Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Angelo Longo's Credentials
- Angelo Longo's Wallet
- Introduction to DeepSeek-R1 and Reasoning Models
- Microsoft Azure Fundamentals: Managing Azure Services
- Final Exam: Prompt Engineering Use Cases
- Prompt Engineering for Statistics and Machine Learning
- Track 1: Prompt Engineering for Statistics and Machine Learning
- Prompt Engineering for Machine Learning
- Running Statistical Tests Using Generative AI Tools
- Computing Descriptive Statistics Using Prompt Engineering
- Prompt Engineering for Hypothesis Testing
- QlikView: Creating Line Charts, Combo Charts, Pivot Tables, & Block Charts
- QlikView: Getting Started with QlikView for Data Visualization
- Track 1: Introduction to Generative AI and Prompt Engineering
- Track 1: OpenAI API
- Open AI GPT API
- Track 2: Prompt Engineering for Programmers
- Prompt Engineering for Programmers
- Prompt Engineering for Data: Combining & Visualizing Data Using Generative AI
- Prompt Engineering for Data: Leveraging Prompts for Filtering & Grouping Data
- Prompt Engineering for Data: Leveraging Prompts When Working with Data
- Prompt Engineering for Data: Basic Data Manipulation Using Generative AI
- Prompt Engineering for Data Science
- Track 1: Prompt Engineering for Data Science
- Final Exam: Prompt Engineering for Data Science
- AWS Cloud Practitioner
- AWS Cloud Practitioner
- AWS Cloud Practitioner 2023: AWS Storage Services
- AWS Cloud Practitioner 2023: AWS Database Services
- AWS Cloud Practitioner 2023: AWS Network Services
- AWS Cloud Practitioner 2023: ML, AI, & Data Analytics
- AWS Cloud Practitioner 2023: AWS Developer Services & Tools
- AWS Cloud Practitioner 2023: Pricing, Billing, Budgeting, & Cost Management
- AWS Cloud Practitioner 2023: Technical & Support Resources at AWS
- Microsoft Azure Fundamentals
- Azure Fundamentals
- Microsoft Azure Fundamentals: Azure Software Development Services
- Microsoft Azure Fundamentals: Monitoring Azure Services
- Microsoft Azure Fundamentals: Migrating to Microsoft Azure
- Microsoft Azure Fundamentals: Azure Network Security
- Microsoft Azure Fundamentals: Azure RBAC & Azure Policy
- Microsoft Azure Fundamentals: Managing Azure Costs
- Microsoft Azure Fundamentals: Managing Azure AD
- Microsoft Azure Fundamentals: Azure Service Resilience
- Microsoft Azure Fundamentals: Managing Azure Authentication
- Track 5: Resource Optimization with Python
- Pythonista to Python Master
- Final Exam: Resource Optimization with Python
- Track 4: Building Restful Web Services with Python
- Track 3: Dynamic Data Handling with Python
- OpenCV: Introduction
- OpenCV: Manipulating Images
- OpenCV: Advanced Image Operations
- Faust: Getting Started with Stream Processing
- Faust: Stream Processing Using Models, Agents, & Channels
- Faust: Performing Operations & Maintaining State Using Tables
- Faust: Stream Processing Using Windowing Operations
- Final Exam: Dynamic Data Handling with Python
- Final Exam: Building Restful Web Services with Python
- Web Applications with Django: Working with Models
- Web Applications with Django: Models and Class-based Views
- Web Applications with Django: Building Multiple Apps in a Project
- Web Applications with Django: Developing REST APIs
- Web Applications with Django: Introducing the Django Web Framework
- Web Applications with Django: Using Built-in and Custom Applications
- Molten Framework: Building HTTP APIs
- Molten Framework: Advanced Features
- Flask-RESTful: Integrating the API Server with a MySQL Database
- Operations with petl: Basic Data Transformations
- HTTP Requests with HTTPX: Introduction
- Operations with petl: Advanced Extractions & Transformations
- HTTP Requests with HTTPX: Advanced Topics
- Flask-RESTful: Parsing & Validating Input Requests
- Flask-RESTful: Getting Started with Flask-RESTful to Build APIs
- Track 2: Data Visualization for Web App Using Python
- SQL Databases Using SQLAlchemy: Getting Started
- SQL Databases Using SQLAlchemy: Chaining Joins, Views, & Indexes
- Operations with petl: Introduction
- SQL Databases Using SQLAlchemy: Manipulating Data
- Final Exam: Data Visualization for Web Apps Using Python
- SQL Databases Using SQLAlchemy: Querying Data
- SQL Databases Using SQLAlchemy: Using Triggers, Stored Procedures, & Transactions
- SQL Databases Using SQLAlchemy: Using the SQLAlchemy ORM
- Dash Python Framework: Creating Widgets in Dash Apps
- Dash Python Framework: Leveraging Dash with User Input & Dash DataTable
- Dash Python Framework: Dash for Interactive Web Apps
- Microsoft Azure Fundamentals: Azure App Service
- Python with Altair: Working with Specialized Graphs
- Python Statistical Plots: Time Series Data & Regression Analysis in Seaborn
- Python with Altair: An Introduction to Altair
- Python with Altair: Plotting Fundamental Graphs
- Microsoft Azure Fundamentals: AZ-900 Exam Preparation
- Track 1: Python for Developers
- Final Exam: Python for Developers
- Python Statistical Plots: Visualizing & Analyzing Data Using Seaborn
- Python Development: Working with If Statements, Loops, & Comprehensions
- Python Development: Creating Classes, Handling Errors, & Importing Modules
- Python Development: Defining, Configuring, & Invoking Functions
- Python Development: Leveraging Functions with Lambdas, Generators, Closures, & Decorators
- Python Development: Getting Started with Programming in Python
- Python Development: Performing Operations with Complex Data Types
- Microsoft Azure Fundamentals: Azure Network Infrastructure
- Microsoft Azure Fundamentals: Azure VNet Peering & VPNs
- Microsoft Azure Fundamentals: Azure Container Solutions
- Microsoft Azure Fundamentals: Azure Virtual Machines
- Microsoft Azure Fundamentals: Cloud Computing
- Microsoft Azure Fundamentals: Azure Management Tools
- Microsoft Azure Fundamentals: Managing the Microsoft Azure Hierarchy
- Microsoft Azure Fundamentals: Managing Azure Storage
- Microsoft Azure Fundamentals: Azure Files
- Exploring the Depths of Large Language Models in Generative AI
- R Programming for Beginners: Getting Started
- Statistical Analysis and Modeling in R: Working with Probability Distributions
- Deep Learning & Neural Network Implementation
- Implementing ML Algorithm Using scikit-learn
- Machine Learning Implementation
- AI Fundamentals
- Cleaning Data in R
- R Classification & Clustering
- R Regression Methods
- Data Exploration using R
- Importing & Exporting Data using R
- R Data Structures
- R for Data Science: Data Visualization
- Machine Learning & Data Analytics
- Supervised, Unsupervised & Deep Learning
- Python - Introduction to NumPy for Multi-dimensional Data
- Python - Advanced Operations with NumPy Arrays
- Python - Pandas Advanced Features
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- IT Infrastructure Automation: Python Automation Programming
- Python - Introduction to Pandas and DataFrames
- AWS Cloud Practitioner 2023: AWS Compute Services
- AWS Cloud Practitioner 2023: Automation & Managed Services
- AWS Cloud Practitioner 2023: Shared Responsibility & Compliance
- AWS Cloud Practitioner 2023: Overview of Cloud Security
- AWS Cloud Practitioner 2023: Access Management
- AWS Cloud Practitioner 2023: Components & Resources for Security
- AWS Cloud Practitioner 2023: Deploying & Operating in the AWS Cloud
- AWS Cloud Practitioner 2023: Benefits & Design Principles of the AWS Cloud
- AWS Cloud Practitioner 2023: Migration to the AWS Cloud & Cloud Economics
- CompTIA A+ 220-1001: TCP & UDP ports
- JSON Essentials
- SQL Concepts & Queries
- APIs
- CompTIA Linux+: Introduction to Linux & the Command Line
- DEVASC: Network & Network Communication Basics
- Jenkins for DevOps: Jenkins Configuration for DevOps
- Software Testing for DevOps: DevOps Test Tools
- Business Value of the Cloud: The Cloud Computing Value Proposition
- The Language of DevOps: DevOps Tools & Processes
- Training Machine Learning Models in Power BI
- Smart Narratives, Q&A Visuals, & Copilot in Power BI
- AI-powered Visuals in Power BI
- Leveraging AI Insights & Text Analytics in Power BI
- Track 4: Empowering Your Data Insights: Unleashing AI in Power BI
- Mastering Power BI
- Final Exam: Unleashing AI in Power BI
- Performing Joins Using Merge Queries in Power BI
- Using the Power BI Mobile App
- Working with Scorecards, Dashboards, & Paginated Reports in Power BI
- Getting Started with the Power BI Service
- Working with Real-time Streaming in Power BI
- Getting Started with Power BI Administration
- Track 3: Advanced Strategies for Administration, Security, and Performance
- Track 2: Mastering Power BI Service and Power Query
- Final Exam: Mastering Power BI Service and Power Query
- Final Exam: Advanced Strategies for Administration, Security, and Performance
- Getting Started with Power Query in Power BI
- Data Loading & Visualization in Power BI: Advanced Visualizations
- Track 1: From Data Loading to Stunning Visualizations
- Final Exam: From Data Loading to Stunning Visualization
- Data Loading & Visualization in Power BI: Data Modeling
- Data Loading & Visualization in Power BI: Loading Data from Cloud Storage
- Generative AI APIs for Practical Applications: An Introduction
- Artificial Intelligence and Machine Learning
- Data Loading & Visualization in Power BI: Loading Data from Databases
- Working with Git
- Data Loading & Visualization in Power BI: Getting Started
- Git & GitHub: Using GitHub for Source Code Management
- Finetuning Your ChatGPT Prompts
- ChatGPT's Impact on Various Industries
- Ethical, Privacy, & Intellectual Property Considerations for ChatGPT
- ChatGPT Journey
- The Role of ChatGPT in Shaping Our Future
- ChatGPT & Its Practical Use Cases
- Exploring Prompt Engineering Techniques
- Case Studies in Prompt Engineering
- Track 1: Prompt Engineering with Generative AI Tools
- Prompt Engineering with Generative AI Tools
- Git & GitHub: Introduction
- Git & GitHub: Working with Git Repositories
- Getting Started with Prompt Engineering
- Exploring the OpenAI Playground
- Data Literacy for Business Professionals
- ChatGPT Prompt Engineering Examples & Use Cases
- OWASP Top 10: Securing Web Applications
- AWS Certified Machine Learning: Data Engineering, Machine Learning, & AWS
- AWS Certified Machine Learning: Data Movement
- AWS Certified Machine Learning: Data Pipelines & Workflows
- AWS Certified Machine Learning: Amazon S3 Simple Storage Service
- Finding the Quality in Your Data
- Python for Data Science: Basic Data Visualization Using Seaborn
- AWS Certified Machine Learning: Jupyter Notebook & Python
- Fundamentals of AI & ML: Foundational Data Science Methods
- Leveraging AI as a Team Member
- Fostering a Growth Mindset in the Age of AI
- Leveraging Analytical and Critical Thinking to Implement AI
- Embracing Risk and Learning from Setbacks with AI Projects
- Human Skills to Sustain an AI Transformation
- Generative AI Business Transformation
- Recognizing Hallucinations, Inaccuracies, and Bias in AI
- Navigating AI Ethical Challenges and Risks
- Establishing AI Guardrails and Governance
- Reimagining the Customer Experience with Generative AI
- Reimagining the Sales Process with Generative AI
- Unlocking Business Solutions with AI-Powered Analytics
- Using AI to Improve the Employee Experience
- Leading in the Age of Generative AI
- Encouraging Innovation and Experimentation with AI
- Leading through the AI Disruption with Empathy
- Reimagining Work with Generative AI
- Responsible Application and Guardrails for Generative AI
- Foundations of Generative AI
- Leading an AI Transformation
- Data Science Overview
- Generative AI and Its Impact to Everyday Business
- Harnessing the Disruption of Generative AI
- Angelo Longo's Transcript
- Angelo Longo's Wallet
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