Manage Your LLMs with LLMOps

Machine learning ops (MLOps) provides a foundation for managing and maintaining your machine learning applications, but you need to know some specialized details to use large language models (LLMs) effectively. These courses take you from key programming techniques for MLOps and LLMOps through the details of establishing LLM-based applications. You'll keep your projects running smoothly through development, to testing, and then to production.

Learn to code for MLOps and LLMOps APIs.
Explore options for LLM fine-tuning and compression.
Include vector databases, agents, and chains in deployments.

Syllabus

Courses under this program:
Course 1: Generative AI and LLMOps: Building Blocks and Applications
-Learn the foundations of building, fine-tuning, and deploying large language models (LLMs) in real-world applications.

Course 2: LLMOps in Practice: A Deep Dive
-Discover the core concepts and technical skills required to build and manage an LLM-based app in production.

Course 3: Advanced LLMOps: Deploying and Managing LLMs in Production
-Learn advanced techniques and best practices for deploying and monitoring large language models in production environments.

Course 4: LLM Foundations: Building Effective Applications for Enterprises
-Explore design considerations and best practices for building generative AI-powered applications at enterprise scale.