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- User Authentication
- Richard Ewing's Credentials
- Richard Ewing's Wallet
- ChatGPT Prompt Engineering Examples & Use Cases
- Prompt Engineering: Cloud Computing & IoT Hacking in the Era of GenAI
- Harnessing the Disruption of Generative AI
- Introduction to Generative AI on Azure
- Track 1: Introduction to Generative AI and Prompt Engineering
- Track 2: Prompt Engineering for Programmers
- Prompt Engineering for Programmers
- CGI Annual Tour F2025
- Text, Image, & Audio Generation with OpenAI
- Introduction to the OpenAI API
- Code, Relatedness, & Fine-tuning with OpenAI
- Track 2: Harnessing OpenAI APIs for Powerful Application Solutions
- Generative AI APIs for Practical Applications: An Introduction
- Track 1: Fundamentals of Generative AI APIs for Practical Applications
- Generative AI Introduction and Overview
- Final Exam: Generative AI Introduction and Overview
- Track 1: Generative AI Overview
- Deep Learning and Neural Networks
- Artificial Intelligence and Machine Learning
- Understanding the AI Landscape for Developers
- Track 1: Introduction to the AI Landscape & GPT
- Generative AI Models: Generating Data Using Generative Adversarial Networks
- Using OpenAI APIs: Exploring APIs with the OpenAI Playground
- Using OpenAI APIs: Accessing OpenAI APIs from Python
- Using OpenAI APIs: Using Image & Audio APIs
- Using OpenAI APIs: Fine-tuning Models, the Assistants API, & Embeddings
- Generative AI Models: Generating Data Using Variational Autoencoders
- Generative AI Models: Getting Started with Autoencoders
- An Introduction to Generative AI
- AI Apprentice to AI Architect
- AI Architect
- Explainable AI
- Evaluating Current and Future AI Technologies and Frameworks
- Final Exam: AI Architect
- Leveraging Reusable AI Architecture Patterns
- AI in Industry
- AI Practitioner
- Elements of an Artificial Intelligence Architect
- AI Enterprise Planning
- Final Exam: AI Practitioner
- Using Intelligent Information Systems in AI
- AI Practitioner: BERT Best Practices & Design Considerations
- Using Apache Spark for AI Development
- AI Practitioner: Practical BERT Examples
- Extending Amazon Machine Learning
- Generative AI and Its Impact to Everyday Business
- Establishing AI Guardrails and Governance
- Working With the Keras Framework
- Advanced Functionality of Microsoft Cognitive Toolkit (CNTK)
- The AI Practitioner: Optimizing AI Solutions
- The AI Practitioner: Tuning AI Solutions
- The AI Practitioner: Role & Responsibilities
- AI Developer
- Working with Google BERT: Elements of BERT
- Applying AI to Robotics
- Final Exam: AI Developer
- Implementing AI Using Cognitive Modeling
- Introducing Apache Spark for AI Development
- Keras - a Neural Network Framework
- Implementing AI With Amazon ML
- AI Framework Overview: Development Frameworks
- Working With Microsoft Cognitive Toolkit (CNTK)
- AI Framework Overview: AI Developer Role
- AI Apprentice
- Cognitive Models: Approaches to Cognitive Learning
- Final Exam: AI Apprentice
- Cognitive Models: Overview of Cognitive Models
- Computer Vision: AI & Computer Vision
- Computer Vision: Introduction
- Python AI Development: Practice
- Python AI Development: Introduction
- Artificial Intelligence: Human-computer Interaction Methodologies
- Artificial Intelligence: Human-computer Interaction Overview
- Artificial Intelligence: Types of Artificial Intelligence
- Artificial Intelligence: Basic AI Theory
- CGI Annual Tour F2024: UK and Australia
- Software Testing Foundation 2018: Test Tool Support
- Software Testing Foundation 2018: Risk & Defect Management
- Software Testing Foundation 2018: Test Management
- Software Testing Foundation 2018: Black-box & White-box Testing Techniques
- Software Testing Foundation 2018: Test Monitoring & Control
- Software Testing Foundation 2018: Testing Techniques
- Software Testing Foundation 2018: Static Testing
- Software Testing Foundation 2018: Fundamentals
- Software Testing Foundation 2018: Test Types & Maintenance Testing
- Software Testing Foundation 2018: Testing & the Software Development Lifecycle
- Software Testing Foundation 2018: Test Process Fundamentals
- Classes & Objects
- Classes, Data Types & Regular Expressions
- Operators & Conditionals
- Methods & Conditionals
- Conditions & Arrays
- Encapsulation & Overloaded Constructors
- Introduction to Java
- Working with Variables
- Getting Started in Excel 2016 for Windows
- Formatting Data in Excel 2016 for Windows
- Creating, Saving & Sharing Workbooks in Excel 2016 for Windows
- Inserting & Manipulating Data in Excel 2016 for Windows
- Basic Formulas in Excel 2016 for Windows
- Illustrating Documents in Excel 2016 for Windows
- Google Associate Cloud Engineer: Managing Google Compute Engine
- Google Associate Cloud Engineer: Implementing Google Kubernetes Engine
- Google Associate Cloud Engineer: Managing Google Kubernetes Engine
- Google Associate Cloud Engineer: Implementing Google App Engine
- Google Associate Cloud Engineer: Managing Google App Engine
- Google Associate Cloud Engineer: Implementing Google Cloud Storage
- Google Associate Cloud Engineer: Managing Google Cloud Storage
- Google Associate Cloud Engineer: Google Virtual Private Cloud
- Google Associate Cloud Engineer: Google Identity & Access Management (IAM)
- Google Associate Cloud Engineer: Google Cloud Operations Suite
- Google Associate Cloud Engineer: Google Cloud Platform Ecosystem
- Google Associate Cloud Engineer: Configuring Google Cloud
- Google Associate Cloud Engineer: Google Cloud Resource Manager
- Google Associate Cloud Engineer: Google Cloud Load Balancing
- Google Associate Cloud Engineer: Implementing Google Compute Engine
- Richard Ewing's Transcript
- Richard Ewing's Wallet
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