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.
The Microsoft AI-901 (Azure AI Fundamentals) certification course serves as an entry-level program designed to provide a fundamental understanding of Artificial Intelligence (AI) and its applications within the Azure ecosystem.
Our one-day certification training is aimed at individuals who want to demonstrate their knowledge of machine learning and artificial intelligence (AI) concepts and their familiarity with associated Microsoft Azure services. In this course, trainees will learn how to use Azure services to create machine learning, computer vision, natural language processing, and conversational AI solutions through practical activities. This course is intended for individuals with both technical and non-technical backgrounds.
This course provides comprehensive preparation for the AI-901: Microsoft Azure AI Fundamentals exam, leading to the Microsoft Certified: Azure AI Fundamentals certification.
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.
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 provides comprehensive preparation for the GH-600 Agentic AI Systems Development exam for the GitHub Certified: Agentic AI Developer certification.
Discover how to work smarter with Copilot in Microsoft Fabric. Learn how to integrate, transform, and store your data, and then create relevant reports and analyses faster, thanks to Copilot’s assistive capabilities in Microsoft Fabric.
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.
Learn about Microsoft Security Copilot, 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 course will show you how to administer, secure, and govern AI agents in Microsoft 365 using Microsoft Agent 365, leveraging agent discovery, identity governance, data protection, and threat monitoring within the Microsoft 365 admin experience. You will learn how to control agent access and permissions with Microsoft Entra, enforce data protection safeguards with Microsoft Purview, and monitor inventory, usage, exceptions, and risk signals to ensure agents function as intended and do not expose the organization to risk.
This course will show you how to structure and manage your sales process with Dynamics 365, while leveraging native integration with Microsoft 365 and Power Platform. You will learn how to effectively manage accounts and contacts, qualify and track leads, and manage opportunities and the pipeline within Dynamics 365 Sales to improve sales visibility, collaboration, and team performance.
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.
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.
EC-Council’s Certified Offensive AI Security Professional (COASP) program is a comprehensive certification course designed to transform cybersecurity professionals into enterprise-ready AI red teaming specialists. It develops the offensive skills needed to test, exploit, and secure AI systems deployed in real-world environments—LLM, applications, agents, APIs, integrations, and data pipelines—by applying a structured “recon → exploit → defend” methodology. The program emphasizes AI-specific attack vectors (prompt injection, jailbreaking, data poisoning, model mining, agent hijacking) and the ability to demonstrate that controls hold against realistic attacks, thereby reducing operational risk before and after production deployment.
EC-Council’s Certified Responsible AI Governance & Ethics (CRAGE) program is a comprehensive certification course designed to transform experienced professionals into enterprise-ready AI governance leaders. It develops the strategic and operational skills needed to guide, audit, and secure artificial intelligence initiatives in real-world organizations, linking AI adoption to concrete compliance, ethics, and risk management requirements. The program emphasizes audit-ready governance (policies, roles and responsibilities, controls, traceability), risk mitigation (bias, privacy, security, misuse), and value measurement to enable a structured transition from experimentation to scaling, and from pilots to production, with a clear and defensible decision-making framework.
EC-Council’s Artificial Intelligence Essentials (AIE) program is a foundational certification course designed to equip professionals and students with verified AI literacy that can be immediately applied in real-world contexts. It develops the essential skills to understand how AI works, use AI tools effectively, and, most importantly, exercise responsible judgment regarding the results generated (quality, limitations, biases, risks, and privacy).
The program emphasizes mastering the fundamentals (concepts, use cases, and building blocks of AI), practical application (including labs focused on tools, prompt crafting, automation, and deepfake detection), and ethical and security adoption (responsible AI, privacy, and governance). It enables participants to move from an “intuitive” or unstructured use of AI to a structured, critical, and compliant approach, better integrating AI into daily workflows, reducing errors, and preparing them for progression to more advanced AI career paths.
EC-Council’s Certified AI Program Manager (CAIPM) is a comprehensive certification program designed to transform experienced professionals into enterprise-ready AI program managers. It develops the strategic skills needed to adopt, implement, and secure artificial intelligence initiatives in real-world organizations, bridging AI knowledge with business execution. The program emphasizes aligning AI with strategy, people, governance, risk management, and ROI measurement to enable a structured transition from strategy to execution, responsible adoption to scaling, and pilots to production.
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