AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment

This program will equip professionals to lead, develop, and deploy AI systems in responsible ways that augment human capabilities. Taking a broader, holistic perspective, it emphasizes an AI system architecture approach applied to products and services and provides techniques for transitioning from development into operations. To get the most of your AI initiatives, you must consider the entire ecosystem surrounding your AI systems and then recruit and retain talented multi-disciplinary teams to be successful. Over five days, you will examine the trade-offs between roles best suited to humans vs. machines and develop the skills you need to lead and manage high-technology teams. Through interactive exercises and lectures, you will acquire practical experience building ML models using Jupyter Notebook, and master 10 principles for incorporating people, processes, and technologies in the successful deployment of AI products and/or services. You will also explore what makes GPUs and TPUs well-matched to executing machine learning algorithms. Upon completion of this program, you will have the skills to understand the AI fundamentals necessary to develop end-to-end systems, lead AI teams, and successfully deploy AI capabilities.