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.
Overview
Azure Fundamentals with AI training provides a foundational understanding of Microsoft Azure’s cloud services and its artificial intelligence (AI) capabilities. The course covers:
- Basics of Cloud computing
- Explores various Azure services
- Provides basic concepts of Artificial Intelligence and Machine learning
- Explains Azure AI infrastructure and tools
- Hands-on lab
The training is suitable for beginners aiming to start a career in cloud computing and AI, as well as professionals looking to enhance their technical skills.
Demand for Azure with AI
The demand for Azure with AI 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.
Course Details
Course content
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
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
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
General 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
Introduction to Azure AI
What is Azure AI?
Benefits of Azure AI
Azure AI vs. Other AI Platforms
Getting Started with Azure AI
Azure AI Infrastructure
GPU instances and AI model training
Azure Kubernetes Service (AKS) for containerized AI workloads
Azure Machine Learning Compute for scalable training
Pre-requisites
Basic knowledge of computer systems.
Basic knowledge of MS Excel.
No coding experience required.
Instructors
Our Trainers have years of real-time experience in cloud implementations and Artificial Intelligence. We are subject matter experts, as proven by our extensive experience.
Instructors share their work experience in various domains to help students gain perspective on how Cloud and AI work in the industry.
Certificate
After the completion of the course and the exam, you will be awarded with the course completion certificate.
RESOURCES
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Download python from: http://www.python.org/downloads
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