Contenuti dettagliati del Corso
Core Foundations
- GenAI Fundamentals
Explore what GenAIOps is and how large language models work, including tokenization, context windows, and the factors that affect model behavior and performance. - Experimenting with Prompts
Learn to craft effective prompts using system prompts and user prompts, configure temperature and output parameters, and optimize prompts for specific use cases. - Evaluating Your First AI-Enabled Application
Implement prompt versioning, build evaluation pipelines, automate testing, and measure application quality systematically. - Introducing the Orchestration Layer
Introduce an orchestration layer for building GenAI applications, deploy backend services, and implement GitOps practices for continuous deployment.
Advanced Topics
- Integration and Orchestration
Deploy vector databases, build RAG pipelines for knowledge-enhanced applications, implement tool calling, and create autonomous AI agents. - Safety and Observability
Deploy AI safety guardrails, implement GenAI security practices, enable the three pillars of observability, metrics, logs, and traces. - Modeling Techniques
Explore small language models for efficient deployment and multi-modal model capabilities for handling diverse input types. - Optimization and Deployment
Apply quantization and compression techniques for improved performance, explore fine-tuning approaches, implement Models as a Service (MaaS), and bring it all together in a production deployment.