COURSE OVERVIEW
The “AI in Microsoft Azure” course is designed for developers, IT professionals, and data scientists who want to gain hands-on experience in implementing Artificial Intelligence (AI) and Machine Learning (ML) solutions using Microsoft Azure’s powerful suite of tools. With Azure’s wide range of AI and ML services, this course will provide you with the foundational knowledge and practical skills to develop, train, and deploy AI models at scale.
Whether you’re looking to integrate AI into your enterprise applications, build intelligent services, or streamline workflows, this course will enable you to leverage Azure’s AI services to enhance business performance, reduce operational costs, and create smarter user experiences.
MODULES
Introduction to AI and Microsoft Azure
• Overview of AI services in Azure
• Key Azure AI tools: Azure Machine Learning, Cognitive Services, Azure Bot Services, and Azure AI infrastructure
Getting Started with Azure Machine Learning
• Building your first model: Data preprocessing, training, and evaluation
• Deploying ML models as web services
• Working with automated machine learning (AutoML)
Azure Cognitive Services: AI Without Code
• Vision APIs: Image Recognition, Face Detection, and OCR
• Language APIs: Sentiment Analysis, Language Understanding (LUIS), and Text Analytics
• Speech APIs: Speech Recognition, Text-to-Speech, and Translation
• Decision APIs: Anomaly Detection and Personalizer
Building Intelligent Chatbots with Azure Bot Services
• Designing conversational AI: Intent recognition, dialog flow, and responses
• Integrating with Azure Cognitive Services for enhanced bot capabilities (e.g., Language Understanding, Speech)
• Deploying and managing bots across platforms (Teams, Slack, Web, etc.)
AI Model Deployment and Scaling in Azure
• Optimizing for performance: CPU/GPU resources, auto-scaling, and load balancing
• Continuous integration and deployment (CI/CD) for AI models
• Monitoring, managing, and maintaining AI solutions
Ethics and Responsible AI
• Managing bias in AI algorithms
• Azure’s Responsible AI principles and tools
COURSE ORGANISATION & TIMING
We have created a schedule for this course to match with most availabilities.
The course is modular. Courses are hands-on(25% theory, 75% practice)
- Monday - Friday (Between 10am - 5pm)
- Course Materials and Online Content Provided
- Duration is indicative and may include off-campus assignments and exams questions
- Flexible Timetable
- Special Packages + Payment Facilities
BENEFITS OF THIS COURSE
There are many benefits of becoming proficient in AI in Microsoft Azure
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