أساسيات الذكاء الاصطناعي: مقدمة عن تقنيات الذكاء الاصطناعي Free Course Coupon

What you’ll learn

• Artificial intelligence, its history and uses
• What is automatic learning and where is it used?
• Neural networks and deep learning
• The relationship between automated learning, neural networks, and deep learning
• General artificial intelligence
• Smart agent
• Natural language processing
• Computer vision
• Artificial intelligence ethics
• Artificial intelligence in robotics
• Research algorithms
• Representation of knowledge and inference in artificial intelligence

This course includes:

• 1 hour on-demand video
• Assignments
• 13 downloadable resources
• Access on mobile and TV
• Full lifetime access
• Certificate of completion

Description

Welcome to the Artificial Intelligence Basics Course: Introduction to Artificial Intelligence Technologies

The course is provided by MTF Institute for Management, Technology and Finance

MTF It is a global institute for education and scientific research, headquartered in Lisbon, Portugal, and focuses on hybrid education (urban within the institute and over the Internet) in the fields of business and administration, science and technology, banking and financial services.
Center cares MTF Research and Development (MTF R&D) Research activities in the fields of Artificial Intelligence, Machine Learning, Data Science, Big Data, Web 3, WEB3, Blockchain, Encrypted Currency, Digital Assets Electronic Commerce, Internet of Things.
MTFShe is the official partner of IBM, Intel, Microsoft, and is a member of the Portuguese Chamber of Commerce and Industry.

MTF It is located in 208 countries and has been selected by more than 380,000 students.


Hello and welcome, thank you for joining us in this course that I look forward to accompanying you to understand the potential of artificial intelligence and how to use it and use it to make a positive impact.

My name Muhammad Al-Fateh Makki, Information Systems and Technology Engineer. I have been working in the field of information technology for more than a decade, and I have a degree Chief Technical Officer From MTF Institute for Management, Technology and Finance.

I love and spread knowledge, and for this reason I offer this course to those interested in understanding the basics of artificial intelligence and some of its modern applications.
Together in this course we will explore a wide range of topics related to artificial intelligence, including:

What is artificial intelligence?
It is a field of computer science that studies how to create machines and technologies that can process information, make decisions, and perform specific tasks.

History of artificial intelligence the talk
The field of artificial intelligence extends to a long and ancient history, dating back to the early days of computing. However, the field was established as we know it today in 1956 at a conference at Dartmouth College in New Hampshire. This conference brought together some of the leading researchers in the field of artificial intelligence at the time, including Alan Turing, John McCarthy and Marvin Minsky. The conference is credited with helping to define the field of artificial intelligence and setting an agenda for future research.

Artificial intelligence Complex field requires Various skills and knowledge Therefore, cooperation between people is from Different disciplines Working together to develop it is necessary. For example Development of large language models This required the cooperation of many people with different skills, such as Computer and linguistic scientists and data scientists. They worked together to develop new methods of training Large language modelsThey also collected and processed the vast quantities of texts and symbols needed to train these models.

What is automatic learning?
Automated learning is a type of artificial intelligence that allows a computer to learn from data without the need for programming, or in other words, automated learning algorithms can identify patterns and conclusions based on data, without having to order from anyone about how to do this. This enables the computer to learn new tasks and improve their performance over time without human intervention.

Where is automatic learning used?
Automated learning is used in a wide range of applications, including e-mail filtering, social media allocation, image recognition, speech recognition, fraud detection, text conclusion, product suggestion, medical diagnosis, health care allocation, and traffic conclusion.

What are neural networks?
Neural networks are a type of robotic learning algorithms inspired by the structure and function of the human brain. Neural networks consist of an interconnected node, which processes information in a way inspired by how the brain works. The node is a basic unit that can receive, store and transmit information.

What is deep learning?
Deep learning is a type of robotic learning that uses multi-layered neural networks. Each layer consists of several nodes that can perform various tasks. This allows deep learning models to learn more complex patterns of data compared to traditional robotic learning algorithms. The more classes, the deeper the model, and the more powerful it becomes. Deep learning has been used to achieve valuable results in a wide range of tasks, including image recognition, speech recognition, and machine translation.

Who this course is for:

• There are no specific requirements, this course is intended for all who wish to build a career in the field of artificial intelligence and data science or improve their knowledge

How to Get this course FREE?

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