Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Niranjan Dungahu's Credentials
- Niranjan Dungahu's Wallet
- Enhancing Communication through Listening
- Effective Team Communication
- Becoming a Continuous Learner
- Unit Testing with Mocks: Creating Mocks & Verifying Behavior
- Unit Testing with Mocks: Mocking Exceptions & Using Spies
- Spring Framework: The Fundamentals of Dependency Injection
- Unit Testing with Mocks: Getting Started with Mockito
- Working with Spring Data JPA: The Fundamentals of Spring Data JPA
- Working with Spring Data JPA: Derived Query Methods
- REST API with Java: REST APIs with POSTMAN & CRUD
- REST API with Java: Spring Boot with Java
- REST API with Java: Java APIs with JSON, Maven, & Spring
- Working with Spring Data JPA: Custom Queries
- Spring Framework: Configuring Beans with Autowiring
- Google Generative AI APIs: Advanced Features of Bard & PaLM
- Track 3: Exploring the Capabilities of Google Generative AI APIs
- Leveraging Generative AI APIs
- Final Exam: Leveraging Generative AI APIs
- Text, Image, & Audio Generation with OpenAI
- Generative AI APIs for Practical Applications: An Introduction
- Introduction to the OpenAI API
- Code, Relatedness, & Fine-tuning with OpenAI
- Google Generative AI APIs: Introduction to Google Bard
- Getting Started with Prompt Engineering
- Exploring the OpenAI Playground
- Exploring Prompt Engineering Techniques
- Case Studies in Prompt Engineering
- Google Generative AI APIs: Bard Fundamentals
- Google Generative AI APIs: Bard & the PaLM API Fundamentals
- Track 1: Fundamentals of Generative AI APIs for Practical Applications
- Track 2: Harnessing OpenAI APIs for Powerful Application Solutions
- Track 1: Prompt Engineering with Generative AI Tools
- Prompt Engineering with Generative AI Tools
- Track 4: NLP Case Studies
- Natural Language Processing
- Advanced NLP: Language Translation Using Transformer Model
- Advanced NLP: Introduction to BERT
- NLP Case Studies: News Scraping Translation & Summarization
- Advanced NLP: Introduction to GPT
- Advanced NLP: Introduction to Transformer Models
- NLP Case Studies: Article Text Comprehension & Question Answering
- Track 3: Advanced NLP
- NLP Case Studies: Developing an AI Chatbot
- Deep Learning for NLP: Transfer Learning
- Deep Learning for NLP: GitHub Bug Prediction Analysis
- Track 2: Natural Language Processing with Deep Learning
- Deep Learning for NLP: Introduction
- Deep Learning for NLP: Neural Network Architectures
- Deep Learning for NLP: Memory-based Networks
- Text Mining and Analytics: Pattern Matching & Information Extraction
- Text Mining and Analytics: Hotel Reviews Sentiment Analysis
- Text Mining and Analytics: Machine Learning for Natural Language Processing
- Text Mining and Analytics: Natural Language Processing Libraries
- Track 1: Getting Started with Natural Language Processing
- Natural Language Processing: Linguistic Features Using NLTK & spaCy
- Natural Language Processing: Getting Started with NLP
- Python Apprentice
- Python Novice
- Python Novice to Pythonista
- Python Journeyman
- Pythonista
- Final Exam: Python Apprentice
- Final Exam: Pythonista
- Final Exam: Python Journeyman
- Final Exam: Python Novice
- Excel with Python: Working with Excel Spreadsheets from Python
- Python Design Patterns: Working with Creational Design Patterns
- Python Design Patterns: Principles of Good Design
- Introduction to Using PyCharm IDE
- Python Design Patterns: Working with Structural Design Patterns
- Excel with Python: Constructing Data Visualizations
- Excel with Python: Performing Advanced Operations
- Python Design Patterns: Working with Behavioral Design Patterns
- Python Concurrent Programming: Multithreading in Python
- Python Concurrent Programming: Multiprocessing in Python
- Python Concurrent Programming: Asynchronous Executions in Python
- Python Concurrent Programming: Introduction to Concurrent Programming
- Python Requests: HTTP Requests with Python
- Python Unit Testing: Advanced Python Testing Using the unittest Framework
- Advanced Python Topics: Migrating from Python 2 to Python 3
- Python Classes & Inheritance: Getting Started with Classes in Python
- Flask in Python: An Introduction to Web Frameworks & Flask
- Data Structures & Algorithms in Python: Implementing Trees & Graphs
- Flask in Python: Building a Simple Web Site Using Flask
- Flask in Python: User Interactions in Flask Applications
- Advanced Python Topics: Modules & Virtual Environments
- Python Classes & Inheritance: Working with Inheritance in Python
- Functions in Python: Gaining a Deeper Understanding of Python Functions
- Python Unit Testing: An Introduction to Python's unittest Framework
- Flask in Python: User Authentication in a Flask Application
- Python Unit Testing: Testing Python Code Using pytest
- Python Unit Testing: Testing Python Code Using doctest
- Data Structures & Algorithms in Python: Trees & Graphs
- Python Classes & Inheritance: Advanced Functionality Using Python Classes
- Generative AI and Its Impact to Everyday Business
- Harnessing the Disruption of Generative AI
- Artificial Intelligence: Types of Artificial Intelligence
- Fundamentals of AI & ML: Introduction to Artificial Intelligence
- Fundamentals of AI & ML: Foundational Data Science Methods
- Fundamentals of AI & ML: Advanced Data Science Methods
- Java SE 11 Programmer II: Concurrency Management
- MySQL: Views, Indices, & Normal Forms
- Java SE 11 Programmer II: Lambda Operations & Streams
- Java SE 11 Programmer II: Implementing NIO.2
- Java SE 11 Programmer II: Java Migration & Service Management
- MySQL: Grouping & Aggregation Operations
- MySQL: Understanding & Implementing Joins
- MySQL: Querying Data
- MySQL: Creating & Updating Tables
- MySQL: Getting Started
- Unit Testing: Advanced Annotations in JUnit
- Unit Testing: An Introduction to the JUnit Framework
- Unit Testing: Assertions & Assumptions in JUnit
- Java SE 11 Programmer II: Streams & Pipelines
- Java SE 11 Programmer II: Functional Programming in Java
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Data Structures & Algorithms in Python: Implementing Data Structures
- Data Structures & Algorithms in Python: Fundamental Data Structures
- Advanced Python Topics: Exceptions & Command Line Arguments
- Socket Programming in Python: Advanced Topics
- Advanced Python Topics: File Operations in Python
- Data Structures & Algorithms in Python: Sorting Algorithms
- Data Structures & Algorithms in Python: Implementing Sorting Algorithms
- Socket Programming in Python: Introduction
- Java SE 11: Exception Handling
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Java SE 11 Programmer II: Generics & Collections in Java
- Java SE 11: Inheritance, Lists, Inference, & Lambda Expressions
- Java SE 11: Inheritance, Polymorphism, & Abstraction
- Complex Data Types in Python: Shallow & Deep Copies in Python
- Java SE 11: Flow Control & Debugging
- Python - Introduction to NumPy for Multi-dimensional Data
- Python Classes & Inheritance: Introduction
- Java SE 11: JDK Objects & Nested Loops
- Java SE 11: Encapsulation
- Java SE 11: Strings & Primitive Data Types
- Conditional Statements & Loops: Advanced Operations Using for Loops in Python
- Conditional Statements & Loops: While Loops in Python
- Functions in Python: Introduction
- Conditional Statements & Loops: If-else Control Structures in Python
- Conditional Statements & Loops: The Basics of for Loops in Python
- Functions in Python: Working with Advanced Features of Python Functions
- Getting Started with Python: Introduction
- Java SE 11: Introduction to Java SE & the NetBeans IDE
- Java SE 11: Objects & Classes
- Java SE 11: Variables & Operators
- Java SE 11: Expressions, Arrays, & Loops
- Data Analysis
- Provisioning and Modules
- DevOps for Engineering Leaders: Managing, Monitoring, & Securing the Pipeline
- Infrastructure
- Introduction to Automation
- Scaling Kubernetes Apps & Solutions: Scalable Kubernetes
- Scaling Kubernetes Apps & Solutions: Kubernetes Logging & Monitoring
- Kubernetes Networking: Advanced Networking
- Ansible for DevOps: Ansible Basics
- Kubernetes Pods, Deployments, Services, Namespaces, & DaemonSets
- Working with Containers: Introduction to Kubernetes
- Advanced Docker: Exploring Advanced Docker Principles & Practices
- Git & GitHub: Using GitHub for Source Code Management
- Git & GitHub: Working with Git Repositories
- Using Git for DevOps: Managing Conflict & Effectively Using Git Workflow
- Advanced Docker Skills: Debugging Docker Solutions
- Advanced Docker: Working with Services & Applications on Multiple Containers
- Docker Skills: Advanced Docker Orchestration
- Jenkins for DevOps: The Basics of Jenkins
- Working with Containers: Introduction to Docker
- Jenkins for DevOps: Practical Uses of Jenkins
- DevOps for Engineering Leaders: Building a Deployment Pipeline with Jenkins
- Git & GitHub: Introduction
- Resource Creation & Configuration
- DSC Resources
- DSC, Configurations, & Repositories
- Local Configuration Manager (LCM)
- DSC with Linux & JEA
- DSC & Azure
- Aliases, Providers, & Objects
- Desired State Configuration (DSC)
- Cmdlet Structure & Help
- Remote Management
- Syntax, Help, & Conditionals
- Configuration, Advanced Help, & Queries
- Output Formatting, Modules, & Customization
- Introduction to PowerShell 5.0
- Bash Scripting Flow Control & Data Types
- Automation Using Bash & Expect
- Bash Advanced Scripting & File I/O
- Introduction to Bash Scripting
- DevOps and Security: DevSecOps Principles
- DevOps Continuous Testing: Testing Approaches
- DevOps Security Considerations: DevSecOps Principles
- DevOps Smart Failure: Fail Fast & DevOps
- DevOps Agile Development: Agile Processes for DevOps
- Maturing DevOps Practice in the Enterprise
- Adopting the DevOps CI/CD Paradigm
- Niranjan Dungahu's Transcript
- Niranjan Dungahu's Wallet
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