This course explores the full lifecycle of a GenAI application, from deployment to integration with existing systems. Learn to harness Large Language Models (LLMs) for automation, implement agentic workflows, and leverage AI-powered tools to enhance productivity and decision-making.
Key Topics:
● Full SDLC for building and deploying GenAI applications
● LLMs and prompting techniques for DevOps tasks
● Integration of RAG (Retrieval-Augmented Generation) and graph databases
● Setting up GenAI infrastructure with scalability and security in mind
● Advanced applications: AI-powered code assistants, agentic workflows, and autonomous agents
Level: Intermediate
Audience: DevOps engineers, IT architects, and AI enthusiasts.
Instructor:
The training is conducted by an experienced consultant from Code Club Copenhagen.
Language:
Training language and study materials will be in English.