Technical Curricula

Applied Claude Engineering and Growth

Master production-grade context engineering, autonomous agent architectures, and programmatic acquisition systems built directly on Anthropic foundational models.

Cohort Benchmarks

Production Outcomes

Day 11

average first live deployment

94.2%

cohort completion rate

+$38k

median engineering compensation delta

Flagship Programs

Three Engineering Specializations

Every pathway replaces surface-level prompt interfaces with production API integrations, automated context caching, and verifiable pipeline architectures.

Track 01
Track 02
Track 03

Quantitative Growth Systems

Applied Machine Learning

Claude Systems Architecture

Construct programmatic multivariate testing engines, attribution graphs, and algorithmic acquisition pipelines driven by direct model orchestration.

Deploy low-latency vector databases, hybrid retrieval architectures, and fine-tuned embeddings specifically configured for high-throughput enterprise scale.

Master multi-turn context windows, dynamic tool use, prompt caching strategies, and agentic multi-model verification loops using native Anthropic SDKs.

Engineering Standard

Terminal Over Theory

Traditional bootcamps rely on disconnected playground prompts and simulated assignments. GraphiquePro immerses cohorts in real CLI workflows, API rate-limit management, and distributed agent deployment within commercial infrastructure.

You leave with running repositories, automated evaluation benchmarks, and architecture diagrams vetted by engineering directors currently building production AI systems.

Upcoming Cohort Registration

Admissions close when seats reach technical mentor capacity. Review tuition structures, enterprise team licensing, and syllabus specifications.