Industry 4.0 is gathering momentum globally, and many companies are looking to adopt technologies such as data analytics and Industrial Internet-of-Things (IIoT) to improve their manufacturing competitiveness. While the Industry 4.0 concept offers significant potential, the requirements for a successful transition go far beyond technology change. The Assessor program aims to develop Industry 4.0 assessment competency among the participants through practical exercises. The session is conducted in three phases to enable the participants to apply learning to their organizational setting. The faculty will guide participants for the effective assessment. The participants can independently do self-assessment after the intensive course of 5 days. The focus will be on assessment outcome for business excellence.

July 2021 | CII-IGBC’s Certification Course on Green Built Environment: 19-30 July 2021

Cyber security is disruptive and game changing. Cyber security threats to organizations as well as to individuals are growing exponentially. Highly publicized data breaches have caused huge financial as well as reputational losses to global corporations. Cyber-attacks also have the potential to impact national security and well-being of citizens. Threats are proliferating faster than our ability to respond to them which means that there is a great demand for cyber security experts. Forbes estimates that by 2020, there will be as many as 3.5 million unfilled cyber security positions in the industry. Cyber security skill development is a national priority. The CII – Tata Communications Centre for Digital Transformation (CDT) is hosting the 16th Edition of Training course on Cyber Security with Certification This would be useful to strengthen skills of cyber security professionals working with private and government organizations (institutions, industry bodies, IT/ITeS companies, manufacturing units, individuals, academicians, students, college freshers and Intelligence and/or emergency services), Corporations (including MNCs and global organizations, SMEs and start-ups) and NGOs. It would also be open to graduates desirous of pursuing a career in cyber security. KEY TAKEAWAYS • Interactive session on Latest Technologies • Learn About Best Technologies in Cyber Security • Training by Active Practitioner • Industry accepted Curriculum • Live Demonstrations of Attack • Expert Accredited Certificate COURSE COVERAGE • Introduction to Security and Risk Management • Cyber Resilience, BCP, Crisis Management • Disaster Recovery Management • Evolving Threat Landscape in Current Economy • Exploring the Cyber Attack Vector • Introduction to Cyber Security Technologies • Information Technology Asset management • Evolving Role of CISOs in Present Scenario • Information Security Standards • Cyber Policy and Frameworks • Cloud Infrastructure & Cloud Security • Network, Database and Application Security • Cyber Laws, Cyber Crime & Investigations • Security Audits - Global Risk & Compliance DURATION: 16 Hrs

In this module participants learn different approaches to actively involve the end users in the innovation process to help ensure that the product or service designed meets their needs and is usable. 1) Co creation approach to reinforcing innovation 2) Generative sessions and co creation techniques 3) Conceptualize and develop right jobs to be done

Industry 4.0 is gathering momentum globally, and many companies are looking to adopt technologies such as data analytics and Industrial Internet-of-Things (IIoT) to improve their manufacturing competitiveness. While the Industry 4.0 concept offers significant potential, the requirements for a successful transition go far beyond technology change. The Assessor program aims to develop Industry 4.0 assessment competency among the participants through practical exercises. The session is conducted in three phases to enable the participants to apply learning to their organizational setting. The faculty will guide participants for the effective assessment. The participants can independently do self-assessment after the intensive course of 5 days. The focus will be on assessment outcome for business excellence.

May 2021 | CII-IGBC’s Certification Course on Green Built Environment: 24 May - 4 June 2021

Cyber security is disruptive and game changing. Cyber security threats to organizations as well as to individuals are growing exponentially. Highly publicized data breaches have caused huge financial as well as reputational losses to global corporations. Cyber-attacks also have the potential to impact national security and well-being of citizens. Threats are proliferating faster than our ability to respond to them which means that there is a great demand for cyber security experts. Forbes estimates that by 2020, there will be as many as 3.5 million unfilled cyber security positions in the industry. Cyber security skill development is a national priority. The CII – Tata Communications Centre for Digital Transformation (CDT) is hosting the 12th Edition of Training course on Cyber Security with Certification This would be useful to strengthen skills of cyber security professionals working with private and government organizations (institutions, industry bodies, IT/ITeS companies, manufacturing units, individuals, academicians, students, college freshers and Intelligence and/or emergency services), Corporations (including MNCs and global organizations, SMEs and start-ups) and NGOs. It would also be open to graduates desirous of pursuing a career in cyber security. KEY TAKEAWAYS • Interactive session on Latest Technologies • Learn About Best Technologies in Cyber Security • Training by Active Practitioner • Industry accepted Curriculum • Live Demonstrations of Attack • Expert Accredited Certificate COURSE COVERAGE • Introduction to Security and Risk Management • Cyber Resilience, BCP, Crisis Management • Disaster Recovery Management • Evolving Threat Landscape in Current Economy • Exploring the Cyber Attack Vector • Introduction to Cyber Security Technologies • Information Technology Asset management • Evolving Role of CISOs in Present Scenario • Information Security Standards • Cyber Policy and Frameworks • Cloud Infrastructure & Cloud Security • Network, Database and Application Security • Cyber Laws, Cyber Crime & Investigations • Security Audits - Global Risk & Compliance DURATION: 16 Hrs

ABOUT THE COURSE: This curriculum is developed to help participants appreciate data science and train them to perform data science activities Intended audience: B.Com, B.Sc. graduates, B.Tech/B.E graduates, management studies and working professionals Pre-requisites: Some exposure to high school mathematics and knowledge of programming basics (preferred) Learning Objectives: • Introduce Python as a programming language for data science • Introduce the statistical foundations required for data science • Introduce data visualization techniques • Introduce machine learning algorithms Learning Outcomes: • Describe a flow process for data science problems (Remembering) • Classify data science problems into standard typology (Comprehension) • Develop Python codes for data science solutions (Application) • Correlate results to the solution approach followed (Analysis) • Assess the solution approach (Evaluation) Components of the course: • Videos will be released on a weekly basis • Online live discussions addressing the participants’ doubts, will be held at regular intervals • Each module will have an assignment that must be completed to proceed with other modules • Participants can post their queries on a question and answer forum • Final exam: Participants will be assessed through a combination of command-based Python questions, theoretical, interpretation aspects of the course and solving practical capstone case study using Python

ABOUT THE COURSE: This curriculum is developed to help participants appreciate data science and train them to perform data science activities Pre-requisites: Some exposure to high school mathematics and knowledge of programming basics (preferred) Learning Objectives: 1. Introduce Python for advanced machine learning 2. Introduce cutting-edge machine learning algorithms 3. Introduce case studies to provide an application perspective for the techniques learnt Learning Outcomes: • Describe a flow process for data science problems (Remembering) • Classify data science problems into standard typology (Comprehension) • Develop Python codes for data science solutions (Application) • Correlate results to the solution approach followed (Analysis) • Assess the solution approach (Evaluation) Components of the course: • Videos will be released on a weekly basis • Online live discussions addressing the participants’ doubts, will be held at regular intervals • Each module will have an assignment that must be completed to proceed with other modules • Participants can post their queries on a question and answer forum • Final exam: Participants will be assessed through a combination of command-based Python questions, theoretical, interpretation aspects of the course and solving practical capstone case study using Python