Advanced AI on Microsoft Azure: Ethics and Laws, Research Methods and Machine Learning

Go to class
Write Review

Advanced AI on Microsoft Azure: Ethics and Laws, Research Methods and Machine Learning provided by FutureLearn is a comprehensive online course, which lasts for 13 weeks long, 4 hours a week. Advanced AI on Microsoft Azure: Ethics and Laws, Research Methods and Machine Learning is taught by Dann Angelo De Guzman, Marion Ram Valencia and Marc Espos. Upon completion of the course, you can receive an e-certificate from FutureLearn. The course is taught in Englishand is Paid Course. Visit the course page at FutureLearn for detailed price information.

Overview
  • Artificial intelligence (AI) skills are frequently listed among the most in-demand workplace skills in the current and future job market, as organisations seek to harness AI to revolutionise their operations. The field is exponentially growing, and legal frameworks and ethics are struggling to keep up.

    This comprehensive professional certificate is designed to cover an entire skill track to help you take your AI career to the next level. You’ll cover the laws and ethics of AI, data research methods using the Python programming language, advanced machine learning principles and the design and implementation of an AI solution on the Microsoft Azure cloud infrastructure.

    Get to grips with the ethics and laws relevant for AI practice

    This professional certificate will develop your understanding of the standards of right and wrong that guides moral conduct in 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.

    Discover how machine learning can be used to build predictive models for AI

    As well as growing your knowledge of AI ethics, you’ll learn how to develop machine learning models with Azure machine learning.You’ll discover how software can be used to process, analyse, and extract meaning from natural language.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.

    Learn how to implement data science research methods using Python

    This course will also provide you with in-demand practical Python programming skills as you discover how to plan for analysis of data using Python.

Syllabus
  • Courses under this program:
    Course 1: Microsoft Future Ready: Designing and Implementing an Azure AI Solution (AI Engineer Associate)
    -This course is designed as one advanced next step from the Introduction to AI course.

    Course 2: Microsoft Future Ready: Ethics and Law in Data and Analytics
    -Welcome to Ethics and Law in Data Analytics

    Course 3: Data Science Research Methods Using Python Programming
    -Fundamentals of developing a good question to designing good data collection strategies to putting results in context.

    Course 4: Microsoft Future Ready: Principles of Machine Learning with Python Programming
    -This course is designed to help you learn how machine learning works, and how to build, evaluate, and improve machine models.