This course provides students with the knowledge and skills to maintain a Microsoft SQL Server database. The course focuses on teaching individuals how to use SQL Server product features and tools related to maintaining a database.
Attendees to MS-6231: Maintaining a Microsoft SQL Server Database will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
Installing and Configuring SQL Server
Managing Databases and Files
Disaster Recovery
Managing Security
Transferring Data
Automating Administrative Tasks
Implementation Replication
Maintaining High Availability
Monitoring SQL Server
Troubleshooting and Performance Tuning
Prerequisites:
None
Comments
Latest comments from students
User: angelangeles
Instructor comments: Clay was knowledgeable instructor with enough experience to make subject matter relatable to real world usage.
The Microsoft platform is arguably the largest component in any IT architecture, and rate of change in this arena makes training in the Microsoft platform a must. TechNow can and does teach the entire gamut of Microsoft technologies, from Servers to application development.
Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.
TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.
Attendees to AZ-204:Developing Solutions for Microsoft Azure will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Course Duration: 5 days
Course Outline:
Creating Azure App Service Web Apps
Implement Azure functions
Develop solutions that use blob storage
Develop solutions that use Cosmos DB storage
Implement laaS solutions
Implement user authentication and authorization
Implement secure cloud solutions
Implement API Management
Develop App Service Logic Apps
Develop event-based solutions
Develop message-based solutions
Monitor and optimize Azure solutions
Integrate caching and content delivery within solutions
Through an introduction to Docker, Kubernetes, and Red Hat OpenShift Platform, this training course helps you understand one of the key tenets of the DevOps and DevSecOps Platform (DSOP) movement: continuous integration and continuous deployment. The CI/CD pipeline becomes well understood and implemented in an open architecture. Containers have become a key technology for the configuration and deployment of applications and micro services. Kubernetes is a container orchestration platform that provides foundational services in Red Hat OpenShift Container Platform, which allows enterprises to manage container deployments and scale their applications using Kubernetes.
This training course provides an overview of the DoD Enterprise DevSecOps Platform (DSOP) Reference Design, its current state, and ties to DoD Cloud Platform One (P1). Workflows of the DoD Iron Bank container repository are introduced, along with an overview of the DoD Pipeline as represented in Big Bang. Continuous authorization cATO via Party Bus within NIST RMF is presented. You will become aware of the Platform One (P1) integrations and relationship to Docker, Kubernetes, Istio (Red Hat OpenShift Service Mesh) and Red Hat OpenShift Platform.
In addition to gaining an understanding of these tools, you will build core administration skills through the installation, configuration, and management of an OpenShift cluster and containerized applications.
Course Objectives:
Learn about Containers, Docker, Kubernetes, and OpenShift architecture
Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.
The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.
Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value
By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.
Course Objectives:
•MLOps Principles: Model life cycle management for scalable, production-ready AI •Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives •AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization •AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions •Change Management: Workforce enablement and stakeholder alignment •KPI Development: AI metrics, success indicators, and executive dashboards •AI Governance: Risk, ethics, compliance, and responsible AI principles •Vendor Evaluation: AI platform and tool selection aligned with enterprise needs
Dates/Locations:
No Events
Prerequisites:Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed.