Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Raymond Cruzin's Credentials
- Raymond Cruzin's Wallet
- Introduction to the OpenAI API
- AWS Certified Machine Learning: Jupyter Notebook & Python
- AWS Certified Machine Learning: Data Pipelines & Workflows
- AWS Certified Machine Learning: Data Movement
- AWS Certified Machine Learning: Data Engineering, Machine Learning, & AWS
- AWS Certified Machine Learning: Amazon S3 Simple Storage Service
- Azure Data Scientist Associate: Machine Learning Services
- Azure Data Scientist Associate: Machine Learning
- AWS Certified Machine Learning: AI/ML Services
- AWS Certified Machine Learning: Machine Learning in SageMaker
- AWS Solutions Architect Professional 2022: General Architecture
- AWS Solutions Architect Professional 2022: AWS Developer Services
- AWS Solutions Architect Associate 2022: Architecture & Tools
- Software Project Lead
- Final Exam: Software PM Lead
- Web Applications with Django: Introducing the Django Web Framework
- Applying Scrum Development Practices
- Scrum Practices: Managing the Scrum Project
- Lean in Scrum: Lean Development Practices
- Transitioning to Scrum
- Transition to Scrum: Agile Foundation to Scrum
- Build Apps Using React: Introducing React for Web Applications
- Deep Learning for NLP: Introduction
- Text Mining and Analytics: Hotel Reviews Sentiment Analysis
- Text Mining and Analytics: Natural Language Processing Libraries
- Track 1: Getting Started with Natural Language Processing
- NLP Case Studies: Developing an AI Chatbot
- NLP Case Studies: Article Text Comprehension & Question Answering
- Text Mining and Analytics: Machine Learning for Natural Language Processing
- Text Mining and Analytics: Pattern Matching & Information Extraction
- Natural Language Processing: Linguistic Features Using NLTK & spaCy
- Natural Language Processing: Getting Started with NLP
- Track 4: Cloud Computing and MLOps in AI/ML
- AI and ML for Decision-makers
- Final Exam: AI and ML for Decision-makers
- Cloud Computing and MLOps: Introduction to MLOps
- Cloud Computing and MLOps: ML Pipelines
- Cloud Computing and MLOps: Cloud and AI
- Visualizing Data for Impact: Visual Design Theory
- Visualizing Data for Impact: Data Storytelling
- Visualizing Data for Impact: Analyzing Misleading Visualizations
- Track 3: Visualizing Data for Impact
- Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
- Developing an AI/ML Data Strategy: Building an AI-powered Workforce
- Developing an AI/ML Data Strategy: Data Analytics & Data Ethics
- Visualizing Data for Impact: Introduction to Data Visualization
- Track 2: Developing an AI/ML Data Strategy
- Python Basics
- Fundamentals of AI & ML: Introduction to Artificial Intelligence
- Track 1: Fundamentals of AI and ML
- Fundamentals of AI & ML: Foundational Data Science Methods
- Fundamentals of AI & ML: Advanced Data Science Methods
- Working with Amazon DynamoDB: Interacting with DynamoDB
- Working with Amazon DynamoDB: Getting the Best Out of DynamoDB
- Working with Amazon DynamoDB: Getting Started with DynamoDB
- Working with Amazon DynamoDB: Advanced Operations in DynamoDB
- An Overview of Cloud Databases
- Track 1: Cloud Databases
- Track 1: Dynamo DB Database
- Working with DynamoDB
- Final Exam: Working with Amazon DynamoDB
- Data Architecture Getting Started
- Data Science Overview
- Raymond Cruzin's Transcript
- Raymond Cruzin's Wallet
- About Accredible