Learning Path

Don't know where to begin?

Here's the exact path from Linux beginner to AI Platform Engineer.

One subscription, one roadmap, one instructor.

Spring Founder Edition — One-time event

Lock founder pricing for life

New subscribers get 20% off Premium forever — use code SPRINGFOUND26 at checkout. Your discount stays as long as your subscription is active. Expires May 31.

First-time subscribers only. Applies to Premium monthly and quarterly plans.

43
Days
20
Hours
53
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58
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Find your starting point in 2 minutes

Answer 6 questions. We'll recommend the best path for where you are today.

Where are you today?

Answer 6 quick questions. We'll recommend your best starting point.

I'm comfortable with Linux command line and Git.

I already know Kubernetes and Terraform well.

I want to learn AI/LLMOps and AI Platform Engineering specifically.

Secrets management and HashiCorp Vault are my top priority.

I'm targeting a specific certification exam (Vault Associate, Terraform Associate, Backstage CBA, etc.).

I learn better by solving hands-on problems than by watching videos.

The complete path

Three stages. One continuous journey.

1
Stage 1

Foundation

21-week Platform Engineering Bootcamp

Go from zero to a working Internal Developer Platform. Every week builds on the last, combining short video lessons, hands-on labs, and a final capstone where you deploy a production-grade IDP.

  • Linux Essentials
  • Git & GitHub
  • Docker Fundamentals
  • Kubernetes (Beginner + Intermediate)
  • Terraform Infrastructure as Code
  • Networking Fundamentals
  • Bash Scripting & Automation
  • Python & JavaScript Foundations
  • AWS Cloud Computing
  • Ansible Configuration Management
  • GitOps with ArgoCD
  • Monitoring & Observability
  • Service Mesh with Istio
  • Backstage Developer Portal
  • Secrets Management with Vault
  • Capstones — Internal Developer Platform
2
Stage 2

Specialization

8-week AI Platform Engineering Bootcamp

Extend your platform skills into AI infrastructure. Learn how to integrate LLMs, build RAG pipelines, serve models on Kubernetes, and run enterprise AI systems reliably.

  • AI Foundations for Infrastructure Engineers
  • LLM Integration and API Patterns
  • RAG Architectures and Vector Databases
  • AI Agents and Agentic Workflows
  • ML Infrastructure and Experiment Tracking
  • Model Serving and Kubernetes for ML
  • AI Observability and LLMOps
  • Enterprise AI and Capstone Project
3
Stage 3

Mastery

Industry certifications to prove your skills

Earn recognized credentials across the HashiCorp and CNCF ecosystems. Each certification course includes structured lessons, practice labs, and exam prep material.

One subscription. The complete path.

Everything above — both bootcamps, all certification courses, all hands-on labs — is included in a single TeKanAid Premium subscription. No upsells, no module unlocks, no hidden fees.

Spring Founder Pricing
20% off forever

Use code SPRINGFOUND26 at checkout.

New subscribers only. Discount stays as long as your subscription is active. Expires May 31.

Get founder pricing →