Azure AI Training Courses

Overview of Azure AI Applied Skills• Understanding applied AI workloads on Azure• Selecting the right Azure AI service for a use case• Mapping business problems to AI solutionsApplying Computer Vision Solutions• Image analysis and classification• Optical chara...

• IT professionals and cloud practitioners
• Developers and application engineers
• Data analysts and technical consultants
• Solution architects and system integrators
• Professionals working on AI-enabled projects

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Azure AI Applied Skills Training, validating their ability to apply Azure AI services in practical, real-world scenarios.

Prerequisites: • Completion of Azure AI Fundamentals or equivalent knowledge• Basic understanding of cloud concepts• Familiarity with business or application workflows

Introduction to Artificial Intelligence• What is AI and how it is used• Common AI workloads and scenarios• Responsible AI principlesMachine Learning Concepts• Supervised, unsupervised, and reinforcement learning• Regression, classification, and clustering• Azu...

• Business professionals and decision-makers
• Students and beginners in AI and cloud technologies
• IT professionals exploring AI concepts
• Sales, marketing, and non-technical roles supporting AI projects
• Anyone preparing for the AI-900 certification exam

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Azure AI Fundamentals Training, validating their foundational understanding of AI concepts and Azure AI services.

Prerequisites: • Basic computer literacy• Familiarity with cloud concepts is helpful• No prior AI, machine learning, or programming experience required

Foundations of Azure ML & Azure OpenAI Integration• Role of Azure ML and Azure OpenAI in modern AI applications• Understanding the AI application lifecycle• Selecting the right services for use casesModel Development with Azure Machine Learning• Data preparati...

• AI and machine learning engineers
• Application developers and cloud engineers
• Solution architects and system integrators
• Data scientists and ML practitioners
• Technical leads building AI-powered applications

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Azure ML & Azure OpenAI Applications Training, validating their expertise in building and deploying AI-powered applications on Azure.

Prerequisites: • Completion of Azure AI Applied Skills or equivalent experience• Basic understanding of machine learning and cloud concepts• Familiarity with application or solution architecture