Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Numan Arshad's Credentials
- Numan Arshad's Wallet
- CompTIA Cloud+: Cloud Migrations
- Six Sigma Black Belt: Team Facilitation and Leadership
- Six Sigma Black Belt: Team Dynamics and Training
- Six Sigma Black Belt: Team Dynamics, Roles, and Success Factors
- Six Sigma Black Belt: Using Business and Financial Measures
- Six Sigma Black Belt: Impact on Stakeholders and Benchmarking
- Six Sigma Black Belt: Strategic Planning and Deployment
- Six Sigma Black Belt: Fundamentals of Lean and Six Sigma and their Applications
- Six Sigma Black Belt: Project Selection, Roles, and Responsibilities
- Senior Software Project Manager
- Final Exam: Senior Software Project Manager
- Business Strategy: Managing Organizational Value
- Business Intelligence: Project Data Analysis
- Agile Hybrid Approaches
- Advanced Agile: Tools & Techniques
- Value-driven Delivery: Delivering Value in Agile Projects
- Business Orientation: Strategic Organizational Goals
- Software Projects: Recruiting the Project Team
- Carbon Literacy
- Track 1: Prompt Engineering with Generative AI Tools
- Prompt Engineering with Generative AI Tools
- Final Exam: Prompt Engineering with Generative AI Tools
- Getting Started with Prompt Engineering
- Exploring the OpenAI Playground
- Exploring Prompt Engineering Techniques
- Case Studies in Prompt Engineering
- Service Desk, IT Asset, Service Configuration, and Change Control Management
- Event, Incident, and Problem Management
- ITIL® 4 Foundation: Key Concepts of Service Management
- Implementation
- Key Concepts and the Four Dimensions of Service Management
- The Guiding Principles of the Service Value System and Continual Improvement Model
- The Service Value Chain and General Management Practices
- Principles
- Architecture & Enterprise Governance
- Stakeholder Needs & Framework Integration
- ITIL® 4 Foundation: Introduction
- Google Generative AI APIs: Advanced Features of Bard & PaLM
- Prompt Engineering for Git: Leveraging Prompt Engineering to Learn Git
- Prompt Engineering for Git: Using Prompt Engineering to Work with Git Branches
- Prompt Engineering for Git: Working with Remote Repositories & Generative AI
- Google Generative AI APIs: Bard Fundamentals
- Track 3: Exploring the Capabilities of Google Generative AI APIs
- Leveraging Generative AI APIs
- Prompt Engineering for Programmers to Learn Version Control
- Track 1: Prompt-driven Git and Python Learning
- Text, Image, & Audio Generation with OpenAI
- Introduction to the OpenAI API
- Code, Relatedness, & Fine-tuning with OpenAI
- Google Generative AI APIs: Introduction to Google Bard
- Google Generative AI APIs: Bard & the PaLM API Fundamentals
- Track 2: Harnessing OpenAI APIs for Powerful Application Solutions
- ChatGPT Prompt Engineering Examples & Use Cases
- 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
- Generative AI APIs for Practical Applications: An Introduction
- Track 1: Fundamentals of Generative AI APIs for Practical Applications
- ChatGPT & Its Practical Use Cases
- Generative AI and Its Impact to Everyday Business
- Harnessing the Disruption of Generative AI
- 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
- 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
- Reimagining Work with Generative AI
- Responsible Application and Guardrails for Generative AI
- Foundations of Generative AI
- Leading an AI Transformation
- Human Skills to Sustain an AI Transformation
- Generative AI Business Transformation
- AI Apprentice to AI Architect
- AI Developer
- AI Architect
- AI Practitioner
- Final Exam: AI Developer
- Final Exam: AI Practitioner
- Final Exam: AI Architect
- AI Apprentice
- AI Practitioner: BERT Best Practices & Design Considerations
- Using Apache Spark for AI Development
- AI Practitioner: Practical BERT Examples
- Final Exam: AI Apprentice
- Extending Amazon Machine Learning
- Working With the Keras Framework
- Using Intelligent Information Systems in AI
- The AI Practitioner: Role & Responsibilities
- The AI Practitioner: Optimizing AI Solutions
- The AI Practitioner: Tuning AI Solutions
- Advanced Functionality of Microsoft Cognitive Toolkit (CNTK)
- Artificial Intelligence: Human-computer Interaction Overview
- Cognitive Models: Approaches to Cognitive Learning
- Artificial Intelligence: Basic AI Theory
- Artificial Intelligence: Types of Artificial Intelligence
- Computer Vision: AI & Computer Vision
- Python AI Development: Introduction
- Working with Google BERT: Elements of BERT
- Computer Vision: Introduction
- Introducing Apache Spark for AI Development
- Cognitive Models: Overview of Cognitive Models
- Implementing AI Using Cognitive Modeling
- Working With Microsoft Cognitive Toolkit (CNTK)
- Artificial Intelligence: Human-computer Interaction Methodologies
- Python AI Development: Practice
- Applying AI to Robotics
- Keras - a Neural Network Framework
- Implementing AI With Amazon ML
- AI Framework Overview: Development Frameworks
- AI Framework Overview: AI Developer Role
- Evaluating Current and Future AI Technologies and Frameworks
- Leveraging Reusable AI Architecture Patterns
- AI in Industry
- Explainable AI
- Track 4: Cloud Computing and MLOps in AI/ML
- AI and ML for Decision-makers
- Final Exam: AI and ML for Decision-makers
- Elements of an Artificial Intelligence Architect
- AI Enterprise Planning
- Leading in the Age of AI
- 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
- Cloud Computing and MLOps: Introduction to MLOps
- Cloud Computing and MLOps: ML Pipelines
- 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
- Cloud Computing and MLOps: Cloud and AI
- Fundamentals of AI & ML: Advanced Data Science Methods
- Track 1: Fundamentals of AI and ML
- Track 2: Developing an AI/ML Data Strategy
- Fundamentals of AI & ML: Introduction to Artificial Intelligence
- Fundamentals of AI & ML: Foundational Data Science Methods
- Storytelling with Data: Introduction
- Advanced Scrum for Project Management
- Software Testing Cycle: Agile Testing
- Software Testing Foundation 2018: Testing & the Software Development Lifecycle
- Software Testing Foundation 2018: Fundamentals
- Applying Value Stream Mapping in Lean Business
- Advanced Agile: Leadership Techniques
- Scaled Agile Leader: Scaling Scrum Frameworks
- Track 1: Agile Foundations
- Track 2: Software Requirements & Design with Agile
- Track 4: Agile Organization
- Track 3: Software Development & Testing with Agile
- Agile for Software Development
- Agile Foundations: Fundamentals
- Agile Software Projects: Software Design
- Agile Software Projects: Estimation Methods
- Final Exam: Agile Foundations
- Final Exam: Software Project Requirements & Design with Agile
- Final Exam: Software Development and Testing with Agile
- Final Exam: Agile Organization
- Agile Software Projects: Software Requirements
- Agile Foundations: Scrum Methodology
- DevOps Practices for the Enterprise
- Agile and DevOps: Adopting Agile Methodology
- Development & Testing with Agile: Agile Self-organizing Teams
- Development & Testing with Agile: Team Meetings
- Agile Organizations: Agile Models & Scaling Agile
- Development & Testing with Agile: Agile Methodologies in Software Development
- Development & Testing with Agile: Project Management
- Development & Testing with Agile: Extreme Programming
- Agile Organizations: DevOps & Agile
- Agile Organizations: Building an Agile Culture
- Agile Organizations: Cloud for Agile Software Development
- Advanced Scrum Master
- Design Thinking for Innovation: Stakeholder Engagement
- Design Thinking for Innovation: Defining Opportunities
- Final Exam: Advanced Scrum Master
- Leadership Insights on Leading a Customer-Centric Culture
- Leadership Insights on Emotional Intelligence
- Expert Insights on Collaboration
- Scaling Scrum: Challenges
- Scaling Scrum: Choosing Scaled Agile Frameworks
- The Agile Leader
- Scaling an Organization's Scrum Process
- Leadership Insights on Leading with Agility
- The Agile Leader
- Scrum Team Velocity: Exploring Team Velocity
- Advanced Lean, Agile, & Scrum Concepts
- Advanced Scrum Metrics
- Accessing the Business Value of Scrum
- Developing and Supporting an Agile Mindset
- Creating & Setting Up Projects in Jira Cloud
- Configuring & Managing Boards in Jira Cloud
- Planning & Working on a Software Project in Jira Cloud
- Reporting in Jira Software
- Welcome to the Leadership Development Program
- Innovating with Lean Product Management
- Cultivating Enterprise Agile
- Adopting the DevOps Mindset
- Becoming a Successful Collaborator
- Becoming an Emotionally Intelligent Leader
- Strategies for Managing Technical Teams
- Building Agile Capabilities in Your Organization
- Numan Arshad's Transcript
- Numan Arshad's Wallet
- About Accredible