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- Generative AI APIs for Practical Applications: An Introduction
- ChatGPT Prompt Engineering Examples & Use Cases
- Python Basics
- Data Structures & Algorithms in Python: Implementing Trees & Graphs
- Data Structures & Algorithms in Python: Trees & Graphs
- Dataproc
- Data Structures & Algorithms in Python: Implementing Sorting Algorithms
- Data Structures & Algorithms in Python: Implementing Data Structures
- Data Structures & Algorithms in Python: Sorting Algorithms
- Data Structures & Algorithms in Python: Fundamental Data Structures
- Functions in Python: Working with Advanced Features of Python Functions
- Functions in Python: Gaining a Deeper Understanding of Python Functions
- Conditional Statements & Loops: While Loops in Python
- Functions in Python: Introduction
- Conditional Statements & Loops: The Basics of for Loops in Python
- Conditional Statements & Loops: Advanced Operations Using for Loops in Python
- Complex Data Types in Python: Shallow & Deep Copies in Python
- Conditional Statements & Loops: If-else Control Structures in Python
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Getting Started with Python: Introduction
- Google Cloud Architect: Cloud Basics
- Using Docker for DevOps: Introduction to Docker
- Software Testing for DevOps: DevOps Test Tools
- Cloud Computing Fundamentals: Introduction
- The Language of DevOps: DevOps Tools & Processes
- Jenkins for DevOps: Jenkins Configuration for DevOps
- Agile Programming & Testing
- Agile for Software Development: Lean, Agile, & Scrum Methodologies
- Advanced Agile: Tools & Techniques
- Agile Architecture, Design, & Collaboration
- Deep Learning & Neural Network Implementation
- Neural Networks
- Convolutional and Recurrent Neural Networks
- Agile Software Development: Agile Development Life Cycle
- Data Science Fundamentals
- Python - Introduction to NumPy for Multi-dimensional Data
- Getting Started with Neural Networks: Biological & Artificial Neural Networks
- ConvNets: Introduction to Convolutional Neural Networks
- Machine & Deep Learning Algorithms: Introduction
- Supervised, Unsupervised & Deep Learning
- Cloud Data Architecture: Data Management & Adoption Frameworks
- Logical & Physical Design
- Concepts & Conceptual Design
- Cloud Data Architecture: Cloud Architecture & Containerization
- Models & Applications
- SQL & Concurrency Concepts
- Data Architecture Getting Started
- Data Warehouse Essential: Architecture Frameworks & Implementation
- Professional Data Engineer
- Normalization Concepts & Forms
- Platform Fundamentals
- Charles W Castleman's Transcript
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