Multimodal Generative AI in the Enterprise: From Pixels to Profit
A Practitioner's Guide to Building Image, Audio, and Video Generation Applications
Created by Maximilian Tschochohei, Fabian Schenker
Discover how to create enterprise-grade AI applications that generate text, images, audio, and video. Gain hands-on experience designing, orchestrating, and deploying scalable generative AI systems that drive real business results. Explore practical strategies for managing, governing, and optimizing multimodal AI in production environments.
Packt | Jun 2026 | 248 min
What You Will Learn
You will move from foundational concepts to hands-on projects, building and deploying multimodal AI pipelines step by step. Each section focuses on practical implementation using real-world tools and case studies. You'll learn to manage trade-offs in model selection, scalability, and orchestration, while ensuring responsible AI practices throughout.
Key Features
- Design and deploy full-stack multimodal AI architectures for real-world use cases
- Build scalable pipelines using top enterprise tools like Gemini, Veo, and Kubeflow
- Apply best practices for AI safety, governance, and compliance in content generation
Target Audience
Ideal for software engineers, ML engineers, data scientists, and technical product managers with a working knowledge of Python, machine learning, and cloud platforms. If you want to build, deploy, and govern enterprise-ready generative AI systems that handle text, image, audio, and video, this course will help you turn technical skills into business impact.
