Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Utkarsh Dwivedi's Credentials
- Utkarsh Dwivedi's Wallet
- Spring Boot Microservices: Getting Started
- The Spring Web MVC Framework: Getting Started
- The Spring Web MVC Framework: Handling Requests & Errors
- Math for Data Science & Machine Learning
- Data Science Statistics: Applied Inferential Statistics
- AI in Industry
- Using Robots and RPA in the Workplace
- Implementing Robotic Process Automation
- Azure IoT Hub
- Cloud Implementation Using Azure IoT
- Programming in the IoT Arena
- Data Mining, Data Distributions, & Hypothesis Testing
- Predictive Modeling: Predictive Analytics & Exploratory Data Analysis
- ReactJS & Grunt
- FSD Front-End Development: UI Development with ReactJS
- Principles of IoT & Python Basics
- REST API with Java: Java APIs with JSON, Maven, & Spring
- Java Beans, Logging, Annotations, & Method Chaining
- Back-end Apps: SOAP Web Services with JAX-WS
- IT Infrastructure Automation: Automation & Scalability
- Scripting Automation: Adopting an Automation Mindset
- Scripting Automation: Major Automation Technologies for Support Engineers
- The Spring Web MVC Framework: Working With Forms & Files
- FSD Development: Java Spring Framework
- Professional in Human Resources: HR Organization
- FSD Getting Started: Introduction to Full Stack Development
- Full Stack Developer CI/CD
- Data Science Fundamentals
- Python AI Development: Introduction
- DevOps for Data Scientists: Data Science DevOps
- DevOps for Data Scientists: Containers for Data Science
- Machine Learning Implementation
- AWS Cloud Practitioner 2019: Technology Support Resources
- Implementing Transformational HR
- Professional in Human Resources: Performance Management
- Web Development Concepts
- Full Stack Development: Web Communications Layer
- Working with Forms
- HTML5 with JavaScript & CSS3: Adaptive AI, Graphics, & Animation
- API Development: Web API Security
- Using the Bash Shell
- Azure Developer: Relational Database Solutions
- Shell Scripting
- Data Warehouse Essential: Concepts
- Database Design Fundamentals
- Relational Database Management System (RDBMS)
- API Development: REST API Semantics
- Java Persistence API: Configuring Fields & Performing CRUD Operations
- Java Persistence API: Embedding Collections & Managing Cascade Operations
- Spring Boot Microservices: Building RESTful API Services
- Machine Learning & Data Analytics
- Azure Fundamentals: Big Data Analytics
- Java REST & GridFS
- The Spring Web MVC Framework: Building Web Applications & REST APIs
- REST Web Services & Beans
- API Development: REST & SOAP Web Services
- API Design: RESTful APIs
- Java Spring Cloud: SOAP & Development of Microservices
- REST API: Exploring the Basic Features
- REST API with Java: REST APIs with POSTMAN & CRUD
- REST API: Architecture & Databases Deployment
- REST API with Java: Spring Boot with Java
- REST API with Java: Spring JPA & Apache Derby
- Flexible Images & Media Queries
- Bootstrap & Dashboards
- Managing CSS with Scripts
- Logstash for Data Ingestion
- Data Analysis and Root Cause Analysis in Six Sigma
- Convo Nets for Visual Recognition: Filters and Feature Mapping in CNN
- Java SE 11 Programmer II: Database Applications
- Exploring Customer Journey Mapping
- Ethereum Smart Contracts with Solidity: Data & Control Structures in Solidity
- Applying Value Stream Mapping in Lean Business
- Mapping Data
- Customized Mapping in Java Hibernate
- Material & Universal Components
- Advanced Querying in Java Hibernate
- Creating an Application
- Debugging in Java Hibernate
- Java Hibernate: Queries & Oracle Manipulations
- Java Hibernate: Working with Hibernate
- Java Hibernate: Getting Started
- Testing & TDD
- Material & Elements
- Reactive Programming
- Libraries
- Introduction
- Machine & Deep Learning Algorithms: Data Preperation in Pandas ML
- Machine & Deep Learning Algorithms: Regression & Clustering
- Getting Started with Python: Introduction
- SOLID & GRASP
- Clustering Techniques
- A/B Testing, Bayesian Networks, & Support Vector Machine
- Text Mining & Social Network Analysis
- K-Nearest Neighbor (k-NN) & Artificial Neural Networks
- Utkarsh Dwivedi's Transcript
- Utkarsh Dwivedi's Wallet
- About Accredible