Technical Training

This course maps to the CompTIA Security+ certification exam (SY0-701) and establishes the core knowledge required of any cybersecurity role, as well as providing a springboard to intermediate-level cybersecurity jobs.

In this course, you will learn how to manage and operate automatable and repeatable deployments of networks and systems on AWS.

CompTIA Cloud+ shows you have the expertise needed to deploy and automate secure cloud environments and protect mission-critical applications and data.

This course introduces tools and tactics to manage cybersecurity risks, identify various types of common threats, evaluate the organization's security, collect and analyze cybersecurity intelligence, and handle incidents as they occur.

In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service.

In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service.

In this course, you will apply data lake methodologies in planning and designing a data lake, articulate the components and services required for building an AWS data lake, secure a data lake with appropriate permission, ingest, store, and transform data in a data lake and query, analyze, and visualize data within a data lake.

In this course, you will learn how to leverage AWS data Services to store, process, analyze, stream, and query data to make decisions with speed and agility at scale, how to modernize data solutions end to end, and obtain skills to put your data to work to make better, more informed decisions, respond faster to the unexpected, and uncover new opportunities.

In this course, you will learn new concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS.

Using Data Analysis Expressions to solve common business problems in Power BI

This course teaches concepts by deep-dive on-hand exercises. Throughout the course, you will learn data wrangling with hands-on exercises and activities. You’ll find checklists, best practices, and critical points mentioned throughout the lessons, making things more interesting.

In this course you will describe key database concepts in the context of SQL Server, characterize database languages used in SQL Server, describe data modeling techniques, discuss normalization and denormalization techniques, distinguish relationship types and effects in database design, describe the effects of database design on performance, and define commonly used database objects.

In this course you will authenticate and authorize users, assign server and database roles, authorize users to access resources, use encryption and auditing features to protect data, describe recovery models and backup strategies, backup and restore SQL Server databases, automate database management, configure security for the SQL Server agent, manage alerts and notifications, managing SQL Server using PowerShell, trace access to SQL Server, monitor a SQL Server infrastructure, and import and export data.

In this course you will, create sophisticated SSIS packages for extracting, transforming, and loading data, use containers to efficiently control repetitive tasks and transactions, configure packages to dynamically adapt to environment changes, use Data Quality Services to cleanse data, successfully troubleshoot packages, create and manage the SSIS Catalog, deploy, configure, and schedule packages, secure the SSIS Catalog.

In this course, you will create single table SELECT queries, create multiple table SELECT queries, insert, update, and delete data, query data using built-in functions, create queries that aggregate data, create subqueries, create queries that use table expressions, use UNION, INTERSECT, and EXCEPT on multiple sets of data, implement window functions in queries, use PIVOT and GROUPING SETS in queries, use stored procedures in queries, add error handling to queries, and use transactions in queries.

In this course, you will learn to accelerate the process to prepare, build, train, deploy, and monitor ML solutions using Amazon SageMaker Studio.

In this course, you will learn how to use the AWS SDK to develop secure and scalable cloud applications using multiple AWS services such as Amazon DynamoDB, Amazon Simple Storage Service, and AWS Lambda. You explore how to interact with AWS using code and learn about key concepts, best practices, and troubleshooting tips.

In this course, you will practice and deploy serverless solutions on AWS.

In this course, you will learn how to use the combination of tools, practices, and cultural philosophy of DevOps to improve an organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS.

Students who attend this course will leave armed with new skills to leverage modules, scale applications into multi-core environments, and improve the performance of Java 9 applications. This course will teach students everything they need to successfully master and implement the latest features and benefits of Java 9 and become a more effective Java 9 developer.