A Practical Guide to Oracle AI Engineering
Build intelligent apps with machine learning and AI across cloud and on-premises environments
TGHACreated by Erik Benner, Tural Gulmammadov, Hicham Assoudi
Explore how to build intelligent applications using Oracle machine learning and AI tools across both cloud and on-premises environments. Learn to turn enterprise data into actionable insights and deliver secure, scalable AI solutions that drive real business value.
Packt | May 2026 | 354 min
What You Will Learn
You will work through scenario-driven examples that guide you from raw data preparation to deploying AI-powered applications. Along the way, you will build and optimize models, integrate GenAI agents, and apply best practices for monitoring, security, and MLOps. Each step is grounded in real-world enterprise needs.
Key Features
- Design and deploy scalable AI and ML workflows using Oracle technologies
- Integrate GenAI and vector search for smarter, business-ready applications
- Apply MLOps and security best practices for robust enterprise AI solutions
Target Audience
Ideal for data engineers, architects, and IT professionals with some experience in data workflows who want to advance their skills in building, managing, and optimizing AI solutions. If you are looking to overcome challenges in deploying secure, scalable ML and GenAI applications, you will find actionable strategies and practical guidance here.
