Courses & Labs

Get certified through the AZ-900 exam by learning Microsoft Azure cloud fundamentals and core services.

Learn Microsoft Azure AI services and prepare for the AI-900 certification exam.

Design, build, and optimize Azure solutions using the Well-Architected Framework pillars.

Learn practical Microsoft 365 workflows for productivity and collaboration in enterprise environments.

Evaluate cloud infrastructure readiness for generative AI workloads in enterprise environments.

Understand and mitigate hallucinations in generative AI systems with retrieval-augmented approaches.

Build reliable AI agents with practical patterns for production enterprise deployments.

Practical prompt engineering techniques for IT administrators working with enterprise AI tools.

Secure generative AI integrations with enterprise-grade security patterns and best practices.

Implement function calling and tool use patterns with OpenAI APIs for production applications.

Build multimodal AI applications using OpenAI APIs for text, image, and combined inputs.

Understand GitHub Copilot data flows and architecture for secure enterprise adoption.

Boost software development productivity with ChatGPT and advanced prompt engineering techniques.

Get started with Claude Code for AI-assisted software development workflows.

Configure Claude Code for team workflows with security rules and shared project settings.

Use Claude AI to streamline project management tasks and team coordination workflows.

Prepare for the KCNA exam with Kubernetes, containers, and cloud native fundamentals.

Hands-on Kubernetes application development labs to prepare for the CKAD certification.

Implement backup and disaster recovery strategies for Azure Kubernetes Service clusters.

Learn to implement GitOps workflows for reliable, automated Kubernetes application deployments.

Scale GitOps practices across large engineering organizations with proven enterprise patterns.

Build modern development workflows using Google Antigravity for cloud native teams.