Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Ibrahim Khan's Credentials
- Ibrahim Khan's Wallet
- Middle/Back-end Developer
- Enterprise Developer to Full Stack Developer
- Full Stack Developer
- FSD Secure Database Development
- Advanced Database Security Development
- Final Exam: Full Stack Developer
- MERN: Advanced MERN Development
- Data Infrastructure: Databases in FSD Development
- Final Exam: Middle/Back-end Developer
- SQL in FSD Development
- NoSQL for FSD Development
- MEAN Stack Development
- Industry X.0: Continuous Transformation
- FSD Development: Java Spring Framework
- Full Stack End-to-End Testing
- Full Stack Developer CI/CD
- RESTful Services for FSD: Building & Testing RESTful Services
- FSD Development with Python: API Development in Flask
- Deploying FSD Projects: Deployment Overview
- Front-end Developer
- Final Exam: Front-end Developer
- FSD Front-End Development: Frameworks
- FSD Front-End Development: Writing Code with jQuery
- FSD Front-End Development: UI Development with ReactJS
- FSD Front-end Development: Server Tools
- FSD Front-end Development: Testing Tools
- FSD Front-end Development: Build Tools
- ML Programmer to ML Architect
- ML Architect
- ML/DL Best Practices: Building Pipelines with Applied Rules
- Advanced Reinforcement Learning: Principles
- Applied Deep Learning: Unsupervised Data
- Implementing Deep Learning: Optimized Deep Learning Applications
- Advanced Reinforcement Learning: Implementation
- Applied Deep Learning: Generative Adversarial Networks and Q-Learning
- ML/DL Best Practices: Machine Learning Workflow Best Practices
- Research Topics in ML & DL
- Final Exam: ML Architect
- FSD Front-end Development: Features of HTML5 & CSS3
- FSD Front-end Development: Advanced CSS Browser Features
- FSD Front-End Development: Using JavaScript Functions
- Enterprise Developer
- Final Exam: Enterprise Developer - FSD
- Deep Learning with Keras
- FSD Programming Languages: FSD Back End & Miscellaneous Tools
- Implementing Deep Learning: Practical Deep Learning Using Frameworks & Tools
- ML Engineer
- Applied Predictive Modeling
- Architecting Balance: Designing Hybrid Cloud Solutions
- FSD Programming Languages: FSD Front-end Primer
- Refactoring ML/DL Algorithms: Refactor Machine Learning Algorithms
- Refactoring ML/DL Algorithms: Techniques & Principles
- Enterprise Architecture: Design Architecture for Machine Learning Applications
- Architecting Balance: Hybrid Cloud Implementation with AWS & Azure
- Final Exam: ML Engineer
- ML/DL in the Enterprise: Machine Learning Modeling, Development, & Deployment
- ML/DL in the Enterprise: Pipelines & Infrastructure
- Enterprise Architecture: Architectural Principles & Patterns
- Enterprise Services: Machine Learning Implementation on Microsoft Azure
- The MERN Stack & FSD
- Enterprise Services: Machine Learning Implementation on Google Cloud Platform
- Enterprise Services: Enterprise Machine Learning with AWS
- DL Programmer
- Predictive Modeling: Implementing Predictive Models Using Visualizations
- Fundamentals of Sequence Model: Artificial Neural Network & Sequence Modeling
- Build & Train RNNs: Implementing Recurrent Neural Networks
- ML Algorithms: Machine Learning Implementation Using Calculus & Probability
- Automation Design & Robotics
- Applying Predictive Analytics
- Planning AI Implementation
- Predictive Modeling: Predictive Analytics & Exploratory Data Analysis
- Convo Nets for Visual Recognition: Filters and Feature Mapping in CNN
- ML Algorithms: Multivariate Calculation & Algorithms
- MEAN for FSD Development: Introduction to the MEAN Stack
- Build & Train RNNs: Neural Network Components
- Convo Nets for Visual Recognition: Computer Vision & CNN Architectures
- Final Exam: DL Programmer
- Convolutional Neural Networks: Fundamentals
- ConvNets: Introduction to Convolutional Neural Networks
- Convolutional Neural Networks: Implementing & Training
- ConvNets: Working with Convolutional Neural Networks
- Improving Neural Networks: Data Scaling & Regularization
- Improving Neural Networks: Loss Function & Optimization
- Training Neural Networks: Implementing the Learning Process
- Improving Neural Networks: Neural Network Performance Management
- Training Neural Networks: Advanced Learning Algorithms
- Getting Started with Neural Networks: Biological & Artificial Neural Networks
- Getting Started with Neural Networks: Perceptrons & Neural Network Algorithms
- Building Neural Networks: Artificial Neural Networks Using Frameworks
- Building Neural Networks: Development Principles
- ML Programmer
- Math for Data Science & Machine Learning
- Linear Models & Gradient Descent: Managing Linear Models
- Linear Models & Gradient Descent: Gradient Descent and Regularization
- Building ML Training Sets: Introduction
- Building ML Training Sets: Preprocessing Datasets for Classification
- Building ML Training Sets: Preprocessing Datasets for Linear Regression
- Final Exam: ML Programmer
- Reinforcement Learning: Essentials
- NLP for ML with Python: NLP Using Python & NLTK
- NLP for ML with Python: Advanced NLP Using spaCy & Scikit-learn
- Model Management: Building & Deploying Machine Learning Models in Production
- Bayesian Methods: Bayesian Concepts & Core Components
- Implementing Bayesian Model and Computation with PyMC
- Reinforcement Learning: Tools & Frameworks
- Bayesian Methods: Advanced Bayesian Computation Model
- Linear Regression Models: Introduction to Logistic Regression
- Model Management: Building Machine Learning Models & Pipelines
- Simplifying Regression and Classification with Estimators
- Computational Theory: Language Principle & Finite Automata Theory
- Computational Theory: Using Turing, Transducers, & Complexity Classes
- Linear Regression Models: Multiple & Parsimonious
- Linear Algebra & Probability: Advanced Linear Algebra
- Linear Algebra and Probability: Fundamentals of Linear Algebra
- Linear Regression Models: Introduction
- Linear Regression Models: Building Models with Scikit Learn & Keras
- Secure Full Stack Developer Programming
- AWS AI Practitioner: Practical Use Cases for AI
- AWS AI Practitioner: Basic AI Concepts and Terminologies
- FSD Software Testing: Full Stack Developer Software Testing
- FSD Getting Started: Introduction to Full Stack Development
- Reinforcement Learning
- Future of Data & Key Takeaways
- Data Management
- Future of Data, Case Study and Key Takeaways
- Data as the New Currency
- Digital Project Management
- Digital Project Management: Summary & Key Takeaways
- Digital Project Management: Summary & Key Takeaways
- Computing Paradigms : Summary & Key Takeaways
- Computing Paradigms: Summary & Key Takeaways
- Computing Paradigms : Cloud and Edge Computing
- 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
- DEI and Human Rights
- Importance of Hybrid Methodology in Digital Project Management
- Waterfall Methodology: Principles, Benefits and Case Studies
- Adani Case Studies: Stage Gated Agile Process Framework
- Waterfall Digital Project Management Methodology
- Hybrid Digital Project Management Methodology
- DIGITAL TECHNOLOGIES: Future Trends and Key Takeaways
- Digital Technologies: IoT, IIoT, Robotics and Digital Twin
- DIGITAL TECHNOLOGIES : Future Trends and Key Takeaways
- Digital Technologies: Key Takeaways and Conclusion
- Digital Technologies: Future Trends and Key Takeaways
- Digital Technologies-Part 2: AR, VR, Blockchain and 3D Printing
- Digital Platforms and Lifecycle Management
- DPLM Case Studies: Data Protection, Digital Payments, and Content Streaming
- DPLM Case Studies: Plant, Engineering, Energy, Management and Automation Solutions
- DPLM: Key Takeaways and Future Trends
- DPLM: Key Takeaway and Future Trends
- Case Studies: Digital Platforms & Lifecycle Management
- Cloud Computing : Key Takeaways & Future
- Cloud Service 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
- Introduction to Data Management
- Introduction to Data Management
- Data: Dimensions, Democratization, Types & Examples
- Data: Types & Examples
- Data Dimensions & Data Democratization
- Digital Project Management (DPM): Characteristics, Roles, Challenges and Risks
- Digital Project Management: Characteristics, Roles, Challenges and Risks
- DPM Methodologies and Importance of Agile
- Agile Digital Project Management Methodology
- Agile Methodologies: Principles, Frameworks and Case Studies
- Introduction to Digital Project Management (DPM)
- 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 Twin: CASE STUDIES
- DIGITAL TWIN
- DIGITAL TWIN: Applications, Ecosystem, Advantages and Challenges
- Blockchain Technology : Fundamentals, Types and Cryptocurrency
- 3D Printing: Applications in the Real World
- 3D Printing: Fundamentals, Types and Challenges
- Virtual Reality: Types, Applications & Challenges
- Emerging Technologies: Future Trends and Advancements
- Blockchain Technology: Application and Challenges
- Augmented Reality (AR) and Virtual Reality (VR)
- Blockchain Technology
- 3D Printing Technology
- 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
- Cloud Computing Fundamentals
- Introduction & Cloud Computing Fundamentals
- Cloud Deployment Models
- Summary and Key Takeaways
- Analytics and AI Essentials - Part 01
- Summary and Key Takeaways
- Design Thinking: Summary and Key Takeaways
- Design Thinking
- Design Thinking: Summary & Key Takeaways
- 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
- Introduction to IoT, IIoT, Robotics and Digital Twins
- IoT & Industrial IoT : Application, Architecture, Platforms and Challenges
- Introduction to IoT, IIoT, Robotics & Digital Twin
- AR and VR Technologies : Principles, Components and Platforms
- Augmented Reality: Application & Challenges
- Introduction: AR, VR, Blockchain and 3D Printing
- Introduction: AR, VR, Blockchain and 3D Printing
- Data Visualization and Storytelling
- Data Story, Visualization and Guidelines
- Data Visualization & Storytelling: Examples
- Analytics & AI Essentials: Conclusion and Summary
- Analytics and AI Essentials - Part 02
- Analytics & AI Essentials: Conclusion and Summary
- 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
- 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 Business Model Innovation
- Introduction to 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
- AI Lifecycle Management
- AI Journey: Progression and Potential Challenges
- AI Ethics & Biases
- AI Tools and Industrial Applications
- AI Lifecycle Management
- AI Tools, Applications and Challenges
- AI : Ethics & Biases
- Introduction to Design Thinking
- Introduction to Design Thinking
- Module 01 - Summary and Conclusions
- Module 01 - Summary and Conclusion
- Digital Transformation: Embracing the Future
- Exploratory Data Analysis (EDA) and Purposeful EDA
- Introduction to Analytics
- Types of Analytics
- Analytics in Business: Cases and Examples
- Introduction to Analytics
- Analytics in Business: Cases and Examples
- Types of Analytics
- Exploratory Data Analysis (EDA)
- Purposeful EDA - Patterns & Tools
- Disciplines of AI
- Introduction to AI: Historical Perspective and Contributions
- Types of Machine Learning
- Demystifying Key Terminologies of AI
- Introduction to AI: Historical Perspective and Contributions
- Disciplines of AI & Types of Machine Learning
- Demystifying Key Terminologies of AI
- Implementing Digital Transformation
- Digital Technologies for Transformation
- Digital Technologies for Transformation: IoT, Augmented Reality & Virtual Reality
- Challenges in 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
- Strategy for Implementing Digital Transformation
- Introduction to Digital Transformation & Key Drivers
- Introduction to Digital Transformation and Key Drivers
- Digital Technologies for Transformation: Cloud Computing & Big Data & Analytics
- Working with tables in Excel 365
- Exploring Data Visualization
- Ten common tools in Excel 365
- Finding and grouping data in Excel 365
- Finding and analyzing data with formulas in Excel 365
- Creating advanced charts in Excel 365
- Customizing charts in Excel 365
- Creating PivotTables and PivotCharts in Excel 365
- Manipulating PivotTable data in Excel 365
- Data Loading & Visualization in Power BI: Getting Started
- Getting started in Outlook 365
- GET Development Journey at Adani: 2024-25
- Productivity Tools Module
- Getting started with charts in Excel 365
- Formatting cells and ranges in Excel 365
- Performing data calculations using formulas in Excel 365
- Setting your work preferences in Excel 365
- Customizing text & number formats in Excel 365
- Filtering and sorting data in Excel 365
- Financial Statement Analysis for Non-financial Professionals
- Scope, Schedule, & Cost Planning
- Functional Orientation Module
- Becoming a Successful Collaborator
- Implementing a Procurement Strategy (2021 Update)
- Basic Budgeting for Non-financial Professionals
- Six Sigma and Lean: Foundations and Principles
- Creating a Project Schedule and Budget
- Defining a Project Scope and Team
- Documents & Terminology
- Writing Effective E-mails and Instant Messages
- Basic Six Sigma Statistics
- Building Trust with Business Ethics
- Receiving Feedback with an Open Mind
- Building Rapport through Strong Collaboration
- Soft and Power Skills Development Module
- Saving Time by Setting Goals
- Sharpening Your Focus to Stay on Track
- Managing Your Time So It Doesn’t Manage You
- Developing Personal Accountability
- Using Business Etiquette to Increase Your Professionalism
- Harnessing the Power of the Written Word
- Conveying Your Message without Words
- Expanding Your Communication Skill Set
- Enhancing Communication through Listening
- Organizational Mandated Module
- Ibrahim Khan's Transcript
- Ibrahim Khan's Wallet
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