Artificial Intelligence (AI) is transforming our world. Whether you’re a student, 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 Application Developer.
IBM Applied AI 專業證書
Kick-start Your Career with Artifical Intelligence
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您將獲得的技能
Data ScienceDeep LearningArtificial Intelligence (AI)Machine LearningWatson AI
100% 在線課程
立即開始，按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
初級
完成時間大約為2 個月
建議 13 小時/週
英語（English）
字幕：英語（English）, 韓語, 德語（German）
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獲得職業證書
當完後計劃中的所有課程後，您將獲得一張證書。您可以將其在專業網絡上分享，並獲得使用職業支持資源的權限，這能夠為您開啟職業生涯提供助力。許多招聘合作夥伴認可我們的許多專業證書，並且我們還有許多合作夥伴可以幫助您準備認證考試。您可以在適用的各個專業證書頁面上找到更多信息。
此專業證書包含 6 門課程
Introduction to Artificial Intelligence (AI)
2,055 個評分
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
936 個評分
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
1,015 個評分
This course will teach you how to create useful chatbots without the need to write any code.
Python for Data Science and AI
12,965 個評分
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.
關於 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.
審閱
4.5
來自IBM APPLIED AI的熱門評論
由 AS 提供Jan 29, 2020
This course was excellent. I really enjoyed it and got some great, practical experience. I'm looking forward to the other Python courses in this specialization.
由 YG 提供Aug 21, 2018
Good course for building foundations in python. Take this course before going ahead in this specialization if you are new to data science and python.
由 SS 提供Jan 12, 2020
I gained a good knowledge related to AI that I wasn't aware about and I am looking forward to complete the specialization in AI.
由 AA 提供Jul 11, 2019
This course has piqued my interest, now I cannot get enough and aim to complete the entire specialization.
由 DS 提供May 26, 2019
I've never touched Python before this course. I'm so glad I started with this specialization!
由 KH 提供Jan 26, 2020
A solid introduction to Python in general. It can help you start getting acquainted with how programming languages work in general and gives a good overview of how Python can be used for data science.
由 HM 提供Nov 17, 2019
it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.
由 RT 提供Aug 19, 2019
-Good Course for basics of python and intro to Pandas and Numpy\n\n-More exercises related to Pandas and Numpy would be good for practice.\n\n-The course isn't updated with the latest UI of IBM Watson
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可以！点击您感兴趣的课程卡开始注册即可开始学习。注册并完成课程后，您可以获得可共享的证书，或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某证书的一部分，系统会自动为您订阅完整的证书。访问您的学生面板，跟踪您的进度。
此课程是 100% 在线学习吗？是否需要现场参加课程？
此课程完全在线学习，无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。
完成专项课程需要多长时间？
The Professional Certificate consists of 6 self-paced courses. Effort required to complete each course is 4-5 weeks if spending 2-4 hours per week. At this rate the entire specialization can be completed in 3-6 months.
What background knowledge is necessary?
This Professional Certificate is suitable for learners with both tech and non-tech background alike. The first 3 courses in the specialization 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, and 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.
完成专项课程后我会获得大学学分吗？
At this time there is no university credit for completing courses in this Professional Certificate.
What will I be able to do upon completing the Specialization?
Upon completing this specialization you will be able to:
- Understand what is AI, its applications & use cases, and how its transforming our lives
- Explain terms like Machine Learning, Deep Learning and Neural Networks
- Identify various Watson AI services from IBM and what they can be used for
- Narrate several applications and real life case studies involving 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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