Build Real DP-100 Skills with Azure Machine Learning

Описание: 🔴 Build Real DP-100 Skills with Azure Machine Learning
📅 February 24 · 5 PM IST – Set Reminder ▶️

As organizations accelerate their AI adoption, the demand for professionals who can design, train, deploy, and manage machine learning solutions on Azure continues to rise. DP-100 is more than an exam — it represents the real-world skills needed to build production-grade ML workflows on the Microsoft cloud.

This session introduces a practical, hands-on framework for mastering Azure Machine Learning and related Azure AI services. Instead of theoretical overviews, the focus is on applied skills: using AML for experimentation and deployment, leveraging MLflow for tracking, integrating Azure’s AI services, and building modern solutions with Azure AI Foundry.

Led by Dr. Suraj Shete, Senior Corporate Trainer, this session equips participants with the technical competence and confidence required to succeed in DP-100—and in real enterprise ML environments.

🔍 What you’ll learn:

1. Azure Machine Learning

Understanding the Azure ML workspace, compute targets, environments, and pipelines.
How to perform data preparation, feature engineering, training, and model evaluation.
Experimentation workflows, versioning, and reproducibility techniques.
Deploying models as real-time and batch endpoints for enterprise use cases.

2. MLflow

Tracking experiments, parameters, metrics, and artifacts with MLflow.
How MLflow integrates seamlessly with Azure Machine Learning.
Managing model lifecycle using MLflow Tracking, Projects, and Model Registry.
Ensuring traceability and governance across ML workflows.

3. Azure AI Services

Overview of Azure Cognitive Services and their role in real-world solutions.
Incorporating vision, language, speech, and decision APIs into ML pipelines.
Combining custom ML models with prebuilt Azure AI capabilities.
Accelerating solution development with ready-to-use AI components.

4. Azure AI Foundry

Exploring Azure AI Foundry as a unified environment for modern AI development.
Understanding how Foundry supports model building, evaluation, deployment, and monitoring.
Integrating foundation models and generative AI capabilities into projects.
How Foundry enhances collaboration, governance, and responsible AI practices.

5. Real-World Scenarios & DP-100 Readiness

Building end-to-end ML workflows using Azure tools and services.
Practical demonstrations aligned with DP-100 exam objectives.
How enterprises use Azure ML to operationalize machine learning at scale.
Key areas to focus on for hands-on exam success and workplace application.

🎯 Who should attend?
Data scientists, ML engineers, and AI practitioners
Azure professionals preparing for the DP-100 exam
Developers building machine learning workflows on Azure
Anyone seeking hands-on, cloud-based AI development skills

Speaker:
Dr. Suraj Shete
Senior Corporate Trainer | Koenig Solutions Pvt. Ltd.

📢 Follow & Learn More:
🔗 Koenig Solutions: https://www.koenig-solutions.com
🔗 LinkedIn:   / koenig-solutions  
🔗 Facebook:   / koenigsolutions  
🔗 Instagram:   / koenigsolutions  
🔗 Twitter (X): https://x.com/KoenigSolutions
🔗 Upcoming Webinars: https://www.koenig-solutions.com/upco...

🧠 If you want to build production-ready ML solutions — and develop real DP-100 skills — this session gives you a framework that actually works at work.

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