Linux
Complete Linux track from basics through intermediate administration: filesystems, permissions, processes, systemd, performance tuning, kernel parameters, SELinux/AppArmor, disks / LVM / RAID, and containers in production Linux.
Live · Hands-on · Practitioner-led
Online classes in Linux, Infrastructure, and Applied AI — LLMs, RAG, Anthropic Claude, OpenAI ChatGPT, OpenAI Codex, and the Model Context Protocol (MCP). Taught by engineers who run this in production.
Pick a single track or bundle them into a career path. Every course is live, project-based, and includes lab access.
Complete Linux track from basics through intermediate administration: filesystems, permissions, processes, systemd, performance tuning, kernel parameters, SELinux/AppArmor, disks / LVM / RAID, and containers in production Linux.
Bash and shell tooling: loops, functions, signals, scripts in /etc/init.d and systemd, error handling.
Structured debugging of boot issues, networking, services, logs, and performance with real lab failure scenarios.
Core cloud operations: compute, storage, identity, networking, and cost management across major providers.
CPUs, RAM, motherboards, storage, buses, troubleshooting, and maintenance skills aligned with CompTIA A+/Hardware+ objectives.
Converged compute + storage nodes, clustered filesystems, VM high availability, and operational concepts including vendor-agnostic HCI fundamentals.
How transformers and LLMs behave in practice: tokens, embeddings, context windows, prompting, and evaluation.
Retrieval-augmented generation: chunking, indexing, search, reranking, context packaging, and production failure modes.
Claude API, tool use, prompt caching, agents, and practical integrations.
ChatGPT, GPT API, function calling, structured outputs, and app integration.
Code reasoning, code generation patterns, prompt design for developer workflows, and evaluating agentic coding behavior.
Build MCP servers and clients, expose resources and tools, and wire models into real systems safely.
No slide-only theory. You build, break, and fix real systems.
Every cohort is taught live with Q&A. Sessions are recorded so you never lose a class.
Hands-on labs for every module — clusters, hypervisors, shells, and AI APIs you actually run.
Taught by people who operate these platforms in production, not career trainers.
Finish each track with a portfolio project you can show employers.
Tracks map to NCP, VCP, and RHCSA so your study time counts twice.
Private chat, office hours, and 1:1 help when a lab fights back.
From sign-up to certificate in four steps.
Choose a single course or a bundled career path.
Weekly live sessions plus self-paced labs you can do anytime.
Apply each module in real, graded hands-on work.
Earn a Nixpert certificate and prep for industry exams.
Custom engagements for startups and teams: setup, architecture reviews, troubleshooting, and enablement.
Baseline installs, policies, authentication, logging, and hardening for Linux or cloud environments.
Incident response and root-cause analysis for production infrastructure or AI integration pipelines.
Founder-friendly guidance on choosing the right infrastructure and AI stack without enterprise bloat.
Tell us what you want to learn and we'll send the next cohort dates and a free intro call invite.
We’re a small, distributed team. If you like teaching, building labs, or scaling infra, reach out.
Hands-on experience, clear teaching instincts, and willingness to write thoughtful courseware. Certifications are a plus, not a gate.
Send your résumé and a short note on what you’d teach or build at Nixpert. No cover-letter gatekeeping.
Instructor, lab developer, and ops/support positions open. We value async writing and clear communication over credentials alone.