Designed for experienced streaming engineers, QA, DevOps, media operations, and technical leaders, the preview focuses on where AI can safely and effectively fit within the streaming software development lifecycle. Rather than emphasizing tools, it highlights vendor-neutral patterns and demonstrative examples grounded in real-world OTT scenarios. The preview covers:

• Using AI during planning and discovery to translate early inputs into actionable artifacts
• Applying AI to development and testing workflows without removing human ownership
• Identifying where AI can assist in operational analysis and support
• Understanding how AI fits across the streaming SDLC as a connected workflow, not isolated tasks

Playback Ready Preview: AI for the Streaming SDLC is designed as a low-risk way for streaming professionals to explore AI adoption, build confidence, and understand practical entry points before deeper investment. The preview also sets the stage for a forthcoming full course that will expand on these patterns in greater depth. Also included, is a downloadable practical guide to applying prompt engineering principles specifically for the end-to-end software development lifecycle of video streaming and OTT platforms.