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

Overview

Artificial intelligence (AI) expertise is among the most sought-after skills in both today's and tomorrow's job markets, as organizations aim to employ AI technology to transform their operations. The field is rapidly expanding, and there is a notable lag in the development of corresponding legal frameworks and ethical guidelines.

This complete professional certificate encompasses a full skill track to elevate your AI career.

It includes an in-depth study of AI laws and ethics, explores data research methods using the Python programming language, delves into advanced machine learning techniques, and teaches the design and implementation of AI solutions using Microsoft Azure's cloud infrastructure.

Enhance your understanding of both the ethical and legal standards that govern the proper conduct in AI technology development and usage. You will be trained on how to employ data research methods to conduct ethical and lawful analytics in AI, and will obtain a substantial understanding of the underlying ethical and legal frameworks.

Beyond ethics, this program will help you advance your knowledge in developing machine learning models utilizing Azure machine learning.

Discover how software can assist in processing, analyzing, and interpreting natural language, along with processing images and videos to understand visual perceptions, and learn about enhancing bots using QnA Maker and LUIS technologies.

The course also offers valuable Python programming skills necessary for data analysis planning and implementation, making learners well-poised for careers that require proficient data science research methods.

Provided by FutureLearn, this program spans across multiple categories including Machine Learning Courses, Ethics Courses, Microsoft Azure Courses, and Law Courses, offering a comprehensive educational experience designed to meet the demands of the evolving AI sector.

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Taught by

Dann Angelo De Guzman, Marion Ram Valencia and Marc Espos

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