This product is ideal for software engineering and development teams that need to build, train, and deploy large language models.
Hands-On AI Engineering: Code First Guide to Building Production Grade LLM Systems with Python | Accompanied by GitHub Tutorials | Learn about Transformers Foundation Models & ML Pipelines
DESIGNING LLM SYSTEMS: RAG, Tool Use, Guardrails, and Evals—Step-by-Step Walkthroughs + an Actively Maintained GitHub Repo to Design, Test, and Ship Reliable LLM Features
Multi-Agent Systems Engineering: Design architecture with evidence: metrics, risk gating, failure modes, and tested reference code—benchmarks, debugging, and production hardening for AI agents
Agentic AI Engineering: Systems That Reason and Act Autonomously – Designing, Building, and Prompting LLM-Based Agents for Real-World Deployment
The All in One Agentic AI Bible: The Practical 7 Step Guide To Building Smarter AI Agents, Designing Goal-Oriented, LLM-Powered Systems That Think, Act, And Adapt In The Real World
The AI Engineering Systems: Build, Deploy, and Scale Production AI Systems—Step-by-Step Walkthroughs Plus an Actively Maintained GitHub Repo You Can Clone and Ship
