Course Overview
With explosive growth in unstructured data, we have ample opportunities to design, develop and deploy AI models. While there are many courses which teach you Data Science, you need a step-by-step guide on how to select a problem, explore data, develop and deploy models and improve the model using user feedback and learning. This course provides you a methodology for AI model development and deployment and uses a case studies to give you skills and confidence.
This course covers many AI challenges and modifies CRISP-DM to deal with big data. We will introduce this methodology as modified by Authors to deal with AI and big data. Our modifications have been tried on a number of real-life large-scale projects. We will point case studies to get you an appreciation for how they get applied.
After completing this course, you will be able to
• Articulate data science process and methodology
• Understand how to analyze data sources and conduct feature engineering
• Understand how to build and integrate Data and AI driven modeling techniques
• Explore how users and experts will be engaged for model measurement and monitoring
- Understand the controls and governance aspects
Neena Sathi
Neena Sathi is a principal at Applied AI Institute. She has 30 + years of experience envisioning, designing, developing and implementing AI solutions associated with enhancing customer experience, back office automation and risk and compliance for many Fortune 100 organizations. She has worked as Director of AI Technologies at Carnegie Group, Inc, an AI startup, Accenture, KPMG, and IBM.
Neena has three masters degrees including MBA from leading US universities. She is Master certified integration architect from IBM and Open Group as well as certified Project management professional (PMP) from Project management institute. She is also certified in many Cloud and Cognitive technologies. She has widely presented and published many papers in AAAI, IEEE, WCF, ECF, IBM Information on Demand, IBM Insight, World of Watson, IBM Developer Works and various academic journals.
Learning through Videos
Videos provide you concepts and examples associated with Data Science methodology and engagements
Interactive Knowledge Checks
As you learn a concept, test your understanding using Interactive Knowledge Checks or quizzes
Final Examination Quiz
We will conduct a final examination to test your knowledge on overall concepts and knowledge associated with Data Science engagements
Course Curriculum
AAII Course Offerings
In our AI series, we have designed many courses on AI related topics such as Vision, Conversational AI, Graph AI and Data Science. We are working with a few universities in launching these courses. These courses are aimed as education aid for graduate level courses at leading US universities. We will be releasing these courses on a periodic basis using Teachable as a platform. Please select "View All Products" to view all our courses
