Everything You Need To Know About Tableau Certification
01-30-2023By: Microtek Learning
Jan. 31, 2022
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Last Updated On: Apr. 01, 2022
AI is the ability of the computer to perform tasks that are typical characteristics of humans.
Azure AI portfolio has options for every developer whether they are looking for a pre-built AI model, advanced machine learning capabilities, or no-code development experience.
Azure Cognitive Services:
It provides a broad range of platform to customize AI models on the market. Azure were the first in the industry to develop AI services for the human parity in computer for vision, speech and, language.
Azure Cognitive Services has four core categories:
You can also customize AI models using your data without machine learning expertise.
Vision Model:
Vision AI models enable your apps to identify and analyze content within images and videos embedded into your apps to help label content, extract printed and handwritten text and, recognize objects. A custom vision model can be created for a specific domain and scenario simply by uploading and labelling a few images. An example of this is GE Aviation which uses Azure Vision to convert handwritten and printed documents to digital format.
Language Model:
The language model is used to build AI model that can understand languages and create languages as per the user requirement. So that it can easily interact with bots, humans, applications and IoT devices.
You can also translate text in real-time over 70 languages to support translations for call centers, multilingual conversational agents, and more. You can take advantage of key phrases and text to perform sentiment analysis so you can understand customer perception.
BBC uses the Azures Language AI model to understand services to help their virtual assistant to understand user requests.
Speech Model:
It helps to combine human speech into applications and programs. It saves time by transcribing speech to text, whether you are cataloging customer service calls or creating a voice-enabled virtual assistant. Translate speech in real-time and build custom models to translate terms specific to your business. It has to leverage over 110 voices to build applications that can speak naturally or customize a voice unique to your brand.
Motorola Solutions emergency responders gain faster access to crucial information through a voice-powered virtual assistant.
Decision model:
It enables you to make smarter decisions faster. It creates safe and positive user experiences with content moderation capabilities. The model can detect and filter potentially offensive or inappropriate images, text and, videos. Deliver personalized experiences for every user of your website or applications with models that improve over time-based on user behavior and build apps that can help you identify potential problems before they happen. Airbus uses the Azure decision-making AI model in containers to help identify potential with their satellites.
Microtek Learning, a certified Microsoft Partner provides you with Microsoft certification and training along with Azure AI certification.
For acquiring this training you do not require a prerequisite certification. If you are interested in AI and want to check out various pre-build facilities with Azure, this is must-have training for you.
From a careers perspective, many companies out there are automating their daily functionality. Companies are now turning towards AI and they require individuals with AI knowledge.
So, get trained and certified with Azure AI fundamental training and open a door of great opportunities.
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