أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI

Go to Course: https://www.coursera.org/learn/artificial-intelligence-and-big-data-fundamentals

Introduction

### Course Review and Recommendation: أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI In today's rapidly evolving technological landscape, the importance of Artificial Intelligence (AI) and Big Data cannot be overstated. The course "أساسيات الذكاء الاصطناعي والبيانات الضخمة" (Fundamentals of Artificial Intelligence and Big Data) offered on Coursera presents an excellent opportunity for both beginners and professionals to acquire essential knowledge and skills in this transformative field. Whether you are a student, an industry professional, or simply a curious learner, this course is a valuable resource that provides a comprehensive understanding of AI and Big Data concepts and applications. #### Course Overview The course is designed against the backdrop of the Fourth Industrial Revolution, a pivotal moment that affects all sectors globally. It emphasizes the necessity of understanding and applying AI and Big Data to be at the forefront of this revolution. This is particularly resonant in a world where technology is shaping every aspect of life and work. The course aims to equip learners with the foundational knowledge required to navigate this complex landscape successfully. #### Syllabus Breakdown The syllabus is structured in a way that guides learners through a logical progression of topics: 1. **المفاهيم الأساسية (Fundamental Concepts)**: - This introductory unit covers the basic principles of artificial intelligence, including its definition, types of robots, and an overview of various AI pathways. It sets a solid groundwork for understanding the more complex topics that follow. 2. **مسارات الذكاء الاصطناعي (AI Pathways)**: - In this unit, learners will delve into the specific pathways of AI, such as expert systems, computer vision, and their applications. This section is crucial for anyone interested in practical AI applications. 3. **معالجة اللغات الطبيعية (Natural Language Processing)**: - This essential unit introduces learners to the concept of NLP, discussing dialogue systems, machine translation, text extraction, and summarization. Given the increasing reliance on NLP in various technologies, this segment is particularly relevant. 4. **البيانات الضخمة (Big Data)**: - Here, the course addresses the fundamental concepts of Big Data, including storage and measurement methods, characteristics, data sources, types based on classification and processing, and techniques for managing and processing Big Data. Understanding these concepts is vital for anyone looking to harness the power of data in decision-making. 5. **التعلم الآلي (Machine Learning)**: - The final unit explores the concept of machine learning and its various types, such as supervised and reinforcement learning. This section is particularly engaging as it reveals the mechanisms behind intelligent data processing and predictive analytics. #### Review and Recommendations Overall, "أساسيات الذكاء الاصطناعي والبيانات الضخمة" is a well-structured and informative course that caters to a wide audience. The content is delivered in Arabic, making it accessible to Arabic-speaking learners who may feel underrepresented in the global online education landscape. Here’s what stands out about the course: - **Comprehensive Curriculum**: The course takes a 360-degree approach to AI and Big Data, making it suitable for beginners who seek a foundational understanding as well as for seasoned professionals looking to update their knowledge. - **Practical Insights**: The course provides practical insights into how AI and Big Data are shaping industries, which is invaluable for professionals aiming to implement these technologies in their work. - **Flexibility**: As with many Coursera courses, learners can study at their own pace, making it easier to fit the course into a busy schedule. - **Networking Opportunities**: Enrolling in this course also provides the chance to connect with a community of learners and professionals, facilitating networking and collaboration. In conclusion, I highly recommend "أساسيات الذكاء الاصطناعي والبيانات الضخمة" for anyone looking to better understand AI and Big Data. It’s a stepping stone towards becoming proficient in these critical fields that are increasingly shaping our modern world. Whether you want to enhance your career prospects or simply expand your knowledge base, this course is an excellent choice.

Syllabus

المفاهيم الأساسية

هذه الوحدة تعتبر المدخل الذي ستتعرف من خلاله على أساسيات الذكاء الاصطناعي، حيث ستتعرف على مفهوم الذكاء الاصطناعي، والروبوتات وأنواعها، بالإضافة إلى مقدمة عن مسارات الذكاء الاصطناعي.

تغطي هذه الوحدة المواضيع المتعلقة بمسارات الذكاء الاصطناعي وتشمل: الأنظمة الخبيرة، ومفهوم الرؤية الحاسوبية، ومجالات تطبيق الرؤية الحاسوبية.

ماذا نعني بمعالجة اللغات الطبيعية؟ هذا ما سنعرفه في هذه الوحدة، حيث سنتعرف على مفهوم معالجة اللغات الطبيعية بالإضافة إلى أنظمة الحوار والترجمة الآلية، وأيضاً استخلاص النصوص وتلخيصها.

ستتعرف في هذه الوحدة على المفاهيم الأساسية المتعلقة بالبيانات الضخمة وآليات حفظها وقياسها، بالإضافة إلى خصائصها الأساسية والجديدة، وأيضاً مصادر البيانات الضخمة وأنواعها، وأنواع البيانات حسب التصنيف والمعالجة، وأخيراً تقنيات ومراحل معالجة البيانات الضخمة.

وصلنا إلى الوحدة الأخيرة والتي ستتعرف من خلالها على مفهوم التعلم الآلي ومستوياته مثل التعلم الخاضع إلى الإشراف والتعلم المعزز وغيرهم.