Part 2: Git, GitHub & Version Control Mastery
Master Git branching strategies, PR workflows, rebasing, conflict resolution, and open-source contribution patterns. Essential for every software engineer.
Master Git branching strategies, PR workflows, rebasing, conflict resolution, and open-source contribution patterns. Essential for every software engineer.
Set up a professional-grade development environment on Windows. WSL2, Docker Desktop, VS Code configuration, terminal customization, and productivity automation.
Transform from 'basic Python' to production-grade Python. Advanced OOP, decorators, generators, context managers, type hints, metaclasses, packaging, and virtual environments.
Master asyncio event loops, coroutines, semaphores, FastAPI dependency injection, Pydantic v2, middleware, and background tasks. The single most valuable backend skill in 2026.
Master TypeScript type system, Express/Fastify, streams, EventEmitter, worker threads, and NestJS fundamentals for modern server-side development.
Master indexing strategies (B-Tree, GIN, GiST), query planning (EXPLAIN ANALYZE), transactions, isolation levels, and migrations in PostgreSQL.
Master V8 Isolates vs container virtualization, cold start latency, edge databases (D1, KV, R2), and AWS API Gateway triggers. Complete blueprint with exactly 30 curated resources.
Master HCL syntax, multi-environment workspaces, reusable modules, state file locking (S3/DynamoDB), and OpenTofu drift detection. Complete blueprint with exactly 30 resources.
Master OpenTelemetry SDK instrumentation, Prometheus pull architectures, Grafana dashboard panels, Tempo spans, Loki LogQL, and Pyroscope flame graphs. Complete 30-resource blueprint.
Master YAML schemas, matrix build scaling, dependency caching, secure OIDC authentication, deployment environment gates, and monorepo path filters. Complete 30-resource blueprint.
Master Astro Islands, partial hydration, Tailwind theme variables, Nanostores cross-island state sharing, TanStack Query v5 caching, and Pagefind client indexing. Complete 30-resource blueprint.
Understand transformer architecture, tokenization, temperature, embeddings, cosine similarity, and vector math behind large language models.
Learn index types (HNSW, IVF), metadata filtering, hybrid search, performance tuning, and managed vs self-hosted vector databases.
Master chunking strategies, embedding models, re-ranking (Cohere), hybrid search, contextual compression, and evaluation frameworks for RAG systems.
Learn LangChain chains, prompts, output parsers, memory types, document loaders, text splitters, retrievers, and callbacks for LLM applications.
Master state graphs, nodes, edges, conditional routing, checkpointing, human-in-the-loop, persistence, and agent orchestration with LangGraph.
Learn agent roles, delegation patterns, CrewAI, AutoGen, communication protocols, error handling, and agent memory for orchestrating multiple AI agents.