Instructor Led Course : ML and AI With Azure (60 Hours)
Instructor-Led Course: ML and AI with Azure (60 Hours) This comprehensive program is designed for professionals and aspiring data scientists who want to master Machine Learning (ML) and Artificial Intelligence (AI) using Microsoft Azure’s powerful ecosystem. Over 60 hours of …
Overview
Instructor-Led Course: ML and AI with Azure (60 Hours)
This comprehensive program is designed for professionals and aspiring data scientists who want to master Machine Learning (ML) and Artificial Intelligence (AI) using Microsoft Azure’s powerful ecosystem. Over 60 hours of guided training, participants will gain hands-on expertise in building, deploying, and managing intelligent applications on the Azure platform.
Course Highlights:
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Foundations of ML & AI: Core concepts, supervised/unsupervised learning, deep learning, and neural networks.
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Azure Machine Learning Studio: End-to-end model development, training, and deployment.
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AI Services on Azure: Cognitive Services (Vision, Speech, Text, and Language APIs) and responsible AI practices.
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Data Engineering for AI: Preprocessing, feature engineering, and integration with Azure Data Lake & Databricks.
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MLOps on Azure: Model monitoring, versioning, and automated deployment pipelines.
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Real-World Projects: Apply skills in practical use cases such as predictive analytics, natural language processing, and computer vision.
Learning Outcomes:
By the end of this course, learners will be able to:
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Design and implement ML/AI solutions using Azure services.
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Operationalize ML models with Azure MLOps.
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Build intelligent applications leveraging pre-trained AI models.
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Optimize cloud-based AI solutions for performance, scalability, and cost-efficiency.
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Prepare for Microsoft Certified: Azure AI Engineer Associate and related certifications.
Who Should Enroll:
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Data Scientists, AI/ML Engineers, Cloud Professionals
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Developers and Analysts exploring AI career growth
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IT professionals aiming to integrate AI into business solutions
Curriculum
Curriculum
- 16 Sections
- 51 Lessons
- 60 Hours
- Introduction to AI and Azure Ecosystem5
- Data Preparation and Exploration4
- Machine Learning Workflow in Azure4
- Supervised Learning Models3
- Unsupervised Learning Models2
- Natural Language Processing (NLP)4
- Computer Vision3
- Deep Learning with Azure3
- Generative AI and Foundation Models3
- Model Deployment and Monitoring3
- Responsible AI3
- Time Series Analysis3
- Advanced Topics in ML3
- Industry Use Cases4
- Capstone Project2
- Capstone Project3





