Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Marianne Nicole Zulueta's Credentials
- Marianne Nicole Zulueta's Wallet
- CGI Annual Tour F2025
- Python Design Patterns: Working with Behavioral Design Patterns
- AWS Lambdas in Python: Serverless Compute in Python with AWS Lambda
- Python AI Development: Introduction
- Automation Testing for Python
- Python Classes & Inheritance: Working with Inheritance in Python
- Python Classes & Inheritance: Advanced Functionality Using Python Classes
- AWS Lambdas in Python: Using AWS Lambda with Containers, SES, SNS, & DynamoDB
- Excel with Python: Working with Excel Spreadsheets from Python
- Python Classes & Inheritance: Introduction
- Python Classes & Inheritance: Getting Started with Classes in Python
- Excel with Python: Constructing Data Visualizations
- Excel with Python: Performing Advanced Operations
- Data Mining and Decision Making: Data Preparation & Predictive Analytics
- Data Mining and Decision Making: Data Mining for Answering Business Questions
- Math for Data Science & Machine Learning
- Data Driven Organizations
- Data Architecture Deep Dive - Microservices & Serverless Computing
- Data Sources: Integration from the Edge
- Raw Data to Insights: Data Management & Decision Making
- Harnessing Data Volume & Velocity: Turning Big Data into Smart Data
- Data Mining and Decision Making: Modern Data Science Lifecycle
- Applied Data Analysis
- Data Architecture Deep Dive - Design & Implementation
- Data Sources: Implementing Edge Data on the Cloud
- New Developments in Python
- Streaming Data Architectures: An Introduction to Streaming Data in Spark
- Data Science Tools
- The Four Vs of Data
- Data Exploration
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Data Filtering
- Data Analysis Concepts
- Streaming Data Architectures: Processing Streaming Data with Spark
- Data Integration
- Data Transformation
- Clustering, Errors, & Validation
- Estimates & Measures
- Data Communication & Visualization
- Python - Pandas Advanced Features
- Python - Using Pandas for Visualizations and Time-Series Data
- Python - Introduction to NumPy for Multi-dimensional Data
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Python for Data Science: Basic Data Visualization Using Seaborn
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Data Wrangling in Python Bootcamp: Session 1 Replay
- Data Wrangling in Python Bootcamp: Session 4 Replay
- Data Wrangling in Python Bootcamp: Session 2 Replay
- Linear Algebra & Probability: Advanced Linear Algebra
- ML/DL Best Practices: Building Pipelines with Applied Rules
- Enterprise Architecture: Architectural Principles & Patterns
- Python - Using Pandas to Work with Series & DataFrames
- Enterprise Services: Machine Learning Implementation on Microsoft Azure
- Data Gathering
- Refactoring ML/DL Algorithms: Techniques & Principles
- Enterprise Services: Machine Learning Implementation on Google Cloud Platform
- Enterprise Services: Enterprise Machine Learning with AWS
- ML/DL in the Enterprise: Machine Learning Modeling, Development, & Deployment
- ML/DL in the Enterprise: Pipelines & Infrastructure
- Advanced Reinforcement Learning: Principles
- Implementing Deep Learning: Practical Deep Learning Using Frameworks & Tools
- Applied Deep Learning: Unsupervised Data
- Refactoring ML/DL Algorithms: Refactor Machine Learning Algorithms
- Advanced Reinforcement Learning: Implementation
- Applied Deep Learning: Generative Adversarial Networks and Q-Learning
- Enterprise Architecture: Design Architecture for Machine Learning Applications
- ML/DL Best Practices: Machine Learning Workflow Best Practices
- Linear Algebra and Probability: Fundamentals of Linear Algebra
- NLP for ML with Python: NLP Using Python & NLTK
- Implementing Deep Learning: Optimized Deep Learning Applications
- ML Algorithms: Multivariate Calculation & Algorithms
- ML Algorithms: Machine Learning Implementation Using Calculus & Probability
- NLP for ML with Python: Advanced NLP Using spaCy & Scikit-learn
- Machine Learning & Deep Learning Tools in the Cloud
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Technology Landscape & Tools for Data Management
- Model Management: Building Machine Learning Models & Pipelines
- Model Management: Building & Deploying Machine Learning Models in Production
- Automation Design & Robotics
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Machine & Deep Learning Algorithms: Regression & Clustering
- Machine & Deep Learning Algorithms: Introduction
- Getting Started with Python: Introduction
- Conditional Statements & Loops: While Loops in Python
- Conditional Statements & Loops: If-else Control Structures in Python
- Conditional Statements & Loops: The Basics of for Loops in Python
- OWASP: Top 10 & Web Applications
- The Language of DevOps: DevOps Tools & Processes
- K-Nearest Neighbor (k-NN) & Artificial Neural Networks
- Fundamentals of AI & ML: Foundational Data Science Methods
- Planning AI Implementation
- Uncertainty
- Introducing Natural Language Processing
- Generative AI APIs for Practical Applications: An Introduction
- Machine Learning & Data Analytics
- OWASP: Web Application Security
- Windows 10: Active Directory Management
- Windows Server 2022: Active Directory Basics
- Windows Server 2022: Advanced Active Directory
- Generative AI and Its Impact to Everyday Business
- Establishing AI Guardrails and Governance
- CGI: Generative AI Foundations
- Agile Development Bootcamp: Session 3 Replay
- Agile Development Bootcamp: Session 1 Replay
- Agile Development Bootcamp: Session 2 Replay
- Secure Programmer: Resiliency Coding
- Secure Programmer: Encryption
- Secure Programmer: Attacks
- Configuring Enterprise-level Security
- Infrastructure Security
- Mobile Security Threat Mitigation
- Containers & Wrappers
- Secure Programmer: Security Concepts
- Secure Programmer: Vulnerabilities
- Mobile Security Technologies
- Mobile Device Security & Handling
- Mobile Security Threats
- OWASP: Top 10 Item A10
- OWASP: Top 10 Items A6, A5, & A4
- OWASP: Top 10 Items A9, A8, & A7
- OWASP: Top 10 Items A3, A2, & A1
- Introduction to Secure Programming
- Leadership Insights on Leading Innovation
- Leading Innovation
- Marianne Nicole Zulueta's Transcript
- Marianne Nicole Zulueta's Wallet
- About Accredible