If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
This exam is the requirement to earn the Microsoft Certified: Azure AI Engineer Associate certification. This certification is for Azure AI Engineers who use Cognitive Services, Machine Learning, and Knowledge Mining to architect and implement Microsoft AI solutions involving natural language processing, speed, computer vision, bots, and agents. The AI-100 Designing and Implementing an Azure AI Solution certification exam is geared towards Azure AI Engineer candidates with a working knowledge of basic statistics, data ethics, and data privacy. Exam candidates should be familiar with various aspects of the Microsoft Azure AI portfolio, related open source frameworks and technologies, and available data storage options. Candidates will use their understanding of cost models, capacity, and best practices to architect and implement Artificial Intelligence (AI) solutions using Microsoft Azure.
This course is all about learning various cloud Analytics and Machine Learning options available on Microsoft AZURE cloud platform. We would be creating resources for Stream Analytics, Spark, HDInsight exploring options. We would be learning all the Analytics services with some use cases. Machine learning and cloud computing are trending domains and also have lot of job opportunities, if you have interest in machine learning as well as cloud computing then this course for you. This course will let you use your machine learning skills deploy in cloud.
Microsoft announced the investment plans for Mexico in an official press release. The announcement comes a month after Microsoft CEO Satya Nadela expressed his vision to "power broad economic growth through tech intensity" at Davos WEF 2020. He had said that Microsoft will ensure that this economic growth is inclusive. Mexico is now part of this inclusive global digital revolution. Mexico's digital revolution roadmap includes Microsoft's Cloud Services allocated from the local datacenters.
The main pillar of the plan is focused on accelerating Mexico's digital transformation through democratizing the access to technology. The company announced plans to establish a new cloud datacenter region in Mexico to deliver its intelligent and trusted cloud services to serve Mexico's public entities, organizations and Mexican society, including Microsoft Azure, Office 365, Dynamics 365 and the Power Platform. This datacenter region is an important part of Microsoft's $1.1 billion investment plan in Mexico over the next five years. The plan also includes a robust education and skilling program with different initiatives the first one being the creation of three laboratories and a virtual classroom, in collaboration with public universities to create an education platform for digital skills, to expand employability in future generations. The first initiative of the commitment to apply artificial intelligence to create societal impact is an investment in the project "Artificial Intelligence to Monitor Pelagic Sharks in the Mexican Pacific Ocean" (Shark ID), focused on the conservation of Mako shark species, driven by Mexico Azul, as part of the initiative AI for Earth, creating societal impact.
With its multitenant architecture, Genesys Engage on Microsoft Azure gives customers the ability to innovate faster and improve their business agility. In addition, by running the Genesys customer experience solution on this dependable cloud environment, enterprises will be able to maximize their investment in Microsoft Azure through simplified management and maintenance requirements, centralized IT expertise, reduced costs, and more. These solutions make it easier for enterprises to leverage cloud and artificial intelligence (AI) technologies so they can gain deeper insights and provide tailor-made experiences for their customers. Nemo Verbist, senior vice president of Intelligent Business and Intelligent Workplace at NTT Ltd., one of the top five global technology and services providers for the world's largest enterprises and a partner of both Microsoft and Genesys, sees great value in the partnership. Verbist said, "Many of our customers have standardized on Microsoft solutions, and Genesys Engage on Microsoft Azure gives them an additional opportunity to take advantage of their investment. Together, these solutions provide enterprises a secure and powerful foundation to communicate with their customers in creative and meaningful ways."
Microsoft is the market leader when it comes to providing infrastructure as a service (IaaS) and platform as a service (PaaS) solutions. Microsoft Azure is the project that has not only benefitted the company in terms of ROI but has also changed the business dynamics of organizations around the globe. More and more companies are adopting Azure for their cloud and data products. Microsoft Azure AI was launched in 2018 and has emerged to be a success in the artificial intelligence services market too. Azure AI is a set of AI services built on Microsoft's breakthrough innovation from decades of world-class research in vision, speech, language processing, and custom machine learning.
Students who complete the courses in this learning path will be able to analyze the requirements for AI solutions in Microsoft Azure, recommend the appropriate tools and technologies to implement AI solutions in Microsoft Azure, and implement those solutions in a manner that meet scalability and performance requirements. Students who complete each course in this learning path are on their way towards gaining the knowledge necessary to complete the AI-100 exam.
My name is David Tucker and welcome to the course designing Machine Learning Solutions on Microsoft Azure. I am a cloud consultant. I help organizations everyday plan build and implement custom data Solutions in the cloud have over 15 years of experience in software, architecture and development. When working on data science initiatives, it can be challenging to gain actionable insights from your data set in this course designing machine learning solutions on Microsoft Azure, you will learn howto leverage. Azure is machine learning capabilities to greatly increase the chance of success for your data science project.