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- User Authentication
- Gary Cooper's Credentials
- Gary Cooper's Wallet
- AI Change Management: Understanding Drivers and Impact
- AI Change Management: Leading the Transformation
- Getting Started with Prompt Engineering
- AI in IT Automation: Integrating AI Automation in IT Operations
- Future of AI in DevOps
- Leveraging AI in Human Resources
- Maximizing Customer Service with AI
- AI in the Workplace
- AI-enhanced Sales Strategies
- Harnessing AI for Marketing Success
- Smart AI in Product Management
- Responsible Use of AI
- Introduction to AI-powered Image Generation
- Azure AI Fundamentals: Artificial Intelligence Principles
- Deep Dive Into Generative AI with Azure OpenAI
- Introduction to Generative AI on Azure
- Generative AI on AWS: Deploying & Managing GenAI Services on AWS
- Creating & managing meetings in Teams 2023
- Generative AI Foundations: Advanced Generative AI Techniques for IT
- Generative AI with Azure OpenAI
- Generative AI for Program Managers
- Generative AI for Product Managers
- Generative AI Foundations: Ethical & Responsible Use of AI in IT
- Moving from Bias to Inclusion in a DEI Journey
- Adopting an Inclusion Mindset at Work
- Thriving with High-pressure Work
- Strength under Pressure: Building Perseverance and Resilience
- Developing Your Resilience as a Healthcare Professional
- Active Leadership and the Context for Leadership
- Embracing Change at Work
- Navigating the Post-Pandemic Workplace
- Leading in the Post-pandemic Workplace
- Taking the Lead with Workplace Motivation and Engagement
- Reimagining the Employee Experience: DEI from Hire to Retire
- Managing and Supporting Employee Wellness
- Introduction to Using AI-powered DevOps
- Optimizing Your Workplace Well-being
- Set Your Workspace Up For Success
- Sharing Space: Living, Learning, and Working at Home
- Building Shared Understanding across Cultural Divides
- Bridging Differences in Cross-cultural Communication
- Reimagining Product Management with Generative AI
- Reimagining Marketing with Generative AI
- New Developments in Python
- Understanding Agile Fundamentals (2021 Update)
- Enterprise Security: Leveraging AI in Identity Security
- AI in IT Automation: Developing AI-powered IT Solutions
- Prompt Engineering: Ethical Hacking & Generative AI Fusion
- Enterprise Security: Leveraging AI to Enhance Email Security
- Prompt Engineering: GenAI’s Impact on Network & Perimeter Ethical Hacking
- Enterprise Security: Leveraging Generative AI with Common Security Tools
- Prompt Engineering: Web Application & Database Hacking in the Age of GenAI
- Prompt Engineering: Generative AI for System Hacking
- Prompt Engineering: Generative AI for Malware & Social Engineering
- Leading Security Teams for GenAI Solutions: Protecting Intellectual Property
- Leading Security Teams for GenAI Solutions: Enhancing Security Posture
- Leading Security Teams for GenAI Solutions: Security Implications
- Leading Security Teams for GenAI Solutions: Use of Generative AI
- Generative AI Foundations: IT Integration with Generative AI
- Emerging Data Trends: AI TRiSM Unleashed
- Developing an AI/ML Data Strategy: Data Management & Governance in AI
- Leading Security Teams for GenAI Solutions: Generative AI Governance
- Generative AI for Project Managers
- Generative AI on GCP: Empowering Machine Language Workflows with Vertex AI
- Generative AI on GCP: Harnessing Generative AI with Vertex AI
- Generative AI on GCP: An Introduction
- Generative AI on GCP: Deep Dive Into Generative AI Studio
- Generative AI on GCP: Building Generative AI-powered Apps in GCP
- Traditional Data Architectures: Data Warehousing and ETL Systems
- Big Data Concepts: Getting to Know Big Data
- Techniques for Big Data Analytics
- Data Nuts & Bolts: Fundamentals of Data
- CompTIA Cybersecurity Analyst+: Threat Intelligence Information
- CompTIA Cybersecurity Analyst+: Malicious Techniques & Procedures
- NLP with LLMs: Fine-tuning Models for Classification & Question Answering
- Generative AI Models: Generating Data Using Generative Adversarial Networks
- Certified in Cybersecurity (CC): Data Security & System Hardening
- Certified in Cybersecurity (CC): Networking & Security Infrastructure
- Certified in Cybersecurity (CC): Logical Access Controls
- Certified in Cybersecurity (CC): Physical Access Controls
- Certified in Cybersecurity (CC): Incident Response
- Certified in Cybersecurity (CC): Business Continuity Planning
- Certified in Cybersecurity (CC): Present Threats & Network Security Controls
- Certified in Cybersecurity (CC): Security Best Practices & Security Awareness
- Certified in Cybersecurity (CC): Core Security Principles & Risk Management
- Certified in Cybersecurity (CC): Security Governance, Policies, & Controls
- Collaborating in meetings in Teams 2023
- Getting started in Teams 2023
- Using messaging</br>& call tools</br>in Teams 2023
- Working with Apps in Teams 2023
- AWS Certified Machine Learning: AI/ML Services
- Assessing Organizational Risks
- Managing Organizational Risks
- Managing teams & channels in Teams 2023
- Leveraging Generative AI for Business
- NLP with LLMs: Fine-tuning Models for Language Translation, & Summarization
- Advanced NLP: Language Translation Using Transformer Model
- Enterprise Security: Artificial Intelligence, Generative AI, & Cybersecurity
- Using Out-of-the-Box Transformer Models for Natural Language Processing
- Attention-based Models and Transformers for Natural Language Processing
- Natural Language Processing: Getting Started with NLP
- Natural Language Processing: Linguistic Features Using NLTK & spaCy
- Fundamentals of NLP: Introducing Natural Language Processing
- Natural Language Processing Using Deep Learning
- Deep Learning and Neural Networks
- Using Recurrent Networks For Natural Language Processing
- Generative AI Models: Getting Started with Autoencoders
- Generative AI on AWS: Building GenAI Models with Amazon SageMaker
- Generative Modeling Foundations
- Generative AI Models: Generating Data Using Variational Autoencoders
- An Introduction to Generative AI Concepts
- An Introduction to Generative AI
- Getting Started with Large Language Models (LLMs)
- Exploring the Depths of Large Language Models in Generative AI
- Prompt Engineering: Covering Tracks with GenAI
- Fundamentals of AI & ML: Metrics & Evaluation
- Prompt Engineering: Generative AI for Reconnaissance
- Artificial Intelligence and Machine Learning
- Working with Tabs & Apps in Teams 2022
- Using messaging & call tools in Teams 2022
- Managing teams & channels in Teams 2022
- Getting started in Teams 2022
- Finding & organizing files in Teams 2022
- Developing an AI/ML Data Strategy: Data Bias & Ethical Considerations in AI
- Applying Scrum Development Practices
- Developing an AI/ML Data Strategy: Aspects of a Robust AI Strategy
- Scrum Concepts & the Product Owner
- Scrum Product: Defining the Why & How of the Product
- Final Exam: Scaled Agile Leader
- Product Owner: Fulfilling Customer Needs & Expectations
- Final Exam: Scrum Master
- Scrum Master: Scrum for the Team
- Scrum Master: Service to the Organization
- CAPM®: Other Adaptive Methodologies
- CAPM®: Project Management Key Concepts
- Final Exam: Agile for Decision-makers and Leaders
- CAPM®: Agile Adaptive Project Management
- Agile Best Practices for Tech Leaders: Product Vision Definition
- Agile Best Practices for Tech Leaders: Agile Transition Roadmaps
- Agile Best Practices for Tech Leaders: Business Value
- Development & Testing with Agile: Team Meetings
- Communicating and Engaging Teams and Stakeholders (2021 Update)
- Development & Testing with Agile: Agile Self-organizing Teams
- Agile Organizations: Building an Agile Culture
- Agile Best Practices for Tech Leaders: Organizational Agile
- Agile Best Practices for Tech Leaders: Agile Team Roles
- Scrum Foundation: Scrum in Action
- Scaled Agile Leader: Scrum Scaling Challenges
- Scaled Agile Leader: Scaling Scrum Frameworks
- Scaled Agile Leader: Scaling Scrum Customization
- Text Mining and Analytics: Machine Learning for Natural Language Processing
- Machine & Deep Learning Algorithms: Introduction
- Scrum Toolbox: GitHub for Scrum
- Scrum Toolbox: Charts & Task Boards
- Scrum Toolbox: Wrike for Scrum
- Scrum Toolbox: Jira for Scrum
- Scrum Toolbox: Common Scrum Software Tools
- Scrum Master: Role of the Scrum Master
- Scrum Toolbox: Selecting Scrum Tools
- Scrum Toolbox: Traditional Scrum Tools
- Scrum Toolbox: Soft Skills-based Scrum Tools
- Agile Best Practices for Tech Leaders: The Scrum Framework
- Agile Best Practices for Tech Leaders: Core Concepts
- Agile Best Practices for Tech Leaders: User-centered Design & Agile
- Prompt Engineering: Generative AI for Scanning & Enumeration
- Development & Testing with Agile: Agile Methodologies in Software Development
- Software Product Management: Reflection & Improvement
- Development & Testing with Agile: Extreme Programming
- Software Craft for Engineering Leaders: Introduction to Quality Management
- Agile Software Projects: Estimation Methods
- Agile Best Practices for Tech Leaders: Agile Frameworks
- Agile Software Projects: Software Requirements
- Agile Software Projects: Software Design
- Software Craft for Engineering Leaders: Introduction to Product Management
- Software Product Management: Gathering Requirements
- Agile Best Practices for Tech Leaders: People Leadership
- Software Craft for Engineering Leaders: Introduction to Agile Approaches
- Software Product Management: Building Support for Agile
- Software Product Management: Agile Fundamentals
- Agile Foundations: Fundamentals
- Information Security for Leaders: An Introduction to InfoSec
- Information Security Practices: Multi-year InfoSec Planning
- Trends in Cybersecurity
- Agile Best Practices for Tech Leaders: Scrum Artifacts
- Cybersecurity Awareness: Information Security Fundamentals
- Agile Best Practices for Tech Leaders: The Scrum Phases
- Using Intelligent Information Systems in AI
- Agile Best Practices for Tech Leaders: Agile Team Structures
- Agile Best Practices for Tech Leaders: Organization Fundamentals
- Agile Best Practices for Tech Leaders: Scrum Events
- Agile Foundations: Scrum Methodology
- Scaled Agile Leader: Scaling Scrum
- Scrum Master: Beyond Scrum
- Scrum Master: Scrum Master as Process Owner
- Scrum Master: Scrum Adoption Advanced Concepts
- Scrum Master: Service to the Product Owner
- Product Owner: Product Backlog Items & Refinement
- Product Owner: Product Backlog Management - Defining Product Value
- Product Owner: Product Assumption Validation
- Product Owner: Product Purpose & Strategy
- Product Owner: Product Planning
- Scrum Foundation: Scrum Development Concepts
- Scrum Foundation: Best Practices
- Scrum Foundation: Scrum Certification & the Scrum Guide
- Scrum Master: Advanced Service to the Product Owner
- Scrum Master: Scaling Scrum Teams
- Scrum Master: Scrum Team Advanced Concepts
- Scrum Master: Scrum Master & Self-managing Teams
- Product Owner: Core Competencies
- Scrum Master: Advanced Facilitation & Coaching Practices
- Scrum Master: Scrum Master & Coaching
- Scrum Master: Scrum Master & Facilitation
- Scrum Master: Scrum Master Service to Scrum Team
- Scrum Foundation: Scrum Team & Collaboration
- Scrum Foundation: Scrum Basics
- Agile for Software Development: Lean, Agile, & Scrum Methodologies
- Cloud Computing Fundamentals: Introduction
- AWS Certified Machine Learning: AI Services & SageMaker Applications
- Text, Image, & Audio Generation with OpenAI
- Code, Relatedness, & Fine-tuning with OpenAI
- Introduction to the OpenAI API
- AI Framework Overview: AI Developer Role
- Mitigating Security Risks: Managing Social Engineering Risks
- Social Engineering Threats and Prevention
- Elements of an Artificial Intelligence Architect
- Automation Design & Robotics
- Artificial Intelligence: Human-computer Interaction Methodologies
- Unlocking Business Solutions with AI-Powered Analytics
- Reimagining the Sales Process with Generative AI
- Using AI to Improve the Employee Experience
- Leading through the AI Disruption with Empathy
- Leveraging Analytical and Critical Thinking to Implement AI
- Establishing AI Guardrails and Governance
- Generative AI APIs for Practical Applications: An Introduction
- Embracing Risk and Learning from Setbacks with AI Projects
- Leveraging AI as a Team Member
- Fostering a Growth Mindset in the Age of AI
- Encouraging Innovation and Experimentation with AI
- Leading in the Age of Generative AI
- Advanced NLP: Introduction to Transformer Models
- Cognitive Models: Approaches to Cognitive Learning
- Cognitive Models: Overview of Cognitive Models
- MLOps with MLflow: Getting Started
- 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: ML Pipelines
- Software Design and Development: Object-oriented Analysis and Design
- Cloud Computing and MLOps: Introduction to MLOps
- Visualizing Data for Impact: Data Storytelling
- Track 3: Visualizing Data for Impact
- Visualizing Data for Impact: Analyzing Misleading Visualizations
- Visualizing Data for Impact: Visual Design Theory
- Visualizing Data for Impact: Introduction to Data Visualization
- Track 1: Fundamentals of AI and ML
- Track 2: Developing an AI/ML Data Strategy
- Reimagining the Customer Experience with Generative AI
- The AI Practitioner: Optimizing AI Solutions
- Uncertainty
- Planning AI Implementation
- Recognizing Hallucinations, Inaccuracies, and Bias in AI
- Navigating AI Ethical Challenges and Risks
- Effective Team Communication
- Artificial Intelligence: Human-computer Interaction Overview
- Artificial Intelligence: Types of Artificial Intelligence
- Artificial Intelligence: Basic AI Theory
- AI Enterprise Planning
- Explainable AI
- Generative AI and Its Impact to Everyday Business
- Harnessing the Disruption of Generative AI
- Implementing AI Using Cognitive Modeling
- Leveraging Reusable AI Architecture Patterns
- Evaluating Current and Future AI Technologies and Frameworks
- Azure AI Fundamentals: Conversational AI Bot
- CCSP 2022: Planning & Implementing Security Controls
- Cloud Computing and MLOps: Cloud and AI
- AI in Industry
- AWS Cloud Practitioner 2022: Cloud Economics
- The AI Practitioner: Role & Responsibilities
- CCSP 2022: Software Assurance & Validation
- Applying AI to Robotics
- Fundamentals of AI & ML: Advanced Data Science Methods
- Fundamentals of AI & ML: Foundational Data Science Methods
- NLP Case Studies: Developing an AI Chatbot
- Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
- Developing an AI/ML Data Strategy: Data Analytics & Data Ethics
- Developing an AI/ML Data Strategy: Building an AI-powered Workforce
- Fundamentals of AI & ML: Introduction to Artificial Intelligence
- SecOps Tools: The Role of AI in SecOps
- The Role of ChatGPT in Shaping Our Future
- Cloud Service Models & Benefits and Issues
- Ethical, Privacy, & Intellectual Property Considerations for ChatGPT
- ChatGPT Journey
- ChatGPT's Impact on Various Industries
- Finetuning Your ChatGPT Prompts
- ChatGPT & Its Practical Use Cases
- ChatGPT Prompt Engineering Examples & Use Cases
- Gary Cooper's Transcript
- Gary Cooper's Wallet
- About Accredible