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- Agile Foundations: Fundamentals
- Product Management: An Overview
- Expanding Your Digital Mindset
- Connecting with the Internet of Things
- Big Data Concepts: Big Data Essentials
- Blockchain & Hyperledger Fabric: An Overview of Blockchain Technology
- Rethinking Business Models to Enable Digital Transformation
- Cybersecurity and Networking Fundamentals
- Driving Change: A Playbook of Best Practices for a Digital Transformation
- Creating Engagement with Virtual Reality
- Machine & Deep Learning Algorithms: Introduction
- Understanding Augmented Reality in Business
- Defining Cloud Computing for Decision-makers: Cloud Computing Principles
- Fundamentals of AI & ML: Introduction to Artificial Intelligence
- Academy Accreditation - Generative AI Fundamentals
- Academy Accreditation - Databricks Lakehouse Fundamentals
- Getting Started with Python: Introduction
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Conditional Statements & Loops: The Basics of for Loops in Python
- Cloud Data Platforms: Cloud Computing
- Using Basic Formulas in Excel 2019 for Windows
- AWS Cloud Practitioner 2020: Cloud & the Value Proposition
- Formatting Data in Excel 2019<br> for Windows
- Inserting & Manipulating Data in Excel 2019 for Windows
- Creating & Saving Workbooks in Excel 2019 for Windows
- Getting Started in Excel 2019 for Windows
- Introduction to AWS Services
- GNU & Unix Commands
- Database Fundamentals: Understanding Relational Database Management Systems
- Shell Scripting
- Big Data Concepts: Getting to Know Big Data
- Introduction to Bash Scripting
- Bash Scripting Flow Control & Data Types
- Automation Using Bash & Expect
- Bash Advanced Scripting & File I/O
- Advanced GNU & Unix Commands
- Cloud Data Platforms: Cloud-based Applications & Storage
- Cloud Data Platforms: AWS, Azure, & GCP Comparison
- CompTIA Server+: Servers & Cloud Computing
- Python Development: Creating Classes, Handling Errors, & Importing Modules
- Python Classes & Inheritance: Introduction
- Querying & Manipulating Data
- SQL 2016 Tables
- Designing & Implementing Views
- Data Integrity & Constraints
- Working with Functions, Times, Dates, & Intervals
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