Generative AI for Systems Analysis and Architecture

As the landscape of information technology shifts, systems analysts and architects must adapt to the transformative power of generative AI to remain efficient and relevant. This course provides the foundational knowledge to integrate AI into your professional workflow, from initial requirement analysis to final architectural design. You will learn how to use these tools to enhance productivity while maintaining the technical rigor required for enterprise-level solutions. What you'll learn: - Understand the fundamental principles of generative AI and its role in the modern software development lifecycle - Master prompt engineering techniques specifically tailored for technical documentation and requirement elicitation - Apply AI-assisted methods to model business processes and create detailed system specifications - Explore the integration of Retrieval-Augmented Generation (RAG) patterns into enterprise architectures - Evaluate AI-generated outputs for technical accuracy, security, and architectural integrity - Practice drafting data schemas and API definitions using intelligent automation The curriculum begins with essential terminology and core concepts before moving into practical applications for documenting, modeling, and designing robust IT systems. You will read through detailed explanations and apply your knowledge through written exercises focused on real-world analysis scenarios. This course is designed for beginning analysts, architects, and IT professionals with no prior AI experience. Prepare your career for an AI-enhanced future in systems design.