Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Rishi Kumar's Credentials
- Rishi Kumar's Wallet
- Computing Paradigms : Summary & Key Takeaways
- Computing Paradigms: Summary & Key Takeaways
- Computing Paradigms : Cloud and Edge Computing
- Edge Computing : Applications, Case Studies & Limitations
- Edge Computing: Architecture, Platforms and Case Studies
- Architecture : Edge Computing & Platforms
- Computing Paradigms : Introduction & Role of Edge Computing
- Cloud Computing Fundamentals
- Cloud Computing : Key Takeaways & Future
- Introduction & Cloud Computing Fundamentals
- Cloud Service Models
- Cloud Deployment Models
- Cloud Computing: Deployment, Service Models and Key Takeaways
- Digital Platforms and Lifecycle Management
- DPLM: Key Takeaways and Future Trends
- DPLM: Key Takeaway and Future Trends
- DPLM Case Studies: Data Protection, Digital Payments, and Content Streaming
- DPLM Case Studies: Plant, Engineering, Energy, Management and Automation Solutions
- Case Studies: Digital Platforms & Lifecycle Management
- Introduction to Digital Platforms and Lifecycle Management
- Digital Platforms: Characteristics, Types and Benefits
- Phases of Digital Platform Lifecycle Management (DPLM)
- Phases of Digital Platform Lifecycle Management
- Digital Platforms: Characteristics, Types and Benefits
- Digital Platform Management: Challenges and Opportunities
- Introduction to Digital Platforms and Lifecycle Management
- Digital Platform Management: Challenges and Opportunities
- Digital Technologies: Key Takeaways and Conclusion
- Digital Technologies: Future Trends and Key Takeaways
- Digital Technologies-Part 2: AR, VR, Blockchain and 3D Printing
- 3D Printing: Applications in the Real World
- 3D Printing: Fundamentals, Types and Challenges
- Emerging Technologies: Future Trends and Advancements
- 3D Printing Technology
- IoT & Industrial IoT: CASE STUDIES
- ROBOTICS: Components, Programming and Applications
- DRONES: Applications, Benefits and Challenges
- ROBOTICS & DRONES
- IoT and Industrial IoT
- Robotics: CASE STUDIES
- DIGITAL TECHNOLOGIES: Future Trends and Key Takeaways
- Digital Twin: CASE STUDIES
- DIGITAL TWIN
- Digital Technologies: IoT, IIoT, Robotics and Digital Twin
- DIGITAL TECHNOLOGIES : Future Trends and Key Takeaways
- DIGITAL TWIN: Applications, Ecosystem, Advantages and Challenges
- Blockchain Technology : Fundamentals, Types and Cryptocurrency
- Virtual Reality: Types, Applications & Challenges
- AR and VR Technologies : Principles, Components and Platforms
- Augmented Reality: Application & Challenges
- Introduction: AR, VR, Blockchain and 3D Printing
- Blockchain Technology: Application and Challenges
- Introduction: AR, VR, Blockchain and 3D Printing
- Augmented Reality (AR) and Virtual Reality (VR)
- Blockchain Technology
- Introduction to IoT, IIoT, Robotics and Digital Twins
- IoT & Industrial IoT : Application, Architecture, Platforms and Challenges
- Introduction to IoT, IIoT, Robotics & Digital Twin
- Module 01 - Summary and Conclusions
- Module 01 - Summary and Conclusion
- Digital Transformation: Embracing the Future
- Implementing Digital Transformation
- Digital Technologies for Transformation
- Digital Technologies for Transformation: IoT, Augmented Reality & Virtual Reality
- Challenges in Implementing Digital Transformation
- Strategy for Implementing Digital Transformation
- Successful Digital Transformation Case Study - MAERSK
- Successful Digital Transformation Case Study - Enel
- Successful Digital Transformation Case Study - E.On
- Digital Transformation : Examples and Case Studies
- Digital Technologies for Transformation: Cloud Computing & Big Data & Analytics
- Introduction to Digital Transformation & Key Drivers
- Introduction to Digital Transformation and Key Drivers
- Developing an Effective Business Case
- Six Sigma Control Charts
- Six Sigma Process Control Tools
- Six Sigma Hypothesis Tests for Variances and Proportions
- Six Sigma Design of Experiments
- Six Sigma Root Cause Analysis and Waste Elimination
- Six Sigma Cycle-time Reduction and Kaizen Blitz
- Six Sigma Statistical Process Control Basics
- Six Sigma Hypothesis Testing Fundamentals
- Six Sigma Exploratory Data Analysis
- Six Sigma Process and Performance Capability Measurement
- Six Sigma Measurement Systems Analysis
- Six Sigma Statistics and Graphical Presentation
- Six Sigma Data Classification, Sampling, and Collection
- Six Sigma Probability and Statistical Distributions
- Six Sigma Performance Metrics
- Six Sigma Process Documentation and Analysis
- Team Dynamics and Performance for Six Sigma Projects
- Six Sigma Project Management Essentials
- Management and Planning Tools for Six Sigma
- Identifying Six Sigma Projects
- Six Sigma Voice of the Customer
- FMEA and Design for Six Sigma
- Lean Principles in Six Sigma Projects
- Organizational Goals and Six Sigma
- Six Sigma Control Tools and Documentation
- Six Sigma Measurement System Analysis
- Data Analysis and Root Cause Analysis in Six Sigma
- Six Sigma Correlation, Regression, and Hypothesis Testing
- Classifying and Collecting Data
- Six Sigma: Project Management Basics
- Six Sigma Techniques for Improvement
- Lean Tools and FMEA
- Basic Six Sigma Statistics
- Six Sigma and Lean: Foundations and Principles
- Six Sigma: Quality Tools
- Six Sigma: Team Basics, Roles, and Responsibilities
- Six Sigma: Metrics
- Six Sigma: Identifying Projects
- Responding to Risk (PMBOK® Guide Sixth Edition)
- Planning Risk Management (PMBOK® Guide Sixth Edition)
- Managing a Project to Minimize Risk and Maximize Quality
- Creating a Project Schedule and Budget
- Exploring Project Management, Then and Now (2021 Update)
- Ethics and Project Management
- Leadership Transitions: Becoming a Frontline Manager
- New Project Manager Essentials
- Rishi Kumar's Transcript
- Rishi Kumar's Wallet
- About Accredible