This certificate is awarded for the successful completion of the AI Product Management course hosted by Next Gen Product Manager. The recipient has demonstrated comprehensive knowledge in AI product strategy, machine learning, computer vision, NLP, and agentic AI. Through seven hands-on projects, they proved their ability to design, evaluate, and deliver AI-powered products that address real-world business needs.

Completion Certificate

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

VASANTHI JAGATHA 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 outstanding achievement in the Capstone Project of the AI Product Management course hosted by Next Gen Product Manager. The recipient demonstrated excellence in applying AI product management principles through real-world projects, showcasing creativity, problem-solving, and the ability to design and communicate impactful AI solutions.

Capstone Winner

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

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