GenAI Model Development and Production Engineering
Develop, deploy, monitor, and optimize GenAI systems for production environments
Gain hands-on skills to develop, deploy, and maintain generative AI models in real-world production environments. Explore practical workflows for fine-tuning, infrastructure planning, monitoring, and optimization so your GenAI systems are reliable, scalable, and cost-effective.
Starweaver | Jun 2026 | 268 min
What You Will Learn
You'll start by exploring GenAI architecture and development environments, then move into model selection, integration, and fine-tuning. As you progress, you'll build practical workflows for deployment, monitoring, and maintenance, using real-world patterns and tools to ensure your AI systems are dependable and efficient.
Key Features
- Fine-tune GenAI models and prepare training data for custom enterprise use cases
- Design and implement robust deployment and monitoring strategies for production
- Apply optimization techniques like semantic caching and edge deployment for scale
Target Audience
Ideal for ML engineers, DevOps professionals, platform engineers, and technical architects who manage AI infrastructure. If you're responsible for deploying, monitoring, or optimizing GenAI applications in production, you'll find actionable strategies and skills to make your systems robust and scalable.
