Build Your Own Learning Journey

Prepare for Jenkins Engineer certification: SCM and CI/CD, architecture, JVM tuning, plugins, NodeJS/SonarQube, monitoring Prometheus/Grafana, and managing Jenkins configurations.

Build and deploy machine learning models using AWS SageMaker, following a full ML pipeline from data preparation to hosting and monitoring.

Master NGINX and elevate your web infrastructure skills with hands-on labs covering deployment, security, and performance optimization. Join today to unlock the power of NGINX!

Prepare for GitHub Copilot Certification with hands-on training covering AI pair programming, prompt engineering, advanced features, and efficient usage in VS Code and CLI.

Master DNS fundamentals and learn protocol, record types, resolvers, EDNS/DNSSEC/DoH, domain lifecycle, GeoDNS, and BIND9 configuration in Linux environments.

Run Large Language Models (LLMs) locally using Ollama for privacy, customization, and offline AI applications with CLI, REST API, and Modelfiles.

Prepare for Backstage certification: Master its fundamentals, architecture, catalogs, templates, UI customizations and plugins, and production deployments.

Leverage GitHub Copilot for AI-enhanced coding through Visual Studio integration and workflow optimization.

Master Kubernetes autoscaling with expert-led hands-on labs

Build PyTorch deep learning models through tensor operations, training workflows, and production deployment.

Master MLOps fundamentals, pipelines, and model lifecycle automation for production ML systems with MLflow, BentoML, and Grafana.

Master Rust programming from basics to advanced concepts including ownership, concurrency, async programming, WebAssembly, and CLI tools.

Master advanced Jenkins with shared libraries, Docker/Kubernetes agents, pipeline caching, scripted vs declarative pipelines, Prometheus/Grafana monitoring, audit trails, and more.

Accelerate AI-assisted development using ChatGPT, GitHub Copilot, and full-stack project workflows.

Develop Kubernetes locally with Telepresence. Learn architecture, intercepts, env files, volumes, Docker integration, and hands-on demos for faster testing/debugging.

Learn basics of IaC including TypeScript syntax and interfaces. Build CDKTF constructs and deploy AWS resources like IAM roles, Lambda functions, and API Gateway.

Master Generative AI operations through Azure AI Studio experimentation and advanced LLM techniques.

Explore Microsoft Azure AI fundamentals through hands-on Azure services and responsible AI practices.