Artificial intelligence, AI was introduced in 1956. It refers to the counterfeit of human intelligence. It is also called computational intelligence. The job titles and descriptions are software analysts and developers, computer scientists and computer engineers, Surgical technicians. So here is the list of Best AI (Artificial Intelligence) online Courses.

Best AI (Artificial Intelligence) online Courses

  1. AI For Everyone
  2. Introduction to Artificial Intelligence(AI)
  3. IBM AI Engineering Professional Certificate
  4. Artificial Intelligence A-ZTM: Learn How To Build An AI
  5. Artificial Intelligence: Reinforcement Learning in Python
  6. Advanced AI: Deep Reinforcement Learning in Python
  7. Machine Learning: Data Science and Deep Learning with Python

AI For Everyone

Coursera is an American online learning platform founded by Stanford professors Andrew Ng and Daphne Koller. It is one of the best course providers which any student or professional can rely on. It provides universal access to the world’s best education, partnering with top universities and organizations to offer courses online. This is not only for engineers. In this course, the explanation of the meaning behind common AI terminology, including neural networks, machine learning, and data science is given. The participants will learn what AI realistically can and cannot do, how to spot opportunities to apply AI to problems in your own organization. It is 100% online with flexible deadlines. The course starts with an introduction to AI, building AI projects, building AI in your own company, AI and how it is related to society.

Course Provider: Coursera

Rating: 4.8/5

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Artificial

Introduction to Artificial Intelligence(AI)

In this coursera, you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, and understand AI concepts and terms like machine learning, deep learning, and neural networks. The participants can expose to various issues and concerns surroundings AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You can also demonstrate AI in action with a mini-project. This course does not require any programming or computer science expertise. It is designed to introduce the basics of AI to anyone whether you have a technical background or not. It helps to understand what is AI, its applications and use cases and how it is transforming our lives. It explains terms like Machine Learning, Deep Learning, and Neural Networks. It describes several issues and ethical concerns surroundings AI, Articulate advice from experts about learning and starting a career.

Course Provider: Coursera

Rating: 4.7/5

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IBM AI Engineering Professional Certificate

Innovation in the field of Artificial Intelligence is rapidly changing in everyday life. It’s the main reason that it is creating an enormous opportunity for transforming entire industries and our very existence. After completing this comprehensive 6-course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning. You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutions Networks, Recurrent Networks, and Autoencoders. By the end of this Professional Certificate, you will have the ability to several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.

Course Provider: Coursera

Rating: 4.7/5

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Artificial Intelligence A-Z: Learn How To Build An AI(udemy)

In this course, you will learn how to build an AI, understand the theory behind Artificial Intelligence, make a virtual self-driving car, make an AI beat games, solve real-world problems with AI, master the slate of Art of the Art AI models, Q-Learning, Deep Q-Learning, A3C. It contains 19 sections, 117 Lectures. It helps us to learn how to start building AI with no previous coding experience using python, how to merge AI with OpenAI Gym to learn as effectively as possible, how to optimize your AI to reach its maximum potential in the real world. It involves complete beginner to expert AI skills, Code templates, Intuition Tutorials, Real-world solutions, In-course support.

Course Provider: Udemy

Rating: 4.0/5

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Artificial Intelligence: Reinforcement Learning in Python

In this course, you will learn to apply gradient-based supervised machine learning methods to reinforcement learning, understand reinforcement learning on a technical level, understand reinforcement learning on a technical level, understand the relationship between reinforcement learning and psychology, implement 17 different reinforcement learning algorithms. It includes 11 sections, 98 Lectures. It is a 10 hours on-demand video with full lifetime access. The topics covered in this course are the multi-armed bandit problem and the explore-exploit dilemma, ways to calculate means and moving averages and their relationship to stochastic gradient descent, Markov Decision Processes, and many more.

Course Provider: Udemy

Rating: 4.5/5

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Advanced AI: Deep Reinforcement Learning in Python(udemy)

In this course, you will learn to build various deep learning agents, apply a variety of advanced reinforcement learning algorithms to any problems, Q-Learning with Deep Neural Networks, policy Gradient Methods with Neural Networks, use convolution Neural Networks with Deep Q-Learning, Reinforcement Learning with RBF Networks. Tips: watch at 2x, take handwritten notes, write down the equations, write code yourself.

Prerequisites: College level math, Object-oriented programming, python coding, NumPy coding, implementation of dynamic programming, linear regression.

Course Provider: Udemy

Rating: 4.6/5

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Machine Learning: Data Science and Deep Learning with Python(udemy)

This course consists of 12 sections and 110 lectures with length 14 hours. It contains 6 articles. Machine Learning and Artificial intelligence are everywhere. if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insight from massive data sets, this data science course will give you the fundamentals you need. The topics covered in this section are Deep Learning, Transfer Learning, Sentiment Analysis, Image recognition and classification, Regression analysis, K-Means Clustering, Principal Component Analysis, Train/Test and cross-validation, Bayesian Methods.

Requirements: A desktop, prior coding experience, high school level maths.

Course Provider: Udemy

Rating: 4.5/5

Register Here

Here was a brief description of the Best AI (Artificial Intelligence) online Courses which can turn out to be really effective when learned with the true and required dedication. you can also go for other courses like 7 Best IoT Online Courses6 Best Online Cloud Computing Courses, etc. Happy learning.!

So this is the end of the post best AI (Artificial Intelligence) online Courses. Hope You Enjoyed it. Here are more Career Related Blog Posts.

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