Learn Azure
10 expert-rated courses covering Azure. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
The SkillsetCourse catalog indicates a robust selection of Azure learning opportunities, with 9 courses offering certificates and 3 available for free. Platforms like Microsoft Learn and Coursera provide diverse options for learners. Related skills such as MLOps and Spark complement Azure training, enhancing career prospects in cloud and AI fields.
Catalog analysis updated . Ratings are independent editorial scores. Read the rating methodology.
Key Facts About Azure
- 1Azure supports cloud-based AI solutions and machine learning operations.
- 2SkillsetCourse offers 10 Azure courses, with 9 providing certificates.
- 3Free Azure courses are available on platforms like Microsoft Learn and Udemy.
- 4Azure integrates with related skills like MLOps, Spark, and Databricks.
- 5Courses are designed for various skill levels, from beginners to advanced professionals.
Top Azure Courses
Build AI Apps with Azure Database for PostgreSQL
Build AI applications using Azure Database for PostgreSQL. Cover semantic search, embeddings, and AI-powered database applications.
Manage AI-Ready Infrastructure on Azure
Learn to manage GPU clusters, AI workload scheduling, and infrastructure for training and deploying AI models at scale on Azure.
Introduction to AI in Azure
Beginner learning path covering core AI concepts and Microsoft Foundry services, including generative AI, NLP, speech, vision, and information extraction.
Google Cloud Infrastructure for Azure Professionals
This is a four-course series for cloud architects and engineers with existing Azure knowledge that compares Google Cloud solutions with Azure and guides professionals on their use. The learner will apply the knowledge of concepts and technologies in Azure to explore the similarities and differences with concepts and technologies in Google Cloud. Learners will get hands-on practice building and managing Google Cloud resources.
MLOps | Machine Learning Operations (Duke University)
Learn MLOps from Duke University. Cover model deployment, cloud platforms (AWS, Azure), containerization, and responsible AI.
Microsoft AI & ML Engineering Professional Certificate
Professional certificate covering AI and ML engineering with Microsoft Azure, including model deployment, MLOps, and responsible AI.
Big Data Engineering Bootcamp with GCP, and Azure Cloud
Master Big Data with Hadoop, Spark, Kafka & Cloud. Build Real-World Projects & Scalable Data Pipelines from Scratch.
Azure Data Engineering End-to-end Course 2026
Learn multiple tools in Azure data engineering stack including Data Factory, Databricks, Synapse, and more.
Microsoft Azure: AI, Infrastructure, and Data Solutions
Learn Azure cloud infrastructure for AI including virtual networking, Databricks, data pipelines, and AI/ML deployment.
Installing OpenClaw (formerly Clawdbot) On Azure Linux VM
Deploy OpenClaw on Azure Linux VM and run your autonomous AI assistant securely.
Pro Tips for Learning Azure
- #1Start with the 'Introduction to AI in Azure' course to build foundational knowledge.
- #2Utilize free resources on Microsoft Learn to supplement paid courses.
- #3Engage with community forums to enhance understanding and network with peers.
- #4Consider a structured learning path that includes MLOps after mastering Azure basics.
Why Learn Azure?
- Learning Azure enhances career opportunities in cloud computing and AI fields.
- Azure skills are increasingly in demand as businesses migrate to cloud solutions.
- Certification in Azure can validate expertise and improve job prospects.
- Mastering Azure can lead to roles in data engineering and machine learning.