Best Artificial Intelligence Courses, Certifications (December 2023)

Do you wish to be an AI engineer? You must understand very well that the demand for Artificial Intelligence engineers is increasing day by day. After the launching of ChatGpt and Brand – Google AI tool, most software developers and IT engineers are switching their careers to AI and machine learning.

Artificial Intelligence is an exciting term to understand as it was developed and being used to help human work efficiently by taking some of their tasks. AI robots are programmed and created to handle tasks which take a lot of time to complete by humans. If you are interested in building one, check out our article of the Best Artificial Intelligence Courses and Certifications.

Why study artificial intelligence?

With the exponentially growing market of Artificial Intelligence, the market value reached approximately $100 billion in 2023. As per a report from Grand View Research, It assumes that the AI market is expected to reach around $ 2 trillion by 2030.

With 10 years of experience, AI engineers charge up to $100 per annum, despite the fact that AI engineering is still a relatively new career path. The average salary for AI engineers in the US is $110K.
There are various industries such as aerospace, healthcare, automotive, and manufacturing that have adopted AI. To become a part of the AI world, you should check the compiled list of Best AI Courses Online.

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Best Artificial Intelligence Courses, Certification, Tutorials, Training, Classes Online

• Best Overall AI For Everyone by Andrew Ng [Coursera]
  
  
• Best Runner-up AI Engineering Professional Certificate [Coursera]
  
  
• Best for Manager Become an AI Product Manager Nanodegree Certification [Udacity]
  
  
• Best for Beginner Introduction to Artificial Intelligence by IBM [Coursera]
  
  
• Best for ML Machine Learning AI Certification by Stanford University [Coursera]
  
  
• Best for TensorFlow TensorFlow for Artificial Intelligence by deeplearning.ai [Coursera]
  
  
• Best Budget Option Artificial Intelligence A-Z: Learn How To Build An AI [Udemy]

AI For Everyone by Andrew Ng [Coursera]

Not only engineers are eligible for learning AI. Whether a technical or non-technical person, you can take this Artificial Intelligence Course Subject. It will help you to grow as an AI professional from a beginner. In this, you will learn AI terminology that includes neural networks, machine learning, deep learning, and data science. It gives the chance to understand what AI can do or can’t do.

Course Instructor

Andrew Ng is a Co-founder of Coursera and an Instructor of this Coursera AI for Everyone Course. He professionally designed every module to teach you how to spot opportunities and apply AI for solving business problems. You will understand how aspects of AI improve the performance of your organization in the high-tech world.

What You’ll Learn

This AI for Everyone Certificate Course is divided into 4 lessons to teach fundamentals of Artificial Intelligence in a simple way. 

• What is AI: This module will introduce the term AI and the common meaning behind this terminology.
  
  
• Building AI Projects: You will understand the workflow of machine learning and data science project. Also, this lesson explains how to choose an AI project and technical tools. 
  
  
• Building AI in your company: This course will help you understand how to work with an AI team and build an AI strategy in your company.
  
  
• AI and Society: As part of this course, students will engage in ethical and societal discussions about artificial intelligence in a variety of scenarios

Pros & Cons

Key Highlights & USPs

• This data analytics certificate course is for beginners who do not require any prior programming knowledge. Any learner with or without a degree is suitable.
  
  
• Give a brief introduction to machine learning, data science, and AI fundamentals. 
  
  
• Build your own machine learning and AI projects using technical tools.
  
  
• Transform your theoretical knowledge into practical performance using Case studies. 
  
  
• Get a chance to build an AI strategy for your company and work with an AI team. 
  
  
• Learn how to navigate societal discussions surrounding AI. 
  
  
• Free lifetime access to 35 lecture videos, 5 practice exercises, and 2 reading materials.

Who is it for?

This beginner online AI course is for non-technical and engineers who are willing to dive into the world of AI. You don’t need to have any prior knowledge to start with the free Artificial Intelligence course. Upon completion, you will gain enough knowledge about primary principles of AI and showcase your skills by sharing the digital certificate on your LinkedIn profile.

AI Engineering Professional Certificate [Coursera]

Launch your career with the IBM Artificial Intelligence Coursera. You will learn to get business insights from trillions of stored data using machine learning and deep learning. This AI Engineering Professional Certificate comprises six courses to equip you with AI tools and techniques. You will master the fundamental concepts of machine learning, including supervised and unsupervised learning. It will give you an overview of  Powerful Python libraries such as Scikit learn, Pytorch, Keras, and Tensorflow. 

Course Instructor

This AI Course was designed by data scientists and AI engineers at IBM, especially for students to advance one more skill. Every course will train and gain essential data science skills to scale machine learning algorithms on big data. You can get hands-on projects on big data using Apache Spark.

What You’ll Learn

This IBM AI Engineering Professional Specialization has 6 courses to help you launch your career as an AI engineer.

1. Machine Learning with Python: This course is all about machine learning and how to use algorithms. You will learn linear classification methods, such as support vector machines, logistic regression, and more.
   
   
2. Introduction to Deep Learning and Neural Networks: In this course, you will understand fundamentals of deep learning and difference between unsupervised and supervised learning models.
   
   
3. Computer vision and Image Processing: In this course, you will perform image classification and object detection using Python, Pillow, and OpenCV. A number of labs and exercises will be included in this hands-on course.
   
   
4. Deep Neural Networks with PyTorch: The course will teach you how to develop deep-learning models using Pytorch. The course will start with Pytorch’s tensors and Automatic differentiation and cover different models, such as Linear Regression, and logistic/softmax regression.
   
   
5. Building Deep Learning Models with Tensorflow: This course will explain Tensorflow concepts and how it can be used in curve fitting, classification, and more.
   
   
6. AI Capstone Project with Deep Learning: Learners will use their deep learning knowledge on real-world problems in this capstone project. They will create and test a deep learning model using a library of their choice. 

Pros & Cons

Key Highlights & USPs

• Get a general overview of machine learning with Python. 
  
  
• Introduce you to Deep Learning and Neural Networks with Keras. 
  
  
• Understand Computer Vision and Image processing using Jupyter Notebooks Labs. 
  
  
• Able to develop deep learning models using Pytorch. 
  
  
• Building deep neural networks with Tensorflow. 
  
  
• Apply deep learning expertise for the AI Capstone Project and solve a real-world challenge. 

Who is it for?

This AI Engineering Specialization is for intermediate students who have coding experience and advanced level math knowledge. You will learn everything from scratch and build essential machine learning skills. By the end of the specialization, you will be able to use SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow for Machine Learning.

Become an AI Product Manager Nanodegree Certification [Udacity]

Udacity Artificial Intelligence Nanodegree brings a must-learn opportunity to become an AI product manager. It will develop an understanding of common AI concepts and how to evaluate the business of an AI product. You will learn how to build a data set, train an AI model, and check the performance of business impact. This AI certificate program provides AI tools and techniques to ensure scalability, potential biases, and compliance.

Course Instructor

AI experts and data scientists at Appen created this Intro to artificial Intelligence Udacity. It is designed to develop AI products that deliver business value. You can build skills that help you compete in the AI-powered world. You get the chance to review case studies and to measure the business value for a proposed product.

What You’ll Learn

The Udacity Nanodegree Program includes 4 modules that cover all topics to build skills necessary to use AI applications for business.

1. Introduction to AI in Business: This module will discuss the fundamentals of artificial intelligence (AI) and machine learning.
   

2. Creating a Dataset: In this module, you will discover how to produce a high-quality dataset and understand how well the data corresponds to a specific use case.
   
   
3. Building a model: Understand how “training” functions and the neural network generates a judgment. Additionally, this module will explain how to evaluate a model’s performance and use training data.
   
   
4. Measuring Impact and Updating Models: This module will teach how to assess the effects of post-deployment changes and enhance your model using data.

Pros & Cons

Key Highlights & USPs

• Gain a deep knowledge of AI and machine learning to build a business case for an application and when it is used to AI in a product. 
  
  
• Learn how to create high-quality datasets and how well the data fits a particular use case.
  
  
• Understand how a neural network produces a decision and how to use training data.
  
  
• How to measure post-deployment impact and make data-informed improvements on your model. 
  
  
• Improve practical knowledge with the Capstone Project. 
  
  
• Get unlimited practical tips, feedback, practice exercises, and additional resources to enhance your technical power.

Who is it for?

To attain this Udacity Nanodegree Program, you don’t need to have a technical background. It is purely intended for professionals who are familiar with product management and data analysis concepts. By the end of this certification program, you will become an AI product manager who understands how to develop AI products and help any organization to compete in the new AI-powered world.

Introduction to Artificial Intelligence by IBM [Coursera]

Become an AI expert with Coursera AI Course. You will learn about what Artificial Intelligence is and get to explore applications of AI. You will explore the hottest technologies like machine learning, deep learning, and neural networks. IBM Artificial Intelligence Course will expose you to job opportunities and mentorship. You will get a chance to demonstrate AI with the help of a mini-project. 

Course Instructor

Rav Ahuja created this  Artificial Intelligence Course free to introduce the basics of AI and start a career. Students will gain their expertise to think about the future with AI. By the end, you will get trained to apply for other specialization or professional certificates.

What You’ll Learn

This Intro to AI Course is divided into 4 basic and simple modules to help students learn concepts in the simplest way.

1. Definition and Examples of AI: In this module, you will discover what AI is, understand its uses as well as how technology is altering our way of life.
   
   
2. AI Concepts, Terminology, and Application Areas: This module will introduce to the fundamentals of AI and understand how artificial intelligence (AI) learns and some of its applications.
   
   
3. AI Issues, Concerns, and Ethics: This lesson will discuss AI-related problems and worries and ethical considerations in the development and application of AI might benefit practitioners. 
   
   
4. The Future with AI: In the last module, This week, you will find out the latest theories on the application of AI and listen to experts’ advice on how to get started in the field.

Pros & Cons

Key Highlights & USPs

• Learn what are the use cases and how AI is transforming our lives. 
  
  
• Understand how AI learns and what some of the AI applications are.
  
  
• Describe several issues and ethical concerns that impact society and also inform discussions on the costs and benefits of AI.
  
  
• Gain a firm grasp on utilizing computer vision to classify images. 
  
  
• Get mentorship from AI experts about learning and how to prepare for your career in AI. 
  
  
• Full lifetime access to 30 videos lectures, 10 readings, and 6 quizzes to check your knowledge.

Who is it for?

This Artificial Intelligence Online Course is for everyone who wishes to build a career in AI. With successfully completing this free AI training course, you will develop confidence to pursue your career in AI and be prepared to take other courses in the specialization.

Machine Learning AI Certification by Stanford University [Coursera]

Stanford University introduces you to Machine learning and Artificial Intelligence concepts that are used by people every day. In this Machine Learning AI Certification, you will learn effective machine learning techniques and silicon valley’s best innovations in AI. It can take you from theoretical underpinnings to the practical implementation of powerful AI methods to solve problems. It covers broad topics such as data mining, machine learning, and statistical recognition.

Course Instructor

Andrew Ng, co-founder of Coursera, will teach you this Artificial Intelligence Course. He has expertise in deep learning and AI. He is the founder of deep learning.AI, a platform that has changed countless lives and also helps to establish a career in machine learning and robotics.

What You’ll Learn

This Machine Learning and AI Certificate Program comprises three modules to dive deep into machine learning and AI concepts. This course is part of the Machine Learning Specialization and it will prepare you for the other two courses.

1. Introduction of Machine Learning: This module will introduce you to machine learning and its fundamentals.
   
   
2. Regression with multiple input variables: This week, you will learn how linear regression handles multiple input features.
   
   
3. Classification: At the end of this week, try using logistic regression with regularization and learn about overfitting and how to tackle it with regression.

Pros & Cons

 

Key Highlights & USPs

• Give a brief introduction of the core concepts of AI and how computers work without being explicitly programmed. 
  
  
• Learn about linear regression with one variable.
  
  
• Gain a basic understanding of linear algebra to build models with multiple variables.
  
  
• Develop knowledge of Supervised and Unsupervised Machine Learning programs. 
  
  
• Understand how to implement the machine learning algorithms for programming implements. 
  
  
• Build neural networks for speech recognition and automatically read digits. 
  
  
• Get full access to 114 videos lectures, 86 reading materials, and 26 quizzes for building the practical performance. 

Who is it for?

Anyone can take this Artificial Intelligence Course and it does not require any prior experience in programming and knowledge of machine learning. You can easily become part of the world of Machine Learning by enrolling now. Upon completion of the specialization, you will master key concepts of machine learning and apply them on real-world problems. Take a look at the best machine learning courses to enhance your knowledge.

TensorFlow for Artificial Intelligence by deeplearning.ai [Coursera]

Before checking out this Coursera program, I would like to tell you that it is part of Deep learning. AI Tensorflow Developer Professional Certificate. You will learn only about how to use Tensorflow to implement Artificial Intelligence. Tensorflow is the open-source framework used for machine learning and building scalable AI-powered algorithms.  You will gain foundation knowledge of how neural networks work.

Course Instructor

Laurence Moroney will teach you the key principles of machine learning and deep learning. You will be guided all the way and build confidence to build machine learning models for solving real-world problems. It is one of the best Artificial Intelligence and machine learning courses in India to practice Tensorflow.

What You’ll Learn

This Introduction to TensorFlow for Artificial Intelligence Specialization includes 4 weeks’ modules to understand tensorflow for Machine Learning, Artificial Intelligence, and Deep Learning.

1. A New Programming to Paradigm: This module of the course will give you an introduction about Machine Learning and Deep Learning, how they offer you a revolutionary programming paradigm, and offer a set of tools.
   
   
2. Introduction to Computer Vision: This module will introduce you to Machine Learning and Deep Learning, an emerging programming paradigm.
   
   
3. Enhancing vision with convolutional networks: In the previous model, you worked on a basic neural network for computer vision. But it was naive in its approach.
   
   
4. Using Real World Images: The previous week you saw how convolution can be used to improve the results of deep neural networks. While the data you used was of very high quality, it was a very basic start. 

Pros & Cons

Key Highlights & USPs

• Learn best practices for using Tensorflow and train machine learning models. 
  
  
• Chance to train a neural network for a computer vision application.
  
  
• Get to build a basic neural network in the Tensorflow framework.
  
  
• Understand how to improve your deep neural networks using convolutions.
  
  
• Able to handle complex images using convolutional neural networks. 
  
  
• Free full access to 26 videos, 27 reading materials, and 13 quizzes to strengthen the skills.

Who is it for?

This TensorFlow for Artificial Intelligence Course is an intermediate-level learning program for professionals and graded students. By taking this certification program, you can develop a deeper understanding of neural networks and implement scaling models to real-world problems.

Artificial Intelligence A-Z: Learn How To Build An AI [Udemy]

Kickstart your career in AI with the best Artificial Intelligence Course. Udemy offers you an ideal platform to learn AI key concepts and write code from scratch. You can build your AI innovations to solve real-world solutions. This Artificial Intelligence Udemy Course will give you an AI adaptable environment to gain knowledge and get better results. You will combine the knowledge of data science, machine learning, and deep learning and apply them for powerful AI applications.

Course Instructor

This Udemy comprehensive course is created by a bunch of AI experts, tech entrepreneurs, and data scientists. It will help you to stay on the cutting edge of data science and technology.  By the end, it will transform you from a complete beginner to an AI expert. You will develop a deep understanding of what you are doing and why you are doing it.

Pros & Cons

Key Highlights & USPs

• This Udemy AI Online Bootcamp will teach how to build an AI with ChatGpt-4 in 22 sections and 128 video lectures.
  
  
• Learn to write codes for various purposes and AI applications.
  
  
• Build an AI application and make a virtual self-driving car.
  
  
• Know about Q-learning and deep convolutional Q-learning terms.
  
  
• Understand the complete theory behind Artificial Intelligence.
  
  
• Master the art of creating AI models and how to use AI for games. 
  
  
• Get downloadable Python code templates to practice the codes and improve your skills.
  
  
• Unlimited access to 21 articles, 2 downloadable resources, and 16 hours of on-demand video sessions.

Who is it for?

If you are interested in Artificial Intelligence and deep learning, this Artificial Intelligence Course syllabus is the perfect choice to start your journey. Instead of simply passing a glorified memory “test and forget” like most other courses, you’ll be skilled enough to create AI that is adaptable to any situation in real life. Check the best deep learning courses to understand more about this exciting field.

Artificial Intelligence Courses [Udemy]

Are you serious about learning Artificial Intelligence? You should check the top-rated artificial intelligence courses available on Udemy. You will get everything to start your journey. This most recommended platform gives you a chance to build your own AI and practice problem-solving. On Udemy, there is a wide range of diverse courses published and updated regularly related to machine learning, deep learning, and AI. 

Course Instructor

Instructors and Experts designed each course by keeping in mind the future of the technology and market. Some Industries are looking for more data scientists and AI professionals to handle the data and bring more AI applications to automate things. There’s a huge requirement for experts in the field of deep learning and AI. Every course will teach you something new present in this AI category.

Pros & Cons

Key Highlights & USPs

• Able to use AI for real-world applications and write programs to program the apps.
  
  
•  Easy to grasp a firm knowledge of all the fundamentals of AI.
  
  
•  Learn about new tools and hybrid AI models in the AI masterclass.
  
  
• Improve your practical performance by doing hands-on projects and working on real-world problems. 
  
  
• Develop a deep knowledge of AI by learning basic to advanced concepts. 
  
  
• Build and implement the most powerful AI model at home. 
  
  
• Get access to countless no. of quizzes, code templates, downloadable resources, articles, and hours of video lectures. 

Who is it for?

Udemy provides the Artificial Intelligence tutorial to become proficient in Artificial Intelligence. All the programs and certification courses vary at three levels: beginner, intermediate, and advanced. It would be helpful for you to learn to program and have basic knowledge of math before enrolling. You will be accredited with a certificate or get recognition after successful completion of any course from Udemy.

Advanced AI Tutorial: Deep Reinforcement Learning in Python [Udemy]

A complete guide is to master the Artificial Intelligence skill using Deep Learning and neural networks.  You will learn about the combination of deep learning with reinforcement learning that has been widely used in building self-driving cars, video games, and building AlphaGo. This top-rated Artificial Intelligence Course in India will teach you how to use supervised and unsupervised learning algorithms for data analysis and predicting the future using data. 

Course Instructor

This Advanced AI tutorial was created by Lazy Programmer Team, an AI and machine learning engineer with a 4.6 instructor review on Udemy. It helps you to extend your knowledge of deep learning and neural networks. It will train you to use OpenAI Gym and reinforcement learning fundamentals in a more complex environment. 

Pros & Cons

Key Highlights & USPs

• This Udemy Advanced AI Tutorial includes 12 sections and 79 video lectures to master AI using deep learning and neural networks.
  
  
• Learn to build different types of deep learning agents that include DQN ( Deep Q-learning) and A3C ( Asynchronous Advantage Actor-Critic). 
  
  
• Get a deep understanding of how to implement Q-learning with deep neural networks. 
  
  
• Able to use a special type of neural network called the RBF network. 
  
  
• How to apply a variety of advanced reinforcement learning algorithms to any problem. 
  
  
• Build policy gradient models with deep neural networks.
  
  
• Understand how to use convolutional neural networks with deep Q-learning. 
  
  
• Receive a certificate after successful completion and use it in your Job profile.

Who is it for?

This online Artificial Intelligence Course is for Professionals and students with strong technical knowledge and Python programming experience. This advanced course requires college-level math, object-oriented programming, and basic machine learning knowledge. After successful completion, you will be able to implement machine learning algorithms to AI and concepts used to build applications such as OpenAI.

Artificial Intelligence Course: Reinforcement Learning in Python [Udemy]

Artificial Intelligence has accelerated the future by reducing human efforts and using its power as human assistance to do complicated tasks. This Python Artificial Intelligence Course will open a new world to you. It will teach you reinforcement learning with two important concepts that are: supervised and unsupervised learning.  You will know about analogous processes used to program a machine to behave like a human.

Course Instructor

This Reinforcement Learning tutorial is taught by the Lazy Programmer Team. It tells how to use reinforcement methods for stock trading and building online advertising applications. They will help you to complete each topic and project to sharpen your expertise. 

Pros & Cons

Key Highlights & USPs

• This AI with Python Course will help you discover reinforcement learning theories and practical examples in 14 sections, including 111 video lectures.
  
  
• Learn to apply gradient-based machine learning methods to reinforcement learning. 
  
  
• Get a basic understanding of the relationship between reinforcement learning and Psychology. 
  
  
• Develop knowledge of reinforcement learning at a technical level. 
  
  
• Learn about 17 different reinforcement learning algorithms and implement them for automated decision-making.
  
  
• Work on a project to apply the Q-learning concepts to build a stock trading bot. 
  
  
• Full lifetime access to 14 hours of on-demand video and code materials.

Who is it for?

This intermediate-level AI course is intended for both professionals and students who are eager to learn artificial intelligence, machine learning, and deep learning. Regardless of whether your goals are to learn algorithms in traditional supervised machine learning, unsupervised machine learning, or even deep learning, you’re going to have a blast during this course.

Frequently Asked Questions

Conclusion

Hope you liked the article. I have discussed the key points of each course that can be considered to choose suitable for you. There are many courses available on different platforms. However, I tried my best to compile the Top Artificial Intelligence Courses and Specializations among the rest in a list. If there’s any course left, you can suggest it in the comment section. Good luck and Keep reading!