Architectures for the Intelligent AI-Ready Enterprise
Building real-world solutions with MongoDB
Created by Sebastian Rojas Arbulu, Boris Bialek, Taylor Hedgecock
Explore practical frameworks for building AI-ready enterprise architectures that deliver real business value. Learn how leading organizations use advanced patterns like agentic systems, semantic protection, and multi-agent coordination to transform operations across industries. Gain the skills to modernize infrastructure and implement scalable, trustworthy AI solutions.
Packt | Sep 2025 | 510 min
What You Will Learn
You will work through real-world case studies and reference patterns that show how to align modernization with AI innovation. By examining examples from industries like healthcare, finance, and retail, you will see how to implement GenAI, RAG, and agentic systems that drive measurable business impact. The focus is on actionable strategies and technical depth.
Key Features
- Design scalable AI-ready data architectures for real-world production environments
- Implement governance, privacy, and compliance frameworks for trustworthy AI
- Apply advanced patterns like agentic AI and multi-agent systems to solve enterprise challenges
Target Audience
Ideal for IT leaders, enterprise architects, and solution designers looking to move AI from concept to production. If you are modernizing legacy systems, building scalable AI solutions, or aiming to achieve measurable outcomes with AI, you will benefit from practical frameworks and proven patterns. Some familiarity with enterprise systems and data architecture is helpful, but deep AI expertise is not required.
