Prompt Engineering for Business Teams
Write prompts that give reliable results for everyday work: documents, emails, analysis and meeting notes. Comes with ready-to-use prompts organised by role.
Hands-on AI training for engineers, business teams and students. I find where AI fits in your work, build it with you, and make sure everyone in the room can use it on their own.
Trained learners and teams at



Every session is hands-on: participants work on real tasks from their own job and leave with prompts, templates and a workflow they can keep using.
Write prompts that give reliable results for everyday work: documents, emails, analysis and meeting notes. Comes with ready-to-use prompts organised by role.
Foundations, advanced prompt patterns and production integration with Claude, OpenAI and other LLM platforms, with real-world case studies and a reusable prompt library.
Use Claude Code, GitHub Copilot and V0.dev as everyday coding partners: prompt patterns for code, agentic workflows and connecting tools through MCP servers.
Build and ship a working web application end to end with AI assistants, from requirements and design through code, tests and deployment.
The building blocks behind every AI product: models, prompts, embeddings, retrieval, APIs and tools, explained through building a first working AI app.
Build chains, AI agents and agentic workflows with LangChain, LangGraph, CrewAI and AutoGen, and connect them to real systems through the Model Context Protocol.
How generative AI actually works, what it is good and bad at, and how to judge its output, taught so that technical and non-technical learners leave with the same mental model.
Use Claude, Gemini for Google Workspace and Microsoft 365 for daily work, department by department, with clear usage guidelines and data handling practices so adoption stays secure.
Use AI across every phase of software delivery, from requirements gathering to maintenance, with setup guides for Claude.ai, GitHub Copilot and VS Code and reusable document templates.
Most AI training is either too technical for business users or too shallow for engineers. I teach both, often in the same session.
Go from using AI in a chat window to building with it in code.
Get dependable results from AI tools in the work you already do.
Training starts with how your team works today, not with a fixed slide deck.
Workflow discovery session with team leads to find where AI will actually help.
Tailor the curriculum to your roles, your tools and your real tasks.
Live, hands-on sessions where people practise on their own work.
Hand over prompt libraries, templates, guides and usage guidelines.
Review what the team is using, then refine the material and next session.
Feedback from step 05 loops back into step 02 for the next batch.
From .NET classrooms to agentic AI cohorts, teaching has run alongside my engineering work since 2010.

Training on LLM application frameworks: chains, AI agents, agentic workflows and the Model Context Protocol.

A complete AI enablement programme for a corporate client (name confidential), covering basic and advanced prompt engineering and AI in the tools each team uses every day.
Teams trained: MIS, Design, Accounts, Sales, Pre-sales and Administration.

Ran .NET training for junior developers and interns, and built the curriculum and hands-on exercises for software engineering concepts.
Enablement, solutions and training under one roof.
Chatbots, RAG pipelines, agents, automation and REST API integrations that connect AI to the systems your team already uses.
Solutions profile →Workflow discovery, reusable prompt libraries and AI skills, and documented usage guidelines so adoption stays secure and consistent.
Enablement profile →Hands-on workshops for mixed audiences, so business users and technical staff both leave able to use AI on their own work.
See workshops →Every workshop draws on AI systems I have designed and shipped, not just tools I have read about.
Software engineer since 2013, building RAG pipelines, chatbots and API integrations in production.
Started as a technical trainer at NIIT and has designed curriculum ever since, for companies and institutes.
Role-based prompt libraries for Managers, Developers, Product Owners and QA Engineers, plus templates and guides.
Approved tools, usage guidelines and data handling built into every rollout. Certified ScrumMaster.
Whether you need a workshop, a prompt library or a full training programme, tell me what your team is trying to do and I'll show you where AI fits.
Not for the non-technical tracks. Prompt engineering for business teams, AI at work and AI concepts need no code at all.
Yes. Every engagement starts with a discovery session, and the exercises use your team's real tasks on the AI platform you have approved.
Prompt templates, role-based prompt libraries, setup guides and usage guidelines they can reuse in their day-to-day work.
Yes. A recent 6-day programme trained MIS, Design, Accounts, Sales, Pre-sales and Administration teams in one programme.
Yes. I run sessions for institutes such as Boston Institute of Analytics as well as for corporate teams.