Azure AI Foundry Courses and Certifications

Career Certificate

Microsoft Generative AI Engineering

17 ratings at Coursera

Master generative AI engineering with Azure tools, building and fine-tuning LLMs, GANs, and transformer models while implementing MLOps and responsible AI practices.

• Coursera
• 12 weeks, 8 hours/week
• Self-Paced
• Paid Course
• 5 courses

Getting started with generative AI in Azure

13 ratings at Coursera

Discover how to build intelligent applications using Microsoft Azure's generative AI tools through hands-on projects, from fundamentals to ethical implementation.

• Coursera
• 17 hours 2 minutes
• Self-Paced
• Paid Course

DP-3007: Train and Deploy a Machine Learning Model with Azure Machine Learning (Live Online)

8 ratings at CourseHorse

Master the complete machine learning lifecycle with this hands-on course.

• CourseHorse
• 6 hours
• Self-Paced
• $595.00

Designing and Implementing a Data Science Solution (Live Online)

8 ratings at CourseHorse

Build the skills to design and implement data science solutions on Azure in this comprehensive course.

• CourseHorse
• 27 hours
• Self-Paced
• $2,295.00

Microsoft Azure AI Fundamentals (Live Online)

8 ratings at CourseHorse

Discover the world of Artificial Intelligence (AI) on Microsoft Azure, exploring fundamental concepts and services to create AI solutions.

• CourseHorse
• 6 hours
• Self-Paced
• $595.00

AI-3018: Copilot Foundations (Live Online)

8 ratings at CourseHorse

Master the essentials of generative AI with a focus on Microsoft and Azure tools.

• CourseHorse
• 6 hours
• Self-Paced
• $495.00

Data Engineering on Microsoft Azure (Live Online)

7 ratings at CourseHorse

Master the intricacies of data engineering on Microsoft Azure in this comprehensive course.

• CourseHorse
• 27 hours
• Self-Paced
• $2,295.00

Whizlabs Career Certificate

Data Science and Machine Learning Engineering on Microsoft Azure

5 ratings at Coursera

Master Azure data science and machine learning with hands-on training in ML model design, deployment, and optimization to earn Microsoft DP-100 certification.

• Coursera
• 16 weeks, 28 hours/week
• Self-Paced
• Paid Course
• 4 courses

Core generative models and techniques

Explore GANs, autoregressive models, and diffusion models while mastering hands-on implementation with Azure AI Foundry for sequential data generation and high-fidelity image creation.

• Coursera
• 20 hours 35 minutes
• Self-Paced
• Paid Course

Career Certificate

Microsoft Generative and Agentic AI Basics

Master generative and agentic AI development using Microsoft Azure, building RAG pipelines, fine-tuning LLMs, and deploying intelligent agents for real-world enterprise applications.

• Coursera
• Self-Paced
• Paid Course
• 4 courses

MLOps and responsible AI practices

Master MLOps and responsible AI practices on Azure, implementing CI/CD pipelines, monitoring, and ethical frameworks for production-ready generative models.

• Coursera
• 21 hours 50 minutes
• Self-Paced
• Paid Course

Machine Learning and AI Applications in Healthcare

Discover machine learning and AI applications in healthcare, from medical imaging to predictive analytics, using Azure services and clinical validation methods.

• Coursera
• 1 day 14 hours 52 minutes
• Self-Paced
• Paid Course

Whizlabs

Mastering Microsoft Azure AI Fundamentals

Master Azure AI fundamentals for the AI-900 certification with comprehensive training on machine learning, computer vision, NLP, and generative AI workloads using Microsoft's cloud services.

• Coursera
• 18 hours 32 minutes
• Self-Paced
• Paid Course

Packt

AI-900 - Azure AI Fundamentals and Two Practice Tests

Master Azure AI fundamentals and prepare for the AI-900 certification with hands-on experience in machine learning, computer vision, and natural language processing.

• Coursera
• 7 hours 48 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

Azure ML Bootcamp: Machine Learning on the Cloud

Master Azure Machine Learning from foundations to advanced MLOps deployment, building and operationalizing models with hands-on cloud experience and real-world applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses