rogram Overview
The Cloudzee Azure AI Fundamentals Program introduces learners to core concepts of Artificial Intelligence (AI) and Machine Learning (ML), with a focus on Microsoft Azure services. This course is ideal for both technical and non-technical professionals seeking to understand how AI solutions are built and deployed in the cloud.
Participants will explore:
- AI workloads and responsible AI principles
- Machine learning fundamentals and Azure ML services
- Computer vision and natural language processing (NLP)
- Generative AI and Azure OpenAI capabilities
Target Audience
This course is ideal for:
- Business professionals exploring AI use cases
- Beginners in cloud and AI technologies
- Students and educators
- Technical decision-makers
- Anyone preparing for the AI-900 certification exam
Course Modules
Module 1: AI Workloads & Responsible AI (15–20%)
- Identify common AI workloads: vision, NLP, document processing
- Understand generative AI and its applications
- Explore responsible AI principles:
- Fairness
- Reliability & safety
- Privacy & security
- Inclusiveness
- Transparency
- Accountability
Module 2: Machine Learning Fundamentals on Azure (15–20%)
- Understand ML techniques: regression, classification, clustering
- Explore deep learning and Transformer architecture
- Learn ML concepts: features, labels, training, validation
- Discover Azure Machine Learning capabilities:
- Automated ML
- Data & compute services
- Model deployment & management
Module 3: Computer Vision Workloads on Azure (15–20%)
- Image classification and object detection
- Optical character recognition (OCR)
- Facial detection and analysis
- Azure services:
- Azure AI Vision
- Azure AI Face Detection
Module 4: Natural Language Processing (NLP) Workloads (15–20%)
- Key phrase extraction, entity recognition, sentiment analysis
- Language modeling, speech recognition, translation
- Azure services:
- Azure AI Language
- Azure AI Speech
Module 5: Generative AI Workloads on Azure (20–25%)
- Understand generative AI models and use cases
- Explore responsible AI in generative contexts
- Azure services:
- Azure OpenAI
- Azure AI Foundry
- Azure AI Foundry Model Catalog
Lessons: