Build an Enterprise Agentic App With RAG - Language Arabic

About this course

هذه الدورة مقدمة باللغة العربية.Most AI courses teach you how to build a chatbot. In this course, you’ll go much further.

You’ll build a complete Enterprise Agentic AI application powered by Retrieval-Augmented Generation (RAG) using OutSystems, Azure OpenAI, Azure AI Search, and modern enterprise architecture.

This is a hands-on, project-based course where every concept is implemented in a real application. By the end of the course, you’ll have built an enterprise knowledge assistant capable of indexing documents, performing vector search, retrieving relevant information, and generating accurate AI-powered responses.

Throughout the course, you’ll learn how to:

• Build an end-to-end Enterprise RAG pipeline
• Integrate OutSystems with Azure OpenAI and Azure AI SearchUpload, process, and index enterprise documents
• Implement document chunking and vector embeddings
• Perform semantic and vector search
• Build intelligent AI agents capable of answering questions using enterprise knowledge
• Design scalable and production-ready enterprise applications
• Apply real-world architecture and best practices used in enterprise software development

Unlike many AI courses that focus only on theory or isolated code samples, this course demonstrates how Enterprise AI systems are actually built in production.

Whether you’re an OutSystems developer, software engineer, solution architect, or AI enthusiast, you’ll gain practical experience building a complete Enterprise AI application from scratch.

If you’re ready to move beyond chatbot demos and start building real Enterprise AI solutions, this course is for you.

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