Azure Fundamentals with AI
Azure Fundamentals with AI course is designed to introduce students to the basic concepts and services of Microsoft Azure, with a special focus on artificial intelligence (AI). This course provides a comprehensive understanding of cloud computing fundamentals, Azure services, and how to integrate AI solutions within the Azure ecosystem. It is suitable for beginners looking to start a career in cloud computing and AI or professionals seeking to enhance their skill set.
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.
Duration
32 hours (16 hours of Instructor-led training plus 16 hours of student practice)
This course is ideal for:
- Beginners exploring cloud technologies: Individuals who are new to cloud computing and want to build a solid foundation in Microsoft Azure.
- IT professionals and system administrators: Those looking to understand Azure infrastructure, virtual machines, and cloud storage.
- Aspiring cloud engineers and architects: Learners preparing for a career in Azure-based cloud roles, including support and solution design.
- Business and technical decision-makers: Professionals seeking a high-level understanding of Azure’s cloud capabilities and its AI/ML integrations.
- Developers and data professionals: Those interested in deploying AI models and services using Azure tools and infrastructure.
- Students and career changers: Individuals pursuing certifications like Microsoft Certified: Azure Fundamentals (AZ-900) while gaining exposure to AI applications in the cloud.
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:
- Understanding Azure Fundamentals: Gain a solid foundation in Microsoft Azure’s core concepts, services, and architecture, preparing them for further cloud-related learning.
- Familiarity with Azure Services: Explore various Azure services, including computing, storage, networking, and databases, understanding their functionalities and use cases.
- Introduction to Artificial Intelligence: Gain a foundational understanding of artificial intelligence concepts and how they can be integrated into Azure applications.
- Hands-On Experience with Azure AI Tools: Become familiar with Azure’s AI services, such as Azure Cognitive Services and Azure Machine Learning, applying these tools to solve real-world problems.
- Data Handling and Preparation: Understand how to collect, prepare, and manage data effectively in the Azure cloud environment, enabling users to harness data for AI applications.
- Building Intelligent Applications: Participants will learn how to build simple intelligent applications using Azure services that incorporate AI capabilities, such as natural language processing, computer vision, and recommendation systems.
- Understanding Machine Learning Basics: Gain insights into machine learning concepts, including model training, testing, and deployment using Azure Machine Learning services.
- Security and Compliance Knowledge: Participants will understand the security features and compliance standards associated with using Azure services, allowing them to implement best practices for secure cloud applications.
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
Azure Fundamentals with AI course is designed to introduce students to the basic concepts and services of Microsoft Azure, with a special focus on artificial intelligence (AI). This course provides a comprehensive understanding of cloud computing fundamentals, Azure services, and how to integrate AI solutions within the Azure ecosystem. It is suitable for beginners looking to start a career in cloud computing and AI or professionals seeking to enhance their skill set.
- Understand the core concepts of cloud computing, including its models (IaaS, PaaS, SaaS) and benefits for businesses and developers.
- Gain hands-on experience using the Azure portal, managing resources, and navigating Azure's environment to effectively utilize its services.
- Learn about Azure’s compute, storage, and networking services, including Virtual Machines, Azure App Services, and Azure Storage options.
- Understand the fundamentals of artificial intelligence, including key concepts related to machine learning, neural networks, and ethical considerations in AI.
- Master the use of Azure Cognitive Services to integrate AI capabilities such as image recognition, text analysis, and natural language processing into applications.
- Learn how to collect, clean, and prepare data for use in AI applications, using tools like Azure Data Factory and Azure SQL Database.
- Familiarize yourself with Azure’s security features, including Azure Active Directory, and learn best practices for securing cloud applications and data.
- Basic computer skills. Participants should have a general understanding of using computers, including navigating the operating system, managing files, and using web browsers.
- Basic Programming Knowledge (Optional)Although not mandatory, familiarity with programming concepts (especially in languages like Python) may beneficial.
This training will equip you for the following job roles and career paths:
- Azure Cloud Engineer
- Cloud Solutions Architect
- Data Engineer
- AI/ML Engineer
- Azure AI Engineer
Module1. Getting started
- What is cloud computing?
- What is Azure?
- Managing Azure
- Subscription management, support, and billing
- Customizing the Azure portal interface
- Viewing billing, usage, and quotas data
- Virtual machines in Microsoft Azure
Module2. Creating and configuring Azure VMs
- Configuring Azure VM storage
- Creating a VM from the Azure portal using an Azure Marketplace image
- Verifying the functionality of the VM
- Configuring storage of a VM
Module 3. Exploring Azure Storage
- Understanding Azure Blob Storage for data storage
- Azure File Storage for sharing data
- Understanding options for relational database deployments
- Creating and connecting to Azure SQL databases
- Creating and configuring an Azure Storage account
Module 4: Security and Compliance in Azure
- Understanding Azure security features and compliance tools
- Best practices for securing Azure resources
- Overview of Azure Active Directory and Identity Management
Module 5. Introduction to AI and ML
- Define what AI and ML are.
- Explain the differences between AI and ML
- Provide historical context and milestones in AI and ML
- Supervised, unsupervised, and reinforcement learning
- Training data, testing data, and validation data
Module 6. Introduction to Azure AI
- What is Azure AI?
- Benefits of Azure AI
- Azure AI vs. Other AI Platforms
- Getting Started with Azure AI
Module 7. Azure AI Infrastructure
- GPU instances and AI model training.
- Azure Kubernetes Service (AKS) for containerized AI workloads.
- Azure Machine Learning Compute for scalable training.
Demand of Azure Fundamentals with AI
The demand for Azure Fundamentals with AI training is substantial and continues to grow as organizations of different sizes are migrating to cloud platforms like Azure. Employers seek professionals with a solid understanding of cloud services and AI, making Azure Fundamentals with AI training valuable for job seekers. This trend is reflected in the job market’s preference for candidates with expertise in these areas, making this training highly relevant and valuable for both new entrants and seasoned professionals in the tech industry.
FAQs
The course is designed to be completed in approximately 32 hours, which includes 16 hours of instructor-led training and 16 hours of student practice.
No, this course is designed for beginners. Basic computer skills are required, and familiarity with a programming language is optional but would be beneficial.
Participants will learn the fundamentals of Microsoft Azure, explore core Azure services, and gain insights into integrating artificial intelligence into applications using Azure AI services.
Yes, participants will receive a certificate of completion for the course.
Participants will use Microsoft Azure’s portal for hands-on labs, along with additional resources such as documentation and tutorials.
Yes, the course is offered in an online format, allowing you to participate from anywhere with a stable 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.
Participants will be well-prepared for the positions such as Cloud Support Associate, Data Analyst, AI Engineer, or Data Scientist, as well as further specialization in cloud computing and AI.
