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Pre-Course Technical Analysis and Course Customisation
A snapshot from a recent pre-course tech meeting with a client and our subject matter experts.
Delving into course customization and pre-course technical analysis, these collaborative sessions pave the way for successful delivery of cutting-edge learning experiences.
JBI Training delivers expert-led, hands-on technology courses that equip professionals and organisations with the skills to build, deploy, and lead in an AI-driven world. Since 1995, we have been trusted by the UK's most demanding businesses — from the BBC and Lloyds to the NHS and UK government — to deliver practical, instructor-led training that makes a measurable difference from day one.
We are not a generalist training catalogue. We are a specialist. Every course we deliver is focused on cutting-edge technology, taught by practitioners who use these tools in the real world, and designed to produce skills that your team can apply immediately — in the code they write, the workflows they build, and the decisions they make.
Today, that means Artificial Intelligence is at the centre of everything we do.
The businesses winning right now are not just the ones buying AI tools. They are the ones whose people know how to build with them, extend them, automate with them, and get reliable, scalable results out of them. That internal capability — engineers who can build AI agents, analysts who can work with AI systems, managers who can govern and evaluate AI outputs — is the most valuable asset a modern organisation can develop.
JBI Training exists to build it.
We deliver AI training across the full spectrum: from developers who need to build autonomous AI agent applications and automate complex business workflows from scratch, to technical teams who need to integrate AI into existing systems, to business professionals who need to understand AI well enough to lead, configure, govern, and get the most from it — without always needing an engineer in the room.
Whatever your team's starting point, whatever your organisation's technology stack, and whatever the AI outcomes your business is trying to achieve — JBI Training has the courses, the instructors, and the experience to get you there.
Every organisation today is facing the same twin pressure. On one side, the business needs to build new AI-powered applications — autonomous agents that automate knowledge-intensive workflows, intelligent systems that process and reason over company data, chatbots that handle customer and internal queries without human intervention, and multi-agent pipelines that run entire business processes end-to-end with minimal oversight.
On the other side, the business needs its existing people — analysts, engineers, managers, operations teams — trained and ready to work alongside AI, configure it, evaluate it, question it, and govern it responsibly. AI tools do not run themselves. They need people who understand what they are doing, why they are doing it, and when they are getting it wrong.
JBI Training delivers both. Here is how.
AI agents are the most powerful thing happening in software right now. An AI agent is an autonomous system built on top of a large language model (LLM) that can reason, plan, retrieve knowledge, use tools, take actions, and complete complex multi-step tasks — without a human directing every step.
For businesses, this means AI agents that can process and summarise documents, triage and route customer requests, automate approval workflows, monitor systems and flag anomalies, answer questions from your internal knowledge base, generate reports, and coordinate with other agents to run entire processes end-to-end. The use cases are not hypothetical. They are being built and deployed today — by teams who know how.
JBI Training's AI agent training courses teach your developers exactly how to build them, from first principles to production deployment.
👉 View All AI Agent Training Courses
Build a working AI agent using Anthropic's Claude API or OpenAI's API, integrated with a real internal system. Covers tool calling, function use, agent state management, and end-to-end autonomous agent deployment. The most direct route for developers who need to ship production AI agents fast.
Hands-on developer training on building autonomous AI agents in Python using Retrieval-Augmented Generation (RAG) and the Model Control Protocol (MCP). Participants learn to give agents access to live organisational knowledge, structured tool use, and external system connectivity — producing agents that know what your business knows.
The most comprehensive AI agent development course in the JBI portfolio. Covers the full journey from Python foundations to multi-agent system architecture, RAG pipeline design, LLM orchestration, and production deployment at scale. For teams building serious AI infrastructure.
Build an intelligent, knowledge-grounded chatbot using Python, RAG techniques, and the OpenAI API. The practical course for developers building their first production conversational AI system — one that knows your data, not just the model's training data.
Low-code training for designing, building, and deploying AI agents inside Microsoft Copilot Studio. No deep coding required. Participants publish working agents into Microsoft 365 environments — connected to enterprise data sources, configured with custom skills, and ready to use.
Create declarative AI agents within the Microsoft 365 Copilot ecosystem — including custom connectors, agent plugins, and automated workflows inside Teams, Outlook, and Microsoft 365 applications.
For .NET developers: build intelligent, memory-enabled AI agents using Microsoft's Semantic Kernel framework. Covers LLM integration, multi-step orchestration, plugin design, and Azure OpenAI connectivity inside enterprise .NET applications.
An advanced course on large language model architecture, agent design patterns, fine-tuning, evaluation, and optimisation. For engineers who need a rigorous, deep understanding of how LLMs behave inside agentic systems — and how to make them behave better.
Master Claude API workflows and build MCP-enabled AI systems. MCP is the emerging open standard for connecting AI models to tools, databases, APIs, and external services in a structured, secure, and interoperable way. Build MCP servers and clients from scratch on this specialist course.
Build LLM workflows, chains, memory systems, and full AI agents using the LangChain framework in Python. Covers retrieval, tool integration, agent loops, and deployment of production-ready LangChain agents.
Generative AI — the technology behind ChatGPT, Claude, Gemini, and the explosion of AI-powered tools transforming every sector — is no longer optional knowledge for technology professionals. It is foundational. JBI Training offers a comprehensive suite of Generative AI training courses covering everything from prompt engineering and LLM application development to advanced AI system design and production deployment.
👉 View All Generative AI and LLM Courses
Applied training on practical generative AI strategies, deployment workflows, and real-world business use cases. The right starting course for any organisation beginning its Generative AI journey.
Hands-on training to build practical LLM-powered applications using APIs and AI development frameworks. Covers embeddings, vector stores, retrieval, fine-tuning concepts, and application architecture.
Advanced, comprehensive techniques for designing effective, consistent, and reliable prompts across modern large language models — from zero-shot and few-shot prompting to chain-of-thought, structured outputs, and system prompt design.
Broad prompt engineering fundamentals for working with generative AI tools including ChatGPT, Claude, Gemini, and open-source LLMs. Suitable for both developers and technical business users.
Practical, ChatGPT-specific training on writing effective and reliable prompts — focused on consistent, high-quality outputs in real business and development contexts.
Code-centric training on integrating and using ChatGPT via the OpenAI API — covering function calling, streaming, structured output, embeddings, and production API best practices.
How to integrate AI into everyday development tasks — writing, debugging, testing, reviewing, and documenting code. The essential course for any developer who wants to work faster and more effectively with AI tools.
Build AI-driven workflows, implement LLM evaluation frameworks, and design automated processes. Designed for technical managers and team leads overseeing AI delivery and responsible for ensuring AI systems perform reliably.
Advanced techniques for engineers building production AI systems — covering model selection, output evaluation, optimisation, responsible AI design, and system architecture for scale.
A broad, accessible introduction to artificial intelligence — covering core concepts, business impact, key tools, and practical use cases. The ideal starting point for any professional beginning their AI learning journey.
Demystifying AI for business professionals. What AI is, how large language models work, where AI creates real value — and where it does not. No coding required.
Microsoft has embedded AI across its entire product suite. For any organisation running on Microsoft 365, Azure, or the Power Platform, understanding and applying Microsoft AI tools is no longer optional — it is essential. JBI Training delivers specialist Microsoft AI training courses covering Copilot at every level, Azure OpenAI, Microsoft Foundry, Semantic Kernel, Databricks, and Power Platform AI automation.
👉 View All Microsoft AI Training Courses
For complete beginners — learn what Microsoft Copilot is, what it can do, and how to use it effectively from day one.
Microsoft 365 Copilot integration across Teams, Word, Excel, PowerPoint, and Outlook — the practical productivity course for the modern workplace.
Advanced Copilot workflows, automation, and enterprise productivity enhancement for power users and team leads.
The most advanced Microsoft 365 Copilot course — complex automation, scripting, and large-scale enterprise Copilot deployment.
Foundational AI concepts and hands-on skills using Microsoft Foundry and Azure AI services — the essential starting point for any Azure AI development programme.
Build real, production AI solutions using Azure OpenAI and Microsoft Foundry — from API integration to deployed intelligent applications.
Build intelligent .NET applications using Azure Cognitive Services and Azure AI — for enterprise development teams integrating AI capabilities into existing C# codebases.
Scalable ML workflows, feature engineering, and model training using Azure Databricks and Apache Spark. For data engineers and ML engineers working at enterprise data scale.
Training, deploying, and managing machine learning models using the Azure Machine Learning platform — covering experiment tracking, model registry, and production deployment pipelines.
The most effective AI transformations happen when the whole organisation moves together — not just the engineering team. When analysts understand what AI can do, they design better processes around it. When managers understand how to evaluate AI outputs, they make better decisions. When operations teams understand AI workflows, they adopt them faster and get more out of them.
JBI Training offers a dedicated range of AI training programmes for non-technical and cross-functional teams — the business analysts, process owners, operations engineers, team leaders, and department heads who will determine whether your organisation's AI investment actually delivers.
Map a real business process, identify where AI creates value, and redesign it with a working prototype. Participants leave with a practical, implemented plan — not a slide deck.
Build live AI-connected automations using Power Automate, Make, or Zapier — no coding required. For operations teams, business analysts, and process owners who want to automate workflows now.
Write clear, complete AI system specifications that developers can build from, that align to business goals, and that meet governance and compliance requirements. The essential skill for product owners and business leads working on AI projects.
Applying AI tools and concepts to optimise operational systems, infrastructure processes, and technical workflows — designed for engineers in operational roles who need to understand and apply AI without building models from scratch.
Use AI and vector databases to clean data, surface patterns, and build predictive analytics systems. For data teams moving from traditional analytics into AI-enhanced data work.
Every organisation deploying AI needs people who understand not just how to build AI systems — but how they fail, how they get attacked, and how to govern them responsibly. JBI Training's AI security and governance courses ensure your team can deploy AI confidently, safely, and in compliance with the growing body of AI regulation and best practice.
Identify and mitigate prompt injection, data leakage, model poisoning, and adversarial inputs through hands-on live exercises. The essential course for any engineering team putting AI systems into production.
Build a systematic testing harness for AI responses — covering accuracy, safety, consistency, bias, and regression testing across LLM deployments. Because AI systems need QA just like any other software.
Implement access controls, usage monitoring, audit logging, and policy enforcement for AI tools deployed across an organisation. For IT leads, compliance teams, and platform engineers responsible for enterprise AI governance.
Build version control, CI/CD deployment pipelines, and rollback processes for AI and ML models using standard DevOps tooling. The bridge between data science and reliable production engineering.
Deploy and configure an open-source large language model inside an air-gapped, on-premises, or private cloud environment. For organisations with strict data sovereignty, security classification, or privacy requirements.
Every AI training course at JBI can be delivered as a closed, fully bespoke programme designed around your organisation's specific technology stack, current capability level, and the AI outcomes you are trying to achieve.
A bespoke JBI AI training programme typically includes a pre-course discovery session with your technical and business leads, full customisation of content and exercises to your tools, data, and use cases, hands-on practical work using your actual systems where appropriate, flexible scheduling to fit around your team's commitments, and post-course instructor access so your team can ask questions as they put their learning into practice.
Whether you need to upskill five developers in AI agent development, train fifty analysts to work effectively with AI, or run an organisation-wide AI literacy programme across hundreds of staff — JBI Training has the capacity, the instructors, and the experience to design and deliver it.
The businesses that will lead the next decade are building their AI capability now. JBI Training is ready to help yours do the same.
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