By enrolling this course you’ll learn data science, machine learning, deep learning, and powerful AI in the all-in-one and complete course. Once enrolled, you can access the course at your own schedule. This course, Artificial Intelligence A-Z™: Learn How To Build An AI, is created in a collaboration with the AI entrepreneur of Hadelin de Ponteves, the data scientist of Kirill Eremenko, and the SuperDataScience team. We’ll learn all things about Artificial Intelligence.
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About The Best Selling Artificial Intelligence Course
In this Artificial Intelligence A-Z™: Learn How To Build An AI course, we’ll learn about all fundamentals and key concepts of AI, improve and master AI for a rang of purposes. We’ll learn to build AI using Python, merge AI with OpenAI Gym, and optimize our AI to discover its maximum potential in the real world. Then we’ll learn about machine learning, deep Q-learning, deep convolutional Q-learning, and Q-learning. Finally, we’ll learn everything about A3C, A3C intuition, A3C implementation, A3C visualization, data science and the powerful artificial neural networks.
Some details of the Artificial Intelligence A-Z course:
- Course name: Artificial Intelligence A-Z™: Learn How To Build An AI
- Authors: Hadelin de Ponteves, Kirill Eremenko, and SuperDataScience Team
- Rating: 4.4 (10,310 ratings)
- Popularity: 91,651 students enrolled
- Ranking: Bestseller
- Language: English and closed captions, and French
- Last updated: 6/2019
- Video: 16.5 hours of on-demand video
- Resources: 16 articles and 1 downloadable resource
- Content: 116 lectures in total
- Guarantee: 30-day money-back guarantee
What is the requirement?
To learn the Artificial Intelligence A-Z™: Learn How To Build An AI course only requires us have the basic knowledge of Python programming and high school level of maths. So, here is a right place to get started if you like to get you quickly up to speed with all things AI
Who are the targets?
This Artificial Intelligence A-Z™: Learn How To Build An AI course is designed for anyone who want to know more about AI, machine learning and deep learning. Thus, If you’ve been always seeking to learn all things AI but don’t know how to get started, don’t miss out on the bestseller at Udemy,
After completing this course, you’ll:
- Feel more confident while working with AI for any purposes
- Be able to create a virtual self driving car
- Get a depth understanding of the key theory and concepts behind Artificial Intelligence
- Master Q-Learning, deep Q-Learning, A3C and deep convolutional Q-Learning
- Be familiar with the Python code templates
- Be able to use the AI technology to build up your own intuition
- Unleash your potential and imagination in the world of Artificial Intelligence
- Master the real-world solution and feel more effortless while working with Artificial Intelligence
- Master the art AI models and be proficient in solving real world problems with AI
- … much more
Learn More About AI and Check Artificial Intelligence Review
In this Artificial Intelligence A-Z™: Learn How To Build An AI course, you’ll get a complete boot camp to learn all things AI. Artificial intelligence, what it is and why it is seen as a future of world? Lot more has to be searched about it but till now we have seen the basic concept of AI and its applications around us. The technology is becoming a new favourite of world and thus many more industries and institutions want an AI based application. If you simply ask its definition, then we can term it as an ability of a computer to do a task with intelligence. A computer with AI technology has intellectual characteristics just as human which allow it to discover meaning, learn, ability to reason, and more.
In 1940s, the digital computers came which were able to perform complex tasks like giving proof to mathematical theorems, complicated calculation, playing chess and more. After that, technology has become more advanced but none of them were able to match the human flexibility. We humans are still better than these machines as we can think beyond set domains. However, few programs are now capable to reach expertise of human experts and professionals thus they can perform few tasks and find in applications like medical diagnosis, handwriting recognition, computer search engines and more.
So, can we say that computers have become intelligent? Well, to answer it first understands the term intelligence. You also can enroll the Artificial Intelligence A-Z™: Learn How To Build An AI course to learn about it immediately.
What is Intelligence?
Intelligence is nothing but our simplest behaviour and ability to adapt ourselves as per circumstances. Psychologists say that human intelligence is not measured by one trait rather it is a combination of many traits. Thus, researchers have focused on all the components of intelligence to make computers intelligent. These components are our problem solving ability, ability to learn and use different language, our perception, learning and reasoning ability.
What is Artificial Intelligence?
We can learn all about Artificial Intelligence from the Artificial Intelligence A-Z™: Learn How To Build An AI course comprehensively. In the language of computer science AI is defined as machine intelligence where machines work and react just like us. However, they are not completely intelligent as us as they cannot take decisions on their own. They work as per the programming or algorithms and only mimic the cognitive functions of human. These functions are our problem solving abilities, learning, planning and more.
The core part of AI is knowledge engineering using which a machine is taught how to access objects, their properties, and how to relate the objects. Initiating skills like problem solving, reasoning, common sense is a bit tedious. If you’re interested in learning more about AI, we highly recommend the Artificial Intelligence A-Z™: Learn How To Build An AI course here.
AI system with such abilities is developed to solve some critical problems and perform repetitive tasks. However, not all systems are equal as some of them are limited to perform only a single task while others are smarter than others. Let us clear it with an example, a system which performs only a particular task is termed as weak AI because it cannot do other things on its own example – virtual personal assistants. On the other hand, a system with generalized human cognitive abilities is considered as strong AI Example- a machine that can find solution for an unfamiliar task on its own.
But whether we need a weak AI or strong AI, installing will not be easy as Expensive hardware and software makes it almost impossible. Thus, to be more specific AI is used as a service platform. Developers create service platforms with artificial intelligence for business so as to serve customers better. AI cloud offers an opportunity to individuals and business to create their service platform with tools like Google AI, Microsoft Cognitive Services, IBM Watson Assistant and Amazon AI services.
But, this has raised a serious issue causing an ethical concern. The data given to the systems can be human biased which cause a concern of human intervention in the functioning of machines. Thus, monitoring of the data is essential to make it more transparent or opaque.
Moreover, industrial experts and researchers fear that rise of AI can change the lives and work of people in negative ways where they can be replaced by the machines. But, these beliefs are just unrealistic as AI is meant to improve the services and products to make human life better than earlier and not to replace them. If you’re seeking to master the sought-after AI technology, don’t forget the Udemy best-selling course, Artificial Intelligence A-Z™: Learn How To Build An AI.
Types of Artificial Intelligence
AI system can be categorized into four types on the basis of systems that exists today and that which still don’t exist.
Reactive machines- an example to reactive machines is Deep Blue. In 1990s, Deep Blue had beaten the Garry Kasparov in a chess program. The machine take decisions on the pieces placed on the chess board after identifying them. However, it cannot use its past experiences as Deep Blue has memory so it cannot predict the future actions based on past experience. What it does is analyze the possible moves of both opponent and its own and then take the action. Thus, it cannot be applied to different situation where past experiences are needed to take action.
Limited memory- now come the machines that has memory but only limited. It means they can take future actions based on past experiences. Self driving cars are best example of it. However, these machines don’t have permanent observations means the action learnt cannot be used for distant future.
Theory of mind- AI system with a mind still don’t yet exist as they are just the theory where the machines could take actions based on their intentions, desires and beliefs. In this Artificial Intelligence A-Z™: Learn How To Build An AI course, you’ll get a depth understanding of Artificial Intelligence.
Self-awareness- a self aware system has consciousness which means they can understand other’s feeling by using the information they have and also analyze their current state. We have still not seen existence of this system.
AI technology examples
Despite these beliefs the use of AI has seen in different types of technologies. In this Artificial Intelligence A-Z™: Learn How To Build An AI course, you’ll learn more about it. Here are its examples:
Automation- an automatic functioning machine like robotic process automation has been widely used in industries to perform complicated manufacturing tasks. They perform repeatable tasks like we do by programming them to perform such tasks. Such machines are however different from that used in IT automation.
Machine learning- here a computer system performs a task without relying on the external or explicit instructions or programming to perform it. Machine learning has three algorithms – supervised learning, reinforcement learning and unsupervised learning.
Machine vision- a computer system with vision where it can capture visual information and analyze it is called a machine with vision. The vision of computer is similar to human eyesight but not bound by biology. It means unlike human, such computer system can see things through walls. These systems find application in medical image analysis, signature identification and more.
Robotics- it is one of the engineering field that mainly focus on robots designing. They perform difficult tasks that human cannot perform consistently. Robots are usually used in car assembly lines or to move heavy or large objects in space by NASA. Robots with machine learning abilities are also designed for social settings interaction.
Self- driving cars- here computer vision, deep learning and image recognition technologies are used to build a self driving car which can stay in a given lane without obstructing with others on lane.
Natural language processing- this is a computer ability to process a human language. Spam detection is the best and oldest example of NLP. It detects the spam by looking at the text. Researchers are working on machine learning based NLP where it could perform tasks like sentiment analysis, text translation and speech recognition.
AI technologies have been used in many applications. Here are few. To master the AI technology, don’t miss out the Udemy bestseller named Artificial Intelligence A-Z™: Learn How To Build An AI.
Healthcare- AI technologies are used widely in healthcare where they are supposed to do faster and better diagnoses than humans. This is to improve the patient outcomes as well as reduction in diagnosis costs. IBM Watson is the best healthcare technology till now. It responds to the questions asked by human. It then analyzes patient’s data and forms a hypothesis using available sources. The system then gives a scoring schema. Chatbots are other AI applications that are used to assist customers and clear their queries. They are designed to provide medical feedback, virtual health assistants, schedule appointments, billing process and more.
Business- in business AI is used to perform highly repetitive tasks and RPA is the best example of it. CRM platforms use machine learning algorithms to serve customers better. Websites with chatbots to communicate and serve the customers are better examples of AI in business.
Education- in education AI is used to help or assist students better in studies and automating grading. AI could replace some teachers and assist students better about how to learn by providing them additional support. Time to master AI? This Artificial Intelligence A-Z™: Learn How To Build An AI course is a good boot camp.
Finance- AI in finance can assist or advice by collecting the personal data.
Law- documents sifting in law using AI can save more time and make the process faster. They can work as an assistant to provide answers related to case, can examine ontology and taxonomy as well.
Manufacturing- robots are highly incorporated in manufacturing to better manage the workflow. They can perform single tasks and multiple as well to make the process efficient and faster.
Ethical concerns to AI
Despite these many ethical concerns related to AI as they have potential for abuse as well. Hackers can access these AI and can gain access to the sensitive systems thus causing security issues. Despite these risks, AI tools are regulated by laws which limit the use of algorithms to make the system more opaque. If you want to reveal your potentials by learning AI, the Udemy course of Artificial Intelligence A-Z™: Learn How To Build An AI is your priority.
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