Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Sahil .'s Credentials
- Sahil .'s Wallet
- Case Study 01: Brahmaand AI
- Implementing Business Model Innovation
- Implementing Business Model Innovation
- Case Study 02: Adani IRM
- Case Study 03: SOUL Proposition
- Business Model Innovation in Adani: Case Studies
- BMI - Summary and Key Takeaways
- Business Model Innovation - Summary and Key Takeaways
- Business Model Innovation
- Understanding the Digital Business Models: Characteristics and Types
- Understanding the Digital Business Models: Characteristics and Types
- The Business Model Canvas
- The Business Model Canvas
- Assessing Business Model Viability
- Assessing Business Model Viability
- Working with Data in PivotTables in Excel 2019 for Windows
- Working with Macros in Excel 2019 for Windows
- Referencing Data in Excel 2019 for Windows
- Forecasting & Solving Problems in Excel 2019 for Windows
- Using Conditional Formulas in Excel 2019 for Windows
- Finding & Grouping Data in Excel 2019 for Windows
- Custom & Conditional Formatting in Excel 2019 for Windows
- Using Basic Formulas in Excel 2019 for Windows
- Inserting & Manipulating Data in Excel 2019 for Windows
- Creating & Saving Workbooks in Excel 2019 for Windows
- Sharing & Collaborating on a Document in Excel 2019 for Windows
- Policy on Human Rights at Adani
- Anti-Slavery Policy
- Code of Conduct Policy
- Introduction to Business Model Innovation
- Introduction to Business Model Innovation
- Project Selection & Initiation
- Scope, Schedule, & Cost Planning
- Resource & Risk Planning
- New Project Manager Essentials
- Creating a Project Schedule and Budget
- Defining a Project Scope and Team
- Navigating through Changes and Conflicts in Projects
- Managing a Project to Minimize Risk and Maximize Quality
- Design Thinking: Summary and Key Takeaways
- Design Thinking
- Design Thinking: Summary & Key Takeaways
- DEI and Human Rights
- Stanford Design Thinking Model: Prototyping & Testing
- Stanford Design Thinking Model: Ideate the Solution, Prototype & Test
- Design thinking in Action
- Design thinking in Action
- Introduction to Design Thinking
- Introduction to Design Thinking
- Popular Design Thinking Models - UPI Story
- The Design Thinking Methodology
- Empathy & Ecosystem Mapping: Pavement Design Use Case
- Stanford Design Thinking Model: Empathy tools, User Persona & Maps
- Stanford Design Thinking Model: Point of View & HMW Questions
- Stanford Design Thinking Model: Understand Consumer Needs & Identify the Problem
- Stanford Design Thinking Model: Analogical Thinking & Challenging Assumptions
- TL Foundation CTQ Awareness Ver 1.0
- TL Erection CTQ Awareness
- Analytics & AI Essentials: Conclusion and Summary
- Analytics and AI Essentials - Part 02
- Analytics & AI Essentials: Conclusion and Summary
- AI Ethics & Biases
- AI : Ethics & Biases
- AI Lifecycle Management
- Types of Machine Learning
- AI Journey: Progression and Potential Challenges
- Demystifying Key Terminologies of AI
- AI Tools and Industrial Applications
- Disciplines of AI & Types of Machine Learning
- Demystifying Key Terminologies of AI
- AI Lifecycle Management
- AI Tools, Applications and Challenges
- Disciplines of AI
- Introduction to AI: Historical Perspective and Contributions
- Introduction to AI: Historical Perspective and Contributions
- Summary and Key Takeaways
- Exploratory Data Analysis (EDA) and Purposeful EDA
- Analytics and AI Essentials - Part 01
- Data Visualization and Storytelling
- Exploratory Data Analysis (EDA)
- Purposeful EDA - Patterns & Tools
- Data Story, Visualization and Guidelines
- Data Visualization & Storytelling: Examples
- Summary and Key Takeaways
- Introduction to Analytics
- Types of Analytics
- Analytics in Business: Cases and Examples
- Introduction to Analytics
- Analytics in Business: Cases and Examples
- Types of Analytics
- Future of Data & Key Takeaways
- Data as the New Currency
- Data Management
- Future of Data, Case Study and Key Takeaways
- Data: Dimensions, Democratization, Types & Examples
- Data Dimensions & Data Democratization
- Data Modelling and Trends in Data Management
- Data Modelling and Trends in Data Management
- Data Lifecycle Management
- Data Quality : Challenges and Effectives Approaches
- Data Quality and Lifecycle Management
- Data: Types & Examples
- Introduction to Data Management
- Introduction to Data Management
- Computing Paradigms : Summary & Key Takeaways
- Computing Paradigms: Summary & Key Takeaways
- Computing Paradigms : Cloud and 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
- Computing Paradigms : Introduction & Role of Edge Computing
- Architecture : Edge Computing & Platforms
- Edge Computing : Applications, Case Studies & Limitations
- Edge Computing: Architecture, Platforms and Case Studies
- 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
- 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
- DPLM Case Studies: Plant, Engineering, Energy, Management and Automation Solutions
- 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
- Blockchain Technology : Fundamentals, Types and Cryptocurrency
- 3D Printing: Applications in the Real World
- 3D Printing: Fundamentals, Types and Challenges
- Emerging Technologies: Future Trends and Advancements
- Blockchain Technology: Application and Challenges
- Blockchain Technology
- 3D Printing Technology
- Virtual Reality: Types, Applications & Challenges
- AR and VR Technologies : Principles, Components and Platforms
- Augmented Reality: Application & Challenges
- Augmented Reality (AR) and Virtual Reality (VR)
- Introduction: AR, VR, Blockchain and 3D Printing
- Introduction: AR, VR, Blockchain and 3D Printing
- ROBOTICS: Components, Programming and Applications
- DRONES: Applications, Benefits and Challenges
- ROBOTICS & DRONES
- 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
- Introduction to IoT, IIoT, Robotics and Digital Twins
- IoT & Industrial IoT : Application, Architecture, Platforms and Challenges
- IoT & Industrial IoT: CASE STUDIES
- Introduction to IoT, IIoT, Robotics & Digital Twin
- IoT and Industrial IoT
- Implementing Digital Transformation
- Module 01 - Summary and Conclusions
- Digital Technologies for Transformation
- Digital Technologies for Transformation: Cloud Computing & Big Data & Analytics
- 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
- Module 01 - Summary and Conclusion
- Digital Transformation: Embracing the Future
- Introduction to Digital Transformation & Key Drivers
- Introduction to Digital Transformation and Key Drivers
- Business Analysis Overview
- Six Sigma Statistical Process Control Basics
- Six Sigma Process Control Tools
- Six Sigma Root Cause Analysis and Waste Elimination
- Six Sigma Cycle-time Reduction and Kaizen Blitz
- Engage Learners
- Six Sigma Design of Experiments
- Six Sigma Hypothesis Tests for Variances and Proportions
- Six Sigma Hypothesis Testing Fundamentals
- Six Sigma Exploratory Data Analysis
- Six Sigma Process and Performance Capability Measurement
- Six Sigma Control Charts
- 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
- Six Sigma Voice of the Customer
- FMEA and Design for Six Sigma
- Identifying Six Sigma Projects
- Lean Principles in Six Sigma Projects
- Organizational Goals and Six Sigma
- Six Sigma Control Tools and Documentation
- Using AI to Improve the Employee Experience
- Six Sigma Techniques for Improvement
- Data Analysis and Root Cause Analysis in Six Sigma
- Six Sigma Correlation, Regression, and Hypothesis Testing
- Six Sigma Measurement System Analysis
- Classifying and Collecting Data
- Lean Tools and FMEA
- Basic Six Sigma Statistics
- Six Sigma: Project Management Basics
- Six Sigma: Identifying Projects
- Basic Budgeting for Non-financial Professionals
- Six Sigma: Quality Tools
- Six Sigma: Team Basics, Roles, and Responsibilities
- Six Sigma: Metrics
- Developing a Plan to Further Your Career
- Self-improvement for Lifelong Success
- Optimizing Your Workplace Well-being
- Establishing AI Guardrails and Governance
- Writing Effective E-mails and Instant Messages
- Recognizing Hallucinations, Inaccuracies, and Bias in AI
- Navigating AI Ethical Challenges and Risks
- Reimagining the Customer Experience with Generative AI
- Reimagining the Sales Process with Generative AI
- Unlocking Business Solutions with AI-Powered Analytics
- Leading in the Age of Generative AI
- Encouraging Innovation and Experimentation with AI
- Leading through the AI Disruption with Empathy
- Embracing Risk and Learning from Setbacks with AI Projects
- Leveraging AI as a Team Member
- Fostering a Growth Mindset in the Age of AI
- Leveraging Analytical and Critical Thinking to Implement AI
- Generative AI and Its Impact to Everyday Business
- Harnessing the Disruption of Generative AI
- Software Testing Foundation 2018: Testing Techniques
- Software Testing Foundation 2018: Test Management
- Software Testing Foundation 2018: Risk & Defect Management
- Software Testing Foundation 2018: Test Tool Support
- Software Testing Foundation 2018: Test Monitoring & Control
- Software Testing Foundation 2018: Testing & the Software Development Lifecycle
- Software Testing Foundation 2018: Test Process Fundamentals
- Software Testing Foundation 2018: Static Testing
- Business Execution: How Things Get Done
- Software Testing Foundation 2018: Fundamentals
- Planning and Managing the Project Budget (2021 Update)
- Taking Final Steps to Bring a Project to its Close
- Techniques & Tools
- Testing Approaches
- Agile Methodologies
- Software Testing Foundation 2018: Test Types & Maintenance Testing
- Software Testing Foundation 2018: Black-box & White-box Testing Techniques
- Evaluating Systems with Data Modeling
- Platform Fundamentals
- Certified Information Systems Auditor (CISA) 2019: Data Privacy & Risk
- Building a Digital Market via Websites and Email
- Six Sigma and Lean: Foundations and Principles
- Sahil .'s Transcript
- Sahil .'s Wallet
- About Accredible