课程详情

What you will learn
Identify when and how machine learning can applied to solve problems
Apply human-centered design practices to design AI product experiences that protect privacy and meet ethical standards
Lead machine learning projects using the data science process and best practices from industry
Identify and mitigate privacy and ethical risks in AI projects
Skills you will gain
Data Science
Artificial Intelligence (AI)
Machine Learning
Predictive Analytics
Modeling
Artificial Neural Network
Project Management
Privacy
Design Thinking
Ethics
About this Specialization
10,622
recent views
Organizations in every industry are accelerating their use of artificial intelligence and machine learning to create innovative new products and systems. This requires professionals across a range of functions, not just strictly within the data science and data engineering teams, to understand when and how AI can be applied, to speak the language of data and analytics, and to be capable of working in cross-functional teams on machine learning projects. This Specialization provides a foundational understanding of how machine learning works and when and how it can be applied to solve problems. Learners will build skills in applying the data science process and industry best practices to lead machine learning projects, and develop competency in designing human-centered AI products which ensure privacy and ethical standards. The courses in this Specialization focus on the intuition behind these technologies, with no programming required, and merge theory with practical information including best practices from industry. Professionals and aspiring professionals from a diverse range of industries and functions, including product managers and product owners, engineering team leaders, executives, analysts and others will find this program valuable.
Applied Learning Project
L​earners will implement three projects throughout the course of this Specialization:
1​) In Course 1, you will complete a hands-on project where you will create a machine learning model to solve a simple problem (no coding necessary) and assess your model's performance.
2​) In Course 2, you will identify and frame a problem of interest, design a machine learning system which can help solve it, and begin the development of a project plan.
3​) In Course 3, you will perform a basic user experience design exercise for your ML-based solution and analyze the relevant ethical and privacy considerations of the project.
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Beginner Level
No programming experience or prior knowledge of machine learning / AI required.
Hours to complete
Approximately 4 months to complete
Suggested pace of 3 hours/week
Available languages
English
Subtitles: English
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Beginner Level
No programming experience or prior knowledge of machine learning / AI required.
Hours to complete
Approximately 4 months to complete
Suggested pace of 3 hours/week
Available languages
English
Subtitles: English

课程标签

建模 项目管理 人工智能 AI 数据科学 人工神经网络 产品管理 机器学习 隐私权 产品设计 预测建模 用户体验 UX 伦理学

0人关注该课程

主题相关的课程