About Course
The Azure with Artificial Intelligence courseprovides in-depth training on Microsoft Azure AI services and modern AI/ML workflows in the cloud. Students learn how to build, deploy, and manage intelligent applications using Azure Cognitive Services, Azure Machine Learning, Generative AI tools, and automation frameworks. The course covers real-time AI integration, NLP, computer vision, conversational bots, data engineering pipelines, and industry applications. By the end of the training, learners gain hands-on experience working on end-to-end AI projects deployed on Azure cloud platforms.
Key Features:
- Instructor-led, fully practical training
- Hands-on labs with Azure AI Services
- Real-time end-to-end AI project deployment
- Training aligned with Microsoft certifications
- 24/7 LMS access and downloadable resources
- Industry-level use cases and assignments
Skills You Will Gain:
- Cloud AI architecture and Azure ecosystem understanding
- Building AI models using Azure Machine Learning Studio
- Using Azure Cognitive Services: Vision, Speech, Language, Search
- Bot development using Azure Bot Service
- Integrating AI with applications using APIs & SDKs
- Working with Azure Data Factory and Databricks for ML pipelines
- Deploying machine learning models in production
Tools Covered:
- Azure Machine Learning Studio (ML Studio)
- Azure Cognitive Services
- Azure OpenAI Service
- Azure Bot Services
- Azure Data Factory (ADF)
- Azure Databricks
- Azure Functions & Logic Apps
Syllabus:
Module 1: Introduction to Azure & AI
- Azure architecture, services, resource groups
- Fundamentals of cloud AI and ML
Module 2: Azure Machine Learning Studio
- Workspaces, datasets, pipelines
- Creating and training ML models
Module 3: Azure Cognitive Services
- Vision, Speech, Language, Decision APIs
- Integrating AI APIs with applications
Module 4: Azure OpenAI & Generative AI
- GPT models, embeddings, prompt engineering
- Creating AI-powered apps using Azure OpenAI
Module 5: Natural Language Processing (NLP) on Azure
- Text analytics, summarization, Q&A
- Language understanding (LUIS)
Module 6: Computer Vision Implementation
- Object detection, OCR, image analysis
- Custom vision training and deployment
Module 7: Speech & Conversational AI
- Speech-to-text, text-to-speech
- Azure Bot Service and conversational interfaces
Module 8: Data Engineering for AI
- Data pipelines using ADF
- Databricks for ML data preparation
Module 9: Model Deployment & MLOps
- Model registration, versioning
- CI/CD pipelines for ML models
Module 10: Real-Time AI Application Development
- Integrating AI with web/mobile apps
- End-to-end AI project deployment
Live Projects:
- AI-powered Chatbot using Azure Bot Services
- Image Classification using Azure Custom Vision
- Sentiment Analysis & NLP App using Azure Cognitive Services
- Voice-based Search & Automation using Speech Services
- End-to-end ML Pipeline using Azure ML + ADF
- Generative AI Application using Azure OpenAI Models
WHO IS THIS PROGRAM FOR?
- Btech Graduastes and Professionals
- Freshers and Exprience Holders
- AI Ingineers and Management Teams
- Recruitment & Staffing Professionals
- Project & Service Delivery Managers
HOW TO APPLY:
Mobile: +91 9100348679
Email: coursedivine@gmail.com
