AI Courses from Cloud-based ML

Learn iOS app development from scratch with Swift, building real-world apps using UIKit and SwiftUI, and mastering deployment in this comprehensive, beginner-friendly bootcamp.

Master MLOps workflows with Amazon SageMaker and Azure ML, focusing on model deployment, monitoring, and scalable machine learning operations.

Advanced concepts in machine learning infrastructure for scalable AI deployments.

Comprehensive, hands-on course teaching Elasticsearch 8 and Elastic Stack fundamentals, including data ingestion, search, visualization, and real-time analytics through practical labs and real-world scenarios.

Master AKS deployment with Azure DevOps CI/CD and Terraform infrastructure as code—build automated, scalable, and secure Kubernetes solutions on Azure cloud.

Prepare for AWS Data Engineer Associate certification with hands-on labs—learn AWS Glue, Redshift, Kinesis, and build scalable, secure data pipelines on AWS.

Master Elasticsearch from basics to advanced—build powerful search and analytics solutions, learn full-text search, aggregations, and deploy scalable data pipelines using the ELK stack.

Prepare for the CompTIA A+ Core 2 exam with hands-on training in OS, security, troubleshooting, and operational procedures to launch your IT support career.

Master building scalable machine learning pipelines on Microsoft Azure using automation, Azure ML tools, and best practices for deployment, monitoring, and lifecycle management.

Learn to deploy, monitor, and manage machine learning models in production using AWS tools like SageMaker, Lambda, and CI/CD pipelines in real-world MLOps workflows.