Data ScienceArtificial Intelligence (AI)Machine LearningPython ProgrammingWatson (Computer)Deep LearningJobsApplication Programming Interfaces (API)watsonData AnalysisPandasNumpy
Профессиональная сертификация 'Прикладной искусственный интеллект от IBM'
Kickstart your career in artificial intelligence. Learn Python, build a chatbot, explore machine learning and computer vision, and leverage IBM Watson.
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Чему вы научитесь
Understand the definition of AI, its applications and use cases, and explain terms like machine learning, deep learning, and neural networks
Create AI chatbots and virtual assistants without any programming and deploy them on a website
Build AI-powered solutions using IBM Watson AI services, APIs, and Python with minimal coding
Apply computer vision techniques using Python, OpenCV, & Watson and develop custom image classification models and deploy them to the Cloud
Приобретаемые навыки
Профессиональная сертификация: общие сведения
Недавно просмотрено: 62,928
Artificial intelligence (AI) is transforming our world. Whether you’re a student, a developer, or a technology consultant - understanding AI and knowing how to create AI-powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI developer.
This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web. The courses will also enable you to apply pre-built AI smarts to your products and solutions.
Rather than create complex AI algorithms and interfaces from scratch, you’ll use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, you will have completed several projects that showcase proficiency in applying AI and building AI-powered solutions.
In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in applied AI.
Проект прикладного обучения
This Professional Certificate contains a number of hands-on learning projects that will help develop your understanding of AI concepts and tools. Projects include building your own AI chatbot; practicing Python for data science; building, training, and testing your own custom image classifiers; and creating your own computer vision web application and deploying it to the Cloud.
Карьерные результаты учащихся
34%
Начали новую карьеру, пройдя этот продукт (Специализация).
11%
Стали больше зарабатывать или получили повышение.
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
Только онлайн-курсы
Начните сейчас и учитесь по собственному графику.
Гибкий график
Установите гибкие сроки сдачи заданий.
Начальный уровень
Опыт не требуется.
Прибл. 7 месяцев на выполнение
Около 3 ч/неделю
Английский
Субтитры: Английский, Корейский, Вьетнамский, Немецкий, Испанский, Персидский, Французский, Португальский (бразильский), Русский
Карьерные результаты учащихся
34%
Начали новую карьеру, пройдя этот продукт (Специализация).
11%
Стали больше зарабатывать или получили повышение.
Сертификат, ссылками на который можно делиться с другими людьми
Получите сертификат по завершении
Только онлайн-курсы
Начните сейчас и учитесь по собственному графику.
Гибкий график
Установите гибкие сроки сдачи заданий.
Начальный уровень
Опыт не требуется.
Прибл. 7 месяцев на выполнение
Около 3 ч/неделю
Английский
Субтитры: Английский, Корейский, Вьетнамский, Немецкий, Испанский, Персидский, Французский, Португальский (бразильский), Русский
Профессиональная сертификация включает несколько курсов: 6
Introduction to Artificial Intelligence (AI)
Оценки: 6,199
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.
Getting Started with AI using IBM Watson
Оценки: 1,869
In this course you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will understand how Watson works, become familiar with its use cases and real life client examples, and be introduced to several of Watson AI services from IBM that enable anyone to easily apply AI and build smart apps. You will also work with several Watson services to demonstrate AI in action.
Building AI Powered Chatbots Without Programming
Оценки: 1,733
This course will teach you how to create useful chatbots without the need to write any code.
Python for Data Science and AI
Оценки: 19,059
Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.
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IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
Часто задаваемые вопросы
Получу ли я зачеты в университете за прохождение специализации?
Эта специализация не приравнивается к зачету в университетах, однако некоторые вузы принимают сертификаты на свое усмотрение. Дополнительную информацию уточняйте в своем деканате. Онлайн-дипломы и сертификаты Mastertrack™ от Coursera позволяют получить зачеты.
Can I just enroll in a single course?
Когда вы оформите подписку, начнется семидневный бесплатный пробный период, в течение которого подписку можно отменить без штрафа. По истечении этого срока вы не сможете вернуть средства, но сможете отменить подписку в любой момент. Ознакомьтесь с нашей политикой возврата средств.
Можно ли зарегистрироваться только на один курс?
Да! Чтобы начать, нажмите карточку интересующего вас курса и зарегистрируйтесь. Зарегистрировавшись, вы можете пройти курс, чтобы получить сертификат, ссылкой на который можно делиться с другими людьми. Просто ознакомиться с содержанием курса можно бесплатно. При подписке на курс, входящий в сертификацию, вы автоматически подписываетесь на всю сертификацию. Ход учебы можно отслеживать в панели управления учащегося.
Действительно ли это полностью дистанционный курс? Нужно ли мне посещать какие-либо занятия лично?
Это полностью дистанционный курс, потому вам не нужно ничего посещать. Все лекции, материалы для самостоятельного изучения и задания доступны всегда и везде по Интернету и с мобильных устройств.
What are some examples of careers in artificial intelligence?
An understanding of artificial intelligence can be used to support many careers, but some careers specifically require a background in AI. Some examples of careers in AI include:
- AI Developer
- Data Analyst
- Data Engineer
- Data Scientist
- Machine Learning Engineer
- Marketing Analyst
- Operations Analyst
- Quantitative Analyst
- Software Analyst
- Software Developer
- Software Engineer
- User Experience Engineer
How long does it take to complete this Professional Certificate?
The Professional Certificate consists of 6 self-paced courses. Each course takes 4-5 weeks to complete if you spend 2-4 hours working through the course per week. At this rate, the entire Professional Certificate can be completed in 3-6 months. However, you are welcome to complete the program more quickly or more slowly, depending on your preference.
What background knowledge is necessary?
This Professional Certificate is suitable for learners with both technical and non-technical backgrounds. The first 3 courses in the program do not require any programming. The final two courses require some knowledge of Python to build and deploy AI applications. For learners without any programming background, an introductory Python course is included.
Do I need to take the courses in a specific order?
It is highly recommended to complete the courses in the suggested order.
Will I earn university credit for completing this Professional Certificate?
At this time there is no university credit for completing courses in this Professional Certificate.
What will I be able to do upon completing this Professional Certificate?
Upon completing this specialization you will be able to:
- Understand what is AI, its applications & use cases, and how it is transforming our lives
- Explain terms like machine learning, deep learning, and neural networks
- Identify various Watson AI services from IBM and their uses
- Narrate several applications and real life case studies involving IBM Watson
- Describe how AI-powered chatbot technology works and its applications
- Create a customer support chatbot and deploy it to a website
- Practice basics of Python programming language using Jupyter notebooks
- Apply Python programming concepts for data science and AI
- Utilize multiple Watson AI services and APIs together to build smart applications
- Deploy speech enabled virtual assistants with domain intelligence to Facebook, etc.
- Explain what computer vision is and its applications
- Build and train custom image classifiers using Watson, Python and OpenCV
- Create an interactive computer vision web application and deploy it to the Cloud
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