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:
Possible certifications upon completion of training:
Additionally, numerous Microsoft Applied Skills competencies for Copilot and Azure can be acquired to demonstrate AI expertise.
Natural language processing solutions leverage advanced linguistic models to analyze and interpret the semantic meaning of written and spoken language, enabling the generation of contextually appropriate responses. Through the Azure AI Language service, you can develop custom models for your applications, while Azure AI Foundry provides access to powerful generative models for speech recognition and intelligent language processing.
Secure AI solutions in the cloud by configuring your AI workloads, applying cloud-native protections, and strengthening your security outcomes with identity controls. You’ll see how AI workloads authenticate, how to define trust boundaries, and how to mitigate risk by combining security posture and workload protection with Microsoft Defender for Cloud and Microsoft Foundry. You’ll then learn how to extend and harden these protections with Microsoft Entra, designing and enforcing identity and access controls consistent with your initial security choices.
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 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.
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.