Microsoft Azure AI-900
Unlocking Azure's AI Potential with Tech Cryptors
Microsoft Azure AI-900
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Start your journey into Azure AI with Tech Cryptors’ Microsoft Azure AI-900 course. Explore fundamental AI concepts and services on Microsoft Azure, covering machine learning, natural language processing, and more. Develop a solid understanding of AI technologies, making it an ideal choice for beginners, business professionals, and those looking to integrate AI capabilities into their projects and solutions. Our cutting-edge courses are designed to equip aspiring professionals with practical skills and knowledge to excel in the dynamic world of networking.
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Understanding AI Workloads in Microsoft Azure AI-900
Anomaly Detection: Identifying unusual patterns or data points in a dataset.
Computer Vision: Working with visual data to recognize objects, text, and faces.
Natural Language Processing (NLP): Processing and understanding human language.
Knowledge Mining: Extracting insights and knowledge from large datasets.
Understanding Responsible AI Principles
Fairness: Ensuring AI solutions treat all groups fairly and without bias.
Reliability and Safety: Building AI systems that are dependable and secure.
Privacy and Security: Protecting user data and ensuring confidentiality.
Inclusiveness: Making AI solutions accessible to everyone.
Transparency: Providing explanations for AI decisions.
Accountability: Taking responsibility for AI system behavior.
Understanding core machine learning concepts
Features and Labels: Recognizing the input and output variables in a dataset.
Training and Validation Datasets: Using separate datasets for model training and evaluation.
Learn about Azure Machine Learning Tools in Microsoft Azure AI-900
Automated Machine Learning: Automating the process of building machine learning models.
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Azure Machine Learning Designer: Creating machine learning models using a visual interface.
Exploring Computer Vision Solutions in Microsoft Azure AI-900
Image Classification: Assigning labels to images based on their content.
Object Detection: Identifying and locating objects within images.
Optical Character Recognition: Extracting text from images.
Facial Detection and Analysis: Detecting faces and analyzing facial expressions.
Learn about Computer Vision Services in Microsoft Azure AI-900
Computer Vision Service: Analyzing and extracting insights from images.
Custom Vision Service: Creating custom image classification and object detection models.
Face Service: Detecting and analyzing faces in images.
Form Recognizer Service: Extracting structured data from documents.
Natural Language Processing (NLP) Workloads in Microsoft Azure AI-900
Key Phrase Extraction: Identifying important keywords in text.
Entity Recognition: Identifying entities like names, dates, and locations.
Sentiment Analysis: Determining the sentiment expressed in text.
Language Modeling: Predicting the next word in a sequence of text.
Speech Recognition and Synthesis: Converting speech to text and vice versa.
Translation: Translating text between languages.
Learn about NLP Services in Microsoft Azure AI-900
Language Service: Analyzing and understanding text in different languages.
Speech Service: Converting speech to text and text to speech.
Translator Service: Translating text between languages.
Understanding Conversational AI Solutions in Microsoft Azure AI-900
Bots: Interactive AI agents that can simulate human conversation.
Power Virtual Agents and Azure Bot Service: Platforms to create and deploy bots in Microsoft Azure AI-900.
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