Colleagues, meet the growing demand for Azure AI engineers and learn to design, build, and implement machine learning models with the “AI Engineer using Microsoft Azure” training program. This program will teach you how to implement machine learning models, design and build an end-to-end AI solution with Azure Cognitive Services, and how to deploy, monitor, and manage continuous improvement of an Azure AI solution. Build and enhance your Azure Cognitive Services, Search and Form Recognizer plus the Microsoft Bot Framework. Training modules include: 1) Building Computer Vision Solutions with Azure. You will begin by learning what computer vision is and its business use cases through real-life business use cases. You will then learn to create solutions using different types of vision-based Azure Cognitive Services, including Azure Form Recognizer for text extraction, Azure Face and Video Analyzer for facial detection and recognition, and Azure Computer Vision and Custom Vision for image classification and object detection. Finally, you will learn and apply the deployment and monitoring tools to ensure that your solution is complete and runs smoothly, 2) Introduction to Building Computer Vision Solutions with Azure. Learn why computer vision is important, among other foundational topics, 2) Design Computer Vision Applications - understand the business and technical considerations of computer vision applications and solutions, 3) Extracting Text from Digital Content. Apply computer vision technology to extract text from various kinds of digital images & documents using specialized Azure Cognitive Services, 4) Facial Recognition - apply face detection and facial recognition using various Azure Face APIs. You can easily get started with little to no deep learning knowledge, 5) Image Classification - the best business use cases of AI are in image classification and object detection solutions, and this lesson gives you a head start on how to implement these with the Azure Custom Vision service, 6) Object Detection & Spatial Analysis, 7) Solutions Deployment & Monitoring - This lesson provides the operational knowledge on how to deploy and manage your computer vision solutions (Project: Automated Passenger Boarding Kiosk), 8) Building NLP and Conversational AI Solutions with Azure - design and build bot solutions on the Azure platform using the Microsoft Bot Framework, language understanding models with the LUIS service, knowledge bases with the Azure QnA service, and integrate Azure Cognitive Text Analytics and speech services, and 9) Introduction to NLP and Conversational Solutions with Azure.
Enroll today (teams & executives are welcome): https://tinyurl.com/4ssc8fvj
Download your free AI-ML-DL - Career Transformation Guide.
“The Interview Prodigy” book series for your listening-reading pleasure:
1 - AI Software Engineer: ChatGPT, Bard & Beyond (Audible) (Kindle)
2 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)
Much career success, Lawrence E. Wilson - AI Academy (share with your team)
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