Build Your Own Learning Journey

Master cloud‑native observability and ace the OTCA exam. Learn to instrument apps, operate and scale the OpenTelemetry Collector, and build end‑to‑end telemetry pipelines.

Prepare for certification by learning to design, build, and secure data pipelines on GCP using services like BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.

Prepare for Certified Argo Project Associate (CAPA) exam by mastering ArgoCD, Workflows, Rollouts, and Events with labs focused on real Kubernetes GitOps and automation.

Master RAG by learning architecture, document ingestion and chunking, keyword vs semantic search, vector databases, and end‑to‑end RAG pipelines.

Learn core DB concepts including tables, keys, CRUD operations, SQL querying, indexing, and relational vs non‑relational models, design and build your own MySQL DB.

Prepare for KCA certification - learn to secure, standardize, and automate Kubernetes clusters with Kyverno policies and more.

Learn SRE fundamentals including SLI/SLOs, error budgets, incident management, release engineering, observability, and chaos engineering.

Prepare for AZ-700 certification: VNets/subnets/IPs/DNS, hybrid connectivity, routing, load balancing, security and private access.

Learn Model Context Protocol from first principles and build MCP servers, tools and AI integrations to orchestrate context-driven workflows with hands-on labs.

Optimize cloud costs with FinOps. Learn to implement FinOps Framework principles, build cross-functional teams, manage cloud spending, and apply financial concepts.

Master basics (metrics/ logs/ traces/ profiles), pre-migration planning, platform setup (agents/ ngestion/ dashboards/ security), and post-migration optimization via demos.

Master open-source n8n workflows from basics to advanced AI agents, RAG systems, multi-agent orchestration, and production deployments with Docker/AWS self-hosting.

Learn prompting, code reviews, security audits, and workflow automation. Turn Claude into your coding partner - unlock faster and safer software development.

Build scalable AWS infrastructure as code with CloudFormation templates, parameters, nested stacks, and CI/CD integration.

Learn to build and deploy autonomous AI agents for chatbots, multi-agent systems, and real-world automations using modern frameworks.

Master math for computing. Learn linear algebra (vectors/matrices), calculus (derivatives/gradients), probability/statistics for AI/ML/data science.

Learn virtualization and containers. Explore virtual machines, hypervisors, containers, Dockerfiles. Compare VMs vs containers. Explore real-world applications.

Understand networking basics. Learn network types, Internet packet routing, hardware (routers/switches), protocols (TCP/IP/HTTP), and troubleshooting tools.