This tutorial explores the evolving intersection of Natural Language Processing (NLP), Generative AI, and language education. It provides a comprehensive overview of how recent advances in NLP – from automated item generation and grammatical error correction to multimodal tutoring systems and real-time feedback – are transforming language learning and assessment. A central focus is on the potential of Large Language Models (LLMs) for personalised instruction, interactive evaluation, and inclusive learning experiences. Drawing from both academic research and real-world applications, the tutorial will cover cutting-edge methodologies, system design, and ethical considerations, offering participants practical insights into the responsible development and deployment of AI-driven educational tools. Through case studies and demonstrations, attendees will engage with emerging technologies that support more effective, equitable, and adaptive language learning.