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Andrew Ng
إن الذكاء الاصطناعي لا يقتصر على المهندسين فقط. إذا أردت أن تصبح مؤسستك أفضل في مجال استخدام الذكاء الاصطناعي، فإن هذه هي الدورة التدريبية المناسبة التي يمكنك دعوة الجميع، وبخاصة زملاؤك غير العاملين بالتكنولوجيا، للانضمام إليها. \n\nستتعلم في هذه الدورة:\n\n- المعنى الكامن وراء مصطلح الذكاء الاصطناعي، بما في ذلك الشبكات العصبية والتعلُّم الآلي والتعلُّم العميق وعلم البيانات\n- ما يمكن أن يفعله الذكاء الاصطناعي من الناحية الواقعية وما لا يمكنه فعله\n- كيفية اكتشاف فرص تطبيق الذكاء الاصطناعي على المشكلات داخل مؤسستك\n- شعور إنشاء مشاريع التعلُّم الآلي وعلم البيانات\n- كيفية العمل مع فريق الذكاء الاصطناعي وبناء إستراتيجية الذكاء الاصطناعي داخل شركتك\n- كيفية التعامل مع المناقشات الأخلاقية والمجتمعية المتعلقة بمجال الذكاء الاصطناعي\n\nعلى الرغم من كون هذه الدورة التدريبية غير تقنية إلى حدٍّ كبير، فإنه يمكن للمهندسين الانضمام إليها لتعلُّم جوانب العمل المتعلقة بالذكاء الاصطناعي.
Register for this course and see more details by visiting:
OpenCourser.com/course/t8w2ns/ldhk
What's inside
Syllabus
ما الذكاء الاصطناعي؟
إنشاء مشاريع الذكاء الاصطناعي
بناء منظومة الذكاء الاصطناعي في شركتك
Read more
Syllabus
ما الذكاء الاصطناعي؟
إنشاء مشاريع الذكاء الاصطناعي
بناء منظومة الذكاء الاصطناعي في شركتك
Read more
الذكاء الاصطناعي والمجتمع
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces a non-technical audience to artificial intelligence, including neural networks, machine learning, deep learning, and data science
Explores the real-world applications and limitations of artificial intelligence
Provides guidance on identifying opportunities for using artificial intelligence to solve organizational problems
Covers the process of creating machine learning and data science projects
Explains how to work with artificial intelligence teams and develop an artificial intelligence strategy within an organization
Discusses the ethical and societal challenges related to artificial intelligence
Taught by Andrew Ng, renowned for his work in artificial intelligence
Save this course
Save الذكاء الاصطناعي للجميع to your list so you can find it easily later:
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Reviews summary
Ai for everyone
This course has a tremendously positive reception, with a near unanimously glowing feedback from reviewers. It is widely regarded as the premier choice for those who want to gain an entry-level understanding of AI. One of its biggest strengths is its strong foundation in teaching the basics, delivering concepts in a fun and simple manner. Nearly all students also commented on the energetic and engaging style of the instructor, Andrew Ng, who makes even complex topics easier to digest. While the course does not dive into technical aspects or programming languages, it serves as a solid springboard for those who want to further their knowledge in AI.
Easy to understand and grasp concepts.
"This course explains very well about AI."
"It is easy to understand especially with the planned flow of topics starting from Week 1 to Week 4."
Engaging and fun instructor.
"كانت أجمل 4 أسابيع مع أفضل معلم حقيقةً استمعت بكل دقيقة للشرح"
"The presentation was very cool, the information was very valuable and fluid, the lecture was fun and interesting, the style was great"
Perfect for beginners.
"Thank you for all your efforts in communicating knowledge in an easy way."
"This course is very imoprtant , especially for those who work in the business sector."
Does not cover technical details.
"all information in this course are really not that much helpful."
"Most of them you know it already and it gives you really nothing new, and this doesn't give you any education about the tools or program languages or anything."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in الذكاء الاصطناعي للجميع with these
activities:
Brush up on the basics
Show steps
Review the fundamentals of artificial intelligence to make sure you have a strong foundation before starting the course.
Browse courses on
Artificial Intelligence
Show steps
-
Review your notes from previous courses or textbooks on AI.
-
Go through online tutorials or videos on the basics of AI.
-
Work through practice problems or exercises to test your understanding.
إنشاء ملخص شامل للدروس وملاحظات المحاضرات
Show steps
سيساعدك إنشاء ملخص شامل على مراجعة المواد الدراسية وتحديد مفاهيم التعلم الأساسية.
Show steps
-
راجع الملاحظات والمواد الدراسية
-
حدد المفاهيم الرئيسية
-
اكتب ملخصًا
Join a study group or online community
Show steps
Join a study group or online community to connect with other students, discuss the course material, and get support.
Browse courses on
Online Communities
Show steps
-
Find a study group or online community related to AI.
-
Join the group and participate in discussions.
-
Ask questions, share your insights, and collaborate with others.
Show all three activities
Brush up on the basics
Show steps
Review the fundamentals of artificial intelligence to make sure you have a strong foundation before starting the course.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Review your notes from previous courses or textbooks on AI.
- Go through online tutorials or videos on the basics of AI.
- Work through practice problems or exercises to test your understanding.
إنشاء ملخص شامل للدروس وملاحظات المحاضرات
Show steps
سيساعدك إنشاء ملخص شامل على مراجعة المواد الدراسية وتحديد مفاهيم التعلم الأساسية.
Show steps
Show steps
Show steps
- راجع الملاحظات والمواد الدراسية
- حدد المفاهيم الرئيسية
- اكتب ملخصًا
Join a study group or online community
Show steps
Join a study group or online community to connect with other students, discuss the course material, and get support.
Browse courses on
Online Communities
Show steps
Show steps
Show steps
- Find a study group or online community related to AI.
- Join the group and participate in discussions.
- Ask questions, share your insights, and collaborate with others.
Show all three activities
Career center
Learners who complete الذكاء الاصطناعي للجميع will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists are responsible for collecting, cleaning, and analyzing data to identify patterns and trends. They use this information to develop predictive models and make recommendations. This course will help you build the skills necessary to become a Data Scientist, including an understanding of machine learning, data mining, and statistics.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers apply specialized deep learning algorithms to solve complex business problems. This course provides a strong foundation in the concepts of deep learning. It explores the tasks that Machine Learning Engineers are responsible for, such as designing, developing, and deploying machine learning models. This course will help you build the skills necessary to contribute to a team of Machine Learning Engineers or to become a Machine Learning Engineer yourself.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They analyze data to identify trends and patterns, and they develop reports and presentations to communicate their findings to stakeholders. This course will help you build the skills necessary to become a Business Intelligence Analyst, including an understanding of data analysis, visualization, and communication.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to ensure that products meet the needs of customers. This course will help you build the skills necessary to become a Product Manager, including an understanding of product development, marketing, and customer research.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. They work with a variety of teams to create and distribute marketing materials, and they track the results of marketing campaigns to measure their effectiveness. This course will help you build the skills necessary to become a Marketing Manager, including an understanding of marketing strategy, campaign development, and data analysis.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and motivating sales teams. They develop sales strategies, set sales targets, and track the performance of sales teams. This course will help you build the skills necessary to become a Sales Manager, including an understanding of sales management, team leadership, and customer relationship management.
Operations Manager
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business. They oversee a variety of functions, including production, inventory management, and customer service. This course will help you build the skills necessary to become an Operations Manager, including an understanding of operations management, process improvement, and quality control.
Human Resources Manager
Human Resources Manager
Human Resources Managers are responsible for the human resources function of a business. They oversee a variety of functions, including recruiting, hiring, and employee development. This course will help you build the skills necessary to become a Human Resources Manager, including an understanding of human resources management, employee relations, and labor law.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making recommendations to businesses. They use a variety of techniques to evaluate the financial performance of companies and to make investment decisions. This course will help you build the skills necessary to become a Financial Analyst, including an understanding of financial analysis, valuation, and investment management.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and testing software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course will help you build the skills necessary to become a Software Engineer, including an understanding of software development, programming languages, and software testing.
Web Developer
Web Developer
Web Developers are responsible for designing and developing websites. They work with a variety of programming languages and technologies to create websites that are user-friendly and visually appealing. This course will help you build the skills necessary to become a Web Developer, including an understanding of web development, HTML, and CSS.
Graphic designer
Graphic designer
Graphic Designers are responsible for creating visual concepts, using computer software or by hand, to communicate ideas that inspire, inform, and captivate consumers. They develop the overall layout and production design for applications such as brochures, magazines, and corporate reports.
Technical Writer
Technical Writer
Technical Writers create instruction manuals, technical reports, and other documentation to explain complex technical information. Provides structure and clarity to technical information.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing software applications to ensure that they meet the requirements of users. They work with a variety of testing tools and techniques to identify and fix bugs in software applications. This course may be useful as it can help Quality Assurance Analysts to gain knowledge of the underlying concepts of machine learning and its applications, which can help them to better understand and test machine learning-based applications.
IT Support Specialist
IT Support Specialist
IT Support Specialists provide technical support to users of computer systems and applications. They troubleshoot problems, install software, and maintain computer networks.
For more career information including salaries, visit:
OpenCourser.com/course/t8w2ns/ldhk
Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
الذكاء الاصطناعي للجميع.
Comprehensive guide to speech and language processing, covering a wide range of topics, including speech recognition, natural language processing, and computational linguistics.
Save
A foundational text on modern AI, focusing on deep learning. Provides a deep understanding of the techniques and models used in many of today’s cutting-edge AI applications.
Classic textbook on reinforcement learning, a type of machine learning that has been used to achieve state-of-the-art results in a wide range of tasks, including game playing, robotics, and finance.
A practical guide to machine learning using popular open-source libraries. Covers a wide range of topics, from data preprocessing to model evaluation, with a focus on real-world applications.
Provides a comprehensive overview of the field of artificial intelligence, covering topics such as machine learning, natural language processing, computer vision, and robotics. It good starting point for those who are new to the field of AI.
Save
Provides a comprehensive overview of the field of machine learning. It covers a wide range of topics, including supervised learning, unsupervised learning, and deep learning.
Save
Explores the potential future of humanity in the age of artificial intelligence. It covers a wide range of topics, including the impact of AI on jobs, the economy, and society.
Save
Explores the potential risks and benefits of artificial intelligence. It covers a wide range of topics, including the history of AI, the different types of AI, and the potential benefits and challenges of AI.
An introduction to data science and its applications in business. Covers topics such as data collection, analysis, and visualization, with a focus on making data-driven decisions.
Short and non-technical introduction to artificial intelligence. It covers a wide range of topics, including the history of AI, the different types of AI, and the potential benefits and challenges of AI.
Save
Explores the potential future of humanity in the age of artificial intelligence. It covers a wide range of topics, including the impact of AI on jobs, the economy, and society.
A non-technical introduction to AI, covering the history, concepts, and applications of AI. Provides a broad overview of the field, suitable for beginners with little to no prior knowledge.
A comprehensive look at the major technological trends shaping the Fourth Industrial Revolution, including the role of AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/t8w2ns/ldhk
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Effort
4 weeks of study, 2-3 hours/week
Level
Introductory
Via
Coursera
Institution
DeepLearning.AI
Instructor
Andrew Ng
Language
العربية
Transcripts
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آذربایجان دیلی
Good to know
Introduces a non-technical audience to artificial intelligence, including neural networks, machine learning, deep learning, and data science
Explores the real-world applications and limitations of artificial intelligence
Provides guidance on identifying opportunities for using artificial intelligence to solve organizational problems
Covers the process of creating machine learning and data science projects
Explains how to work with artificial intelligence teams and develop an artificial intelligence strategy within an organization
Discusses the ethical and societal challenges related to artificial intelligence
Taught by Andrew Ng, renowned for his work in artificial intelligence
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