| Technology Introduction |
| Cloud fundamentals, service models (IaaS, PaaS, SaaS). |
| Security, scalability, and cloud-based data management benefits. |
| Examples of cloud adoption across various sectors. |
| Industry Outreach |
| BFSI: Cloud for secure storage and regulatory compliance. |
| Healthcare: Cloud's role in data interoperability and telemedicine. |
| Manufacturing: Real-time monitoring and enhanced data sharing via cloud. |
- Teacher: Admin User
| Technology Introduction |
| AI Overview: Basics of AI and machine learning models. |
| Power BI & Analytics: How Power BI drives insights; focus on analytics for actionable data. |
| Industry Outreach |
| BFSI: AI for fraud detection, Power BI for customer data insights. |
| Healthcare: AI for diagnostics, analytics for patient outcome trends. |
| Manufacturing: Predictive maintenance and supply chain insights with AI and analytics. |
- Teacher: Admin User
| Introduction by Nishant Sachdeva: |
| Overview of training objectives and expectations. |
| Emphasis on industry-led approach for ISRs and ESRs. |
| Key takeaways and outcomes for the week’s training sessions. |
| Technology Introduction – Product Engineering |
| Overview of Product Engineering: Key principles and recent innovations. |
| Product development methodologies (Agile, DevOps) and their impact. |
| Real-world examples demonstrating Product Engineering in action. |
| Industry Outreach |
| BFSI: Applications of Product Engineering in Banking and Financial Services. |
| Healthcare: Product Engineering’s role in healthcare data management and compliance. |
| Manufacturing: Role of Product Engineering in smart manufacturing and automation. |
- Teacher: Admin User