Build a strong foundation in Microsoft Azure while understanding how Artificial Intelligence solutions are hosted, managed, and scaled in the cloud through structured learning and practical exercises.
Learn core Microsoft Azure cloud concepts and services
Create and manage virtual machines, storage, and cloud resources
Understand cloud security, identity, and compliance in Azure
Explore how AI and machine learning integrate with Azure services
Beginner-friendly — no prior cloud or AI experience required
Complete beginners who want to learn Microsoft Azure and cloud computing fundamentals
Students and job seekers preparing for entry-level cloud or IT infrastructure roles
IT professionals looking to build foundational skills in Azure cloud services
Career changers transitioning into cloud computing or AI-related technology fields
Cloud support and operations professionals seeking Azure platform knowledge
Anyone interested in understanding how Artificial Intelligence workloads run on cloud platforms
Learn Microsoft Azure cloud fundamentals and core platform services
Delivered using OCA’s Skill Sprint™ Method with hands-on practice and instructor-led feedback
Create and manage Azure Virtual Machines, storage, and cloud resources
Understand Azure security, identity management, and compliance fundamentals
Explore Artificial Intelligence and Machine Learning concepts in the Azure ecosystem
Understand AI infrastructure on Azure including GPU instances and AKS
Complete practical exercises connecting cloud infrastructure with AI workloads
Azure Fundamentals with AI is a practical, beginner-friendly program designed to build a strong foundation in Microsoft Azure cloud services while introducing how Artificial Intelligence solutions operate within the Azure ecosystem. The course provides a structured introduction to core cloud concepts such as Azure resource management, virtual machines, storage, and security, while also helping learners understand how modern AI workloads are supported by cloud infrastructure.
Through guided learning and hands-on practice, participants develop the ability to navigate the Azure Portal, manage cloud resources, deploy virtual machines, and configure storage and database services. The program also introduces essential AI and machine learning concepts and explains how Azure enables scalable AI solutions using services such as Azure AI, Azure Machine Learning Compute, GPU-enabled virtual machines, and Azure Kubernetes Service (AKS).
Upon completion, learners gain a solid understanding of cloud architecture and AI infrastructure within Azure environments. The course prepares participants to support cloud-based AI initiatives, build foundational cloud engineering skills, and progress toward advanced Azure, AI, or data science learning paths.
The following basic skills are recommended to maximize learning outcomes:
Comfort using a computer (file navigation, browser usage, and basic typing)
Familiarity with basic IT concepts and internet-based applications
No prior experience with Microsoft Azure or cloud computing required
No programming or Artificial Intelligence background required
Interest in learning cloud technologies and modern AI-enabled infrastructure
Willingness to participate in hands-on demonstrations and assignments
By the end of this course, you will be able to:
Understand core cloud computing concepts and Microsoft Azure fundamentals
Navigate and manage resources using the Azure Portal
Create and configure Azure Virtual Machines for cloud workloads
Understand Azure storage services and database options for cloud applications
Apply basic security, identity, and compliance concepts within Azure environments
Explain key Artificial Intelligence and Machine Learning concepts
Understand how Azure AI services support AI-driven applications
Identify infrastructure options for AI workloads including GPU-enabled virtual machines and AKS
Understand the role of Azure Machine Learning Compute in scalable AI environments
Recognize common Azure-based AI use cases across industries
Apply Azure cloud services to support AI-enabled solutions
Build a strong foundation for progressing to advanced Azure, AI, or cloud engineering training
This course prepares learners for foundational and early-career roles that combine cloud computing knowledge with AI awareness. After completing the training, learners will be better prepared for positions such as:
Cloud Support Associate
Junior Cloud Engineer
Azure Cloud Associate
Cloud Operations Analyst
AI Support Engineer (Entry-Level)
IT Support Specialist (Cloud & AI)
Cloud Technology Associate
Learn through focused Skill Sprints built around practical application and real-world tasks.
Cloud computing and Artificial Intelligence are transforming how organizations build, deploy, and scale modern applications. Companies across industries such as technology, finance, healthcare, retail, manufacturing, and government are increasingly adopting cloud platforms like Microsoft Azure to host applications, manage data, and power AI-driven solutions. As organizations accelerate their cloud-first strategies, professionals who understand both cloud infrastructure and AI fundamentals are becoming highly valuable.
Modern businesses are not only migrating their systems to the cloud but also integrating Artificial Intelligence capabilities into applications, analytics platforms, and automation workflows. This shift requires professionals who understand how cloud environments operate, how resources are managed, and how AI workloads are deployed and supported within platforms like Azure.
This course addresses the growing demand for:
Professionals with foundational knowledge of Microsoft Azure cloud services
Cloud support and infrastructure roles supporting AI-enabled systems
Entry-level pathways into cloud computing and AI-related careers
Workforce upskilling for cloud adoption and AI readiness
Professionals preparing for advanced Azure, AI, or data science learning paths
Understanding cloud infrastructure combined with AI awareness is rapidly becoming an essential skill set in today’s technology-driven workforce. This course provides a practical starting point for learners who want to build a strong cloud foundation while gaining exposure to the growing role of AI in modern cloud platforms.
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