COURSES OFFERED BY EXITCERTIFIED

ITIL 4 Leader: Digital and IT Strategy is the final module to launch from the ITIL 4 certification scheme and completes the ITIL 4 Strategic Leader designation. ITIL 4 Leader:

This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy and more.

Building on your skills obtained from the Oracle Cloud Infrastructure Architect Associate Workshop course, explore deeper into the Oracle Cloud Infrastructure services to design and implement a secure and scalable cloud solution that meets HA and DR requirements.

Blockchain has come a long way since the early days of Bitcoin. The world’s largest internet messaging companies are racing to develop cryptocurrencies that are expected to launch with widespread trust and acceptance. And the list of possible use cases goes well beyond payments.

Architecting on AWS covers the fundamentals of building IT infrastructure. This three-day course is ideal for IT professionals who want to learn how to optimize the use of the AWS cloud by understanding AWS services and how they fit together into cloud-based solutions.

This course teaches IT Professionals how to manage their Azure subscriptions, secure identities, administer the infrastructure, configure virtual networking, connect Azure and on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines.

This course will familiarize you with Google Cloud's flexible infrastructure and platform services, with a specific focus on Compute Engine.

Use the SAP HANA cockpit to perform emergency troubleshooting, the SAP HANA traces to investigate for costly statements and to setup SAP HANA workload management and SAP HANA capture and replay tools.

This course will prepare you to develop reports, Create selections screens to enter restrictions for data retrieval and Implement the retrieval for data stored on one or multiple.

Taking ML models from conceptualization to production is typically complex and time-consuming. You have to manage large amounts of data to train the model, choose the best algorithm for training it, manage the compute capacity while training it.