Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Ramesh Govindarajan's Credentials
- Ramesh Govindarajan's Wallet
- 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
- Using the Power BI Mobile App
- 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
- Performing Joins Using Merge Queries in Power BI
- Working with Scorecards, Dashboards, & Paginated Reports in Power BI
- Getting Started with the Power BI Service
- 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
- Data Loading & Visualization in Power BI: Loading Data from Databases
- Data Loading & Visualization in Power BI: Getting Started
- Microsoft Azure Fundamentals: Managing the Microsoft Azure Hierarchy
- Microsoft Azure Fundamentals: Azure Management Tools
- Microsoft Azure Fundamentals: Cloud Computing
- AI Apprentice to AI Architect
- AI Architect
- Explainable AI
- Evaluating Current and Future AI Technologies and Frameworks
- Final Exam: AI Architect
- AI in Industry
- Leveraging Reusable AI Architecture Patterns
- AI Practitioner
- Elements of an Artificial Intelligence Architect
- AI Practitioner: BERT Best Practices & Design Considerations
- AI Enterprise Planning
- AI Practitioner: Practical BERT Examples
- Using Intelligent Information Systems in AI
- Working With the Keras Framework
- Using Apache Spark for AI Development
- Extending Amazon Machine Learning
- Final Exam: AI Practitioner
- Advanced Functionality of Microsoft Cognitive Toolkit (CNTK)
- The AI Practitioner: Optimizing AI Solutions
- The AI Practitioner: Role & Responsibilities
- The AI Practitioner: Tuning AI Solutions
- AI Developer
- Working with Google BERT: Elements of BERT
- Final Exam: AI Developer
- Implementing AI Using Cognitive Modeling
- Implementing AI With Amazon ML
- Applying AI to Robotics
- AI Framework Overview: Development Frameworks
- Introducing Apache Spark for AI Development
- Keras - a Neural Network Framework
- Working With Microsoft Cognitive Toolkit (CNTK)
- AI Framework Overview: AI Developer Role
- AI Apprentice
- Cognitive Models: Overview of Cognitive Models
- Cognitive Models: Approaches to Cognitive Learning
- Final Exam: AI Apprentice
- Computer Vision: AI & Computer Vision
- Computer Vision: Introduction
- Python AI Development: Practice
- Artificial Intelligence: Types of Artificial Intelligence
- Python AI Development: Introduction
- Artificial Intelligence: Human-computer Interaction Overview
- Artificial Intelligence: Human-computer Interaction Methodologies
- Artificial Intelligence: Basic AI Theory
- Human Skills to Sustain an AI Transformation
- Generative AI Business Transformation
- 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
- Leveraging AI as a Team Member
- Leading in the Age of Generative AI
- Encouraging Innovation and Experimentation with AI
- Leading through the AI Disruption with Empathy
- Leading an AI Transformation
- 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
- Reimagining Work with Generative AI
- Responsible Application and Guardrails for Generative AI
- Harnessing the Disruption of Generative AI
- Recognizing Hallucinations, Inaccuracies, and Bias in AI
- Navigating AI Ethical Challenges and Risks
- Foundations of Generative AI
- Generative AI and Its Impact to Everyday Business
- Ramesh Govindarajan's Transcript
- Ramesh Govindarajan's Wallet
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