Learning Paths

Structured roadmaps for engineers who want depth, not content noise.

Each path is organized into modules, lessons, and projects so learners can build durable skill progression and return later without losing context.

Module-based paths

Roadmap progression

Searchable curriculum

AI & Machine Learning

2 paths curated for this track.

Master the fundamentals of AI engineering — from LLMs and prompt design to embeddings, RAG pipelines, and production deployment.

Design and build autonomous AI agents with tool use, memory, planning, and multi-agent orchestration using modern frameworks.

1 path curated for this track.

Build, deploy, and manage Model Context Protocol servers that connect AI agents to real-world tools and data sources.

2 paths curated for this track.

Write fast, reliable, and maintainable end-to-end tests with Playwright. From setup to CI/CD integration and visual regression.

Build comprehensive API test suites. Contract testing, performance benchmarks, security checks, and automated pipelines.

1 path curated for this track.

AWS, GCP, and cloud-native patterns. Infrastructure as code, serverless architectures, containers, and observability.