This credential recognizes the completion of the AI for Speech, Text, and Audio module. The recipient demonstrated knowledge of NLP techniques including tokenization, bag-of-words, word embeddings, and transformers. They evaluated trade-offs between accuracy, speed, and cost, and built a use-case-specific CustomGPT aligned with product and user needs.

The recipient has successfully completed the assignment by evaluating real-world NLP use cases and building a custom GPT model tailored to a specific product or audience need. They demonstrated a working knowledge of key NLP components, the ability to choose the right modeling technique based on business constraints, and an understanding of when to leverage classical approaches versus modern transformer-based solutions.