Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Ilona Mähönen's Credentials
- Ilona Mähönen's Wallet
- Recognizing Hallucinations, Inaccuracies, and Bias in AI
- Responsible Application and Guardrails for Generative AI
- Navigating AI Ethical Challenges and Risks
- Foundations of Generative AI
- CGI: DORA eLearning
- Business Analysis Overview
- Microsoft Azure Fundamentals: Cloud Computing
- Microsoft Azure Fundamentals: Cloud Computing Concepts
- Track 2: Understanding the User
- Track 3: Design Process
- UI and UX Design Novice to Professional
- Track 4: Interaction Design
- Track 1: HTML Fundamentals
- Track 1: Intro to UI and UX Design
- Monitoring & Securing System Configuration
- CompTIA Cybersecurity Analyst+: IT Security Risk Mitigation
- CEH v11: Risk Management, Cyber Threat Intelligence & Threat Modeling
- Risk Analysis: Security Risk Management
- CompTIA Security+: Implementing Cybersecurity Resilience
- AI for Data Science: Accelerate
- An Executive's Guide to Security: Protecting Your Information
- Track 2: Developing an AI/ML Data Strategy
- Track 1: Cybersecurity Policies, Procedures, and Controls
- Developing an AI/ML Data Strategy: Aspects of a Robust AI Strategy
- Developing an AI/ML Data Strategy: Data Bias & Ethical Considerations in AI
- Developing an AI/ML Data Strategy: Data Management & Governance in AI
- Certified in Cybersecurity (CC): Networking & Security Infrastructure
- Certified in Cybersecurity (CC): Present Threats & Network Security Controls
- Certified in Cybersecurity (CC): Data Security & System Hardening
- Certified in Cybersecurity (CC): Security Best Practices & Security Awareness
- Certified in Cybersecurity (CC): Incident Response
- Certified in Cybersecurity (CC): Business Continuity Planning
- Certified in Cybersecurity (CC): Logical Access Controls
- Certified in Cybersecurity (CC): Physical Access Controls
- Attention-based Models and Transformers for Natural Language Processing
- Using Out-of-the-Box Transformer Models for Natural Language Processing
- Using Recurrent Networks For Natural Language Processing
- Natural Language Processing Using Deep Learning
- An Introduction to GPT Models
- AI for Data Science: Activate
- Deep Learning and Neural Networks
- Artificial Intelligence and Machine Learning
- Exploring the Depths of Large Language Models in Generative AI
- Leveraging Generative AI for Business
- An Introduction to Generative AI Concepts
- Getting Started with Large Language Models (LLMs)
- Generative Modeling Foundations
- Prompt Engineering for Data: Leveraging Prompts for Filtering & Grouping Data
- Generative AI Pitfalls
- Track 1: Generative AI Pitfalls
- Prompt Engineering for Data: Leveraging Prompts When Working with Data
- Prompt Engineering for Data: Basic Data Manipulation Using Generative AI
- Math & Optimizations: Introducing Sets & Set Operations
- Fundamentals of NLP: Introducing Natural Language Processing
- Data Science Foundations Portfolio Project
- Portfolio Project: Data Visualization
- Data Science Foundations Portfolio Project
- Communicating Data Science Findings
- Data Science Foundations Portfolio Project
- Portfolio Project: Data Visualization
- Communicating Data Science Findings
- Portfolio Project: Data Visualization
- Principles of Data Literacy
- Welcome to the Data Scientist: Natural Language Processing Specialist Career Path
- Core Statistical Concepts: An Overview of Statistics & Sampling
- Track 1: Data Visualization with Excel
- Excel Visualization: Building Box Plots, Sunburst Plots, Gantt Charts, & More
- Final Exam: Data Visualization with Excel
- Excel Visualization: Getting Started with Excel for Data Visualization
- Excel Visualization: Building Column Charts, Bar Charts, & Histograms
- Excel Visualization: Plotting Stock Charts, Radar Charts, Treemaps, & Donuts
- Excel Visualization: Visualizing Data Using Line Charts & Area Charts
- Data Visualization: Best Practices for Creating Visuals
- Cloud Computing and MLOps: Cloud and AI
- Developing an AI/ML Data Strategy: Data Analytics & Data Ethics
- Visualizing Data for Impact: Visual Design Theory
- Visualizing Data for Impact: Introduction to Data Visualization
- Visualizing Data for Impact: Data Storytelling
- Visualizing Data for Impact: Analyzing Misleading Visualizations
- Track 3: Visualizing Data for Impact
- Fundamentals of AI & ML: Introduction to Artificial Intelligence
- Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
- Developing an AI/ML Data Strategy: Building an AI-powered Workforce
- Fundamentals of AI & ML: Advanced Data Science Methods
- Track 1: Fundamentals of AI and ML
- Track 1: Introduction to Large Language Models (LLMs)
- Introduction to Large Language Models (LLMs)
- Fundamentals of AI & ML: Metrics & Evaluation
- Next Step: The Machine Learning Specialty
- Fundamentals of AI & ML: Foundational Data Science Methods
- Big Data Concepts: Getting to Know Big Data
- Track 1: Data Primer
- Final Exam: Data Primer
- Traditional Data Architectures: Data Warehousing and ETL Systems
- Data Nuts & Bolts: Fundamentals of Data
- Traditional Data Architectures: Relational Databases
- New Age Data Infrastructures: Factors Driving Data Infrastructures
- Welcome to the Data Scientist: Machine Learning Specialist Career Path
- Principles of Data Literacy
- Principles of Data Literacy
- Welcome to the Data Scientist: Analytics Specialist Career Path
- Learn Microsoft Excel for Data Analysis
- Blending & Managing Data Files in Tableau Desktop
- Opening & Connecting Data Sources in Tableau Desktop
- Preparing & Cleaning Data in Tableau Desktop
- Data Loading & Visualization in Power BI: Loading Data from Cloud Storage
- Track 1: Exploring and Visualizing Data in Excel
- Data Loading & Visualization in Power BI: Loading Data from Databases
- Formatting cells and ranges in Excel 365
- Data Loading & Visualization in Power BI: Getting Started
- Track 2: Databases with SQL
- REST API: Exploring the Basic Features
- Introducing API Fundamentals & Testing: Understanding APIs
- Track 1: AI Gen Attacks Case Studies
- Track 3: Gen AI Defenses and Detections
- CGI Annual Tour F2025
- Case Studies in Prompt Engineering
- Track 1: Prompt Engineering with Generative AI Tools
- Prompt Engineering with Generative AI Tools
- Final Exam: Prompt Engineering with Generative AI Tools
- Exploring Prompt Engineering Techniques
- Getting Started with Prompt Engineering
- Exploring the OpenAI Playground
- Using OpenAI APIs: Fine-tuning Models, the Assistants API, & Embeddings
- Generative AI Introduction and Overview
- Final Exam: Generative AI Introduction and Overview
- Track 1: Generative AI Overview
- Using OpenAI APIs: Accessing OpenAI APIs from Python
- Using OpenAI APIs: Using Image & Audio APIs
- Using OpenAI APIs: Exploring APIs with the OpenAI Playground
- Generative AI Models: Generating Data Using Generative Adversarial Networks
- Generative AI Models: Generating Data Using Variational Autoencoders
- Tester Foundation Level 4.0: Software Testing Basics
- Generative AI Models: Getting Started with Autoencoders
- Certified in Cybersecurity (CC): Security Governance, Policies, & Controls
- An Introduction to Generative AI
- Artificial Intelligence: Basic AI Theory
- Certified in Cybersecurity (CC): Core Security Principles & Risk Management
- Enhancing Enterprise Security with AI
- Track 1: Leveraging AI in Enterprise Security
- Final Exam: Enhancing Enterprise Security with Generative AI and AI
- Enterprise Security: Using AI for Intrusion Detection & Prevention
- Enterprise Security: AI in Authentication & Detection of Security Threats
- Enterprise Security: Leveraging Generative AI with Common Security Tools
- Enterprise Security: Leveraging AI to Enhance Email Security
- Enterprise Security: Leveraging AI to Protect & Validate User Data
- Enterprise Security: Artificial Intelligence, Generative AI, & Cybersecurity
- Enterprise Security: Leveraging AI in Identity Security
- Track 01: AI Gen Attacks Case Studies
- Track 03: Gen AI Defenses and Detections
- Track 02: Types of Gen AI Attacks
- Introduction to AI-Generated Attacks for Professionals
- Track 4: SQL for Marketers and Product Managers
- Track 3: Intermediate SQL Functions
- Analyze Data with SQL
- Track 2: Aggregates, Multiple Tables, and Subqueries with SQL
- Track 1: SQL Basics
- Text Mining & Social Network Analysis
- Harnessing the Disruption of Generative AI
- Generative AI and Its Impact to Everyday Business
- Establishing AI Guardrails and Governance
- Embracing Risk and Learning from Setbacks with AI Projects
- Ilona Mähönen's Transcript
- Ilona Mähönen's Wallet
- About Accredible