Azure Container Registry Courses and Certifications

Packt

AZ-801: Configuring Windows Server Hybrid Advanced Services

Master Windows Server hybrid environments with Azure integration, security hardening, failover clustering, disaster recovery, migration strategies, and troubleshooting techniques.

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

Terraform in AWS from Basics to Guru: Unit 3

Master advanced Terraform concepts including variables, modules, logging, and multi-cloud providers through hands-on labs and real-world scenarios for scalable infrastructure.

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

Coursera

GenAI for Azure: AI-Powered Cloud Optimization Strategies

Explore how Generative AI revolutionizes Azure cloud management through automation, resource optimization, and cost reduction using Azure OpenAI and Microsoft Copilot with hands-on exercises and real-world applications.

• Coursera
• 3 hours 22 minutes
• Self-Paced
• Paid Course

Packt

Deploy any MERN Stack App on Azure Cloud using CICD Pipeline

Deploy a MERN stack app on Azure Cloud using CI/CD pipelines. Learn cloud infrastructure, Azure services, and DevOps. Set up pipelines, integrate CosmosDB, and automate testing and deployment for production-grade applications.

• Coursera
• 4 hours 12 minutes
• Self-Paced
• Paid Course

Packt

Cloud Security Essentials: AWS, Azure, GCP Protection

Master cloud security across AWS, Azure, and GCP with hands-on experience in IAM, encryption, compliance, and threat management for real-world protection.

• Coursera
• 1 day 13 hours 24 minutes
• Self-Paced
• Paid Course

Packt

Databricks ML in Action

Master practical machine learning on Databricks platform with hands-on projects covering MLflow, Vector Search, AutoML, and complete ML lifecycle from data ingestion to deployment.

• Coursera
• 13 hours 23 minutes
• Self-Paced
• Paid Course

Whizlabs

Generative AI for Azure Cloud Engineers

Master Azure OpenAI Service, Microsoft Copilot, and enterprise Generative AI solutions. Build intelligent cloud applications with prompt engineering, RAG, and Responsible AI practices.

• Coursera
• 14 hours
• Self-Paced
• Paid Course

H2O.ai

Data Science and Machine Learning H2O.ai Platforms

Master H2O.ai's comprehensive data science toolkit for automated machine learning, model deployment, and generative AI applications, featuring Driverless AI, Wave App, and Enterprise GPTe.

• Coursera
• 1 hour 12 minutes
• Self-Paced
• Paid Course

Whizlabs

Azure ML: Explore & Configure the Machine Learning Workspace

Explore Azure ML workspace configuration, compute management, and data handling to build scalable machine learning solutions and prepare for DP-100 certification.

• Coursera
• 7 hours 1 minute
• Self-Paced
• Paid Course

Packt

Managing Hybrid Storage, File Services and Network

Explore hybrid network infrastructure and storage management with Azure File Sync, DNS integration, DHCP configuration, VPNs, and advanced storage tools for IT professionals.

• Coursera
• 11 hours 52 minutes
• Self-Paced
• Paid Course

Edureka Career Certificate

No-Code Data Science and Machine Learning

Master data science and ML through no-code tools like KNIME, Orange, and Google Vertex AI. Build pipelines, train models, and deploy solutions without programming.

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

Coursera

GenAI for Cloud Support Associates

Explore GenAI's transformative potential in cloud support, enhancing efficiency and problem-solving through practical strategies, hands-on activities, and ethical considerations.

• Coursera
• 1 hour 53 minutes
• Self-Paced
• Paid Course

Packt

Introduction to AKS and Core Networking Concepts

Master AKS networking with advanced strategies for secure, scalable containerized applications including private clusters, DNS resolution, Gateway APIs, and traffic management.

• Coursera
• 11 hours 44 minutes
• Self-Paced
• Paid Course

Coursera

Deploying Open Models

Master containerization, cloud deployment, and monitoring strategies for generative AI models in production environments with hands-on Docker, AWS/GCP/Azure experience.

• Coursera
• 5 hours 23 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

ML Model Training & Validation

Master end-to-end ML model training, validation, and optimization for production environments through hands-on labs covering data preparation, algorithm comparison, and deployment.

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