GenAI Architect

Operationalizing and scaling generative AI in an enterprise involves identifying high-impact use cases, building a robust data foundation, and developing, integrating, and fine-tuning AI models to streamline workflows. Ensuring robust infrastructure, continuous improvement, and strong change management enables enterprises to leverage AI for enhanced efficiency, innovation, and competitiveness. This journey is for Technologists & Developers comprising of 19 learning assets with a time investment of around 20 learning hours.