Advanced Microsoft Azure with AI 

Course Overview

Azure Machine Learning Service, Data Preparation and Processing, Building Machine Learning Models, Deploying Machine Learning Models, Cognitive Services, Natural Language Processing (NLP) with Azure

Launch your career in Advanced Microsoft Azure with AI by developing in-demand skills and become job-ready in 30 hours or less.

Highlights
Upgrade your career with top notch training

• Enhance Your Skills: Gain invaluable training that prepares you for success.
• Instructor-Led Training: Engage in interactive sessions that include hands-on exercises for practical experience.
• Flexible Online Format: Participate in the course from the comfort of your home or office.
• Accessible Learning Platform: Access course content on any device through our Learning Management System (LMS).
• Flexible Schedule: Enjoy a schedule that accommodates your personal and professional commitments.
• Job Assistance: Benefit from comprehensive support, including resume preparation and mock interviews to help you secure a position in the industry.

Outcomes 

Upon successfully completing the Advanced Python Training course, participants will gain:

• Advanced Understanding of Microsoft Azure: A deep understanding of advanced Azure concepts, services, and features.
• Integration of AI with Azure: Learners will acquire skills in integrating artificial intelligence services within Microsoft Azure.
• Proficiency in Azure Machine Learning: Understand how to use Azure Machine Learning to develop, train, and deploy machine learning models, covering key concepts such as model evaluation and optimization.
• Utilization of Cognitive Services: Participants will learn how to implement Azure Cognitive Services to add AI capabilities to applications, including natural language processing, computer vision, and speech recognition.
• Data Management and Preparation: Gain hands-on experience in managing data within Azure, including using Azure Data Factory for data integration and preparation.
• Security Best Practices: Understand Azure security features and compliance requirements related to deploying AI applications, ensuring data protection and responsible AI practices.
• Development of Scalable Solutions: Learn how to build and deploy scalable AI solutions on Azure, focusing on performance optimization and cost management strategies.
• Collaboration and DevOps Practices: Gain familiarity with collaborative tools and DevOps practices in Azure, including CI/CD pipelines for deploying AI solutions efficiently.

About 
The “Advanced Microsoft Azure Fundamentals with AI” course is designed for IT professionals and developers who have a foundational understanding of Microsoft Azure and wish to expand their knowledge to include advanced Azure services and AI (Artificial Intelligence) capabilities. This course is intended for IT professionals, developers, and solutions architects who have a foundational understanding of Microsoft Azure and seek to advance their knowledge in integrating AI technologies within the Azure ecosystem.
This advanced training course is designed for IT professionals and developers who want to deepen their knowledge and expertise in integrating Artificial Intelligence (AI) with Microsoft Azure. The course covers advanced concepts and practical applications of Azure’s AI and machine learning services, focusing on building and deploying AI solutions in the cloud. Participants will learn to leverage Azure’s AI tools and frameworks to create intelligent applications that can analyze, interpret, and act on data.

Key Learnings

• Gain in-depth knowledge of advanced Microsoft Azure services, including Azure Functions, Azure Kubernetes Service, and Azure SQL Database, along with their practical applications.
• Understand how to integrate artificial intelligence capabilities within Azure, applying AI services to enhance the functionality of cloud applications.
• Learn to create, train, evaluate, and deploy machine learning models using Azure Machine Learning, focusing on best practices and effective methodologies.
• Understand data ingestion, preparation, and transformation techniques using Azure Data Factory, and learn how to manage data for use in AI applications.
• Acquire knowledge of security best practices, including identity management with Azure Active Directory and securing Azure resources in compliance with regulations.
• Learn strategies for deploying scalable and efficient AI solutions on Azure, ensuring optimal performance and cost-effectiveness.
• Gain insights into DevOps principles for continuous integration and continuous deployment (CI/CD) of Azure applications, enhancing collaboration among team members.

Pre-requisites

• Basic knowledge of Microsoft Azure services
• Understanding of fundamental AI and machine learning concepts
  Azure fundamentals with AI training.
• Job roles and career paths 

This training will equip you for the following job roles and career paths:

• Cloud Engineer
• AI Engineer
• Data Scientist
• Azure Developer
• Data Engineer

Advanced Microsoft Azure with AI
The demand for advanced training in Microsoft Azure with AI is robust and growing. Organizations are seeking skilled professionals who can harness the power of Azure’s cloud and AI technologies to drive innovation, optimize operations, and gain a competitive advantage. As cloud and AI technologies continue to evolve, the need for expertise in these areas will likely increase, making advanced training and certifications valuable investments for both individuals and businesses.

Instructor 
Our trainers are seasoned professionals with years of real-world experience in cloud computing and artificial intelligence. As subject matter experts, they bring a wealth of knowledge from diverse industry projects. Our instructors are committed to sharing their insights and practical experiences across various domains to provide students with a comprehensive understanding of how cloud technologies and AI can be applied in real-world scenarios. With their guidance, you’ll gain not only technical skills but also the contextual knowledge necessary to excel in today’s competitive landscape.
Resources
Downloads:
https://azure.microsoft.com/en-us/get-started/azure-portal
Blogs:
https://ohiocomputeracademy.com/category/cloud-computing/