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This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials. The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

This course covers network defense and incident response methods, tactics, and procedures that are in alignment with industry frameworks such as NIST 800-61r2 (Computer Security Incident Handling Guide), US-CERT's National Cyber Incident Response Plan (NCIRP), and Presidential Policy Directive (PPD)-41 on Cyber Incident Coordination, NIST 800.171r2 (Protecting Controlled Unclassified Information in Nonfederal Systems and Organizations). It is ideal for candidates who have been tasked with the responsibility of monitoring and detecting security incidents in information systems and networks, and for executing standardized responses to such incidents. The course introduces tools, tactics, and procedures to manage cybersecurity risks, defend cybersecurity assets, identify various types of common threats, evaluate the organization's security, collect and analyze cybersecurity intelligence, and remediate and report incidents as they occur. This course provides a comprehensive methodology for individuals responsible for defending the cybersecurity of their organization.This course is designed to assist students in preparing for the CertNexus CyberSec First Responder (Exam CFR-410) certification examination. What you learn and practice in this course can be a significant part of your preparation.Purchase of this course includes the associated exam voucher.

Data Science is the critical skill of the modern workforce. Data science skills allow for the extraction of key insights and relevant knowledge from large datasets. This data science training course is for Python developers who want to learn how to use the key libraries in the Python Data Science ecosystem. This course covers NumPy for numerical data processing, Pandas for data analysis, and Matplotlib and Seaborn for quick visualizations and statistical reporting. The training is all conducted in a modern Jupyter Notebook format, allowing students to read and write code directly within our training notebooks.You’ll learn everything you need to know for the full data science tech stack required to work at the world’s top companies. This Python for Data Science course takes a structured approach that will guide you through understanding not just how to use data science, but why we use them by providing a balance between practical real world case studies and mathematical theory behind the data science algorithms.Please note, this course is able to be offered in either 3 full day sessions or 5 evening sessions. See the schedule below.This course includes 6-months access to the full course content in on-demand format to support post-class reference and review.

This course will teach the basics of Microsoft's dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics.

This course provides an introduction to supervised models, unsupervised models, and association models. This is an application-oriented course and examples include predicting whether customers cancel their subscription, predicting property values, segment customers based on usage, and market basket analysis.

This course teaches IT Professionals to configure advanced Windows Server services using on-premises, hybrid, and cloud technologies. The course teaches IT Professionals how to leverage the hybrid capabilities of Azure, how to migrate virtual and physical server workloads to Azure IaaS, and how to secure Azure VMs running Windows Server. The course also teaches IT Professionals how to perform tasks related to high availability, troubleshooting, and disaster recovery. The course highlights administrative tools and technologies including Windows Admin Center, PowerShell, Azure Arc, Azure Automation Update Management, Microsoft Defender for Identity, Azure Security Center, Azure Migrate, and Azure Monitor.

In this course, students will apply recognized practices of project management and understand a project’s life cycle and roles and skills necessary to effectively initiate, plan, execute, monitor and control, and close a project.

The CRISC course is designed for those who have experience with risk identification, assessment, and evaluation; risk response; risk monitoring; information systems control design and implementation; and information systems control monitoring and maintenance.

In this course, students will create a basic report by connecting to a database and modifying the report's presentation.

CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making.

Design secure cloud solutions to data management with AWS Architecting. Learn how to design and build scalable solutions, as well as best practices and optimization recommendations with our AWS Architecting training courses.

Our AWS Developer training courses ensure you have the skills to succeed, both on the exam and in a professional environment. Learn how to configure SDKs and IDE toolkits and understand Deep Learning models.

Use this journey to develop your skills to build simple reports to complex reports, and learn how to create active reports which are available offline from the enterprise data source.

Use this journey to develop your skills in designing models using OLAP cubes, Dynamic Cubes, or relational data sources, and continue your development to design Scorecards.

Mainframe Application Developers create and support computer code used in the organization’s mainframe systems to perform business functions. This includes assisting with the design, coding, and testing of computer programs, analyzing and resolving programming issues, and supporting the business to ensure application programs work as required. Mainframe Application Developers are found in a variety of industries including but not limited to Health Care, Insurance, Retail, Transportation, etc.

System/Computer Operators oversee the systems ensuring all computers are running correctly. This role monitors and controls system console messages, processes and resolves job processing problems performs system backups, maintains peripheral devices, and performs disaster recovery procedures. This role commonly functions within a Data Center.

Systems Programmers program computer system software, including, but not limited to installing and maintaining the system software, managing the installation, performing overall maintenance, tuning, and resolving problems regarding the operating system. The systems programmer provides software and software platforms and administers IBM Mainframes.

ITIL® 4 Foundation introduces the management of modern IT-enabled services, to provide an understanding of the common language and key concepts, and to show how organizations and work can improve with the ITIL® 4 guidance.

Get an introduction to the key principles of service strategy, and learn about the service strategy processes. Discover the importance of governance and related frameworks, and examine implementation considerations and approaches, including organizational design, the role of technology, and service automation.

With LearnQuest's Core Java Curriculum, you'll build your core java skills including Micro Services, REST, and database access. Then you can choose the Spring Framework and/or Web Development Learning Journeys to continue building your skills.