There's nothing wrong with upskilling, and with today's rapid developments in AI/ML, it's important to acquire the skills you need to work with (or build a career in) AI.
The field of AI is limitless and there's countless things to learn, but these courses will give you a head start. Whether you're non-technical or have a technical background, these courses are designed to cover the basics.
The best part is that all our courses are completely free and will help you gain knowledge and experience, some of them even come with certifications that will help you in your career.
So, without waiting any further, here are the best free AI courses.
1. Generative AI for everyone
Supervised by DeepLearning.AI and taught by one of the most highly rated professors, Andrew NgGenerative AI for Everyone is a great introduction for most beginners.
Easy to understand, this course is divided into three modules that will teach you the basics, and after you complete this course you will have an understanding of large scale language modules, deep learning, and generative AI skills.
It guides you through tasks in your daily life that require generative AI capabilities. Once you complete the course, you'll be able to leverage AI in your work. The course is free to access on Coursera, but if you want certification you'll have to pay a fee.
highlight:
- Certification Courses
- Beginner-friendly
- Quizzes and assignments
2. Introduction to Generative AI
Introduction to Generative AI is a free introductory course from Google. It's a great introductory course for anyone who wants to learn how AI works without needing to be highly technical. In this course, you'll learn how Generative AI works and how it differs from other machine learning mechanisms. This course also teaches you how to use Google AI tools.
This course consists of one hour of content and you will receive a completion badge upon completion of the course.
highlight:
- Beginners Course
- Not so technical
- short period
- Learn Google AI Tools
3. Introduction to Artificial Intelligence with Python
The renowned Harvard University CS50 Introduction to AI with Python will give you skills in many fundamental AI tasks. This course is a prerequisite to the most popular online IT course, CS50, taught by the same professors. David J. Malan He is also one of the most prominent computer scientists.
The course spans seven weeks and covers topics such as AI algorithms, game play engines, handwriting recognition, and machine translation. You should dedicate about 10+ hours per week to complete the course. This is a beginner-friendly course, but reviewers note that if you know the Python programming language (or any other programming language), you should be able to complete the course faster.
It is available through edX, and if you want a certificate at the end of the course (optional), you will have to pay a fee.
highlight:
- Learn more
- At your own pace
- Intermediate Course
Recommended reading 📖
Top 5 AI Browsers for Linux
These are browsers on Linux that are powered by AI capabilities. Are you for or against?
4. Practical Deep Learning
fast.ai has developed a hands-on deep learning course that will turn anyone with some coding experience into an industrial-level AI developer. Throughout the course, you will learn about computer vision, NLP, collaborative filtering, and more, and will also use many advanced techniques.
Interesting fact: Students of this course have developed AI algorithms that outperform Google's algorithms. Moreover, this course has received testimonials from many renowned universities and professors.
highlight:
- 7-Week Course
- Professional Learning
- Unbelievable testimony
- Learn about various machine learning techniques
5. AI chatbots that require no programming
Some of the first AI models made publicly available were chatbots, and IBM's Zero Code AI Chatbots provide the opportunity to build chatbots without requiring any programming knowledge.
The course is mostly codeless, using IBM's own assistant Watson as the backend for the bots you develop, making the course beginner-friendly and helping kids and students with no programming experience to get interested in AI.
It is available on the edX platform and access is free, with an optional premium if you want a certificate.
highlight:
- Beginners
- cordless
- Learn how to design a working chatbot
6. Transform your business with AI
If you want to learn something specific to your business, such as a focus on Microsoft AI tools and implementation, then “Transform Your Business with AI” is the course for you.
This course focuses on how Microsoft is incorporating AI into its tools, products, and services, and also teaches you how to create an AI framework. The course consists of four modules, all of which can be completed in about three hours.
highlight:
- Learn how to integrate and leverage Microsoft AI in your business
- Short Course
- Learn about Microsoft's AI tools
7. Data Science: Machine Learning
This is the second entry in the Harvard University course on our list. Unlike the other courses, this one has little to no prerequisites. Here, you will learn the basics of machine learning and many common machine learning algorithms.
At the end of the course, you will learn how to build a movie recommendation system and perform cross-validation to avoid overtraining, all of which will help you build your AI projects and master machine learning.
highlight:
- Beginner Course
- It only takes a short time of 2-4 hours a week
- Building a recommendation algorithm
8. Deep Learning for Natural Language Processing
This course from Stanford University, available for free on YouTube, is designed for anyone wanting to master human language processing in AI models. It teaches you about deep learning and neural networks, and by the end of the course you'll be able to create your own NLP models.
However, you will need skills in Python, calculus, algebra, probability and statistics, and basic machine learning. This course is not for beginners, but it will give you specialized skills in NLP.
highlight:
- Many prerequisites
- Intermediate level
- Taught by world-class professors
9. Generative AI Basics: Overview and Impact
A free online AI course from the University of Michigan that focuses on generative AI capabilities, using tools such as ChatGPT as examples.
Generative AI Essentials is a short course (3 hours of content) that helps you gain a better understanding of Generative AI tools, how they work, and why they can be useful. You can access the course for free on Coursera. To get the certification, you will need to pay a fee.
highlight:
- Beginner-friendly
- No technical background required
- Incredibly short
Recommended reading 📖
10 AI-based search engines we've tested recently
Nobody is happy, but here they are, so let's take a look at some AI search engine options.
Bonus: AI Elements
Elements of AI is a website that offers free online AI courses for non-technical readers. It is an initiative by the University of Helsinki and MinnaLearn.
You can learn the fundamentals of AI, how to build it, and how to use it in your business.
AI Certified
Once you've learned about AI, you may need a way to prove your AI proficiency, and that's where certifications come in. Below we've listed some AI certifications you can earn to break into the industry.
📋
Certifications are completely optional and some can be expensive, so do your research before getting certified.
1. Generative AI LLM
This certification from NVIDIA helps validate your skills related to the fundamental concepts of creating, integrating, and managing AI-powered applications using NVIDIA products that use generative AI and large-scale language models (LLMs).
Course Cost $135 It consists of 50 questions that must be answered within 1 hour. This certificate can be completed in up to 2 years Once you take the exam.
2. Microsoft Certified: Azure AI Fundamentals
Microsoft's AI certification exams are a great way to showcase your skills in machine learning and Microsoft Azure related services, and passing the exam may also qualify you for ACE College Credits for additional college credit.
Cost Calculation $99This assessment is 45 minutes long, is a closed-door exam, and is available in multiple languages for candidate convenience.
3. AWS Certified AI Practitioner
Amazon Web Services is known for many things, including, of course, its AI and ML certifications. The exam tests various fundamentals of AI, from use cases to security and compliance of AI systems, which also opens the door to multiple AI jobs.
The exam is available in English and Japanese. $75 The exam is 120 minutes long and consists of 85 questions.
summary
These courses and certifications will help you kickstart your career in AI/ML or become proficient in using AI tools to increase productivity and integrate them into your business.
There are technical and non-technical courses in AI. You can choose a course that fits your use case and your technical skills (if any). Some courses are advanced and some are for complete beginners, so choose the one that's best for you.
💬 I hope all these AI courses will help you on your learning journey. Have I missed out on your favorite course? Let me know in the comments!
Author Information
Swayam Sai Das is a student exploring the world of Linux. Intern Writer It's FOSS. He is passionate about climbing the ranks in FPS games and enjoys reading classic literature to maintain an academic appearance.
