Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Amber Weir's Credentials
- Amber Weir's Wallet
- Voice User Interfaces
- Designing with Flexibility & Efficiency in Mind
- Exploring Chatbots
- Introduction To UI/UX
- AWS Practitioner Bootcamp October 2024: Session 1 Replay
- AWS Practitioner Bootcamp October 2024: Session 2 Replay
- AWS Certified Machine Learning: AI/ML Services
- AWS Certified Machine Learning: Model Training & Evaluation
- AWS Certified Machine Learning: AI Services & SageMaker Applications
- CompTIA A+ Core 1: RAM & Storage Solutions
- CompTIA A+ Core 1: Cable Types & Connectors
- CompTIA A+ Core 1: Wireless Networking & Services
- CompTIA A+ Core 1: Networking Concepts & Configurations
- CompTIA A+ Core 1: Networking Fundamentals
- CompTIA A+ Core 1: Mobile Device Accessories & Network Connectivity
- CompTIA A+ Core 1: Installing Hardware & Display Components
- AWS Certified Machine Learning: Data Preparation & SageMaker Security
- AWS Certified Machine Learning: Advanced SageMaker Functionality
- AWS Certified Machine Learning: Problem Formulation & Data Collection
- AWS Certified Machine Learning: ML Algorithms in SageMaker
- AWS Certified Machine Learning: Feature Engineering Techniques
- AWS Certified Machine Learning: Data Analysis Fundamentals
- AWS Certified Machine Learning: Athena, QuickSight, & EMR
- AWS Certified Machine Learning: Feature Engineering Overview
- AWS Certified Machine Learning: Problem Framing & Algorithm Selection
- AWS Certified Machine Learning: Data Pipelines & Workflows
- AWS Certified Machine Learning: Jupyter Notebook & Python
- AWS Certified Machine Learning: Data Movement
- AWS Certified Machine Learning: Amazon S3 Simple Storage Service
- AWS Certified Machine Learning: Data Engineering, Machine Learning, & AWS
- AWS Certified Machine Learning: Machine Learning in SageMaker
- Reinforcement Learning: Essentials
- Introduction to Generative AI on Azure
- Research Topics in ML & DL
- Fundamentals of AI & ML: Advanced Data Science Methods
- Statistical Analysis and Modeling in R: Working with Probability Distributions
- Statistical Analysis and Modeling in R: Understanding & Interpreting Statistical Tests
- Datasets in R: Selecting, Filtering, Ordering, & Grouping Data
- Datasets in R: Joining & Visualizing Data
- Datasets in R: Transforming Data
- Datasets in R: Loading & Saving Data
- Using R Programming Structures: Object Systems
- R Programming for Beginners: Understanding Data Frames, Factors, & Strings
- Using R Programming Structures: Leveraging R with Control Flow & Looping
- Using R Programming Structures: Functions & Environments
- R Programming for Beginners: Leveraging R with Matrices, Arrays, & Lists
- R Programming for Beginners: Exploring R Vectors
- R Programming for Beginners: Getting Started
- Neural Networks
- Convolutional and Recurrent Neural Networks
- Applying Machine Learning
- Supervised Learning Models
- Artificial Intelligence: Types of Artificial Intelligence
- Ethical, Privacy, & Intellectual Property Considerations for ChatGPT
- Generative AI Foundations: Ethical & Responsible Use of AI in IT
- Introduction to Machine Learning & Supervised Learning
- Navigating AI Ethical Challenges and Risks
- Be Liked and Respected in the Workplace
- Communicating with Confidence
- Amber Weir's Transcript
- Amber Weir's Wallet
- About Accredible