SAP AI Engineering Bootcamp: Joule, AI Core & Apps
About this course
“This course contains the use of artificial intelligence”Are you ready to build real enterprise-grade AI applications using the SAP AI ecosystem? This course is a complete, hands-on journey into SAP AI Engineering, where you will learn how to design, build, deploy, and optimize production-ready AI systems using SAP BTP, Joule (SAP AI Copilot), and SAP AI Core. Whether you're starting from scratch or looking to level up your skills, this bootcamp will take you from foundations to advanced system design, real-world deployment, and monetization.This is not a theory-heavy course. You will work on end-to-end AI applications, learn enterprise architecture patterns, and build systems that are actually used in real business environments. You will explore Generative AI in SAP, master prompt engineering for enterprise workflows, and design intelligent systems that automate real processes. Along the way, you will connect Joule with AI Core, integrate APIs into applications, and build data pipelines that power scalable AI solutions.You will also gain deep experience in AI system design, including microservices architecture, workflow orchestration, and automation pipelines. The course walks you through how to deploy systems using CI/CD pipelines, monitor them using logging and observability tools, and ensure they are optimized for performance, scalability, and cost efficiency. These are the exact skills required to build production-level AI systems, not just prototypes.A major focus of this course is practical implementation. You will build your first SAP AI application, create automation workflows, deploy
69/100
CourseAsk score
- What the provider tells you
- 45/45
- Who stands behind it
- 8/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Design and build AI applications using SAP Joule and AI Core
- Deploy systems using CI/CD pipelines
- Implement microservices architecture and automation workflows
- Integrate APIs and build data pipelines for AI solutions
Course objectives
- Provide practical experience in AI engineering
- Develop skills in enterprise architecture patterns
- Enable students to optimize AI systems for performance and scalability
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