Artificial Intelligence, as the name implies, is a branch of computer science which is primarily concerned with the synthesis of human intelligence in an artificial environment such as in the case of smart - machines which are designed to think like human minds and imitate their actions.
Since the invention of modern computing, it has been shown that devices can be programmed to perform extremely complex tasks with considerable proficiency, such as finding proofs for mathematical theorems or playing chess.
Despite ongoing improvements in computer processing speed and memory power, no systems are yet to equal human versatility across broader realms or in activities involving a great deal of common knowledge
On the other hand, certain robots have surpassed human experts and specialists in conducting complex functions, so artificial intelligence in this narrow context can be used in applications as varied as medical care, computer search engines, and speech or handwriting recognition.
(Must check: Artificial intelligence vs Human Intelligence)
As technologies such as AI continue to grow, they will impact our lives in the most critical ways. Due to the immense strength that AI technology possesses, it's only logical that everyone wants to engage with it in some way, whether as a consumer or as a professional. So, it becomes almost necessary to delve into this sector.
Below are top 8 courses that may help you in understanding AI and its properties.
Top AI courses
Andrew Ng, through his classic machine learning classes, has encouraged millions of developers to learn about Artificial Intelligence and Machine Learning. He is also one of Coursera's founders, the head of Google Brain, Baidu's Chief Scientist, and the teacher of the world's most famous Machine Learning course.
Andrew Ng is the one to learn from, with huge AI ventures like the AI Fund and Landing AI under his influence. At the very least, when it comes to AI, machine learning, and deep learning.
This is the best artificial intelligence tutorial, and it's perfect for students studying computer engineering and language programming, as well as software developers who will potentially work with AI.
Machine learning, information representation, logic and probabilistic structures, robotics, natural language processing, and visual learning are among the topics included in the course.
(Must read: Machine Learning Tutorial)
Udacity's "AI Programming with Python Nanodegree" is an excellent beginner-friendly AI course. It's a three-month crash course on using Python to build machine or deep learning algorithms. Regardless of previous experience, Udacity welcomes all students into this programme.
However, a simple understanding of algebra and programming is needed. Learners who are unfamiliar with Python programming will enrol in Udacity's "Intro to Programming" course. This course covers general-purpose programming as well as all AI prerequisites.
During the three months that you will be enrolled in this course, you will discover a variety of important AI topics. Jupyter, NumPy, Anaconda, Pandas, and Matplotlib are only a few examples. Some of these subjects, as you might have noted, are about data science and data processing.
This curriculum does, in fact, cover a variety of data science topics related to machine learning algorithms. At first glance, these subjects will seem irrelevant to your objectives. However, once you begin to understand AI, you can know the significance of big data in AI.
This course is an excellent example of an artificial intelligence course. It's easy to understand, beginner-friendly, and entertaining. It isn't the cheapest of the lot, no doubt.
However, since it is dependent on a monthly fee, it opens up several possibilities. You will graduate in 1-2 months if you practise hard and complete the syllabus faster than anticipated. You will save one or two monthly instalments this way.
This course is designed for people who want to learn about artificial intelligence solutions and methods for solving business problems.
Following the discussion of the fundamental issues, you can learn about how AI is affecting various sectors, as well as the various methods that are used in operations to create effective solutions.
At the end of the class, you'll have a number of tactics under your belt that you can use to boost your company's efficiency.
This aids in the creation of AI models for managing consumer preferences. It employs a number of case studies to help you better grasp the problems you'll face in the real world. We get responses to our questions as well as feedback on our results from committed support.
Kiril Eremenko's Artificial Intelligence A-Z: Learn How to Create an AI is an excellent AI crash course. Kiril is the creator of SuperDataScience, a well-known data science online learning site.
This course will teach you how to develop AI prototypes for real-world applications using Artificial Intelligence techniques such as Machine Learning, Data Science, and Deep Learning.
(Also visit: Machine Learning vs Data Science)
Artificial Intelligence, how it works, and what it can do are some of the topics covered in the course. Intuition Q-learning, Deep Q-learning, and Deep Convolutional Q-learning are also examples of artificial intelligence designs.
In order to work with A3C, you must first learn how to use it. Control advanced AI models, create virtual self-driving vehicles, use AI programming to try and beat games, and use different AI designs to actively solve real-world problems.
After completing the course, candidates will use their comprehensive AI skills to develop and market real-world applications. They will also apply for positions in specialised AI programming and contribute to the real-world development of AI technologies.
This AI course is ideal for students who are familiar with C# and Unity and are involved in game creation. If you're unfamiliar with Unity, it's one of the most common game engines for creating a variety of video games, and it employs artificial intelligence to make games more challenging based on the player's skill level.
(Related blog: What is Game Theory in AI?)
If your non-player characters lack motivation and motivation and you're a game designer or artist, this course will teach you how to make them more realistic and convincing.
Penny, the course's lecturer, uses her critically acclaimed teaching style and experience from over 25 years dealing with sports, animation, and has published two award-winning books on games AI to expose the most common AI methods used for generating realistic character actions in games.
The course includes follow-along sessions that provide starter Unity asset files and tasks with solutions. Quizzes and challenge drills are sprinkled around to strengthen your learning and help you articulate what you've learned.
Google has created a training platform to help people recognise how Artificial Intelligence should be used to further the progressive agenda in our various cultures.
Google's developers designed it to be as user-friendly as possible, gradually providing you with compounding expertise on coding AI, finally bringing you to the point that you can code artificial intelligence systems on your own.
This is a Google-created collection of tutorials, manuals, and design overviews aimed at giving you a strong base in artificial intelligence and all topics relevant to it.
The course discusses topics including machine learning basics, AI exploration, recommendation systems, and data clustering, as well as how to test and debug machine learning and plan data, and how to use AI safely for the good of society.
All of the courses have sample codes, quizzes, and useful explanations to make artificial intelligence as simple as possible for beginners.
If you're looking for a free artificial intelligence course that can get you up to speed quickly, Google AI Education is the place to go. They're a decent blend of tutorials, hands-on programming lessons, and simple guides that you can use even after you've finished the course. As we discuss Google AI, learn about Google AI tools.
This AI course was also ranked first in a Forbes study, and with good cause. It is, without a doubt, one of the best free artificial intelligence courses available right now.
This is yet another great Coursera lesson on Artificial Intelligence. In this course, you'll learn what Artificial Intelligence (AI) is, how to use it, and how to apply it. You'll also learn about AI principles and terminology such as machine learning, deep learning, and neural networks.
The course discusses topics like using APIs, Python and IBM"s Watson AI service to create AI-powered programmes with minimal code.
In the absence of human customer service, use virtual assistants and chatbots to help consumers and clients.
Vision techniques are used to upload different concept and classification templates.
At the completion of this qualification course, students will have a thorough understanding of AI. They will apply for positions in Data Science, Machine Learning, and AI generation, among other fields.
Obtaining the IBM Watson AI and learning how to use it can also assist in the creation of higher levels of AI-generated assistance in their market.
Kirill Eremenko and his SuperDataScience Team have created yet another fantastic course on using AI to solve real-world business problems. If you're a businessperson or just want to learn more about how AI can improve you, this course is for you.
Artificial Intelligence and Machine Learning are portrayed as clearly as possible without being too complicated. I strongly advise industry professionals who want to develop their skill set and help their company use AI to read this book.
When it comes to social evidence, this course has over 14,000 students who have given it a 4.3 grade, which is incredible proof that it is a perfect course.
Any enterprise will benefit from Artificial Intelligence in three ways:
Business Processes Should Be Optimized
This course is curated for business-minded individuals who want to learn how to use AI to improve their company's sustainability and productivity.
To conclude, these courses have proven to be life-changing for many students as they now are employed in various sectors of AI. It has become a necessary part of society as the technology revolution is underway and AI will and is proving to be the biggest factor of this change.
Reliance Jio and JioMart: Marketing Strategy, SWOT Analysis, and Working EcosystemREAD MORE
6 Major Branches of Artificial Intelligence (AI)READ MORE
Top 10 Big Data TechnologiesREAD MORE
8 Most Popular Business Analysis Techniques used by Business AnalystREAD MORE
Deep Learning - Overview, Practical Examples, Popular AlgorithmsREAD MORE
7 types of regression techniques you should know in Machine LearningREAD MORE
Introduction to Time Series Analysis in Machine learningREAD MORE
How Does Linear And Logistic Regression Work In Machine Learning?READ MORE
7 Types of Activation Functions in Neural NetworkREAD MORE
Introduction to Logistic Regression - Sigmoid Function, Code ExplanationREAD MORE