Executive Development Programme in Building Language AI Teams

• Unit 1: Introduction to Language AI & Building Effective Teams – Understanding the basics of language AI, team dynamics, and the importance of building a strong team for language AI projects.
• Unit 2: Identifying & Recruiting Language AI Talent – Techniques for finding and hiring the right people for your language AI team, including data scientists, linguists, and software engineers.
• Unit 3: Setting Up a Language AI Project – Best practices for initiating and managing language AI projects, including project planning, team communication, and collaboration.
• Unit 4: Data Management for Language AI – Strategies for collecting, processing, and storing data for language AI projects, including data privacy and security considerations.
• Unit 5: Natural Language Processing (NLP) Fundamentals – An overview of NLP techniques, algorithms, and models used in language AI, including text classification, sentiment analysis, and named entity recognition.
• Unit 6: Machine Learning & Deep Learning for Language AI – Understanding the role of machine learning and deep learning in language AI, including supervised, unsupervised, and reinforcement learning.
• Unit 7: Evaluating & Improving Language AI Models – Techniques for evaluating the performance of language AI models, including metrics, testing, and validation, and strategies for improving model accuracy and reliability.
• Unit 8: Ethics & Bias in Language AI – Understanding the ethical implications of language AI, including issues related to bias, fairness, transparency, and accountability, and strategies for addressing these issues.
• Unit 9: Deploying & Maintaining Language AI Systems – Best practices for deploying and maintaining language AI systems, including scalability, reliability, and monitoring.
• Unit 10: Future Trends in Language AI – An overview of emerging trends and developments in language AI, including new technologies, applications, and research areas.