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Explore NLP, Azure Text Analytics, language models, and responsible AI through quizzes, a simulation, and guided labs.

Master Azure identities, networking, storage, compute, monitoring, governance, and hands-on administration skills

Running a container image is easy.

Cloud engineers and architects are often handed requirements and risk assessments that are incomplete, mixed with assumptions, and disconnected from actual design decisions, leading to architectures that blow through the budget or stall in review.

Cloud engineering and architecture teams often struggle to reduce cloud spend without accidentally compromising reliability, performance, or business value.

Master AWS, Linux, Networking, Docker, Terraform, Security, Monitoring & DevOps through hands-on cloud projects

Cloud systems frequently suffer from cascading outages, component failures, and resource saturation when underlying dependencies degrade or fail.

Cloud workloads can fail in ways that are difficult to see from a standard architecture diagram.

Learn to Deploy Scalable, Reliable, and Secure Generative AI Apps Using AWS and Amazon Bedrock (Python and TypeScript)

Learn Microsoft Azure by using some of its services to build a complete cloud infrastructure.

Master Google Cloud Technologies for Modern Financial Services

Master Cloud Computing Fundamentals with Networking, Linux, AWS EC2, S3, IAM, Nginx, and Cloud Deployment