Введение в искусственный интеллект from Coursera

Что же такое этот пресловутый искусственный интеллект? Сегодня вокруг этого термина столько мифов и неправильного понимания, что зачастую отделить правду от вымысла очень сложно. Особенно масла в огонь невежества подливают журналисты и деятели массовой культуры, которые занимаются созданием мифов. В итоге у нас с одной стороны есть мифы про терминаторов, скайнет и матрицу, а с другой стороны считается, что искусственный интеллект создать в принципе невозможно. Но правда в том, что искусственные интеллектуальные системы уже существуют и успешно замещают людей во многих профессиях. И дальше всё будет только серьёзнее. Так что знать, что это такое, куда развиваются систем искусственного интеллекта и что нас ожидает сейчас и в ближайшем будущем — всё это насущная необходимость любого современного человека. Студент, успешно прошедший курс, будет полноценно ориентироваться в современных технологиях искусственного интеллекта. Он сможет выступать экспертом для СМИ, консультантом для предпринимателей и компаний, которые планируют внедрять в свою деятельности методы искусственного интеллекта.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Targets a wide audience with an interest in AI

Taught by instructors with an established reputation in the industry

Examines the current state of AI and the opportunities it presents

Could expand on practical applications of AI in different industries

Reviews summary

Introduction to artificial intelligence

This course provides a comprehensive introduction to the fundamentals of artificial intelligence (AI). It covers a wide range of topics, including machine learning concepts, the history and evolution of AI, and potential applications. The instructor presents the information in an engaging and accessible manner, making it suitable for both beginners and those with some prior knowledge of AI. The course is highly recommended for anyone interested in gaining a foundational understanding of AI, and it may particularly benefit those exploring a career in the field.

Instructor is passionate and knowledgeable

"Очень обаятельный преподаватель."

"...интересно рассказывает и технарям и гуманитариям."

Provides a solid foundation for further learning in AI

"Рекомендую новичкам."

"Данный курс вводит в область ИИ."

"Хороший курс для старта в изучении искусственного интеллекта!"

Organized in a clear and logical way

"Прекрасно структурированный и интересный курс."

Content is presented in a clear and easy-to-understand manner

"Без занудства и доступным языком изложены базовые понятия, связанные с ИИ."

"Доступное интересная подача материала."

Limited practical applications and assignments

"В данном курсе только два задания, ... Остальное только тесты, никаких практических знаний."

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 Введение в искусственный интеллект with these activities:

Review Machine Learning Tutorials

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Reviewing tutorials on Machine Learning will help you understand the basics of the subject and prepare you for the more advanced concepts covered in the course.

Browse courses on Machine Learning

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Find tutorials on Machine Learning concepts that you are not familiar with.
Watch the tutorials and take notes on the key concepts.
Try to apply the concepts you learned in the tutorials to your own projects.

Introduction to Machine Learning by Ethem Alpaydin

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This book provides a comprehensive overview of the field of machine learning, making it a valuable resource for those who are new to the subject or want to refresh their knowledge.

View Machine Learning, revised and updated edition on Amazon

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Read the book.
Take notes on the key concepts.
Apply the concepts you learned to your own projects.

Attend Study Groups

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Attending study groups can help you understand the course material better and improve your problem-solving skills.

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Join a study group for the course.
Attend the study group meetings regularly.
Participate in discussions and ask questions.

Four other activities

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Practice Coding Problems

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Practicing coding problems will help you improve your problem-solving skills and your ability to implement algorithms.

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Find coding problems online or in textbooks.
Try to solve the problems on your own.
Check your solutions against the provided answers.

Create a Project

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Creating projects will help you apply your knowledge, be creative and explore your interests in the field of Artificial Intelligence.

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Identify a dataset or problem that you want to work on.
Develop a solution to the problem.
Train and evaluate your model.
Present your project to the class.

Contribute to Open Source Projects

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Contributing to open source projects will give you valuable experience working on real-world projects and collaborating with other developers.

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Find an open source project that you are interested in.
Make a small contribution to the project.
Submit your contribution to the project.

Start a Personal Project

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Starting a personal project will allow you to apply your knowledge and skills to a project that you are passionate about.

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Identify an idea for a personal project.
Develop a plan for your project.
Implement your project.
Share your project with others.

Career center

Learners who complete Введение в искусственный интеллект will develop knowledge and skills that may be useful to these careers:

AI Research Scientist

An AI Research Scientist conducts research on artificial intelligence algorithms, models, and systems. The primary duty of this role is to push the boundaries of what artificial intelligence can do. The `Введение в искусственный интеллект` course provides AI Research Scientists with a comprehensive overview of the field, preparing them to understand and contribute to research in cutting-edge areas such as computer vision, machine learning, natural language processing, and robotics. This course also places special emphasis on understanding the ethical implications of artificial intelligence, positioning graduates to make positive contributions to society.

See salaries and explore the career path for AI Research Scientist

Artificial Intelligence Engineer

An Artificial Intelligence Engineer builds and deploys artificial intelligence models that power a range of technologies, such as image recognition, language processing, and robotics. Today, Artificial Intelligence Engineers are in high demand due to the wide applicability of artificial intelligence in a range of fields. The `Введение в искусственный интеллект` course helps build a conceptual foundation for this field and provides practical examples of how artificial intelligence is used in real-world applications. This will help students who wish to work as Artificial Intelligence Engineers understand both the possibilities and limitations of the technology, setting them up for success.

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Machine Learning Engineer

A Machine Learning Engineer designs, develops, and deploys machine learning models. These engineers may work on a range of projects, from improving search engine results to fraud detection to developing self-driving cars. The `Введение в искусственный интеллект` course will help Machine Learning Engineers understand the core principles of the field and the practical considerations for building machine learning models. Students will also gain exposure to the latest advancements in machine learning and artificial intelligence, so they can build models that drive success in the modern tech landscape.

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Data Scientist

A Data Scientist cleans, prepares, and analyzes data using machine learning models. This role is responsible for extracting insights from data, and communicating these insights to stakeholders. The `Введение в искусственный интеллект` course will help Data Scientists understand core machine learning concepts, alongside ethical considerations and legal frameworks for data analysis. This course, when paired with a strong background in mathematics, statistics, and programming, will help Data Scientists build a solid foundation for success in their field.

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AI Software Engineer

An AI Software Engineer combines a strong understanding of computer science with expertise in machine learning and artificial intelligence. These engineers work to build and implement artificial intelligence solutions for a range of applications. The `Введение в искусственный интеллект` course will provide a much-needed foundation for students wishing to enter this field, enabling them to understand the core principles and foundational technologies of artificial intelligence. Graduates will also be well-positioned to lead the development of cutting-edge AI-based products and services.

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Business Intelligence Analyst

A Business Intelligence Analyst helps businesses to make data-driven decisions. These analysts use data to understand trends, patterns, and relationships, and they communicate their findings in a way that is actionable for stakeholders. The `Введение в искусственный интеллект` course will help Business Intelligence Analysts understand how to use machine learning and artificial intelligence to unlock new insights from data. Graduates will be able to use this knowledge to help businesses make better decisions and gain a competitive advantage.

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AI Product Manager

An AI Product Manager is responsible for the development and launch of artificial intelligence-based products. These professionals have a deep understanding of both artificial intelligence and business, and they are able to translate technical requirements into product specifications. The `Введение в искусственный интеллект` course can be valuable to AI Product Managers, as it provides a comprehensive overview of AI concepts and technologies. Graduates will be able to use this knowledge to make informed decisions about product development and launch.

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AI UX Designer

An AI UX Designer designs user interfaces for artificial intelligence products. These designers work to create intuitive and user-friendly interfaces that make it easy for people to interact with AI-powered systems. The `Введение в искусственный интеллект` course will be useful for AI UX Designers, as it provides a foundation in AI concepts and technologies. Graduates will be able to use this knowledge to design user interfaces that are both effective and engaging.

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AI Lawyer

An AI Lawyer advises clients on the legal implications of artificial intelligence. These lawyers have a deep understanding of both AI and law, and they are able to help clients navigate the complex legal landscape surrounding AI. The `Введение в искусственный интеллект` course will be useful for AI Lawyers, as it provides a foundation in AI concepts and technologies. Graduates will be able to use this knowledge to provide informed legal advice to their clients.

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AI Policy Analyst

An AI Policy Analyst develops and implements policies related to artificial intelligence. These analysts work to ensure that AI is used in a responsible and ethical manner. The `Введение в искусственный интеллект` course may be helpful for AI Policy Analysts, as it provides an overview of the ethical and legal frameworks surrounding AI. Graduates will be able to use this knowledge to develop policies that promote the responsible development and use of AI.

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AI Journalist

An AI Journalist writes about artificial intelligence for a variety of audiences. These journalists help to educate the public about AI and its potential impact on society.

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AI Consultant

An AI Consultant helps organizations to adopt and implement AI technologies. These consultants have a deep understanding of AI and business, and they are able to help organizations to use AI to achieve their business goals.

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AI Educator

An AI Educator teaches artificial intelligence to students at all levels. These educators work to create engaging and informative learning experiences that help students to understand the principles and applications of AI.

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AI Researcher

An AI Researcher conducts research on artificial intelligence algorithms, models, and systems. These researchers work to push the boundaries of what AI can do.

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AI Developer

An AI Developer builds and deploys artificial intelligence models. These developers work on a range of projects, from improving search engine results to fraud detection to developing self-driving cars.

See salaries and explore the career path for AI Developer