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Azure AI Bootcamp | Now On-Demand
Azure AI Bootcamp Day 1 & 3 Now On-Demand | Day 2 Coming Soon Register now: Azure Depth Portal (on24.com) View this on-demand content to learn about Azure artificial intelligence (AI) services designed for developers and data scientists to do more with less. Take advantage of responsible AI practices, decades of breakthrough research, and flexibility that Azure AI offers to build and deploy your own AI solutions. Engage with Microsoft leaders and product experts to acquire the knowledge to access and integrate high-quality vision, speech, language, and decision-making AI models through simple API (application programming interfaces) calls in your apps and services and create your own machine learning models with tools like Jupyter Notebooks, Visual Studio Code, and open-source frameworks like TensorFlow and PyTorch. Don’t miss the opportunity to learn about Azure OpenAI Service Take a deep dive into Azure Machine Learning, Azure cognitive services and applied AI services You will gain insight into: Azure Machine learning: an end-to-end platform for building, training, and deploying machine learning models. Apply principles and practices for responsible AI. Cognitive services: a comprehensive family of customizable cognitive APIs for vision, speech, language, and decision making including Azure OpenAI Service including ChatGPT, with the most comprehensive portfolio of AI capabilities. Learn how to build apps to achieve human parity in computer vision, speech, and language. GTM Guidance: learn how to modernize business processes with task-specific AI to solve common scenarios. Run responsibly anywhere with security that extends from the cloud to intelligent edge. Bootcamp prerequisites This is an intermediate to advanced level training event. Participants should be familiar with and have some work experience with Azure, ability to navigate the Azure portal and foundational knowledge of Azure services. In addition, having knowledge of the relevant role-based certification content (passing the exam-AI Fundamentals is not required) is suggested. Participants can prepare using the following options: Study the relevant role-based content available on Microsoft Learn Introduction to AI technology - Training | Microsoft Learn Get started with AI on Azure - Training | Microsoft Learn Attend a Cloud Week for Partners event and select the appropriate role-based track If your organization is part of the Microsoft Learn Enterprise Skills Initiative (ESI), attend a formal Microsoft Official Course (MOC) through the ESI Learning Portal LXP Find free self-paced learning content and technical documentation related to the workshop topics at Microsoft Learn Octalita Stankovic Partner Channel Marketing Manager Microsoft IrelandSpanish Point feature in Day 4 of Our Customer Cloud Success Advent Calendar
On Day 4 of Microsoft Irelands Customer Cloud Success Advent Calendar, read how Spanish Point Technologies helped FoodCloud to achieve cost savings and enhance their software performance with the use of Microsoft Azure and their SMART AIM framework. Read all about the challenge, solution and business impact HERE. If you would like your customer success story to feature in our Customer Cloud Success Advent Calendar 2023, please submit using THIS SHORT FORM.
* EVENT * Microsoft Discovery Day: Building AI-powered Applications, November 14th
Would you like to learn how to gain competitive differentiation leveraging the combined powered of cloud computing, data, and AI? Join our free digital event on November 14th to learn about real-life use cases from Microsoft experts and customers and discover how to make applications more intelligent and impactful. With advanced AI capabilities, modern container services, and cloud-scale databases, you’ll be able to build, deploy, and scale applications with speed, flexibility, and enterprise-grade security. Who should attend: Technology leaders of software and application development such as CTO, Director of Engineering, Chief Architect, Engineering Manager, Tech Lead Product leaders such as Chief Product Officer, Director of Product, Product Manager Data and AI leaders such as Chief Data Officer, Head of Data & AI, Director of AI REGISTER NOW FOR THIS EVENT
