Generative AI: Techniques, Models & Applications

Dr. Rajan Gupta is an AI Professional with 15+ years of combined experience in AI/ML Product & Services Delivery, Analytical Research, Consulting, Training and Teaching in the field of Data Science and Computer Science. His core experience lies in embedding and operationalizing AI/ML into scalable products, with a focus on delivery, implementation, & technical excellence backed up by research-oriented approach. He created and worked for different AI/ML Center of Excellence, efficiently managed analytical product implementation & consulting teams in various domains like EdTech, HealthTech, Telecom, Retail & Manufacturing for Fortune 500 companies. He is a visiting Sr Researcher at Artificial Intelligence & Innovation Lab, Tamaulipas Autonomous University (UAT), Mexico. He has worked on various analytical consulting assignments on problems related to the areas of Digital Government, Healthcare, Education, Retail and Insurance. He has delivered lectures at the University of Delhi and IMT - Ghaziabad in Computer Science, Data Science, Information Security and Management. He has also conducted several 1:1 live mentoring and training sessions related to upskilling of analytical career, preparations for analytical certifications and technical knowledge on Analytics Project Lifecycle for various data science professionals from reputed organizations like Verizon, Nokia, Cyient, Tech Mahindra, TCS, Ericsson and Anthem. He has done his Ph.D. in Information Systems & Analytics from the Department of Computer Science, University of Delhi, and Post-doc in Data Science and Data Modelling from the Center of Information Technologies and Applied Mathematics, University of Nova Gorica, Slovenia, Europe. He is triple masters in Analytics, Management and Computer Applications. He has authored more than 100 publications including 7 books and multiple research papers in the areas of Public Information Systems, Artificial Intelligence (AI), Machine Learning (ML), Data Science, Information Technology, and Management. He is one of the few Certified Analytics Professional (CAP-INFORMS) around the world and is serving as CAP Ambassador in Asia Region. He is the first non-US member of the prestigious Analytics Certification Board (ACB) of INFORMS, USA. He has also been accredited with 'Graduate Statistician' from the American Statistical Association (ASA). He is UGC NET-JRF qualified and holds a certificate in Consulting from Consultancy Development Centre (CDC), DSIR, Ministry of Science and Technology, Government of India. vii He has received prestigious "Standout AI Thought Leader" at 3AI Zenith Awards 2024; "AI Changemaker Leader" under 3AI ACME Awards at BEYOND 2023; "AI Makers 100" which is Top 100 Most Influential AI & Analytics Leaders Award at 3AI GCC-X Summit 2023; and "40 Under 40 Data Scientists" award for 2022 by Analytics India Magazine at MLDS 2022. His areas of interest include Artificial General Intelligence (AGI), Generative AI (GAI), EdgeAI, Metaverse, Algorithmic Government, Hyper-automation, Network Science, Data Science, E-Governance, Public Information Systems, and Information Security. He has contributed to the E-Governance Development Index report by the United Nations (EGDI 2020). He is a member of the reviewer panel of multiple international journals & conferences. He has also delivered a talk as a panelist on Data Science Application for E-Governance on an international forum sponsored by International Data Engineering and Science Association (IDEAS), USA, and conducted a Global Workshop on "Inclusion of Marginalized Communities" through Electronic Governance and Analytics at ICEGOV-2020 hosted by United Nations University, amongst many Corporate events, Panel Discussion, Enterprise Webinars, Faculty Development Programs, News Channel Debates and Research events, as an AI/ML & Data Analytics expert.

Dr. Sanju Tiwari (CEO and Founder of ShodhGuru Research Labs, India) is a Professor

Introduction to Artificial Intelligence.- Computational Foundation of Generative AI Models.- Generative AI Techniques and Models.- Foundation Models.- Large Language Models.- Large Generative Models for Different Data Types.- Prompt Engineering.- Applications of Generative AI Models.- Ethics, Governance, Security and Privacy.- Fairness and Biases in Generative AI.