AI for DevOps/MLOps Training
Our Generative AI training for DevOps and MLOps professionals teaches attendees how to use GenAI to automate repetitive tasks, optimize deployments, and accelerate model training. Students learn to design and implement AI-powered solutions that transform their DevOps and MLOps pipelines.
This advanced Generative AI training is designed for developers who want to explore enterprise-grade Large Language Model (LLM) architectures and design patterns. This course covers chatbot architectures, Agentic RAG, LLM-powered agents, and model serving and deployment techniques. Participants learn how to design and implement advanced LLM-based applications using cutting-edge technologies and frameworks.
This Introduction to Generative AI (GenAI) course teaches DevOps and ITOps professionals to master the deployment, management, and scaling of GenAI and Large Language Model (LLM) applications.
This Intermediate Generative AI (GenAI) course is for DevOps and ITOps professionals who want to advance their GenAI skills with deployment strategies and best practices for building large language model (LLM) applications. Participants master popular tools and frameworks, including Docker, Kubernetes, and cloud platforms, in an LLM environment.
This comprehensive Generative AI (GenAI) course is for DevOps and ITOps professionals who want to master the deployment, management, and scaling of Generative AI and Large Language Model (LLM) applications. The course covers various topics, from the foundations of LLMs to advanced deployment strategies and best practices. Participants will gain hands-on experience with popular tools and frameworks, including Docker, Kubernetes, and cloud platforms in an LLM environment.
This advanced Large Language Model (LLM) training is for Ops professionals who want to master deploying, managing, and scaling sophisticated LLM-based applications in enterprise environments. The course covers advanced topics such as scalable model serving infrastructures, monitoring and troubleshooting techniques, Agentic RAG deployment, and CI/CD and DevOps practices for LLM-based applications.
This Artificial Intelligence and Machine Learning (AI/ML) Tools training course gives attendees an in-depth examination of the tools and techniques used in monitoring AI and ML models, focusing on those used in production. Participants learn how to detect and address model drift over time and monitor for data quality, privacy, and security.
