, directly inside SQL Server to streamline statistical analysis, generate graphics such as scatterplots and bar charts, and process tabular data.
Training Neural Networks in Python 4.6 stars (219 ratings)
This course by Eduardo Corpeño teaches the inner workings of neural networks in Python, giving learners a chance to tap into the makings of algorithms and the steps needed to build and train their own neural networks from scratch using Python.
Certification Details
You can earn a Certificate of Completion from LinkedIn Learning when you complete a free AI course or learning path. To get the certificate, you need to watch all the videos and pass any associated quizzes or exams. Once completed, you can download the certificate from the course page on LinkedIn Learning.
4. Amazon's Free AI Courses
Amazon has course offerings for technical and non-technical audiences. For most of these, you'll need to sign into Amazon's AWS Skill Builder site. You can use your AWS account, or even sign in using your consumer Amazon account.
Want to learn more about AI but don't know where to start? Check out these free AI training courses from AWS. There's something here for everyone, from beginners to more advanced, and it won't cost you anything (but time).
Free AI courses for non-technical learners
Amazon provides a great overview for managers, decision-makers, and the AI-curious.
Introduction to Artificial Intelligence
This is a brief introductory course that explains what AI is, why it's important, and how it relates to machine learning and deep learning.
Introduction to Machine Learning - Art of the Possible
This is a quick, helpful course that explains the basics of machine learning and how to help evaluate the benefits and risks associated with adopting ML in various business cases. It will be an hour or so well spent.
Introduction to Generative AI - Art of the Possible
This distinguishes generative AI from machine learning and provides an introduction to generative AI, with details on use cases, risks and benefits.
This is a collection of free, brief, and easy-to-follow videos to help C-suite executives understand how generative AI can help address their business challenges and drive business growth. Each course is only a couple of minutes, and if you're willing to give up less than half an hour of your day, you'll come out knowing a lot more about what all the fuss is about.
Beginner AI resources for developers and other techies
These resources are suitable for folks starting out with AI. You'll need some quality tech and coding skills to understand what's going on here, but you can get a lot out of it even if you're completely new to AI.
This isn't a course as much as it's a hands-on learning lab. It's also free, but only to a point. Once you sign up, you get 10 hours and up to 30 days to use those 10 hours. After that, you'll need to sign up for a subscription. That said, you'll be able to squeeze a lot of learning from those 10 hours. DeepRacer lets you go hands-on with machine learning through a cloud-based 3D racing simulator, a fully autonomous 1/18th scale race car driven by reinforcement learning, and a global racing league. It's cool.
Amazon's Machine Learning University
This is a big win for learning. Amazon offers anyone, anywhere the opportunity to access the same machine learning courses used to train Amazon's own developers on machine learning. MLU provides a free, comprehensive self-service pathway to understanding the foundations of machine learning.
Amazon CodeWhisperer – Getting Started
This is a free, self-paced digital course introducing learners to Amazon CodeWhisperer, an AI coding companion designed to help developers get more done, faster. Learners are taught its capabilities, how to set it up, and how to begin using it in their programming language of choice.
Amazon Bedrock -- Getting Started
This is a free self-paced digital course introducing learners to Amazon's service for building generative AI applications. This one-hour course will introduce developers and technical audiences to Amazon Bedrock's benefits, features, use cases, and technical concepts. Bedrock was once an Amazon-only internal tool that's now available to anyone, so it's definitely worth spending the hour learning what it can do.
Intermediate AI resources for developers and other techies
Now, let's move on to what Amazon considers intermediate-level courses. There's a lot here.
Twitch Series: AWS Power Hour Introduction to Machine Learning for Developers
This is a recording of a Twitch-based learning chat series. It helps you learn the foundations of machine learning and get a practical perspective on what developers really need to know to get started with machine learning. It also teaches how you can leverage the power of machine learning and deep learning to make your applications more intelligent.
Generative AI Foundations on AWS
It's a free, on-demand technical deep-dive course designed for technologists already familiar with AI modeling. The course includes conceptual fundamentals, practical advice, and hands-on guidance to pre-train, fine-tune, and deploy state-of-the-art foundation models on AWS and beyond.
Generative AI with Large Language Models
This is a hands-on course that AWS jointly developed with DeepLearning.AI and Andrew Ng, a pioneer in machine learning and education. This is a three-week course that prepares data scientists and engineers to become experts in selecting, training, fine-tuning, and deploying large language models (LLMs) for real-world applications.
5. Microsoft Certified: Azure AI Fundamentals
Microsoft Certified: Azure AI Fundamentals is a valuable credential for individuals seeking to understand the fundamentals of AI and its application within Microsoft Azure. It validates your knowledge of AI concepts, machine learning, and related Azure services, making it a good starting point for those interested in pursuing more specialized AI roles like AI Engineer or Data Scientist.
Skills Gained
Microsoft's AI Fundamentals course offers a special introduction to artificial intelligence concepts and Azure AI services. The programme is designed for both technical and non-technical learners, making it one of the best AI courses for beginners. It combines instructor-led training with online materials on the Microsoft Learn platform, providing a blended learning experience.
Applied Learning Project
The course covers a range of Azure AI services, including Azure AI Vision, Azure AI Face detection, and Azure AI Language. Learners gain hands-on experience with these tools, exploring their capabilities in computer vision, natural language processing, and generative AI. This practical approach helps students understand how AI tools can be applied to real-world scenarios.
Certification Details
Upon completing the course, learners can take the AI-900 Microsoft Azure AI Fundamentals exam. This certification verifies knowledge of AI concepts and Azure services, covering topics such as machine learning, computer vision, and natural language processing. The exam consists of 40-60 questions and has a passing score of 700 out of 1000, making it an achievable goal for those new to AI.
6. Google: Google AI for Anyone
For free.
No prior experience required.
Progress at your own speed.
2 – 3 hours per week.
A course for anyone to learn what AI is and how it works.
Google's AI for Everyone course offers a comprehensive introduction to artificial intelligence, cutting through the hype to deliver practical knowledge. These free AI certification programs are designed for individuals without a background in computer science or mathematics, making it accessible to anyone curious about AI and machine learning.
As its name suggests, this course is for anybody -- you don’t need a computer science, mathematics or AI background to understand it. No programming skills or prior knowledge are needed.
Skills Gained
The course delves into fundamental AI concepts, including neural networks, types of machine learning (supervised, unsupervised, and reinforcement), and real-world applications like recommender systems and computer vision. Participants gain hands-on experience with data, learning how to teach computers to recognise images and sounds.
By the end of the course, learners will have a solid understanding of AI terminology, ethics, and fairness in AI applications. They'll also gain insight into AI programming and its practical applications. This knowledge equips participants to engage in informed discussions about AI and machine learning in both personal and professional settings, providing a strong foundation for further exploration of these emerging technologies.
Certification Details
After completion, you can add your Google AI Essentials Certificate to your resume and professional profile.
Enroll courses on Edx.org through Extrabux, you can get 10% Super Cash Back.
7. DeepLearning.AI's AI Courses
DeepLearning is an education-focused company specializing in AI training. The company is constantly adding new courses that provide training, mostly for developers, in many different facets of AI technology. It partnered with OpenAI (the makers of ChatGPT) to create a number of pretty great courses.
DeepLearning.AI offers a range of top AI courses for beginners and professionals alike. Their Deep Learning Specialisation, led by AI pioneer Andrew Ng, has attracted over 1 million learners. This comprehensive programme covers neural networks, machine learning, and practical AI applications. The Machine Learning Specialisation provides a foundational understanding of AI concepts through an intuitive visual approach.
Instructor Expertise
The courses are taught by industry experts, including Andrew Ng, who co-founded Google Brain and Coursera. Their instructors bring real-world experience and cutting-edge knowledge to the programmes, ensuring learners gain practical skills in AI tools and generative AI.
Practical Applications
DeepLearning.AI's courses focus on hands-on learning, allowing students to build and train neural networks, implement machine learning algorithms, and develop AI applications. Learners gain experience with popular frameworks like TensorFlow and explore areas such as computer vision and natural language processing.
Popular Courses
ChatGPT Prompt Engineering for Developers
Go beyond the chat box. Use API access to leverage LLMs into your own applications, and learn to build a custom chatbot.
Evaluating and Debugging Generative AI Models Using Weights and Biases
Learn MLOps tools for managing, versioning, debugging, and experimenting in your ML workflow.
Large Language Models with Semantic Search
Learn to use LLMs to enhance search and summarize results.
Certification Details
You can obtain a certificate after completing DeepLearning.AI's AI courses, particularly if you're enrolled in the paid version of the course or a Professional Certificate program. However, short courses may not offer formal certificates, but you will receive a congratulatory email upon completion.
8. Udemy AI Courses
Thousands of courses on AI alone.
Best for those wanting a deep and wide selection of AI topics.
Free trial, then $20/mo. Courses also sold individually.
Udemy is a courseware aggregator that publishes courses produced by individual trainers. That makes course style and quality a little inconsistent, but the rating system does help the more outstanding trainers rise to the top. Udemy has a free trial, which is why it's on this list.
One of the more interesting aspects of Udemy is that you may find courses on very niche applications of AI, which might not suit vendors offering a more limited selection of mainstream courses. If you have a unique application need, don't hesitate to spend some extra time searching for just the right course.
Popular Courses
Here are three courses you might want to check out:
ChatGPT Masterclass: ChatGPT Guide for Beginners to Experts!
Gain a professional understanding of ChatGPT, and learn to produce high-quality content seamlessly and grow earning potential.
Discover, Validate & Launch New Business Ideas with ChatGPT
Learn how to generate startup ideas, evaluate their potential, and test them with customers in real life.
Midjourney Mastery: Create Visually Stunning AI Art
Learn how to use Midjourney to create art.
Enroll courses on Udemy through Extrabux, you can get 25% Super Cash Back.
9. Google Generative AI for Educators
For free.
One AI course.
Best starting point for teachers.
Google's Grow With Google program offers a fairly wide range of certificate programs, which are normally run through Coursera. Earning one of those certificates often requires paying a subscription fee. Google Generative AI for Educators is aimed at teachers, and does not involve any fees.
The Generative AI for Educators class, developed in concert with MIT's Responsible AI for Social Empowerment and Education, is a 2-hour program designed to help teachers learn about generative AI, and how to use it in the classroom.
Certification Details
The course provides a professional development certificate on completion, and this one is free.
10. Udacity's AI Programming with Python
Develop a strong foundation in Python programming for AI, utilizing tools like NumPy, pandas, and Matplotlib for data analysis and visualization. Learn how to use, build, and train machine learning models with popular Python libraries. Implement neural networks using PyTorch. Gain practical experience with deep learning frameworks by applying your skills through hands-on projects. Explore generative AI with Transformer neural networks, learn to build, train, and deploy them with PyTorch, and leverage pre-trained models for natural language processing tasks. Designed for individuals with basic programming experience, this program prepares you for advanced studies in AI and machine learning, equipping you with the skills to begin a career in AI programming.
Nanodegree Programme
The Nanodegree programme spans several months, offering in-depth learning through practical projects. Students apply their skills to real-world scenarios, such as creating image classifiers and working with neural networks. This approach ensures learners gain practical experience with AI tools and concepts, preparing them for careers in the field.
Career Support
Udacity provides robust career services to help students transition into AI careers. These include personalised project reviews, access to industry experts, and guidance on building a professional portfolio. The programme also offers insights into the latest AI trends, helping learners stay current in this ever-growing field.
Enroll courses on Udacity through Extrabux, you can get 10% Super Cash Back.
11. Coursera's AI for Everyone by Andrew Ng
This course aims to demystify AI for non-technical professionals, making it accessible to everyone. It provides a 360-degree overview of AI technologies, applications, and societal impact. Learners gain insights into AI's potential and limitations, helping them identify opportunities within their own organisations. In this course, you will learn:
The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science;
What AI realistically can--and cannot--do;
How to spot opportunities to apply AI to problems in your own organization;
What it feels like to build machine learning and data science projects;
How to work with an AI team and build an AI strategy in your company;
How to navigate ethical and societal discussions surrounding AI.
Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.
Module Breakdown
The course covers AI fundamentals, machine learning concepts, and real-world applications. It explores topics such as data science workflows, AI project management, and the roles within AI teams. Learners also examine ethical considerations and potential pitfalls in AI implementation.
Real-World Examples
The course showcases practical Artificial Intelligence applications across various industries, including virtual assistants, self-driving cars, and healthcare. These examples illustrate how AI is transforming businesses and society, providing learners with a realistic view of AI's capabilities and limitations.
12. Harvard's Introduction to AI with Python
CS50’s Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own. What you'll learn:
Graph search algorithms
Reinforcement learning
Machine learning
Artificial intelligence principles
How to design intelligent systems
How to use AI in Python programs
Curriculum Highlights
The curriculum delves into core AI concepts, including graph search algorithms, classification, optimisation, and reinforcement learning. Students explore cutting-edge topics like game-playing engines, handwriting recognition, and machine translation. The course emphasises practical applications, enabling learners to incorporate AI principles into their own Python programmes.
Project-Based Learning
Hands-on projects form a crucial part of the learning experience. Students gain practical skills by working with machine learning libraries and designing intelligent systems. This approach allows learners to apply theoretical knowledge to real-world problems, preparing them for careers in AI and data science.
What's the benefits of taking AI courses?
There are many benefits of taking AI courses online. These courses teach a variety of AI applications and fundamentals, including in-demand skills that can make you a more desirable candidate for various career paths.
Most online AI and machine learning courses are free or nearly free, enabling you to gain new skills without paying for an expensive college education. What's more, the courses are often self-paced or highly flexible, allowing you to study on a schedule that works for you.
Finally, AI courses tend to focus on practical applications, helping students learn artificial intelligence processes without having to have a deep technical understanding or computer science background. This makes these courses highly accessible to the general public, helping them upskill and adjust to a world that is rapidly changing because of AI.
What Is the Best Certification To Get for AI?
There is no one online course or certification in AI that is considered ''the best.'' All of the courses outlined in this article provide high-quality training and skills in different aspects of AI, and they are all offered through respectable providers such as Google, Microsoft, and Coursera.
Where Can I Find Free Online AI Courses With Certificates?
There are various online sources that provide courses and certificates in AI topics. Some of these platforms are more dependable than others. Some of the best places online to find free online AI courses and certifications include Coursera, Alison, Google, and Microsoft. Note that, while the courses are typically free, you may have to pay a nominal fee for a certificate at the end of some of the courses.
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