Advanced Certificate in Multilingual AI: Data-Driven Language Solutions

• Advanced Natural Language Processing (NLP): This unit will cover advanced techniques in NLP, including sentiment analysis, topic modeling, and machine translation.
• Multilingual Machine Learning: Students will learn about the challenges and opportunities of developing machine learning models that can work with multiple languages.
• Data Acquisition and Preprocessing for Multilingual AI: This unit will focus on the unique challenges of acquiring and preprocessing data for multilingual AI applications.
• Multilingual Speech Recognition and Synthesis: Students will learn about the latest techniques in speech recognition and synthesis for multiple languages.
• Multimodal Language Understanding: This unit will cover the latest research and techniques in multimodal language understanding, which involves processing language in conjunction with other modalities such as vision and audio.
• Ethics in Multilingual AI: This unit will explore the ethical considerations of developing and deploying multilingual AI systems, including issues related to bias, fairness, and privacy.
• Advanced Topics in Multilingual AI: This unit will cover advanced topics in multilingual AI, such as low-resource language processing, transfer learning, and multilingual dialogue systems.
• Multilingual AI Applications: Students will learn about the various applications of multilingual AI, including machine translation, speech recognition, and natural language understanding.
• Multilingual AI Evaluation Metrics: This unit will cover the evaluation metrics used to assess the performance of multilingual AI systems, including BLEU, ROUGE, and accuracy.