Artificial intelligence

This seven-day certification program consists of two parts:

Manage Financial Operations with Dynamics 365 Finance (MB-310T00)

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.

Architecting agentic AI business solutions (AB-100T00)

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.

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Duration: 7 days / 49 hours

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.

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Duration: 1 day / 7 hours

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.

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Duration: 5 days / 35 hours

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.

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Duration: 3 days / 21 hours

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.

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Duration: 2 days / 14 hours

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