Azure AI & Machine Learning Courses and Certifications

Machine Learning and AI Applications in Healthcare

Build healthcare AI on Azure: train medical imaging and patient-risk models, detect dataset bias, evaluate with sensitivity and AUC, and dashboard results in Power BI.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course

Multimodal and cross-modal AI integrations

Build cross-modal AI apps: generate images from text with DALL·E prompting, add captioning and OCR via Azure AI Vision, then orchestrate Language and Speech services.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Packt

Microsoft Certified Azure AI Engineer Associate AI-102

Build AI solutions on Azure: implement RAG in AI Foundry, deploy agents with Semantic Kernel, create conversational NLP apps, and add face detection and OCR with Vision Studio.

• Coursera
• 10 weeks, 1 hour a week
• Self-Paced
• Paid Course

Whizlabs

Mastering Microsoft Azure AI Fundamentals

Build Azure AI solutions: train models with Azure Machine Learning and AutoML, apply Vision, OCR and NLP services, and deploy generative AI with Azure OpenAI and AI Foundry.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Packt

AI-900 - Azure AI Fundamentals and Two Practice Tests

Prepare for the Microsoft AI-900 exam: describe Azure AI workloads, machine learning with regression, classification and clustering, computer vision, NLP, and conversational AI bots.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Deploy A Microsoft Azure Speech To Text Web App

Build a Streamlit web app that transcribes uploaded WAV files using the Azure Speech to Text SDK in Python, then deploy it publicly on Heroku.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Whizlabs

Azure ML: Designing and Preparing Machine Learning Solutions

Design and prepare machine learning solutions on Azure: manage datasets with Data Factory and Synapse, configure Azure ML SDK v2 environments, and plan MLOps deployment and retraining.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Packt Career Certificate

Azure ML Bootcamp: Machine Learning on the Cloud

Build, train, and deploy models in Azure ML Studio: supervised and unsupervised learning, data preprocessing, hyperparameter tuning, and MLOps deployment handling model drift and versioning.

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

Packt

Building AI-Powered Application with .NET

Build AI-powered .NET applications: train models with ML.NET, call Azure AI Cognitive Services and Azure OpenAI, and create sentiment analysis tools, image classifiers, and chat agents.

• Coursera
• 11 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Compare Models with Experiments in Azure ML Studio

Log plots and numeric metrics in experiments, train several algorithms in a Jupyter notebook, and compare models to pick the best in Azure Machine Learning Studio.

• Coursera
• 1 hour 26 minutes
• Self-Paced
• Paid Course

Whizlabs

Azure ML: Deploying, Managing, and Experimenting with Models

Deploy and manage machine learning models in Azure ML by registering and logging MLflow models, configuring managed online endpoints, applying Blue-Green deployments, and evaluating Responsible AI dashboards.

• Coursera
• 2 weeks, 4 hours a week
• Self-Paced
• Paid Course

Packt

Advanced Deployment, MLOps, and Generative AI in Azure

Deploy models in Azure ML Studio with distributed training, AKS, and serverless inference, build MLOps pipelines with Azure DevOps and GitHub Actions, and fine-tune GPT and DALL·E.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Whizlabs

Azure AI & ML: Optimize Language Models for AI Applications

Deploy and optimize models on Azure: RAG and fine-tuning in AI Foundry, prompt variant testing, AI Search indexes, MLflow tracking, and production ML pipelines.

• Coursera
• 2 weeks, 4 hours a week
• Self-Paced
• Paid Course

Board Infinity

Cloud Platforms for ML: AWS, Azure & GCP Deployment

Deploy ML models on SageMaker, Azure ML Studio, and Vertex AI, build serverless inference with Lambda and Cloud Functions, and compare platforms on cost and scalability.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Packt

Microsoft Azure AI Fundamentals AI-900 Exam Guide

Prepare for the AI-900 exam: cover AI workloads, responsible AI principles, regression and clustering, and Azure Machine Learning, Cognitive Services, and Azure OpenAI.

• Coursera
• 11 weeks, 1 hour a week
• Self-Paced
• Paid Course