This Microsoft Azure AI Training provides hands-on experience with Azure AI services, Azure Machine Learning, Azure Bot Service, and AI workflow automation. You will learn to develop intelligent applications, deploy machine learning models, build conversational AI solutions, integrate Azure AI with enterprise services, monitor AI workloads, and apply responsible AI practices for real-world business scenarios.
Prerequisites:
- Basic understanding of cloud computing and Microsoft Azure
- Familiarity with programming concepts (Python or C# preferred)
- Basic knowledge of data handling and preprocessing
- Interest in AI and machine learning (ML) fundamentals
- No prior AI experience required
What You Will Learn:
- Microsoft Azure AI platform overview
- Azure Cognitive Services: vision, speech, language, decision-making
- Building and deploying machine learning models with Azure ML
- Creating chatbots using Azure Bot Service and LUIS
- Data preprocessing and feature engineering
- Responsible AI principles: fairness, privacy, ethics
- Automating AI workflows and pipelines
- Integrating AI with Azure Functions and Power Platform
- Monitoring and optimizing AI models in production
- Preparing for AI certifications AI-900 and AI-102
Tools and Technologies Covered
- Microsoft Azure Portal
- Azure Machine Learning Studio
- Azure Cognitive Services (Vision, Speech, Language)
- Azure Bot Service
- Python & R for AI/ML
- Jupyter Notebooks
- Azure Databricks
- APIs & REST services
- Model Deployment & Monitoring
Career Opportunities After Completing Microsoft AI Training
- Azure AI Engineer
- Data Scientist
- AI/ML Developer
- Cloud Solutions Architect
- AI Consultant
- Chatbot Developer
- MLOps Engineer
