|
via Udemy |
Go to Course: https://www.udemy.com/course/ai-essentials-introduction-to-artificial-intelligence/
Certainly! Here's a detailed and engaging review and recommendation for the course "AI Essentials: A Simple Introduction to Artificial Intelligence Technologies" offered by MTF Institute on Coursera: --- **Course Review and Recommendation: AI Essentials — A Beginner’s Guide to Artificial Intelligence** If you are curious about artificial intelligence and seeking a comprehensive yet accessible introduction, *AI Essentials: A Simple Introduction to Artificial Intelligence Technologies* by the MTF Institute is an excellent starting point. Designed for learners from diverse backgrounds, this course offers a clear overview of the fundamental concepts driving today’s AI revolution. **Course Overview** Offered by the reputable MTF Institute of Management, Technology, and Finance—an international educational leader based in Lisbon, Portugal—this course immerses students into the world of AI, Machine Learning, Deep Learning, and related cutting-edge technologies. The institute’s broad expertise in AI research, coupled with partnerships with industry giants like IBM, Intel, and Microsoft, ensures that learners are receiving high-quality, current insights. **Content Highlights** The course is taught by Mohamed Elfateh, a seasoned IT professional with over ten years of experience. His engaging teaching style makes complex topics approachable. The course begins with a simple yet comprehensive definition of AI and explores its historical roots, dating back to the pioneering conferences of the 1950s featuring figures like Alan Turing and John McCarthy. Key topics include: - The core principles of AI and its evolution over time - How interdisciplinary collaboration is vital for AI advancements (e.g., autonomous vehicles) - An accessible explanation of Machine Learning, Neural Networks, and Deep Learning - Real-world applications such as email filtering, social media personalization, medical diagnosis, and more **Strengths** - **Beginners First Approach:** The course is tailored for newcomers and avoids overly technical jargon, making it easy to grasp fundamental ideas. - **Expert Instruction:** Mohamed Elfateh’s experience and clear communication help demystify complex topics. - **Wide Coverage:** The course covers a broad spectrum—from the history of AI to the specifics of machine learning and deep neural networks—giving students a well-rounded understanding. - **Industry Connections:** Insights into practical applications and the latest trends enhance its relevance. - **Global Perspective:** As MTF is present in over 200 countries, the course emphasizes the universal importance and global impact of AI. **Who Should Enroll?** This course is ideal for students, professionals, or anyone interested in gaining foundational knowledge in AI, whether for academic purposes, career development, or personal enrichment. **Recommendation** I highly recommend *AI Essentials* for those looking to gain a straightforward yet insightful introduction to artificial intelligence. It's perfect for beginners eager to understand what AI is, how it works, and why it matters in today’s digital world. Furthermore, the course's introductory nature makes it an excellent stepping stone before diving into more specialized and technical AI subjects. **Conclusion** In summary, this course offers a compelling blend of historical context, practical applications, and fundamental concepts, making AI accessible and understandable for newcomers. Enroll in *AI Essentials* to start your journey into the fascinating world of artificial intelligence and unlock new perspectives on technological innovation. --- Feel free to customize or expand this review based on your specific needs or audience!
Welcome to course: AI Essentials: A Simple Introduction to Artificial Intelligence Technologies by MTF InstituteCourse provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance. MTF R & D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 208 countries and has been chosen by more than 380,000 students.Hello everyone, and welcome to our course in Artificial Intelligence (AI)! My name is Mohamed Elfateh, I have been working in the Information Technology field for over a decade. I am interested in learning about modern technologies and sharing my knowledge with others.What is AI?AI is a field of computer science that studies how to create machines that can process information, make decisions, and perform specific tasks.The History of modern AIThe field of artificial intelligence (AI) has a long and rich history, dating back to the early days of computing. However, the field as we know it today was founded in 1956 at a conference at Dartmouth College in New Hampshire. This conference brought together the leading researchers in AI at the time, including Alan Turing, John McCarthy, and Marvin Minsky. The conference is credited with helping to define the field of AI and to set the agenda for future research.Artificial Intelligence "AI" is a complex field that needs the ability of people from diverse disciplines to work together. As an example, manufacturing autonomous vehicles like self-driving cars requires the work of people from different fields, such as AI Researchers, Automotive Engineers, and Computer Vision Researchers.AI Researchers develop algorithms that enable self-driving cars to perceive their surroundings, make decisions, and control their movements. Automotive Engineers develop the hardware and software systems that are needed to implement these algorithms, and Computer Vision Researchers develop new techniques for enabling self-driving cars to see and understand the world.What is Machine Learning?Machine Learning is a type of Artificial Intelligence (AI) that allows computers to learn from data without explicit programming. In other words, machine learning algorithms can recognize patterns and make predictions based on data, without getting a command. This enables computers to learn new tasks and improve their performance over time without human intervention.Where is Machine Learning used?Machine learning is in use by a wide range of applications, including email filtering, Social Media Personalization, Image Recognition, Speech Recognition, fraud detection, Text prediction, Product recommendation, medical diagnosis, Healthcare Personalization, Traffic Prediction.Neural networks are a type of machine learning algorithm that is inspired by the structure and function of the human brain.Neural networks can learn complex patterns from data.Neural networks have been successfully used in areas such as natural language processing.Deep Learning is a type of machine learning that uses neural networks with multiple layers.Each layer consists of multiple nodes that can perform diverse tasks. This allows deep learning models to learn more complex patterns from data.Deep learning has been used to achieve significant results in a wide range of tasks, including image recognition, speech recognition, and machine translation.