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- User Authentication
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- Neural Networks
- Convolutional and Recurrent Neural Networks
- TensorFlow: Introduction to Machine Learning
- Using Docker for DevOps: Introduction to Docker
- TensorFlow: Simple Regression & Classification Models
- TensorFlow: Sentiment Analysis with Recurrent Neural Networks
- MLOps with MLflow: Getting Started
- Data Research Exploration Techniques
- Model Management: Building & Deploying Machine Learning Models in Production
- Getting Started with MLOps
- Data Warehouse Essential: Architecture Frameworks & Implementation
- Working with MongoDB Atlas: An Introduction to MongoDB Atlas
- Data Warehouse Essential: Concepts
- Python Pandas for Data Engineers
- SQL Fundamentals for Data Engineers
- Python Fundamentals for Data Engineers
- Welcome to the Data Engineer Career Path
- Transforming Data
- Installation & Introduction
- Data Mapping
- Job Orchestrations & Process Automation
- Getting Started with Snowflake: Using the Snowflake Data Platform
- Getting Started with Snowflake: Queries, Dashboards, & Tables
- Getting Started with Snowflake: Using Time Travel & the SnowSQL CLI
- Security Programming: Python Scripting Essentials
- Python Requests: HTTP Requests with Python
- Socket Programming in Python: Advanced Topics
- Socket Programming in Python: Introduction
- dbt Fundamentals
- Data Structures & Algorithms in Python: Implementing Trees & Graphs
- Data Structures & Algorithms in Python: Sorting Algorithms
- Data Structures & Algorithms in Python: Implementing Sorting Algorithms
- Data Structures & Algorithms in Python: Trees & Graphs
- Data Structures & Algorithms in Python: Implementing Data Structures
- Data Structures & Algorithms in Python: Fundamental Data Structures
- Conditional Statements & Loops: Advanced Operations Using for Loops in Python
- Conditional Statements & Loops: While Loops in Python
- Functions in Python: Introduction
- Conditional Statements & Loops: The Basics of for Loops in Python
- Functions in Python: Gaining a Deeper Understanding of Python Functions
- Functions in Python: Working with Advanced Features of Python Functions
- Getting Started with Python: Introduction
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Complex Data Types in Python: Shallow & Deep Copies in Python
- Conditional Statements & Loops: If-else Control Structures in Python
- New Developments in Python
- QlikView: Dimensional Modeling
- Graph Modeling on Apache Spark: Working with Apache Spark GraphFrames
- Big Data Concepts: Big Data Essentials
- Techniques for Big Data Analytics
- Spark for High-speed Big Data Analytics
- Organizational IT Trends, Analytics, and Application Development
- Big Data Concepts: Getting to Know Big Data
- Concepts & Conceptual Design
- Logical Design
- Logical & Physical Design
- Normalization Concepts & Forms
- Creating a Conceptual Design
- Getting Started with Prompt Engineering
- An Introduction to Generative AI Concepts
- Scrum Sprint: Retrospective
- Scrum Sprint: Review
- Agile Principles and Methodologies
- AWS Cloud Practitioner 2020: Cloud and the Value Proposition
- AWS Cloud Practitioner 2020: Cloud Economics
- AWS Cloud Practitioner 2020: Cloud Architecture Design Principles
- AWS Cloud Practitioner 2020: Cloud Security & Compliance
- AWS Cloud Practitioner 2020: Access Management
- AWS Cloud Practitioner 2020: Security Support Resources
- AWS Cloud Practitioner 2020: Cloud Deployment & Operation
- AWS Cloud Practitioner 2020: Core Services
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