Question 1

What Data and Analytics Team training courses does JBI Training offer in this group?

Accepted Answer

JBI Training offers four specialist courses in this group designed for data and analytics professionals building AI-ready data infrastructure. Available courses are Building AI Agents and Chatbots in Microsoft 365 Copilot (two days), AI-Ready Data Pipelines (one day), Monitoring AI in Production (one day), and End-to-End Reporting Automation (one day). All courses are available as scheduled classroom sessions in London, as live online instructor-led training, or as customised onsite programmes for data and analytics teams.

Question 2

What does the AI-Ready Data Pipelines course cover?

Accepted Answer

The AI-Ready Data Pipelines course is a one-day programme for data engineers and analytics professionals who need to ensure their data infrastructure can support AI and machine learning workloads reliably. It covers what makes a data pipeline AI-ready — including data quality requirements, schema consistency, lineage tracking, and latency considerations — how to design and build pipelines that feed AI models and analytics systems with clean, structured, and timely data, and how to integrate pipeline design with modern data platforms. It is particularly relevant for organisations that have adopted or are planning to adopt AI tools and need to ensure their underlying data infrastructure is fit for purpose.

Question 3

What does the Monitoring AI in Production course cover?

Accepted Answer

The Monitoring AI in Production course is a one-day programme covering how to observe, measure, and maintain AI systems once they have been deployed in a live environment. It addresses a gap that many data and engineering teams encounter — AI systems that perform well in testing but degrade in production due to data drift, model decay, infrastructure issues, or changing user behaviour. Topics covered include setting up monitoring frameworks for AI model performance, detecting and responding to data drift and concept drift, defining meaningful metrics and alerting thresholds for AI systems, logging and observability for AI pipelines, and building operational runbooks for AI incidents. It is suited to data engineers, MLOps professionals, and analytics engineers responsible for AI systems in production.

Question 4

What does the End-to-End Reporting Automation course cover?

Accepted Answer

The End-to-End Reporting Automation course is a one-day programme that teaches data and analytics professionals how to automate the full reporting lifecycle — from data ingestion and transformation through to report generation and distribution. It covers automation approaches for routine reporting tasks, integrating data pipelines with reporting tools such as Power BI, scheduling and triggering automated report refreshes and distribution, reducing manual intervention in recurring reporting workflows, and applying automation to ensure reports are always based on current, accurate data. It is suited to BI developers, data analysts, and analytics engineers who spend significant time on manual reporting tasks and want to build more scalable and reliable automated reporting systems.

Question 5

What does the Building AI Agents and Chatbots in Microsoft 365 Copilot course cover?

Accepted Answer

This two-day course teaches data and analytics professionals how to build AI agents and chatbots within the Microsoft 365 Copilot ecosystem using Copilot Studio and related Microsoft tools. It covers designing conversational agents grounded in organisational data sources such as SharePoint, Dataverse, and SQL, configuring automated workflows triggered by agent interactions, connecting agents to analytics outputs and reporting systems, and deploying agents within Microsoft Teams and other Microsoft 365 channels. It is particularly relevant for data and analytics teams who want to surface data insights and automate data-driven workflows through conversational AI interfaces rather than traditional dashboards and reports.

Question 6

Why is AI readiness important for data and analytics teams specifically?

Accepted Answer

Data and analytics teams sit at the foundation of any organisation's AI capability — AI models, agents, and analytics tools are only as good as the data that feeds them. AI readiness for data teams means ensuring that data pipelines deliver clean, consistent, well-documented, and timely data; that data quality issues are detected and resolved before they reach AI systems; that monitoring is in place to detect when AI outputs degrade; and that reporting and automation workflows are robust enough to scale alongside growing AI adoption. Organisations that invest in training their data teams on AI-ready infrastructure consistently see better outcomes from their broader AI investments than those that focus only on the AI tools themselves.

Question 7

Can these Data and Analytics AI courses be customised for a corporate team?

Accepted Answer

Yes. All four courses can be delivered as customised onsite or online programmes for corporate data and analytics teams. Content can be tailored to the team's existing data stack, cloud environment, BI tools, and specific AI adoption objectives. For example, a team building out their first AI-ready data platform can receive training focused on pipeline design and monitoring fundamentals, while a more mature team looking to automate reporting and surface insights through AI agents can receive training focused on those specific workflows. JBI has delivered data and analytics training for teams at organisations including the BBC, NHS, RBS, Sky, EDF, and Capita.

Question 8

Are these courses kept up to date with the latest developments in AI and data engineering?

Accepted Answer

Yes. The intersection of data engineering and AI is one of the fastest-moving areas in technology and JBI's course content in this group is continuously reviewed and updated to reflect the latest developments. This includes updates to Microsoft Copilot Studio and Microsoft 365 AI capabilities, evolving MLOps tooling and monitoring frameworks, new approaches to AI-ready data pipeline design, and the latest best practices in reporting automation across Power BI, Microsoft Fabric, and other modern analytics platforms. Delegates learn skills that are directly applicable to the AI and data infrastructure challenges their organisations are working through today.

Question 9

Are these courses available online?

Accepted Answer

Yes. All JBI Training courses run as live online instructor-led sessions as well as in-person in London and as bespoke on-site training at your organisation.

Question 10

Can these courses be customised for my team?

Accepted Answer

Yes. All JBI Training courses can be delivered as bespoke closed-group programmes tailored to your team's technology stack, experience level, and business objectives. Contact enquiries@jbinternational.co.uk.

Data and Analytics Team Training Courses s

Hands-on courses for data professionals building the pipelines, monitoring, and automation that AI depends on

Building AI Agents and Chatbots in Microsoft 365 Copilot

AI-Ready Data Pipelines

Monitoring AI in Production

End-to-End Reporting Automation

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