Investigate the principles and design of standards-based assessment and instruction for English-language learners and their relationship to English language/literacy development and academic achievement.

This course fulfills the English Language Learner requirement for the Preliminary Credential when taken with X 426.3. Please obtain the approval of your credential program advisor before enrolling.

This course fulfills equity, diversity and access requirement for the Preliminary Credential. Please obtain the approval of your credential program advisor before enrolling.

This online course evaluates current technologies and their applications in the TESOL classroom in urban distance learning and in adult TESOL education. Participants learn strategies for overcoming technophobia.

This online course offers an introduction to the history and construction of language and to the basic linguistic concepts of learning a second language.

This course presents an intensive consideration of culture and diversity, impacts on school classrooms and strategies for diversity inclusiveness.

This practical, online introduction for TESOL educators presents methods and strategies for teaching listening, speaking, reading, and writing skills to English as Second Language learners.

Response to Intervention is an approach to effectively diagnose and support general education students having difficulties learning. This course explores models and strategies currently employed in California schools.

This course provides a hands-on introduction to the architecture, deployment, and management of Amazon Web Services (AWS).

This hands-on course helps you use predictive analytics for improving business performance using techniques such as data mining, statistics, modeling, machine learning, and artificial intelligence.

Data governance is an integrated framework of policies and technology applied to ensure effective data management. This course will help students to gain an understanding of various components that allow an enterprise to manage data.

Learn machine learning origins, principles, and practical applications, as well as implementation via the Python programming language. Students will learn to train a model, evaluate its performance, and improve its performance.

Learn tools for distributed data storage and large data set processing. This course focuses on architectures and technologies, including NoSQL and Hadoop.

Learn the iterative process of exploratory data analysis (EDA), data analysis techniques, data exploration, and visualization. Course tools include R for data analysis and Tableau for data visualization.

This course covers the key knowledge domains in data science, including data development and management, machine learning and natural language processing, statistical analysis, data visualization, and inference.

This hands-on course introduces core defensive strategies for various environments and explores remediation strategies for thwarting attacks.

This hands-on course explores common and specialized security tools for penetration assessments. Students will have the opportunity to create their own custom tool or an extension to a known tool.

The class will examine relevant policies and regulations along with auditing practices. Topics covered include auditing standards and ethics, privacy, intellectual property, and legal issues in cyberspace.

This course delivers a step-by-step methodology for securing any infrastructure through enhanced defenses to the core components of networks and databases.

As a creative professional, familiarize yourself with the transformative potential of AI.