Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services.
本课程是 经过 CertNexus 认证的人工智能从业人员 专业证书 专项课程的一部分
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经过 CertNexus 认证的人工智能从业人员 专业证书CertNexus课程信息
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第 1 门课程（共 5 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
A high-level understanding of fundamental AI concepts is required, and general business knowledge is preferred.
完成时间大约为11 小时
英语（English）
字幕：英语（English）
您将学到的内容有
Identify appropriate applications of AI and machine learning within a given business situation.
Formulate a machine learning approach to solve specific business problems.
Select appropriate tools to solve given machine learning problems.
Protect data privacy and promote ethical practices when developing and deploying AI and machine learning projects.
您将获得的技能
Artificial Intelligence (AI)Machine LearningBusiness SolutionsEthics Of Artificial IntelligenceData Structure
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 1 门课程（共 5 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
A high-level understanding of fundamental AI concepts is required, and general business knowledge is preferred.
完成时间大约为11 小时
英语（English）
字幕：英语（English）
提供方
CertNexus
CertNexus is a vendor-neutral certification body, providing emerging technology certifications and micro-credentials for Business, Data, Development, IT, and Security professionals. CertNexus’ exams meet the most rigorous development standards possible which outlines a global framework for developing personnel certification programs to narrow the widening skills gap.
教学大纲 - 您将从这门课程中学到什么
完成时间为 4 小时
Apply AI and ML to Business Problems
Deep learning, machine learning (ML), and other forms of artificial intelligence (AI) are on the rise. Organizations use these technologies to inform business decisions and guide operations—often with profound results. However, it can be challenging to identify which business problems are most amenable to these technologies. In this first module, you'll begin exploring AI and ML as solutions to these problems.
完成时间为 4 小时
18 个视频 （总计 60 分钟）, 3 个阅读材料, 5 个测验
18 个视频
CAIP Specialization Introduction3分钟
Identify Data-Driven Emerging Technologies Module Introduction1分钟
The Data Hierarchy3分钟
Big Data3分钟
Data Mining3分钟
Applied AI and ML in Business6分钟
Appropriate Business Problems4分钟
Challenges of AI/ML4分钟
Machine Learning Model1分钟
Machine Learning Workflow1分钟
Useful Skillsets3分钟
Concept Drift and Transfer Learning2分钟
Problem Formulation5分钟
Differences Between Traditional Programming and Machine Learning2分钟
Differences Between Supervised and Unsupervised Learning2分钟
Randomness and Uncertainty4分钟
Machine Learning Outcomes3分钟
3 个阅读材料
Overview2分钟
Guidelines for Following the Machine Learning Workflow5分钟
Guidelines for Formulating a Machine Learning Outcome 5分钟
1 个练习
Applying AI and ML to Business Problems30分钟
完成时间为 2 小时
Select Appropriate Tools
The second module in this course provides an overview of software and hardware tools that are commonly used to implement and/or support AI and machine learning techniques. Even if you won't end up trying every tool out there, it's important to be informed about your options so that you'll make better decisions when it comes time to select tools for your own environment.
完成时间为 2 小时
4 个视频 （总计 8 分钟）, 6 个阅读材料, 2 个测验
4 个视频
New Tools and Technologies1分钟
Hardware Requirements3分钟
Cloud Platforms1分钟
6 个阅读材料
Overview2分钟
Open Source AI Tools15分钟
Proprietary AI Tools15分钟
GPU Platforms5分钟
Guidelines for Configuring a Machine Learning Toolset5分钟
Machine Learning Tools10分钟
2 个练习
Open Source and Proprietary AI Tools Quiz15分钟
Selecting Appropriate Tools30分钟
完成时间为 4 小时
Promote Data Privacy and Ethical Practices
As AI and machine learning have the potential to revolutionize business, so too will they bring significant changes to society and the individuals in that society. It's vital that anyone involved in developing such technologies, including practitioners, is prepared to handle the ethical risks that arise. In this module, you'll explore those ethical risks, as well as strategies for mitigating such risks.
完成时间为 4 小时
16 个视频 （总计 56 分钟）, 5 个阅读材料, 5 个测验
16 个视频
Data Protection4分钟
Data Privacy Laws2分钟
Privacy by Design3分钟
Data Privacy Principles at Odds with Machine Learning3分钟
Compliance with Data Privacy Laws and Standards5分钟
Data Sharing and Privacy3分钟
The Big Data Challenge2分钟
Preconceived Notions1分钟
The Black Box Challenge3分钟
Bias, Prejudice, and Discrimination4分钟
Ethics in NLP2分钟
Use of Data for Unintended Purposes2分钟
Intellectual Property4分钟
Humanitarian Principles6分钟
Asilomar AI Principles5分钟
5 个阅读材料
Overview2分钟
Guidelines for Protecting Data Privacy10分钟
Guidelines for Promoting Ethical Practices3分钟
Privacy and Data Governance for AI and ML2分钟
Guidelines for Establishing Policies Covering Data Privacy and Ethics15分钟
1 个练习
Promoting Data Privacy and Ethical Practices30分钟
完成时间为 2 小时
Apply What You've Learned
You'll work on a project in which you'll apply your knowledge of the material in this course to practical scenarios.
完成时间为 2 小时
关于 经过 CertNexus 认证的人工智能从业人员 专业证书
The Certified Artificial Intelligence Practitioner™ (CAIP) industry validated certification helps professionals draw higher salaries (25% on average) and differentiate themselves from other job candidates.
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