经过 CertNexus 认证的人工智能从业人员 专业证书
Be an Artificial Intelligence Practitioner. . 掌握实施人工智能技术的策略,以解决业务问题。
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您将学到的内容有
Learn about the business problems that AI/ML can solve as well as the specific AI/ML technologies that can solve them.
Learn important tasks that make up the workflow, including data analysis and model training and about how machine learning tasks can be automated.
Use ML algorithms to solve the two most common supervised problems regression and classification, and a common unsupervised problem: clustering.
Explore advanced algorithms used in both machine learning and deep learning. Build multiple models to solve business problems within a workflow.
您将获得的技能
关于此 专业证书
应用的学习项目
At the conclusion of each course, learners will have the opportunity to complete a project which can be added to their portfolio of work. Projects include:
Create an AI project outline
Follow a machine learning workflow to predict demand
Build a regression, classification, or clustering model
Build a convolutional neural network (CNN)
Learners should have a high-level understanding of fundamental AI concepts, and have experience working with databases and a high-level programming language such as Python, Java, or C/C++.
Learners should have a high-level understanding of fundamental AI concepts, and have experience working with databases and a high-level programming language such as Python, Java, or C/C++.
此专业证书包含 5 门课程
Solve Business Problems with AI and Machine Learning
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.
Follow a Machine Learning Workflow
Machine learning is not just a single task or even a small group of tasks; it is an entire process, one that practitioners must follow from beginning to end. It is this process—also called a workflow—that enables the organization to get the most useful results out of their machine learning technologies. No matter what form the final product or service takes, leveraging the workflow is key to the success of the business's AI solution.
Build Regression, Classification, and Clustering Models
In most cases, the ultimate goal of a machine learning project is to produce a model. Models make decisions, predictions—anything that can help the business understand itself, its customers, and its environment better than a human could. Models are constructed using algorithms, and in the world of machine learning, there are many different algorithms to choose from. You need to know how to select the best algorithm for a given job, and how to use that algorithm to produce a working model that provides value to the business.
Build Decision Trees, SVMs, and Artificial Neural Networks
There are numerous types of machine learning algorithms, each of which has certain characteristics that might make it more or less suitable for solving a particular problem. Decision trees and support-vector machines (SVMs) are two examples of algorithms that can both solve regression and classification problems, but which have different applications. Likewise, a more advanced approach to machine learning, called deep learning, uses artificial neural networks (ANNs) to solve these types of problems and more. Adding all of these algorithms to your skillset is crucial for selecting the best tool for the job.
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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.
常见问题
完成专项课程后我会获得大学学分吗?
Can I just enroll in a single course?
我可以只注册一门课程吗?
此课程是 100% 在线学习吗?是否需要现场参加课程?
完成专项课程需要多长时间?
Do I need to take the courses in a specific order?
Will I earn university credit for completing the Specialization?
完成专项课程后我会获得大学学分吗?
还有其他问题吗?请访问 学生帮助中心。