Artificial Intelligence: Principles and Techniques

Artificial Intelligence: Principles and Techniques


    What is 2 x 4 ?


    FOR EXECUTIVES

    Gain the knowledge and confidence to leverage Artificial Intelligence for competitive advantage

    100% live lectures by faculty from top global schools
    Integrated group work on real world projects
    Record of participation from UCLA extension
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      What is 2 + 4 ?


      Starts on
      14 May 2022

      Duration
      8 weeks (Live Virtual)

      Program Fee
      INR 95,000 + GST

      About the Program

      Artificial Intelligence (AI) has emerged as one of the most important disruptions facing business and society over the next several decades. The confluence of rapid progress in computation, big data and analytics has accelerated technological change and has introduced a new urgency into understanding the impact of AI on business, government and society. 

      Strategies regarding the effective application of AI to business need to be articulated and executed. There will be significant new opportunities as the underlying forces of AI disruption and value creation are leveraged. Succeeding in this rapidly changing world will require both a solid understanding of AI enabled products, services and business models and an inspirational leadership style to be bold, take risks and lead complex change.

      What you will learn

      The goal of this course is to provide an effective combination of theory and practice of AI. Lectures and case studies will provide a rich forum for in-class discussions. You will assemble key insights along three important dimensions:

      1. Core AI technologies
        The program will provide an overview of the key underlying technologies of AI along with an indication of forthcoming trends. No prior programming knowledge is required.
      2. Innovative business applications of AI
        Examples of innovative applications of AI in various sectors will be covered along with their strategic rationales and implementation challenges.
      3. Human and societal implications of AI
        AI for the good of all is a key theme as AI systems are deployed and trust in AI systems is engendered in society.

      Upon completion of the program, you will be ready to apply your knowledge to lead strategic decision making to leverage AI technologies in your business.

      Who should take this course?

      This program is designed for a broad range of executives across industry sectors. Managers of all functions and senior executives can learn to effectively analyze, articulate and apply key AI management and leadership insights in their teams and organizations.

      This program will benefit you if
      • You are seeking to leverage the benefit of AI technologies in your function or business
      • You are interested to learn more about the leading trends in AI technologies such as machine learning, robotics and natural language processing.
      • You are keen to apply AI to drive business innovation and new product development
      • You want to use the power of AI to deliver more value to your customers such as through personalization and new value adding services.
      • You are a senior executive wishing to create a strategy for applying AI within your organization.

      Record of Participation

      Upon successful completion of the course, you will be awarded Rerecord of Participation from the University of California, Los Angeles (UCLA) Extension

      Share on LinkedIn

      You can share your Record of Participation in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

      Indicative Course Faculty

      You will learn from world class instructor in this program from leading business schools and global corporates.

      Professor Amit Basu

      Professor Amit Basu is the Carr P. Collins Endowed Chair at the Cox School of Business at Southern Methodist University in Dallas, where he also chairs the IT and Operations Management department. Professor Basu has also been a faculty member at Vanderbilt University and the University of Maryland at College Park, and a visiting professor at INSEAD, the Vlerick Management School in Belgium and the Indian Institute of Management. 

      Professor Basu’s research and teaching interests are in the areas of knowledge and data base systems, decision support systems, digital strategy, electronic commerce, and workflow management. He has published technical papers on these topics in a variety of leading publications, both major academic journals and business publications such as the Sloan Management Review and the Wall Street Journal. He has chaired the organizing committees and program committees for several international conferences and served on the editorial boards of the top academic journals in the Information Systems field. He served as the President of the INFORMS Information Systems Society in 2012 and 2013. 

      In addition to his research and teaching, Professor Basu has been a consultant and advisor to a number of private and public sector organizations, both in the USA and Western Europe, including Dow Corning, Cisco, Accenture, IBM, Belgacom, Merck, eTex, Leonidas, State Industries, the State of Maryland and the Government of Flanders in Belgium. He has also served as an expert witness in e-Commerce and IT, and as an advisor to several technology ventures. He received his Ph.D. from the University of Rochester, his M.B.A. from Southern Illinois University, and his B.Tech. in Electrical Engineering from IIT Delhi.

      Professor Soumitra Dutta

      Soumitra Dutta is a Professor of Management at and the former founding dean of the SC Johnson College of Business at Cornell University, New York. He is the founder of the Global Innovation Index, published by the World Intellectual Property Organization and was the co-editor of the Global Information Technology Report, published by the World Economic Forum – two influential reports in technology and innovation policy. He is also the founder and President of Portulans Institute, a non-partisan nonprofit research and education institution based in Washington DC. 

      Dutta is on the global boards of Sodexo and Dassault Systemes. He is also a member of the Shareholder Council of Chicago-based healthcare consulting company ZS Associates. Dutta is a member of the Davos Circle, an association of long-time participants in the Annual Davos meeting of the World Economic Forum. He was the co-chair of the World Economic Forum’s Global Future Council on Innovation Ecosystems. He is also the Chief Academic Advisor to the Artificial Intelligence Forum of the Confederation of Indian Industry).

      Professor Lutz Finger

      Professor Lutz Finger is a Data Scientist in Residence at Cornell University. He runs the highly successful course “Designing Data Products” and is the author of the book “Ask Measure Learn.” Lutz heads up the predictions efforts in Google health. At Snap Inc. Lutz has built the data science and data analytics team. At LinkedIn Lutz has led the Economic Graph Challenge – an exercise where LinkedIn data is used to create innovative products. As co- founder and former CEO of Fisheye Analytics, a media data-mining company, he supported governments and NGOs with data insights. Fisheye Analytics was acquired by the WPP group. He has an MBA from INSEAD, as well as an MS in quantum physics from TU Berlin.

      Professor Karnak Roy

      Mr. Karnak Roy is an Assistant Professor at Administrative Staff College of India. He holds a Masters in Business Management and a B.Tech in Computer Science and Engineering. He has completed PhD thesis submission at Calcutta University (CU), Calcutta. 

      He has been working with the Administrative Staff College of India since July 2014, first as a Project Consultant till January 2017, next as a Junior Research Fellow till January, 2018 and again as a project consultant till May, 2019. In June, 2019 he joined ASCI as an Assistant Professor. Prior to joining ASCI, he worked as an Assistant Professor of MBA in Seacom Engineering and Management College, Calcutta and at IBM as an Application Developer prior to joining Seacom. 

      At ASCI, he has worked on important science policy and evaluation studies sponsored by the Department of Science and Technology, Ministry of Steel, Department of Posts, Ministry of Health and Family Welfare, Bill and Melinda Gates Foundation and many. 

      Findings of one recent study where he actively took part as a consultant have been used in formulation of draft “Scientific Research Infrastructure Sharing Maintenance and Network (SRIMAN) Policy”. 

      His area of interests are- Innovation Management, Science Administration and Research Management, Quantitative and Qualitative Evaluation Techniques, Quantitative Methods, Business Analytics and Management Information System.

      Professor Nirmalya Bagchi

      Nirmalya Bagchi is the Dean of Research and Management Studies, Director for PGDM, Professor, Centre for Management Studies at Administrative Staff College of India. He holds a PhD in Business Management and a Masters in Business Management. 

      He has been working with the Administrative Staff College of India since September 2006, first as an Associate Professor till October 2012 and after his promotion in November 2012, as Professor. He had worked as Lecturer in Indian Institute of Social Welfare and Business Management Calcutta. 

      At ASCI, Dr Bagchi has worked on important assignments sponsored by the Department of Science and Technology, Bill and Melinda Gates Foundation, Defence Research and Development Organisation, European Commission, UNICEF, Department of Administrative Reforms and Public Grievances, Reserve Bank of India, Sardar Vallabhbhai Patel National Police Academy (Ministry of Home Affairs), Ministry of Steel, Ministry of Skill Development and Entrepreneurship, Department of Scientific and Industrial Research, Department of Electronics and Information Technology, Commonwealth Secretariat, Department of Biotechnology, DoPT, TIFAC, ICFRE, CIPS, FMC, and INAE. 

      Each year he conducts Management Development Programmes on themes related to Innovation Management, Innovation Strategy, Technology Value Chains and R&D Management for scientists and technologists of the country. 

      Findings of one of his studies titled “Study to Identify Policy Measures for New Science, Technology and Innovation Policy, 2013”, sponsored by the Department of Science and Technology, has been used to develop the new Science, Technology and Innovation Policy 2013 of the country. 

      Dr Bagchi has written books, book chapters, and academic papers. Dr Bagchi’s current research interests are in the areas of innovation and its management, R&D management, economics of R&D and innovation, and strategic management of technology. 

      He has been trained on Statistical Methods and Applications from Indian Statistical Institute, Calcutta, on E-Governance by UNAPCICT, and on Executive Evaluation by UNICEF.

      Program Structure

      During the program you will have the chance to learn from world class faculty through live virtual lectures delivered from the USA on the Igesia learning platform. You will interact with industry executives and better understand ongoing trends in Indian and global business. You will be given the opportunity to work in groups on projects of relevance to your business contexts.

      Orientation

      You will be welcomed to the program and start connecting with fellow participants in the program and get an overview of the forthcoming program. You will also start forming teams and start considering questions to explore in your customized project work.

      Module 1
      Introduction to Artificial Intelligence and Knowledge-based AI systems

      You will be welcomed to the program and start connecting with fellow participants in the program and get an overview of the forthcoming program. You will also start forming teams and start considering questions to explore in your customized project work.

      Live Virtual Session with Industry Expert
      Module 2
      Machine Learning and Data-based approaches to AI

      Many of the impressive recent successes of AI have been enabled by the application of deep learning technologies. The application of data intensive approaches with machine learning in different sectors will be explored in this program module.

      Live Virtual Group Work led by Program Coach
      Module 3
      Implementation of AI Systems in Organizations

      This module of the program will focus on how organizations can implement AI successfully to win in the competitive global marketplace. Firms have to creatively integrate the human and technological dimensions within an appropriate strategic and governance framework.

      Live Virtual Session with Industry Expert
      Module 4
      AI and Societal Impact

      This module of the program will focus on how organizations can implement AI successfully to win in the competitive global marketplace. Firms have to creatively integrate the human and technological dimensions within an appropriate strategic and governance framework.

      Live Virtual Group Work led by Program Coach
      Module 5
      Future of AI

      This concluding module of the program will focus on trends in core AI technologies and prepare you for disruptions that may occur over the next decade. You will explore how you can provide the vision and lead the change to help your organization to win in the world of AI.

      Post Program
      Record of participation from the University of California, Los Angeles (UCLA) Extension

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