The Continuous Testing in DevOps course is a practical 2–3 day program designed to help QA professionals and engineers integrate automated testing seamlessly into CI/CD pipelines. This training covers the core principles of shift-left testing, test automation strategy, quality gates, test orchestration, and toolchain integration within DevOps workflows. Participants will explore how continuous testing accelerates releases, improves product quality, and enhances collaboration between development, QA, and operations teams. Through hands-on exercises and real-world pipeline scenarios, learners gain the skills to design efficient, scalable, and reliable continuous testing setups aligned with modern DevOps practices.
Control M9 is a comprehensive course that focuses on providing students with the skills and knowledge necessary to successfully design, configure, and manage Control M job scheduling environments. Control M is a leading job scheduling software that allows organizations to automate and manage their business processes, applications, and workflows. The course is designed to provide students with a solid understanding of Control M and its various features and capabilities. It covers topics such as job scheduling concepts, Control M architecture, job definitions, job flows, job monitoring, job scheduling, and more. The course is suitable for both beginners and experienced professionals who are looking to expand their skills and knowledge in Control M job scheduling.
The Copado Training program is an intensive 2–3 day course designed to help Salesforce professionals master DevOps automation using Copado, the leading Salesforce-native DevOps platform. This course provides in-depth, hands-on training in building CI/CD pipelines, managing automated testing, and streamlining deployment processes across Salesforce environments. Through real-world labs and guided walkthroughs, you’ll learn how to optimize your Salesforce development lifecycle, reduce release times, and increase deployment reliability—all within the Copado ecosystem.
The Credit Risk course is designed to provide a comprehensive understanding of the concepts, tools, and techniques used in credit risk analysis and management. The course covers a range of topics, including how to assess credit risk, how to measure credit risk, and how to manage credit risk in a portfolio. Upon completing the course, participants will have a good understanding of credit risk management and analysis. Upon completing the course, participants will have a good understanding of how to identify, assess, and manage credit risk in financial institutions. They will also be able to develop credit scoring models, manage credit portfolios, and mitigate credit risk. Overall, the Credit Risk course is an excellent choice for professionals working in the financial industry, including risk managers, credit analysts, and credit officers. The course provides valuable skills and knowledge that can be applied to a range of industries and business sizes, including banking, insurance, and investment management.
CrowdStrike is a popular cybersecurity company that provides a range of services and solutions to help businesses protect themselves from cyber threats. The CrowdStrike course is designed to teach students how to use the CrowdStrike Falcon platform to secure their networks and systems. The course typically covers topics such as threat detection and prevention, incident response, endpoint protection, and threat intelligence. CrowdStrike's clients include organizations of all sizes and industries, from small businesses to large enterprises, as well as government agencies. The company has received numerous awards and accolades for its innovative approach to cybersecurity and its commitment to customer service. Students will learn how to use the Falcon platform to identify and respond to cyber threats, as well as how to implement best practices for cybersecurity.
The Certified Scrum Product Owner (CSPO) course is designed to teach individuals how to effectively manage and prioritize product backlogs in an agile development environment using the Scrum framework. The course covers the key concepts, principles, and practices of Scrum, as well as the role of the Product Owner within a Scrum team. Participants have access to a network of certified Scrum trainers and fellow CSPOs, providing ongoing support and resources as they continue to apply Scrum principles and practices in their work. Upon completion of the CSPO course, participants are eligible to take the CSPO certification exam, which is administered by the Scrum Alliance. Certified CSPOs are recognized for their knowledge and expertise in Scrum product development, and are equipped to lead successful agile teams and deliver high-value products to customers. The CSPO course is an essential program for anyone involved in product development and management in an agile environment. With a comprehensive curriculum covering the principles and practices of Scrum, as well as practical skills and tools for managing product backlogs, participants are equipped with the knowledge and expertise needed to succeed as Certified Scrum Product Owners.
Cypress is an open-source end-to-end testing framework used for testing web applications. It is designed to simplify the process of creating and running automated tests and can be integrated with various continuous integration (CI) and continuous deployment (CD) tools. It provides a complete testing solution for front-end developers by allowing them to write automated tests in JavaScript, run those tests in a browser, and get instant feedback on their application’s functionality. Cypress is designed to be easy to use and provides a powerful set of features for testing web applications. The Cypress course covers all the essential aspects of using Cypress for testing web applications, from installation and configuration to advanced topics and best practices. By taking the course, students can gain the skills and knowledge needed to write effective Cypress tests and automate testing in a CI/CD pipeline.
Data Vault & Modeling Trainings is a 16–20 hour program designed to build deep, practical knowledge in Data Vault 2.0 methodology, a modern data modeling approach optimized for agility, scalability, and auditability in data warehousing environments. This course combines theory with hands-on practice to help participants master data modeling techniques, implement Data Vault structures, and apply best practices for enterprise data architecture. Participants will start with the foundational concepts of Data Vault 2.0 — including hubs, links, satellites, and the separation of raw and business data layers. The course then progresses into implementation strategies, automation considerations, and real-world deployment in cloud and hybrid environments. Key focus areas include handling change data capture (CDC), ensuring data lineage and traceability, and aligning Data Vault with business requirements and BI/reporting use cases. This training is ideal for data architects, modelers, warehouse developers, and anyone involved in building modern, scalable data platforms.
A data warehouse is a system used to store and manage large volumes of data collected from various sources in an organization. It is designed to support business intelligence activities such as data analysis, reporting, and decision-making. A data warehouse collects, integrates, and transforms data from various sources into a consistent format for analysis and reporting. The course of data warehousing teaches students how to design, implement, and manage data warehouses. It covers various topics such as data modeling, ETL (Extract, Transform, Load) process, data architecture, data quality, and performance tuning. The course also provides a deep understanding of the technologies and tools used for data warehousing such as SQL Server, Oracle, IBM, and Hadoop.
The DBT Analytics Engineering course is a 24-hour practical training program designed to equip data professionals with the skills to transform and manage analytics data pipelines using dbt (data build tool) — the leading open-source tool for modern data transformation. This course teaches you how to model, test, and document your data in a scalable and version-controlled environment. You’ll learn best practices in analytics engineering, including modular SQL development, lineage tracking, and CI/CD for data workflows. Through hands-on labs and real-world projects, you’ll leave the course ready to support fast, reliable, and collaborative analytics pipelines in cloud data warehouses like Snowflake, BigQuery, Redshift, or Databricks.
