Generative AI Engineering
Transformers, prompt engineering, RAG pipelines, LangGraph agents, MCP servers, and LLMOps — a 6-phase structured path from fundamentals to production deployment.
Structured, production-focused learning paths for engineers who want less random tutorial hopping and a clear next step.
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Transformers, prompt engineering, RAG pipelines, LangGraph agents, MCP servers, and LLMOps — a 6-phase structured path from fundamentals to production deployment.
Master scalable system design from networking fundamentals to real-world architectures — databases, caching, distributed systems, reliability, and full case studies like Twitter, Uber & YouTube.
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Transformers, prompt engineering, RAG pipelines, LangGraph agents, MCP servers, and LLMOps — a 6-phase structured path from fundamentals to production deployment.
Master scalable system design from networking fundamentals to real-world architectures — databases, caching, distributed systems, reliability, and full case studies like Twitter, Uber & YouTube.
Internet basics, JavaScript, TypeScript, Node.js, Express, SQL, PostgreSQL, Prisma, Redis, testing, Docker, deployment, and cloud.
From React fundamentals to Next.js SSR, API design, auth flows, and deploying full-stack apps.
Docker, Kubernetes, CI/CD pipelines, observability stacks, and infrastructure-as-code on AWS/GCP.
Build reliable data pipelines with Spark, Airflow, dbt, and modern lakehouse architectures.
Learn to navigate large codebases, write impactful PRs, and build your public engineering profile.