Azure ML and Azure OpenAI Training in San Francisco

Azure ML and Azure OpenAI Training in San Francisco, USA

Participants will learn how to build, train, deploy, and operate machine learning and Generative AI solutions using Microsoft Azure Machine Learning and Azure OpenAI Service.

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Azure ML and Azure OpenAI Training is a professional training program delivered by ProgNXT in San Francisco, USA. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Azure ML and Azure OpenAI Training course with hands-on, instructor-led sessions. The Azure ML and Azure OpenAI Training is a hands-on program designed to teach how to build, train, deploy, and operate machine learning and...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: JJX62
14 Hrs
Last Updated: April 2026

Course Rating5/5

The Azure ML and Azure OpenAI Training is a hands-on program designed to teach how to build, train, deploy, and operate machine learning and Generative AI solutions using Microsoft Azure Machine Learning and Azure OpenAI Service.

The course covers end-to-end ML workflows, LLM integration, MLOps, security, and production deployment, enabling teams to create scalable, secure, and enterprise-grade AI applications on Azure.

Welcome to the official Azure ML and Azure OpenAI Training certification program in San Francisco, USA. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Programming experience (Python preferred)
Familiarity with REST APIs and JSON
Basic understanding of ML and Generative AI concepts
Experience with Azure or cloud platforms is helpful

By the end of this training, participants will be able to:

Use Azure Machine Learning for ML workflows
Train, register, and deploy ML models
Integrate Azure OpenAI into applications
Build RAG and AI-powered apps on Azure
Implement MLOps and CI/CD for AI systems
Apply security, governance, and compliance on Azure

Azure Machine Learning workflows
Azure OpenAI API integration
ML model training and deployment
RAG on Azure
MLOps and ML pipelines
AI application architecture on Azure
Security and governance for Azure AI

Azure ML workflow design
Azure OpenAI integration quality
RAG and agent implementation
MLOps and monitoring setup
Security and governance practices

Participants who attend all sessions and successfully complete the course assessments will receive a ProgNXT Certificate of Completion.

Introduction to Azure ML & Azure OpenAI

Azure AI ecosystem overview
Azure ML vs Azure OpenAI roles
Typical enterprise AI architectures
Use cases for ML + Generative AI

Azure ML Workspace & Environment Setup

Azure ML workspace components
Compute instances and clusters
Data stores and datasets
Access control and networking basics

Data Preparation & Feature Engineering

Data ingestion and preprocessing
Feature engineering basics
Data versioning and lineage
Data quality considerations

Model Training with Azure ML

Training scripts and experiments
Hyperparameter tuning
Distributed training concepts
Experiment tracking

Model Registry & Deployment

Registering models
Real-time and batch endpoints
Model versioning
Deployment strategies

Azure OpenAI Fundamentals

Azure OpenAI service overview
Models and capabilities
Authentication and quotas
Cost management basics

Building AI Applications with Azure OpenAI

API integration patterns
Prompt engineering for apps
Structured outputs
Error handling and retries

Retrieval-Augmented Generation (RAG) on Azure

RAG architecture on Azure
Azure AI Search integration
Document ingestion pipelines
Grounded response generation

AI Agents & Workflow Orchestration

Agent concepts with Azure OpenAI
Tool calling and function integration
Multi-step AI workflows
Human-in-the-loop patterns

MLOps & CI/CD for Azure ML

Azure ML pipelines
Model lifecycle automation
CI/CD integration (GitHub Actions/Azure DevOps)
Environment promotion (dev/test/prod)

Monitoring & Observability

Model performance monitoring
Data drift detection
Logging and tracing for AI apps
Alerting and troubleshooting

Security, Privacy & Compliance on Azure

Identity and access management (Entra ID)
Network security and private endpoints
Data protection and encryption
Compliance and governance

Cost Management & Optimization

Compute cost optimization
Azure OpenAI token usage management
Caching and reuse
Budgeting and alerts

Hands-on Exercises

Summary and Conclusion

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on: Daily quizzes, mock questions and query resolution. Group Discussion and Case Study Discussion. Assessment will be through hands-on labs, quizzes, and hands-on exercises.

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Azure ML and Azure OpenAI Training Events in san-francisco

Online Events

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More Upcoming Session Dates

November 2026

📍 San Francisco, USA

10th Nov 2026→11th Nov 2026

📍 San Francisco, USA

26th Nov 2026→27th Nov 2026

🌐 Online Instructor-Led

27th Nov 2026→28th Nov 2026

December 2026

📍 San Francisco, USA

7th Dec 2026→8th Dec 2026

🌐 Online Instructor-Led

10th Dec 2026→11th Dec 2026

📍 San Francisco, USA

20th Dec 2026→21st Dec 2026

🌐 Online Instructor-Led

28th Dec 2026→29th Dec 2026

January 2027

📍 San Francisco, USA

2nd Jan 2027→3rd Jan 2027

🌐 Online Instructor-Led

5th Jan 2027→6th Jan 2027

📍 San Francisco, USA

23rd Jan 2027→24th Jan 2027

🌐 Online Instructor-Led

24th Jan 2027→25th Jan 2027

Events for other courses in San Francisco, USA

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Azure ML and Azure OpenAI Training in San Francisco