Deepika has been awarded a credential for Project 4 : Build A CV Model by Next Gen Product Manager

Project 4 : Build A CV Model

This credential recognizes the successful completion of the AI prototyping module in the Next Gen Product Manager program. The recipient has demonstrated the ability to design, prototype, and build real-world AI applications using AI prototyping tools. This includes end-to-end product development, from defining AI product requirements to creating and testing AI prototypes in a practical, real-world setting.

Project 1: Build and Deploy an AI App!

This credential recognizes the successful completion of the Machine Learning module in the Next Gen Product Manager program. The recipient has demonstrated foundational knowledge of machine learning concepts, data preparation, model building, and evaluation. They gained hands-on experience working with structured datasets, explored data through analysis, and successfully built a predictive ML model while understanding critical concepts like overfitting, underfitting, and model generalization.

Project 3 : Build A Model

This credential recognizes the completion of the Defining a Problem to Solve with AI module. The recipient demonstrated the ability to evaluate product challenges, apply decision frameworks to compare AI vs. heuristic approaches, and propose practical solutions. They successfully identified real-world use cases, assessed data needs, and recommended AI or hybrid strategies based on tradeoffs and constraints.

Project 2 : AI Product Strategy

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.

Project 5 : Create a CustomGPT

This credential recognizes the completion of the Agentic AI module. The recipient demonstrated the ability to design AI agents using prompt engineering, RAG, and agent frameworks. They built agents with goal-driven autonomy and selected appropriate architectures (single or multi-agent) aligned with real-world business scenarios and operational constraints.

Project 6 :  Shipped an AI Agent

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