Advanced MS Azure with AI
Take your cloud skills to the next level by mastering advanced Azure services and integrating powerful AI capabilities. This course dives deep into intelligent application development, machine learning deployment, and cognitive service integration—empowering you to build scalable, secure, and AI-driven cloud solutions. Designed for professionals with a solid Azure foundation, this course blends hands-on labs with real-world projects to prepare you for cutting-edge roles in cloud and AI.
Mode of Training
Online – Virtual (Live, Instructor Led, Real-Time Learning with Q&A and Discussions)
Certification
After the completion of the course and the exam, you will be awarded the course completion certificate. This course also guides and encourages participants to take the Azure AI Engineer Associate certification.
Duration
48 hours (24 hours of Instructor-led training plus 24 hours of student practice)
This course is ideal for:
- Cloud developers and solution architects who want to deepen their understanding of advanced Azure services and integrate AI capabilities into cloud-native applications.
- AI and machine learning practitioners looking to operationalize ML models using Azure Machine Learning, Data Factory, and Cognitive Services.
- IT professionals and DevOps engineers seeking hands-on experience with intelligent app development, MLOps, and scalable deployment in Azure environments.
- Software engineers and app developers aiming to build intelligent, data-driven applications using Azure AI, Cognitive Services, and cloud-based data management tools.
- Tech professionals with prior Azure experience who want to specialize in building secure, compliant, and high-performance AI solutions in the Microsoft cloud.
- Teams transitioning from traditional app development to intelligent cloud applications using agile and DevOps methodologies within Azure.
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
By the end of this course, participants will be equipped with:
- 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.
Course Content
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About
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Key Learnings
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Pre-requisites
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Job roles and career paths
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Curriculum
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.
This course empowers participants with advanced cloud development skills and the ability to integrate AI into Azure-based solutions. Through practical exercises and real-world projects, learners will gain expertise in the following key areas:
- 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.
- Basic knowledge of Microsoft Azure services
- Understanding of fundamental AI and machine learning concepts
- Azure fundamentals with AI training.
This training will equip you for the following job roles and career paths:
- Cloud Engineer
- AI Engineer
- Data Scientist
- Azure Developer
- Data Engineer
Module 1: Introduction to Advanced Azure Concepts
- Overview of advanced Microsoft Azure services and architecture
- Understanding Azure Resource Manager (ARM) and resource groups
- Review of Azure fundamentals and key services
- Setting up your Azure environment for development
Module 2: Core Services in Azure
- In-depth exploration of Azure compute options (VMs, Azure Functions, App Services)
- Advanced storage solutions in Azure: Blob Storage, Data Lake Storage, and SQL Database
- Networking in Azure: Virtual Networks, Load Balancers, and VPNs
Module 3: Introduction to Artificial Intelligence
- Fundamentals of artificial intelligence and machine learning concepts
- Overview of AI applications in various industries
- Importance of responsible AI and ethical considerations
Module 4: Azure AI Services
- Detailed study of Azure Cognitive Services:
- Vision: Computer Vision, Face API, and Content Moderator
- Speech: Speech Recognition, Speech Synthesis
- Language: Text Analytics, Translator, Language Understanding (LUIS)
- Decision: Anomaly Detector and Personalizer
- Hands-on exercises using Cognitive Services
Module 5: Data Management and Preparation
- Introduction to Azure Data Factory for ETL processes
- Data ingestion techniques from various sources
- Using Azure SQL Database and Cosmos DB for data management
- Preparing data for machine learning models
Module 6: Building and Deploying Machine Learning Models
- Overview of Azure Machine Learning services
- Creating and training models using Azure ML Studio
- Understanding model evaluation, tuning, and deployment
- Best practices for managing and monitoring machine learning operations (MLOps)
Module 7: Developing Intelligent Applications
- Introduction to building intelligent applications using Azure services
- Case studies demonstrating the integration of AI features into applications
- Hands-on project: Developing a sample application that leverages Azure AI services
Module 8: Security and Compliance
- Understanding security features in Azure: Identity and access management
- Implementing Azure Active Directory for authentication and authorization
- Overview of compliance offerings within Azure
Module 9: Best Practices in Application Development
- Development methodologies: Agile, DevOps, and CI/CD in the Azure environment
- Performance optimization techniques for cloud applications
- Tools and resources for deploying and maintaining Azure applications
Demand for 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.
FAQS
This course is designed for IT professionals, cloud engineers, and developers who want to deepen their expertise in Microsoft Azure and AI integration. It is also ideal for data scientists and solution architects aiming to build intelligent, secure, and scalable cloud applications.
The course is designed to be completed in approximately 48 hours, which includes 24 hours of instructor-led training and 24 hours of student practice.
While this course is designed for learners with some foundational knowledge of Azure, it is recommended that participants complete an introductory course such as “Microsoft Azure Fundamentals“ before enrolling in this advanced course.
Participants will learn advanced Azure services, how to integrate artificial intelligence with Azure applications, data management strategies, machine learning concepts, and best practices for building scalable and secure solutions.
Yes, participants will receive a certificate of completion.
Participants will utilize Microsoft Azure’s cloud platform, including Azure Machine Learning, Azure Cognitive Services, and various development tools available within the Azure ecosystem.
Yes, the course is offered in an online format, allowing you to participate from anywhere with an internet connection.
Participants will have access to instructor support throughout the course, along with resources to facilitate learning, including assignments, and exercises.
To enroll in this course, please email us at enroll@ohiocomputeracademy.com.
Yes, discounts may be available for group registrations. Please contact us at enroll@ohiocomputeracademy.com for more details on group pricing options.
While this course is aimed at those with some background in Azure, it is beneficial for individuals who are eager to further their skills. It is recommended to complete foundational courses prior to enrollment.
Participants will be well-equipped to pursue roles such as Cloud Engineer, AI Engineer, Data Scientist, or Machine Learning Engineer, enhancing their career prospects in the growing field of cloud computing and artificial intelligence.
