Earn a Bachelor's Degree in Cloud Computing — Hybrid or Fully Online

• Understand cloud dynamics and leadership strategies for organizational impact
• Develop skills in cloud product management, pricing analysis, and customer communication
• Learn to manage and secure enterprise-scale cloud deployments while ensuring compliance with best practices like the AWS Well-Architected Framework

• Master modern skills and tools used by data analysts daily
• Learn data visualization using Excel and business intelligence (BI) tools like IBM Cognos Analytics & Tableau
• Develop Python skills for data analysis with libraries like Pandas and Numpy, and work with APIs and web services
• Gain technical experience through hands-on labs and projects, building a portfolio to showcase your work

• Master the latest practical skills and knowledge used by data engineers
• Learn to create, design, and manage relational databases
• Develop skills in data management systems including Cassandra, Cloudant, Apache Spark, and Spark Streaming
• Prepare and analyze data to find and share actionable insights

• Master practical skills and tools used by full-stack developers daily
• Learn to deploy and scale applications using Cloud Native tools like Containers, Kubernetes, Microservices, and Serverless
• Develop software using front-end languages like HTML, CSS, JavaScript
• Build your GitHub portfolio with hands-on projects, including a capstone project

• Acquire key skills for entry-level IT roles, covering tasks like computer assembly, wireless networking, program installation, and customer service

• Develop expertise in end-to-end customer support, from problem identification to troubleshooting and debugging

• Master key systems such as Linux, Domain Name Systems, Command-Line Interface, and Binary Code, enhancing your technical capabilities for IT support roles

• Understand the daily practices and processes of a junior data analyst
• Learn essential analytical skills and tools like data cleaning, analysis, and visualization using spreadsheets, SQL, R programming, and Tableau
• Master data cleaning, organization, analysis, and visualization techniques for dashboards and presentations

In this introductory course, students will:

• Explore AWS services and technologies, and how they can support businesses across the globe
• Build on the AWS Management Console
• Examine successful cloud implementations, and apply their knowledge to cloud-based scenarios

Extending upon the concepts from AWS Academy Introduction to Cloud: Semester 1, students will:

• Continue to explore cloud computing services, applications, and use cases
• Dive deeper into cloud computing best practices
• Learn how the cloud helps users develop a global infrastructure at scale by leveraging innovative technologies

This intermediate-level course covers the fundamentals of building IT infrastructure on AWS and helps students gain the skills they need to pursue the AWS Certified.

This intermediate-level course will prepare students to:

• Pursue in-demand DevOps, support, and cloud operations roles at the entry-level
• Prepare for the AWS Certified SysOps Administrator – Associate exam
• Learn how to troubleshoot various scenarios and automate deployments of networks and systems on AWS

This intermediate-level course is designed for students who are pursuing careers that require machine learning knowledge. Students will:

• Learn how to describe the terms in the natural language processing (NLP) ecosystem
• Identify how to use NLP in business
• Indicate the range of problems, tasks, and solutions with NLP

This introductory course introduces students to the concepts and terminology of artificial intelligence (AI) and machine learning (ML). Students will:

• Learn how to select and apply ML services to resolve business problems
• Label, build, train, and deploy a custom ML model