Provides an overall understanding of cloud computing concepts, independent of specific technical roles. Covers cloud concepts, Amazon Web Services (AWS) core services, security, architecture, pricing, and support. Helps students prepare for the AWS Certified Cloud Practitioner exam.

Covers the fundamentals of building IT infrastructure on Amazon Web Services (AWS). Teaches solutions architects how to optimize the use of the AWS Cloud by understanding AWS services and how they fit into cloud-based solutions. Emphasizes best practices and recommends design patterns to help with the process of architecting optimal IT solutions on AWS. Helps students prepare for the AWS Certified Solution Architect - Associate exam.

Provides details on how to solve problems and troubleshoot various scenarios in the Amazon Web Services (AWS) Cloud. Shows students how to create automatable and repeatable deployments of networks and systems on AWS and covers features and tools for configuration and deployment. Includes the opportunity to build infrastructures via guided, hands-on activities. Prepares students to pursue entry-level DevOps, support, and cloud operations roles.

Focuses on how to assess the value of IT investments and align technical strategies with business strategies. Introduces Porter's Five Forces Model, the value chain, technology payoff metrics, and risk analysis. Explores ways to leverage disruptive technologies for competitive advantage.

Applies common frameworks and methodologies to the examination of enterprise system architecture needs. Includes coverage of the systems development life cycle and the methodologies in use characterized by their varying degrees of iteration, structure, and user involvement. Emphasizes analytical and design concepts and related tools such as use cases and Unified Modeling Language.

Learn and apply the fundamentals of relational database modeling and database management systems technology in the development of business information systems. Encompasses entity/relationship diagrams, relational theory, normalization, integrity constraints, the Structured Query Language (SQL), and physical and logical design. Students will also be exposed to core concepts and tools associated with data warehousing.

Provides an introduction to object-oriented programming and the core principles of Python. Covers fundamental coding concepts like variables, algorithms, and data structures and allows for the practice of creating Python functions and applications in the cloud. Introduces agile software development and other processes that are widely used to develop applications in the technology sector.