Designing Production LLM Architectures

Colleagues, in the “Designing Production LLM Architectures” you will compare synchronous and asynchronous architectures and apply 12-factor principles and container orchestration to deploy scalable microservices, analyze multi-region deployments, pinpoint latency bottlenecks, and design resilient architecture improvements via fault analysis, create Airflow DAGs to automate data workflows and analyze the impact of schema evolution on downstream processes and tests, and analyze trade-offs between self-hosting models vs. managed APIs and evaluate proposed infrastructure for fault tolerance and cost. You will acquire high-demand skills including: Microservices, LLM, Application, Scalability, Data Pipelines, Open Source Technology, Infrastructure Architecture, Containerization, Diagram Design, Cloud-Native Computing, Software Design, Application Deployment, Managed Services, Systems Architecture, Software Architecture, and Large Language Modeling along with Azure DevOps, Model Deployment, Apache Airflow, AWS CloudFormation, and Kubernetes. You will learn to think like an architect, starting with foundational design choices. Using sequence diagrams and structured analysis, you will compare synchronous and asynchronous architectures and evaluate the critical trade-offs between self-hosting open-source models and using managed APIs, considering total cost of ownership, latency, and data privacy. The course then dives deep into building for resilience and scale, applying the 12-factor app methodology to design stateless, configurable microservices. You’ll learn to analyze multi-region deployment strategies for fault tolerance and to use container orchestration manifests like Helm to deploy scalable applications capable of handling production workloads. Finally, you’ll master the data backbone of your system by designing automated data pipelines with tools like Airflow and learning to manage the complexities of schema evolution.

Enroll today (teams & execs welcome): https://imp.i384100.net/7XQZBy

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) or (Kindle) 

Much career success, AI Academy (share with your team)