up:: [[DBA Emerging Technologies (GenAI)]] tags:: #source/course #on/AI #on/innovation # DBA806 - Applied AI Innovation These are my personal notes and interpretations of the course material, written to deepen my own understanding and help teach others. #### Course Description The Doctoral Seminar in Applied AI Innovation is an advanced interdisciplinary course designed for doctoral-level students seeking to push the boundaries of AI innovation. This course will provide an immersive and research-oriented experience, enabling students to explore cutting-edge AI techniques and methodologies to drive innovation across diverse domains. We will cover AI Fundamentals and Innovation Landscape, Ethical AI and Practical Implementation and Applied Innovation and Capstone Project Specific emphasis will be given to AI based innovation, patenting and product development. #### My Thoughts ... #### Course Modules * [[DBA806 M1 - A Brief History of AI Innovations]] * [[DBA806 M2 - A Practitioners Guide to AI Capabilities]] * [[DBA806 M3 - A Computer Scientist’s Guide to AI]] * [[DBA806 M4 - AI in Model Development]] * [[DBA806 M5 - AI In Healthcare]] * [[DBA806 M6 - AI in Finance]] * [[DBA806 M7 - ML Frameworks in AI]] * [[DBA806 M8 - Innovation Framework in AI - POC to Product]] * [[DBA806 M9 - Productionizing AI and ML]] * [[DBA806 M10 - Data Flywheel and CT]] * [[DBA806 M11 - Prompts to RAGs]] * [[DBA806 M12 - The Economics of AI]] --- ## Extras ...