Azure, Microsoft 365, Power Platform, Security, Dynamics 365, SharePoint and more.
Microsoft Copilot, Copilot Studio, Azure AI, AI agents and machine learning.
Azure management and security, cloud administration and compliance.
CISSP, CISM, CISA, CCSP, SSCP, plus cybersecurity fundamentals and awareness.
Windows Server, Linux, Cisco CCNA and VMware vSphere.
A+, Network+, Security+, Cloud+, CySA+, PenTest+ and the rest of the CompTIA range.
PMBOK, PRINCE2, ITIL 4, Agile and Scrum.
VMware vSphere 8.0 and vSphere 6.7.
Cisco CCNA 200-301.
Google Workspace for end users.
For people who administer, design, build and use cloud and on-premises infrastructure.
For people who protect identities, data and systems, and who govern security.
For people who build data platforms, analyze data and put AI to work.
For people who run business applications, everyday tools, sites and projects, and who support users.
The Artificial Intelligence Specialist is responsible for implementing, optimizing, and continuously managing AI solutions within the company. This involves developing and integrating machine learning algorithms, training models, as well as implementing AI platforms and tools that enable business process automation. This is a strategic responsibility that allows the company to leverage advanced technologies to increase efficiency and competitiveness.
The professional development programs listed below aim to:
Get started with Microsoft Sentinel security operations by configuring the Microsoft Sentinel workspace, connecting Microsoft services and Windows security events to Microsoft Sentinel, configuring Microsoft Sentinel analytics rules, and responding to threats with automated responses.
This course explores the use of artificial intelligence in the context of GitHub Copilot, a generative AI tool designed for developers. It provides users with essential knowledge and skills to use Copilot effectively while mitigating potential ethical and operational risks associated with AI usage.
This is a course providing comprehensive preparation for the GH-300: GitHub Copilot exam to obtain the certification.
Learn about Microsoft Copilot for Security, an AI-powered security analysis tool that enables analysts to process security signals and respond to threats at a machine speed, and the AI concepts upon which it’s built.
This learning path explores how Azure AI and Azure Machine Learning Services integrations, available through the Azure AI extension for Azure Database for PostgreSQL – Flexible Server, enable you to develop intelligent applications powered by artificial intelligence.
Generative artificial intelligence (AI) is becoming increasingly functional and accessible, with AI agents being a key component of this evolution. This comprehensive training helps you understand AI agents, including when to use them and how to develop them using the Azure AI Foundry Agent service and the Semantic Kernel agent framework. After completing this learning path, you will have the essential skills to develop sophisticated AI agents on Azure.
This course teaches learners how to design, configure, and deploy an intelligent contact center using Dynamics 365 Contact Center and built-in AI capabilities, including Microsoft Copilot and AI agent capabilities, to improve customer experience and agent productivity. Participants learn to set up contact center environments (both integrated and standalone), connect data sources and third-party CCaaS solutions, and configure channels (voice and digital), users, security, workload distribution, and routing strategies to support scalable and effective customer engagement. All of this is done within a framework that adheres to governance, security, and best operational practices.
This course provides comprehensive preparation for the AB-250 exam for the Microsoft Certified: Dynamics 365 Contact Center AI Engineer Associate certification.
This course teaches learners how to design, configure, and govern AI-enhanced sales solutions using Dynamics 365 Sales, Microsoft Copilot, and AI agent capabilities to support salespeople throughout the entire lead-to-cash cycle. Participants learn to translate business requirements into sales-centric, AI-prioritizing workflows to improve productivity, forecast accuracy, and decision-making. All of this is done while adhering to the organization’s revenue goals, governance standards, and responsible AI principles.
This course provides comprehensive preparation for the AB-210: Accelerating Sales Pipelines with AI in Dynamics 365 exam, leading to the Microsoft Certified: Dynamics 365 Sales AI Consultant Associate certification.
This seven-day certification program consists of two parts:
This four-day Microsoft-certified training analyzes business requirements and translates these requirements into fully realized business processes and solutions that implement industry best practices. Gain a fundamental understanding of accounting principles and a deeper understanding of financial operations concerning core finance operations, manufacturing, retail, and supply chain management.
This Microsoft certification course prepares you to design agentic AI solutions aligned with business objectives. You will learn to define use cases, design the target architecture, select relevant Microsoft capabilities, and establish security, governance, and compliance requirements to deploy reliable, production-ready AI solutions.
This two-course path provides comprehensive preparation for the MB-310 and AB-100 exams for the Microsoft Certified: Agentic AI Business Solutions Architect certification.
You can purchase an individual part of this certification track – contact us for the details.
Agentic AI plays a crucial role in accelerating and improving the reliability of modern software development workflows when properly integrated into the SDLC. It enables the automation and orchestration of tasks (analysis, generation, modification, and validation) while producing inspectable artifacts (plans, logs, pull requests, flow results) to maintain control, traceability, and quality. By using GitHub as a reference system and control plane, your team can monitor autonomous behavior, manage permissions and execution environments, and implement guardrails and accountability mechanisms to balance velocity, security, and compliance.
This course provides comprehensive preparation for the GH-600 Agentic AI Systems Development exam for the GitHub Certified: Agentic AI Developer certification.
This comprehensive training enables developers and IT professionals to master the creation and extension of custom copilots with Microsoft Copilot Studio. Participants will learn to design, develop, and deploy conversational AI solutions tailored to their organization’s specific needs. The course covers language model customization, external data source integration, and best practices for creating effective and relevant AI interactions.
Describe what your team needs and we will point you to the right training. You can also see how our solutions lower the cost of every training.