Last updated on April 23rd, 2024 at 10:59 pm
Are you on the lookout for the best artificial intelligence courses online to accelerate your career journey in the tech industry? This article lists the 12 best artificial intelligence courses to study online.
Artificial intelligence is an emerging field in the world of technology, and it is now being adopted across various industries to streamline and increase the efficiency of any task.
I would say that AI is not the future – it is trending now, and learning this technology will help you in your career growth. However, choosing a perfect course to learn AI could be overwhelming, and this article will make this task simpler.
Check out this list of the best artificial intelligence courses and find out the right course for your learning.
List of the best artificial intelligence courses
1. Introduction To Artificial Intelligence (AI) – Offered By IBM
Introduction to Artificial Intelligence is a novice-friendly course by IBM on the Coursera platform. This course explains the basics of artificial intelligence, its applications, and how it is playing a crucial role in revolutionizing our lives.
You will learn about different branches of artificial intelligence, such as machine learning, deep learning, and natural language processing. You will be able to understand many issues and concerns that can be solved using AI.
Experts will describe the benefits of learning AI and building a career in this field. Finally, you will understand the current trends of AI and its future aspects.
Who is this course for?
Anyone who is looking to learn the concepts of artificial intelligence and apply them to solve real-world problems should join this course. To enroll in this course, no previous experience in programming or computer science is required.
If you are in the tech field and want to explore the subject of AI, then this beginner-friendly course will be suitable for you.
Course Highlights
Institution – IBM
Platform – Coursera
Level – Beginner Level
Instructor – Rav Ahuja
Duration – 8 Hours Approx
Rating – 4.7
Language Options – 22 Languages Available
Schedule Type – Flexible Scheduling
What you will learn
This course contains four modules in total, describing the concepts, use cases, and applications of artificial intelligence. The first chapter explains what artificial intelligence is and gives examples of its use cases and applications.
In the next chapter, you will learn about different application areas of artificial intelligence. Then, the course explains issues and concerns related to artificial intelligence. Finally, there will be a discussion about the current aspects and the future of AI.
By the end of this 8-hour course, you will have a better idea about artificial intelligence and various topics related to this field.
2. AI For Everyone – Offered by DeepLearning.AI
AI for Everyone is a course that describes the building blocks of AI technology and how to apply this technology to solve your problems. It describes how you can build an AI team and create a strategy for your company to maximize profits.
This course is a perfect choice for people who want to implement the techniques of AI in their businesses. Also, you will learn about societal and negative ethical discussions related to AI in this course.
Who is this course for?
As the title suggests, this artificial intelligence course is suitable for everyone who is interested in learning AI. It covers the topics that a beginner should learn about AI. Therefore, no prior experience in the field is needed to join this course.
It describes how to create AI projects and implement AI technology in a company. If you want to learn this, this course is for you.
Course Highlights
Institution – DeepLearning.AI
Platform – Coursera
Level – Beginner Level
Instructor – Andrew Ng
Duration – 6 Hours Approx.
Rating – 4.8
Language Options – 21 Languages Available
Schedule Type – Flexible Scheduling
What you will learn
First, you will be introduced to AI and the vocabulary of AI. Then, you will learn different concepts of AI, such as machine learning, and understand what it is and its ability to predict the outcome using the input data.
After that, the course describes how to build projects using AI. The next chapter explains how to develop AI in a company, build an AI team, and assign roles to the team.
The last chapter explains society’s perspective on AI and its applications, use cases, and jobs.
3. AI Foundations for Everyone Specialization – Offered by IBM
This specialization course explains that artificial intelligence is not future technology, but it is trending now and is in use in various industries. So, everyone needs to learn this technology and apply it to their work.
It doesn’t matter what you do or what experience you have, you can enroll in this specialized course and understand the concepts of AI. The course covers machine learning, deep learning, and neural networks.
It introduces the IBM Watson AI platform to learners and describes how to create AI models using this platform. Even you will do an applied learning project on a customer service chatbot using this platform.
Who is this course for?
The AI Foundations for Everyone Specialization course is a perfect choice for everyone who has an interest in this field and wants to learn the concepts of AI. One doesn’t need any experience to understand the concepts explained in this course.
This course is designed for absolute beginners who don’t know what artificial intelligence, machine learning, deep learning, and neural networks are. By the end of this course, pupils will understand several applications of AI and how to use AI in different environments.
Course Highlights
Institution – IBM
Platform – Coursera
Level – Beginner Level
Instructor – Rav Ahuja, Antonio Cangiano
Duration – 1 Month Approx.
Rating – 4.7
Language Options – 22 Languages Available
Schedule Type – Flexible Scheduling
What you will learn
This Coursera specialization program contains a series of four relevant courses about AI, starting from introduction to various concepts and building a project using artificial intelligence.
The first course is about introduction to artificial intelligence, which describes what AI is and different topics of AI such as deep learning, machine learning, neural networks, etc. Also, it contains expert advice for learning and creating a career in AI.
The following two courses explain the concepts of generative AI, its applications, and generating prompts using this. The last chapter discusses chatbots and enables you to create a chatbot using the Watson AI platform.
4. AI for Business Specialization – Offered by the University of Pennsylvania
This specialization program on Coursera explains the basics of artificial intelligence and how you can use AI in your business. You can learn about artificial intelligence, big data handling techniques, machine learning, and other topics that you can implement in your business.
This course describes how AI will help in workforce management, marketing, customer satisfaction, and other tasks in a business. It ensures that you learn various artificial intelligence strategies and incorporate them into your business for growth.
Who is this course for?
This specialized course is labeled as beginner-friendly and requires no experience in related fields to join. Anyone who is interested in learning about AI and wants to make smart strategies for their businesses can enroll in this course.
The course demonstrates the implementation of AI techniques in workforce management, marketing, finance, and governance, which will be helpful for any business. If you are like me, you will want to join this course and explore various AI strategies to implement in your business.
Course Highlights
Institution – University of Pennsylvania
Platform – Coursera
Level – Beginner Level
Instructor – Michael R Roberts, Kartik Hosanagar, Peter Cappelli, Kevin Werbach, Raghu Iyengar, Matthew Bidwell, Prasanna Tambe, Lynn Wu
Duration – 1 Month Approx.
Rating – 4.7
Language Options – 21 Languages Available
Schedule Type – Flexible Scheduling
What you will learn
The AI for Business specialization course is a combination of four incredible courses about artificial intelligence for business explained in a concise way. This series of courses is a perfect choice for anyone who is interested in learning artificial intelligence and applying those techniques in businesses.
The first course, AI Fundamentals for Non-data Scientists, covers the building blocks of AI, machine learning, and tools used in businesses such as Teachable and TensorFlow. Also, it covers the concepts of deep learning and how to build algorithms to analyze and handle big data.
Then, you will learn how to use AI for marketing, finance, governance, HR management, etc. By the end of this specialized course, you will have a better understanding of AI and be able to create AI strategies for your business.
5. Artificial Intelligence – Nanodegree Program
The Artificial Intelligence Nanodegree course is an excellent course to join and understand the concepts of artificial intelligence. It has a series of 9 courses, which you have to cover one by one to get the nanodegree certification from Udacity.
It is tagged as an advanced-level course and spans three months. To enroll in this course, you should understand object-oriented programming, python programming, linear algebra, data structures, Jupyter Notebook, basic calculus, basic descriptive statistics, differential calculus, and scripting.
Who is this course for?
People who are in the tech industry and want to explore the field of AI to advance their careers can consider joining this course.
If you have experience in Python and want to learn the concepts of artificial intelligence, such as machine learning, deep learning, decision-making, etc., this course will be suitable for you. Anyone who has experience in related fields can enroll in this course.
Course Highlights
Platform – Udacity
Level – Advanced Level
Instructor – Sebastian Thrun, Thad Starner, Peter Norvig
Duration – 3 Months Approx.
Rating – 4.5
Schedule Type – Flexible Scheduling
What you will learn
As I mentioned above, this nano degree program contains 9 different courses related to artificial intelligence. The first course is Introduction to Artificial Intelligence, which describes the fundamentals of artificial intelligence and creating a programming environment using Python to solve AI problems.
Then, there will be a topic on classical search that explains different search techniques, such as informed search and uninformed search. Other topics covered in this course are automated planning, optimization problems, adversarial search, fundamentals of probabilistic graphical models, etc.
By the end of this course, you will learn various skills related to these concepts.
6. Intro To Artificial Intelligence
Intro to Artificial Intelligence is a free course on Udacity that teaches machine learning, natural language processing, robotics, computer vision, and probabilistic reasoning. It comprises 31 brief lessons about artificial intelligence.
The free course describes every topic related to artificial intelligence so that learners will have a brief idea about this technology. By the end of this course, students will understand what artificial intelligence is and its applications.
Who is this course for?
This is an intermediate-level course and doesn’t require any prior experience in the field to enroll. However, having a brief idea about related topics will clarify the concepts.
Any person who is interested in learning artificial intelligence should join this course.
Course Highlights
Platform – Udacity
Level – Intermediate Level
Instructor – Peter Norvig, Sebastian Thrun
Schedule Type – Flexible Scheduling
What you will learn
This course begins with an introduction to artificial intelligence, explaining what artificial intelligence is and its importance.
Then, it discusses various topics such as problem-solving, probability in AI, machine learning, unsupervised learning, reinforcement learning, robotics, computer vision, etc.
7. AI Fundamentals
AI Fundamentals is another free course on artificial intelligence available on the Udacity platform. The course is created in collaboration with Microsoft and acts as a doorway for students to the world of AI.
You will learn about Azure Machine Learning and Azure Cognitive Services, which are cloud-based solutions of Microsoft. By the end of this course, you will be able to train and deploy machine learning algorithms using Azure Machine Learning.
Also, you will learn how to use Azure Cognitive Services for natural language processing, conversational AI, and computer vision.
Who is this course for?
It is a beginner-friendly course that explains the foundations of AI, so any student or professional who is interested in learning AI fundamentals can consider joining this course. If you want to learn the basic concepts of machine learning and artificial intelligence, you can try this course.
Course Highlights
Platform – Udacity
Level – Beginner Level
Instructor – Ciprian Jichici, Daron Yondem, Kevin Feasel, Kyle Bunting
Schedule Type – Flexible Scheduling
What you will learn
First, you will get an intro to the course and understand the fundamentals of AI with Azure. You will learn what artificial intelligence and machine learning are and their basics.
Then, you will go deeper into the concept of machine learning and learn how to build machine learning models using the Azure Machine Learning platform.
After that, you will understand the concepts of computer vision, natural language processing, and conversational AI.
8. Applied AI With Deep Learning – Offered by IBM
Applied AI with Deep Learning is an advanced-level course by IBM on the Coursera platform that discusses the concepts of deep learning, computer vision, and natural language processing.
This course is a vital section of the Advanced Data Science with IBM Specialization program on Coursera. If you are interested in earning a specialization certificate from Coursera in data science, you can join this program.
In the applied artificial intelligence with deep learning course, you will learn about the most famous deep learning libraries, such as TensorFlow, Keras, PyTorch, Apache SystemML, and DeepLearning4j.
If you are on the path of learning AI and want to start your learning with practical techniques to gain broad experience in the field, you can take this course.
Who is this course for?
Those who want to learn the applications of artificial intelligence from the perspective of deep learning will find this course very helpful. Also, if you want to learn about the trending deep learning libraries, this course will be the perfect choice.
Students should have Python programming skills, along with a basic understanding of linear algebra, to enroll in this course. You can join this course even if you have skills in any other programming language.
Course Highlights
Institution – IBM
Platform – Coursera
Level – Advanced Level
Instructor – Romeo Kienzler, Niketan Pansare, Tom Hanlon, Max Pumperla, Ilja Rasin
Duration – 25 hours approx.
Rating – 4.4
Language Options – 22 Languages Available
Schedule Type – Flexible Scheduling
What you will learn
This course contains four modules explaining different concepts related to deep learning. The first module covers the introduction part, describing what deep learning and neural networks are. It spans 6 hours and covers various aspects of deep learning that you need to know.
The second module covers different frameworks of deep learning and how to use them. This includes TensorFlow, Keras, PyTorch, Apache SystemML, and DeepLearning4J.
In the third module, you will learn about different applications of deep learning, and the fourth module covers the scaling and deployment part of deep learning. By the end of this course, you will learn different skills in deep learning and machine learning.
9. AI In Healthcare Specialization – Offered by Stanford University
AI In Healthcare Specialization is an innovative course that explains how artificial intelligence can transform the healthcare industry. It teaches how to recognize problems in the field of healthcare and solve them using machine learning models.
The course describes how to build a relationship among AI, medicine business, science, and practice and apply the fundamentals of artificial intelligence in the latest technologies.
Also, you will learn how artificial intelligence will affect the way the healthcare industry functions today for analyzing lab tests, patient visits, medicines prescribed, etc.
Those who want to learn how to implement artificial intelligence to perform different tasks in the healthcare industry should join this course.
Who is this course for?
This specialization course is beginner-friendly, enabling anyone to join the course and explore the process of applying AI techniques to the field of healthcare.
If you work in the field of healthcare and want to apply AI techniques to your work, this course will be the right choice for you.
Those who are in the tech field and want to participate in the advancement of the healthcare industry with artificial intelligence can consider taking this course.
Course Highlights
Institution – Stanford University
Platform – Coursera
Level – Beginner Level
Instructor – Matthew Lungren, Serena Yeung, Mildred Cho, Tina Hernandez-Boussard, Laurence Baker, Steven Bagley, Nigam Shah, David Magnus
Duration – 1 Month Approx.
Rating – 4.7
Language Options – 22 Languages Available
Schedule Type – Flexible Scheduling
What you will learn
This specialization program includes five courses that describe healthcare and computer science fundamentals and how to collaborate these two disciplines. First, you will understand the challenges in the healthcare system and the problems you may face to improve those.
Then, you will understand what medical data is and how to use that data ethically. You will be able to create a data mining workflow by the end of this section.
After that, the course covers machine learning and its fundamentals for healthcare. The next section explains how AI applications for healthcare have evolved and what you need to know to apply AI in healthcare.
Finally, there will be a capstone project, which you have to do by applying the concepts covered in this course. This will give practical experience in implementing artificial intelligence in healthcare.
10. Introduction To Generative AI – Offered by Google Cloud
Introduction to Generative AI is a unique course that describes what generative AI is and how it works. Also, it tries to showcase the difference between generative AI and traditional machine learning models.
In addition to that, you will also learn about some Google tools used to create generative AI apps. By the end of this small introductory course, you will have a better understanding of generative AI, its models, and generative AI apps.
Who is this course for?
Whether you are a beginner or someone who is in the industry and wants to understand what generative AI is, this course is a perfect choice. Any person who is interested in learning the basics of generative AI will find this course very helpful.
Course Highlights
Institution – Google Cloud
Platform – Coursera
Level – Beginner Level
Instructor – Google Cloud Training
Duration – 1 Hour Approx.
Rating – 4.6
Language Options – 11 Languages Available
Schedule Type – Flexible Scheduling
What you will learn
This course has one module which gives a basic introduction to the world of generative AI, its working, and its abilities. Also, the course explains the dissimilarities between generative AI and traditional machine learning methods.
At the end, you will get an introduction to various tools offered by Google that will help you create your own generative AI apps. This course spans for one hour and offers great introductory content about generative AI.
11. Generative AI for Everyone – Offered by DeepLearning.AI
The course Generative AI for Everyone is a popular course on Coursera offered by DeepLearning.AI. The course is taught by the AI expert Andrew Ng who explains the concepts of generative AI concisely.
Starting from introduction to various projects in generative AI and applications of generative AI in business and society are covered in this course.
It explains what generative AI can do and what it can’t along with some real-world applications of generative AI. You will also learn about various generative AI projects and have insights about how this technology will help solve complex problems in businesses and societies.
Who is this course for?
This course is novice-friendly and designed for people who don’t have any knowledge or experience in AI. This makes the course suitable for anyone who is interested in learning artificial intelligence.
Course Highlights
Institution – DeepLearning.AI
Platform – Coursera
Level – Beginner Level
Instructor – Andrew Ng
Duration – 5 hours approx.
Rating – 4.8
Language Options – 21 Languages Available
Schedule Type – Flexible Scheduling
What you will learn
This generative artificial intelligence course has 3 modules consisting of 31 videos, 8 readings, and 6 quizzes. The first module introduces generative AI which includes the definition, purpose, working, and applications of generative AI technology.
The next module is about different projects using generative AI where you will learn about various projects to do using this technology.
The final module discusses the use of generative AI in business and society. This explains how artificial intelligence will help solve various societal and business-related problems.
12. Generative AI – Nanodegree Program
The previous two generative AI courses were of beginner level and explained the purpose, working, and applications of generative AI, but this course discusses generative AI a step forward.
This nanodegree program has a series of 7 relevant courses that explain various aspects of generative AI to fill you with job-ready skills.
From the introduction to mastering large language models, creating images in computer vision, and implementing artificial intelligence in real-world applications, this course covers everything.
Therefore, it would be a great choice to take this course to build an exciting career journey in the field of generative AI.
Who is this course for?
This course is marked as intermediate level, so having some experience in the related field is essential to join this course. Students should understand intermediate Python and database fundamentals to enroll in this course.
People who are in the field of computer science and want to master generative AI can consider joining this course.
Even if you don’t have experience in related fields, you can learn the prerequisites first and then enroll in this course.
Course Highlights
Platform – Udacity
Level – Intermediate Level
Instructor – Brian Cruz, Emily McMilin, Victor Geislinger, Jason Lin, Erick Galinkin, Giacomo Vianello, Chuyi Shang, Annabel Ng, Derek Xu, Nathaniel Haynam, Valerie Scarlata, Chang She, Sergei Kozyrenko
Duration – 4 Months Approx.
Schedule Type – Flexible Scheduling
What you will learn
First, there will be an introduction to the course and nanodegree programs of Udacity, along with a few tips to succeed in an online course. From the second course onwards, the actual study of generative AI starts.
This describes the fundamentals of generative AI and their relationships with traditional artificial intelligence technology. For this, you will explore different generative models and how they work. Also, you will learn the concepts of deep learning and the technique of utilizing pre-trained open-source models to solve different problems.
Then, the course covers the concepts of large language models and text generation, describing the types of LLMs, their strengths and limitations, and the differences between them.
The successor part of this course discusses the process of creating stunning images in computer vision using generative AI.
After completing 4 courses out of 7, the 5th course will take you through the development process of AI models where you will gain practical skills in the field.
The next two courses guide you in your career, explaining how you can optimize your profiles for better results.
Conclusion
I have curated this list after evaluating various online courses based on factors like topics covered, institution, instructors, cost, platform, and level of the course. So, you will surely find a course that will suit your requirements.
If you find this article helpful, consider sharing it with your friends and colleagues.
FAQ
Can I learn artificial intelligence online?
Yes, you can learn artificial intelligence online through various learning platforms such as Coursera, Udacity, Udemy, etc.
Which online platform is best for AI courses?
Selecting an online platform for AI courses depends on various factors such as your skill level, learning goals, etc. So, you can choose a platform that offers the specific AI topic you want to learn.
Coursera offers a broad range of AI courses from reputable universities and organizations, so it is a great option for earning certificates. Udacity has its trademarked nanodegree programs on artificial intelligence. Udemy, DataCamp, and edX are also popular platforms to choose from.
Is AI a good career in India?
Yes, artificial intelligence is a promising career option due to the adoption of AI in a wide range of industries. The demand for AI professionals has been increasing in India.
What is the salary of an AI engineer in India?
According to GlassDoor, the average salary of AI engineers in India is around 25L per year, excluding additional cash compensations. The Average Base Pay ranges between 6L and 14L.
Can I learn AI and machine learning without math?
The straight answer would be no as a basic understanding of math is necessary to learn the concepts in artificial intelligence. One should know linear algebra, calculus, and probability theory to learn machine learning and artificial intelligence.
It should be considered as a prerequisite for joining this course, not as a barrier for beginners.
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