Microsoft Future Ready: Designing and Implementing an Azure AI Solution

via FutureLearn

FutureLearn

119 Courses


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Overview

Join the "Microsoft Future Ready: Designing and Implementing an Azure AI Solution" course, an immersive program aimed at enhancing your data science process through the power of Microsoft Azure. This course, curated by the Microsoft World Wide Learning team, is tailored for data scientists preparing for the DP-100: Designing and Implementing a Data Science Solution on Azure exam.

Dive into the essentials of Microsoft Azure, uncover the potential of machine learning, and how it revolutionizes industries by optimizing processes. Learn to automate your data science projects with Azure's machine learning model training and deployment features.

Under the guidance of industry experts, discover how Microsoft Azure can elevate your data modeling through model selection automation, local model training, and efficient model management and monitoring techniques.

Enhance your practical skills by building a chatbot using generative AI, giving you the opportunity to apply your knowledge in a real-world scenario, customize, and troubleshoot within the Azure platform.

This course is ideally suited for aspiring data scientists and professionals focusing on data science. Expand your expertise further with related courses offered by the same provider, including "Microsoft Future Ready: Ethics and Law in Data and Analytics", "Microsoft Future Ready: Data Science Research Methods Using Python Programming", and "Microsoft Future Ready: Principles of Machine Learning with Python Programming".

Offered by FutureLearn, this program falls into various key categories such as Artificial Intelligence Courses, Machine Learning Courses, Microsoft Azure Courses, Generative AI Courses, and Data Science Courses, ensuring a comprehensive learning experience.

Syllabus


Taught by

Daniela Piedrahita


Tags

provider FutureLearn

FutureLearn

119 Courses


FutureLearn

pricing Free Online Course (Audit)
language English
duration 3 weeks, 6 hours a week
sessions On-Demand
level Intermediate