Every Course in the AI AgentCurriculum
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Courses
Self-paced courses you can start today, on your own schedule.
LangGraph — Build Multi-Agent Workflows
Claude Code — For Everyone
Learn to use Claude Code as a complete AI-powered development environment, not just an autocomplete tool. Starting from LLM fundamentals, you'll set up Claude Code across your IDE and terminal, structure a project the right way, and take a prototype all the way to something production-ready — while learning to automate your own workflow with hooks, subagents, and scheduled tasks, and to spot the security pitfalls that come with giving an AI access to your files and APIs.
AWS Administration — Deploy and Manage Your Applications on Cloud
Operate, secure, and optimize real AWS environments end to end — core services, monitoring and logging, high availability and disaster recovery, secure networking, and cost optimization — aligned to the AWS SysOps/CloudOps administration domains and grounded in realistic troubleshooting scenarios.
Docker — Containerize Your Applications
A hands-on path from your first docker run to production-grade containerization. You'll build and optimize images, persist data with volumes, orchestrate multi-container apps with Compose, and get a working introduction to Swarm — with security treated as a first-class topic throughout, not an afterthought.
Kubernetes — Run Applications at Scale
A deep, scenario-driven path into running production workloads on Kubernetes — cluster architecture, networking and NetworkPolicy, RBAC, rollout/rollback strategy, storage, and autoscaling, aligned to CKA-level administration skills and backed by practice scenarios throughout.
Linux Administration — The Complete Guide to Run Your Infrastructure
A complete path from Linux fundamentals to confident day-to-day system administration on Red Hat-based systems — the file system, users and permissions, storage with LVM, networking, and the security and troubleshooting skills that come up on the job (and on the RHCSA exam) every day.
Terraform — Deploy and Manage Infrastructure as Code
Learn Infrastructure as Code with Terraform from first principles through production workflows — HCL fundamentals, state and modules, multi-cloud provisioning across AWS, Azure, and Docker, and CI/CD integration with GitHub Actions for real, repeatable deployments.
Built With the Frameworks Powering Modern AI
Roles This Curriculum Prepares You For

AI Agent Developer
Builds and deploys autonomous multi-agent systems using CrewAI and LangGraph.

Prompt Engineer
Designs and refines prompts and workflows that get reliable output from LLMs.

AI Automation Specialist
Builds no-code AI workflows that automate repetitive business tasks.

AI-Enabled Product Manager
Directs AI-powered features and evaluates what agentic systems can realistically do.

AI-Enabled Marketer
Uses AI assistants and automations to scale content, research, and reporting.
Common Questions
Everything students ask before choosing a course or a track.