Professional Certificate in Digital Transformation Programme

Module 1: The State of Disruption
This module covers the basics of technologies that can disrupt existing industries and enable digital transformation for improving business performance and growth.

Module 2: Business Strategy Under Digital Transformation
This module is about evolution and importance of business strategies across different industries – process, product, and service innovation and the need to change strategies for the digital world

Module 3: Digital Business Models for a Digital Age
The module focusses on ways to enhance customer willingness to buy in the digital world. This module also emphasises on creating and evaluating the value proposition for a brand to achieve business growth.

Module 4: Leveraging Data as a Competitive Edge
This module explains the basics of data and data science along with how data-enabled insights help leverage growth opportunities.

Module 5: Data Analytics in Action
This module describes the different data types and data analytics. The module also introduces the different data analytical strategies and their usage to gain a competitive advantage.

Module 6: Basic Statistics for Data Analysis
This module explains basic statistical concepts and how they help in strategic decision-making in a business.

Module 7: Predictive Analytics
This module focusses on predictive analytics and their applications. The try-it activities in this module help reinforce the predictive analytic skills learnt in and identifying optimal models.

Module 8: An Overview of Artificial Intelligence and Machine Learning (AI and ML)
This module describes concepts of artificial intelligence and machine learning and their significance. The module also describes the business data types and the best practices for data-driven transformation.

Module 9: AI and ML Technologies Survey
This module focusses on the principles of supervised and unsupervised learning and the differences between the two.

Module 10: ML for Data Analytics
This module explains machine learning (ML) and how it can help in increasing business performance. The module also describes the various Artificial intelligence (AI) and ML applications and trends.

Module 11: AI/ML Applications and Trends
This module describes the AI applications in different sectors such as finance, energy, education, and security. It also describes the benefits and limitations of AI.

Module 12: AI Led-Business Transformation
This module deals with creating an AI strategy. It describes AI-led business transformations and how these platforms align with digital business strategies

Module 13: Development and Deployment of AI and ML Technologies
This module explores the machine learning life cycle and feature engineering. The module also discusses how to evaluate and deploy a machine learning model.

Module 14: Addressing Key Challenges and Risks in Data Science
This module addresses the key challenges, risks in data science, and discusses failed data science projects and explains how to predict the success of a project.

Module 15: Ethics
This module is about ethics and explains the main challenges involved in the application of ethics in various industries.

Module 16: Privacy and Regulations in AI and ML
This module describes the ethical guidelines for AI, along with personal data protection, AI-specific regulations, and the extent of regulatory governance.

Module 17: Data Science and the Future
This module explores the technology enablers for Industry 4.0. It also describes the components that are responsible for AI success while highlighting the challenges in AI implementation.

Module 18: Digital Business Implementation: Challenges and Risks
This module focusses on how organisations use reflective communication to make customers aware of their digital solution. The module discusses frameworks that can help in implementing digital transformation plans successfully.

Module 19: Business Model Innovation
This module discusses the importance of business model innovation for business growth. The module explains how technology can enable business model innovation and help transform an organisation.

Module 20:Business Model Innovation with Digital Networks
This module helps outline an action plan to grow a business ecosystem for an organisation and create a digital business ecosystem. This module also enlists ways to enhance the value proposition of business ecosystem.

Module 21: The Digital Organisation
This module covers the key barriers to the success of the digital transformation and guides on how to overcome those barriers.