Ethics, Laws and Implementing an AI Solution on Microsoft Azure
Learn Path Description
Build your confidence in data science for AI and machine learningData science is increasingly vital to the world of work. Workplace skills in this area are among those most in demand from employers, and the ethical and legal support for this vital sector must develop in line with the technology. This Expert Track will help you develop your career and expertise in data science for AI. You’ll also cover the laws and ethics of AI, data research methods with Python, and the design of an AI solution on the Microsoft Azure cloud infrastructure. Build your knowledge of the laws and ethical standards relevant to AI You’ll get to grips with the moral principles that guide the development and use of AI technologies. You’ll learn how to apply data research methods for ethical and legal work in analytics and AI, and gain an in-depth insight into the foundation of ethical and legal frameworks. Process, analyse, and extract meaning from natural language with software Alongside a study of AI ethics, you’ll learn how to develop machine learning models with Azure machine learning. You’ll also process images and videos to gain an understanding of how we see the world in the way that we do, and will learn how bots are created and enhanced with QnA Maker and LUIS. Get in-demand practical Python programming skills This course will also help you implement data science research methods using Python. [Content for this ExpertTrack has been adapted from the Advanced AI on Microsoft Azure microcredential, which offers smaller cohorts, with rich tutor interactions, feedback on assessments, and academic credit.]
Skills You Will Gain
Courses In This Learning Path
Total Duration
3 weeks
Level
Beginner
Learn Type
Certifications
Microsoft Future Ready: Ethics and Law in Data and Analytics
This course is part the Ethics Laws & Implementing an AI Solution in Microsoft Azure ExpertTrack. It will help you understand AI ethics and laws, and develop advanced AI skills.
This course will teach you how to use ethical and legal frameworks for powerful AI and Analytics tools that are used by individuals, corporations, and governments. Additionally, you will learn practical ways to solve data and analytics problems.
Data professionals employ different analytical tools to produce real-world results. While it is important to get optimal results, we need to consider ethics around data sharing, privacy, and algorithmic decision making.
This course will help you apply legal and ethical frameworks for initiatives in the data industry. This course will teach you how to use data methods to ethically and legally work in Analytics and AI. It is a valuable skill in an increasingly technologically complex and competitive world.
Work in Big Data, Data Science, and AI can present many challenges. This course will help you to solve these data and analytics problems.
The course will prepare you to understand the legal and ethical frameworks around AI and Analytics. This will allow you to better understand the data professionals' problems.
Total Duration
3 weeks
Level
Intermediate
Learn Type
Certifications
Microsoft Future Ready: Data Science Research Methods Using Python Programming
This course is part the Ethics Laws and Implementing a AI Solution on Microsoft Azure ExpertTrack. It will help you understand and apply legal and ethical frameworks in data analysis, AI, and data research.
This course will teach you the basics of data research, including how to develop good research questions, design data collection strategies, analyse data, and put results into context. Data scientists are crucial in research, not just analysis. This course will teach you how to extract valuable insights from your data.
This course will help you gain confidence in the ability to analyse your data accurately. This includes how to test hypotheses and how to partition data to get additional valid results.
You will learn Python programming during the course. This is an important tool for machine learning and data science. The labs are all done in Python. However, the videos can be viewed in any language. This gives you ample opportunity to improve your Python programming skills.
You will be able to understand the research process by the end of this course and have practical skills in research methods and Python programming. This flexible language is used for everything data science related, as well as cutting-edge and scalable AI solutions.
Total Duration
5 weeks
Level
Intermediate
Learn Type
Certifications
Microsoft Future Ready: Principles of Machine Learning with Python Programming
This course is part the Ethics Laws & Implementing an AI Solution in Microsoft Azure ExpertTrack. It will help you understand AI ethics and laws, and develop advanced AI skills.
This course will teach you the theory and practice building, validating, and deploying machine-learning models.
Additionally, you'll explore Python and Azure Notebooks. These powerful tools will help you build and deduce insights.
Learn the basics of machine learning and AI theory
This course will help you understand the theories and concepts that underlie AI technology. This course will teach you the fundamental principles of machine learning including unsupervised and supervised learning, regression techniques, and how machines behave and learn.
Get practical experience with machine learning models deployment
This course will teach you how to deploy machine learning models and the difference between IT and data science when putting a model into production. This course will expand your knowledge and allow you to understand the role of machine learning in the workplace.
You will get hands-on experience with Azure Notebooks and Python programming
This course will teach you how to evaluate your data before creating algorithms. This course will teach you how to clean and prepare data sets, as well as features engineering techniques.
After learning the theory, you will be able to apply the knowledge in practice.
You will be able to understand basic machine learning concepts and have the opportunity to use powerful tools like Python with the most advanced machine learning algorithms. This knowledge will help you to understand complex data relationships.
Total Duration
3 weeks
Level
Intermediate
Learn Type
Certifications
Microsoft Future Ready: Designing and Implementing an Azure AI Solution
This course is part the Ethics Laws & Implementing an AI Solution in Microsoft Azure ExpertTrack. It will help you understand AI ethics and laws, as well as improve your machine learning and AI skills. This course will cover the basics of data science and how they can be supported by solutions in Microsoft Azure. You'll learn machine learning theory and get hands-on experience with Microsoft Azure. Industry experts will also be present. This course was developed by the Microsoft World Wide Learning Team for data scientists with the purpose of supporting exam DP100: Designing and Implementing a Data Science Solution in Azure.
Machine learning is changing many industries including data science. It is used to automate processes and achieve better results. Machine learning model training and deployment will be covered. This will enable you to automate more data science projects. Industry experts will guide you through the course to help you understand the machine learning capabilities of Microsoft Azure. This powerful platform can be used for model selection automation and local model training. It can also be used to manage models and monitor them. After you are familiar with the basics of Microsoft Azure, you can build a chatbot. You can consolidate your knowledge by putting it into practice.
