Question 1

What IT and Infrastructure AI training courses does JBI Training offer?

Accepted Answer

JBI Training offers three specialist IT and Infrastructure AI courses designed for enterprise IT teams managing AI deployment. Available courses are Enterprise Microsoft Copilot Deployment (one day), MLOps: AI Deployment Pipeline (one day), and AI Governance Tooling (one day). All courses are available as scheduled classroom sessions in London, as live online instructor-led training, or as customised onsite programmes delivered at your organisation's premises. Each course can be tailored to your organisation's specific infrastructure, security policies, and technology stack.

Question 2

Who are these IT and Infrastructure AI courses designed for?

Accepted Answer

The courses are designed specifically for IT professionals who are responsible for deploying, integrating, securing, and managing AI technologies within an enterprise environment — rather than for end users or data scientists. This includes IT administrators configuring Microsoft 365, Azure, and identity services for AI workloads; infrastructure engineers designing scalable environments to support AI services; security and identity teams implementing governance, access controls, and Zero Trust principles for AI deployments; systems engineers integrating AI platforms with existing enterprise applications and infrastructure; cloud engineers deploying and managing Azure AI services; and IT leaders and infrastructure managers developing AI deployment strategies and governance frameworks.

Question 3

What does the Enterprise Microsoft Copilot Deployment course cover?

Accepted Answer

The Enterprise Microsoft Copilot Deployment course is a one-day practical programme for IT administrators and infrastructure professionals responsible for deploying Microsoft 365 Copilot across an organisation. It covers Microsoft 365 readiness assessment and configuration, identity and access management using Microsoft Entra ID, licensing management and user entitlement, data governance and sensitivity labelling to control what Copilot can access, security and compliance configuration, network and connectivity requirements, and planning and executing a phased Copilot rollout. The course focuses on the practical configuration and deployment steps rather than on end-user productivity features, and is delivered by experienced infrastructure practitioners who deploy enterprise AI solutions professionally.

Question 4

What does the MLOps: AI Deployment Pipeline course cover?

Accepted Answer

MLOps (Machine Learning Operations) is the discipline of deploying, managing, monitoring, and maintaining machine learning models and AI systems in production environments — applying DevOps principles to the AI and machine learning lifecycle. JBI's one-day MLOps: AI Deployment Pipeline course covers the end-to-end AI deployment lifecycle from an infrastructure and operations perspective, including AI model packaging and containerisation, deployment pipeline design and automation, integrating AI workloads with CI/CD toolchains, infrastructure requirements for running AI models at scale, monitoring model performance and data drift in production, and incident response and operational best practices for AI systems. It is suited to infrastructure engineers, cloud engineers, and systems engineers who are responsible for the operational reliability of AI services in production.

Question 5

What does the AI Governance Tooling course cover?

Accepted Answer

The AI Governance Tooling course is a one-day programme covering the tools, frameworks, and technical controls used to govern AI systems within an enterprise. It covers AI governance requirements from a regulatory and organisational policy perspective, technical tooling for implementing governance controls — including audit logging, model explainability tools, bias detection, and access control frameworks — data protection and compliance requirements for AI workloads, integrating governance tooling into AI deployment pipelines, and monitoring and reporting on AI system behaviour to satisfy internal and external governance obligations. It is relevant for security teams, compliance professionals, IT managers, and infrastructure architects who need to ensure AI systems operate safely, transparently, and in accordance with regulatory requirements.

Question 6

What is Zero Trust security and why is it relevant to enterprise AI deployment?

Accepted Answer

Zero Trust is a security model based on the principle of never implicitly trusting any user, device, or network — even those inside the corporate perimeter — and instead continuously verifying identity and authorising access based on the minimum permissions required for each specific action. It is particularly relevant to enterprise AI deployment because AI tools such as Microsoft Copilot access sensitive organisational data across Microsoft 365, SharePoint, Teams, and connected services. Without proper Zero Trust controls — including Microsoft Entra ID configuration, Conditional Access policies, sensitivity labelling, and data loss prevention — AI tools can inadvertently expose data to users who should not have access to it. JBI's Enterprise Microsoft Copilot Deployment course covers how to apply Zero Trust principles specifically to enterprise AI deployment.

Question 7

What is the difference between deploying Microsoft Copilot and simply licensing it?

Accepted Answer

Licensing Microsoft Copilot gives an organisation the right to use the product, but does not automatically make it ready for safe, effective enterprise deployment. A proper deployment involves assessing and configuring the Microsoft 365 environment to ensure data is correctly classified and protected before Copilot can access it, setting up identity and access controls so that Copilot respects existing permission boundaries, configuring governance and compliance policies, managing the rollout in phases to different user groups, and establishing monitoring and support processes. Organisations that skip the deployment and governance configuration stage and simply activate Copilot licences run the risk of exposing sensitive data, creating compliance issues, or delivering a poor user experience. JBI's Enterprise Microsoft Copilot Deployment course specifically addresses the gap between licensing and production-ready deployment.

Question 8

How do these IT infrastructure AI courses relate to end-user Copilot training?

Accepted Answer

JBI's IT and Infrastructure AI courses are complementary to, but entirely separate from, the end-user Microsoft Copilot training courses in JBI's curriculum. The end-user courses — such as Microsoft Copilot Essentials and Microsoft Copilot 365 Introduction — teach employees how to use Copilot productively for their daily work. The IT and Infrastructure courses teach IT teams how to prepare, configure, secure, deploy, and govern the underlying environment that makes Copilot work safely across the organisation. A successful enterprise Copilot rollout typically requires both streams of training — technical deployment skills for IT teams and adoption skills for end users.

Question 9

Are these IT and Infrastructure AI courses kept up to date with the latest Microsoft and platform releases?

Accepted Answer

Yes. Enterprise AI deployment is a rapidly evolving area and JBI's IT and Infrastructure AI course content is continuously reviewed and updated to reflect the latest Microsoft releases, platform changes, and regulatory developments. This includes updates to Microsoft 365 Copilot deployment requirements, changes to Microsoft Entra ID and Conditional Access capabilities, new Azure AI services and infrastructure options, evolving MLOps tooling and best practices, and the latest guidance from Microsoft and regulators on AI governance and compliance. Delegates learn practical skills that are directly applicable to the enterprise AI infrastructure landscape as it exists today.

AI Governance Tooling training course

Implement access controls, usage monitoring, and audit logging for AI tools across an organisation

Public Courses

Customised Courses

Highlights

Course Details

Who should attend

Feedback

4.8 out of 5 average

Certification

More about this course

FAQs