AI Business Training Courses 


AI for Business training helps non-technical professionals understand how AI
can be applied across business functions to improve efficiency

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What is AI for Business Training?

Artificial Intelligence is reshaping how organisations operate, compete, and grow. AI for Business training helps non-technical professionals understand how AI can be applied across business functions to improve efficiency, automate processes, enhance decision-making, and unlock new opportunities for innovation.

JBI’s AI for Business courses are designed for managers, executives, and business teams who want to understand and apply AI without needing a technical background. The training focuses on practical use cases, real-world tools, and strategic decision-making around AI adoption, including Generative AI, automation, data-driven insights, and Microsoft Copilot integration.

Participants learn how to identify AI opportunities within their organisation, evaluate risks, improve workflows, and build a roadmap for responsible AI adoption that delivers measurable business value.

Learning Outcomes – What You Will Learn

 

✓ Understand core AI concepts and business applications

✓ Identify opportunities for AI-driven process improvement

✓ Use AI tools to improve productivity and communication

✓ Apply Generative AI for reporting, content, and analysis

✓ Evaluate risks, limitations, and ethical considerations of AI

✓ Improve decision-making using AI-generated insights

✓ Develop AI adoption strategies for your organisation

✓ Align AI initiatives with business goals and KPIs

AI for Business Training for Every Role

 

💼 Business Managers

Use AI to streamline operations, improve productivity, and support team performance.

📊 Business Analysts

Leverage AI tools for research, reporting, forecasting, and insight generation.

📈 Department Heads

Identify automation opportunities and improve cross-team efficiency using AI.

👔 Executives and Leaders

Understand AI strategy, governance, risk, and business transformation opportunities.

🧑‍💼 Operations Teams

Apply AI to reduce manual work, improve workflows, and enhance service delivery.

⚙️ IT Coordinators

Support AI adoption, tool integration, and organisational readiness.

 

What Delegates Say - Testimonials

 

★★★★★ "This course gave our leadership team a clear understanding of how to apply AI in real business scenarios. We immediately identified several automation opportunities."

Operations Director
Retail Organisation, Manchester

★★★★★ "Very practical and easy to follow. It helped our team move from curiosity about AI to actually using it in daily work."

Business Manager
Professional Services Firm, London

★★★★★ "Excellent strategic overview of AI for business. It helped us build a realistic roadmap for AI adoption across departments."

Head of Transformation
Healthcare Organisation, Leeds

 

Training Delivery Options

 

🖥️ Online Live Training

Interactive instructor-led sessions delivered remotely with practical examples and discussions.

📍 Classroom Training

Attend scheduled public courses and learn alongside professionals from various industries.

🏢 Onsite at Your Premises

Private training tailored to your organisation’s processes, challenges, and strategic goals.

🎯 Bespoke Corporate Programmes

Custom AI for Business programmes aligned with your digital transformation and innovation strategy.

JBI Training offers a comprehensive range of AI for Business courses designed for non-technical professionals, managers, and business teams. Available courses include Microsoft Copilot Essentials (one day), Microsoft Copilot 365 Introduction (one day), A Comprehensive Intro to AI (two days), Prompt Engineering for ChatGPT (one day), AI Prompt Engineering (one day), Redesigning Workflows Around AI (one day), Writing AI System Specifications (one day), AI Workflows, Evals and Process Automation for Managers (two days), Agentic Coding with Claude Code (three days), Agentic Coding with GitHub Copilot (three days), and AI-Assisted Python (one day). All courses are available as scheduled classroom sessions in London, as live online instructor-led training, or as customised onsite programmes for corporate teams.
AI for Business training helps non-technical professionals understand how artificial intelligence can be applied across business functions to improve efficiency, automate processes, enhance decision-making, and create new opportunities. Unlike technical AI or machine learning courses aimed at data scientists and engineers, AI for Business training is designed for managers, executives, business analysts, department heads, operations teams, and IT coordinators who need to understand AI practically and strategically — without requiring a programming or data science background. The focus is on real-world use cases, productivity tools, workflow redesign, and responsible AI adoption rather than on building or training AI models.
Microsoft Copilot Essentials is a one-day introductory course that covers the foundational concepts of Microsoft Copilot — what it is, how it works, how to write effective prompts, and how to apply it across common business tasks. It is suitable for any Microsoft 365 user who is new to Copilot and wants a practical starting point. Microsoft Copilot 365 Introduction is also a one-day course but focuses specifically on Copilot within the Microsoft 365 application suite — covering practical use cases across Word, Excel, PowerPoint, Outlook, and Teams. Delegates who want to get quickly productive with Copilot across their daily Microsoft 365 tools will find the 365 Introduction course the most immediately applicable starting point.
Redesigning Workflows Around AI is a one-day course for managers and business professionals who want to go beyond using AI tools individually and instead think systematically about how AI can reshape the way their team or organisation works. The course covers how to audit existing workflows for AI automation opportunities, how to redesign processes that incorporate AI assistance at scale, how to manage the change involved in AI-driven workflow transformation, and how to evaluate the impact of AI adoption on team roles and responsibilities. It is suited to operations managers, department heads, business transformation leads, and senior professionals who are responsible for how work gets done in their organisation rather than just their own personal productivity.
Writing AI System Specifications is a one-day course that teaches business professionals and managers how to write clear, structured specifications for AI systems, tools, and automations they want to commission or build. As organisations increasingly work with developers, vendors, and AI platforms to build custom AI solutions, the ability to articulate requirements clearly — defining what the AI should do, what data it should use, how it should behave, and what success looks like — becomes a critical business skill. The course covers how to move from a vague business need to a precise and actionable AI system specification, how to define evaluation criteria, and how to collaborate effectively with technical teams and AI vendors.
This two-day course is designed specifically for managers who are responsible for overseeing, commissioning, or evaluating AI-driven workflows and automation within their organisation. It covers how AI workflows are structured and how they differ from traditional process automation, how to design and run evaluations (evals) to assess whether an AI system is performing as intended, how to identify failure modes and quality issues in AI-driven processes, and how to build governance and oversight mechanisms that ensure AI automation remains reliable, accurate, and aligned with business objectives. It is a practical course for managers who need to work intelligently with AI systems rather than simply trust them uncritically.
Prompt engineering is the practice of designing and structuring the inputs given to an AI language model — such as ChatGPT, Microsoft Copilot, or Claude — in order to produce more accurate, relevant, and useful outputs. For business users, prompt engineering is a practical productivity skill because the quality of AI-generated content, analysis, or responses is directly influenced by how clearly and effectively the request is framed. JBI offers two prompt engineering courses: Prompt Engineering for ChatGPT, which focuses specifically on OpenAI's ChatGPT, and AI Prompt Engineering, which takes a broader approach applicable across multiple AI tools. Both courses cover techniques for structuring prompts, providing context, iterating on outputs, and applying prompt strategies to common business tasks.
An AI agent is an AI system that can take sequences of actions autonomously in order to complete a goal — going beyond answering a single question to planning, executing, and adapting across multiple steps. Agentic AI tools such as Claude Code and GitHub Copilot's agent mode can read and write files, execute code, run tests, and complete development tasks with minimal human intervention at each step. JBI's Agentic Coding with Claude Code and Agentic Coding with GitHub Copilot courses teach developers how to work professionally with these agentic tools — covering how to specify tasks clearly, how to steer and verify agent behaviour, and how to apply test-driven development as a quality discipline when working with AI-generated code. These courses are aimed at software developers rather than general business users.
Yes. All AI for Business courses at JBI can be delivered as customised closed-group programmes for corporate teams, onsite at your organisation's premises or online. Content can be tailored to your organisation's specific AI tools, business functions, industry context, and adoption objectives. For example, a finance team can receive training focused on AI applications in reporting and forecasting, a customer service team can explore AI in service delivery and response automation, and a leadership team can receive a strategic overview focused on AI governance, risk, and organisational readiness. JBI has delivered AI and technology training for corporate clients including the BBC, NHS, RBS, Sky, EDF, Cisco, and Capita.
Responsible AI use is embedded across JBI's AI for Business curriculum. Topics covered include understanding the limitations and failure modes of AI systems, the risks of over-reliance on AI-generated outputs, data privacy considerations when using AI tools with organisational data, the importance of human oversight in AI-assisted decision-making, bias in AI systems and how it manifests in business contexts, and how to develop organisational policies and governance frameworks for AI adoption. These topics are particularly relevant for managers, executives, and IT coordinators who are responsible for ensuring their organisation uses AI tools safely, legally, and in alignment with their values and regulatory obligations.
Yes. The AI landscape is evolving rapidly and JBI's AI for Business training content is continuously reviewed and updated to reflect the latest tools, capabilities, and best practices. This includes updates to Microsoft Copilot and the Microsoft 365 AI feature set, new agentic AI capabilities in tools such as Claude Code and GitHub Copilot, developments in generative AI and large language models, and evolving guidance on AI governance and responsible use from regulators and standards bodies. Delegates learn skills and frameworks that are directly applicable to the AI tools and challenges their organisations are working with today.

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