Coding Bootcamp

The Digital Marketing program is designed to help students with an interest in marketing create a portfolio and begin an entry level position in the digital marketing field. The curriculum is a project-based course that blends marketing theory, critical thinking skills, and practical experience to prepare students for an entry-level position in a growth industry. Students will become proficient in advertising platforms such as Facebook, Google, Instagram, Twitter, and LinkedIn.

Back-End Software Developers are in charge of building applications that do the behind-the-scenes work. This typically involves receiving requests from a Front End application, processing the request, reading and writing to a database, and responding back to requests from other applications. If you enjoy working with data, defining and optimizing processes, and knowing how things work behind the scenes, the Back End program may be a great fit for you.

In this 18-week, Back-End Developer Bootcamp, students take three courses to learn the skills and technologies necessary to enter the industry as a Back End Software Developer: Introduction to Java, Relational Databases with MySQL, and Web API Design with Spring Boot.

Skills and technologies learned include Java 1.8, Algorithms, OOP, Design Patterns, Unit Testing, SQL, DDL, DML, Database Concepts, JDBC, Spring Boot, Spring Data, REST, JPA, JWT, AWS, and more.

Gap Assistance is available for those who qualify.

Gap Assistance is available for those who qualify.

In this 26-week course students learn the skills and technologies necessary to become a data engineer.

Skills and technologies include python, OOP, Functional Programming, Hadoop, Cloudera, Spark, Dask, IaaS, AWS, Building Data Lakes, Sqoop, Flume, Kafka, and more.

Gap Assistance is available for those who qualify.

Prerequisite: Eighth-grade reading skills; critical
thinking and problem-solving skills; digital literacy
skills, including the ability to research, create content and solve problems using technology; and Algebra 1

Learn how to responsibly manipulate, analyze and
communicate findings of data analysis. Students will learn data manipulation, general data concepts, data-related laws, and responsible analytics practices.

This course introduces you to the ideas and methods behind computational thinking and algorithms, enabling you to break problems down into smaller pieces and define algorithmic solutions. You will learn software development and other computer-related topics.

Prerequisite: Eighth-grade reading skills, basic
computer skills and Algebra 1

This course is intended for individuals looking to learn Python and prepare for the Pearson IT Specialist Python exam (voucher included with the program).

Prerequisite: Six months of experience with the AWS Cloud in any role, including technical, managerial, sales, purchasing, or financial. Have a basic understanding of IT services and their uses in the AWS Cloud platform.

The AWS Certified Cloud Practitioner course is a launch pad into cloud computing. It covers the fundamental concepts of cloud computing and how it relates to the Amazon Web Services network — the world’s most adopted and most broadly used cloud computing system — and how to apply that knowledge in a huge variety of AWS cloud service situations. This course covers concepts such as global infrastructure, architectural principles, account management, and security. The goal of this course is to provide you with all the tools you need to prepare for the AWS Certified Cloud Practitioner (CLF-C01) exam (voucher included with the program).

Prerequisite: Six months of experience with the AWS Cloud in any role, including technical, managerial, sales, purchasing, or financial. Have a basic understanding of IT services and their uses in the AWS Cloud platform.

Learn the fundamental concepts of AWS uses and services and basic AWS architecture best practices. This certification also covers developing, deploying and debugging AWS cloud-based applications, all in easy-to-follow modules, videos, and hands-on labs.

Prerequisite: At least one year of experience solving problems and implementing AWS services, experience in AWS technology, strong on-premises IT experience, understanding of mapping on-premises technology to the cloud, and experience with other cloud services.

This course prepares you for the AWS Certified Solutions Architect-Associate (SAA-CO3) exam (voucher included with the program) while helping demonstrate knowledge of how to architect and deploy secure and robust applications on AWS technologies. SAA-CO3 focuses on designing secure architectures, designing resilient architectures, designing high-performing architectures, and designing cost[1]optimized architectures.

Prerequisite: Minimum one year professional experience with AWS technology; experience deploying, managing and operating workloads on AWS as well as implementing security controls and compliance requirements; familiarity with using both the AWS Management Console and the AWS Command Line Interface; understanding of the AWS Well-Architected Framework as well as AWS networking and security services.

This is a great next step for anyone who wants to demonstrate baseline AWS Well-Architected Framework knowledge to support and maintain AWS workloads; use AWS monitoring and logging services and remediate issues based on monitoring and availability metrics; implement scalability and elasticity for reliability and business continuity; use AWS services to provision, deploy, maintain, and automate cloud resources; implement and manage security controls to meet compliance policies and requirements; implement, configure and troubleshoot network features and connectivity issues; and identify and implement cost and performance optimization strategies.

Prerequisite: Familiarity with software development and the ability to code.

This program will give you an overview of the current AI landscape, teach you how to integrate AI into your projects and introduce you to creating your own AI models. Tools such as OpenAI, Azure AI Services, Google Vertex AI and Model Garden, TensorFlow, Python, and more are introduced in this program.

You will earn the Microsoft AI-900 Azure AI Fundamentals certification (voucher included with the program) and will be qualified to sit for the AI-102 Azure AI Engineer exam (voucher not included).