
Use python to build machine learning models for regression and classification using scikit-learn. Learn how to create, train and evaluate models. Be familiar with the common machine learnign algorithms available from scikit-learn.

Use python to build deep learning models for regression and classification. Learn how to create, train, evaluate and tune neural networks using Python and Keras.

This one-day hands-on workshop is designed for Microsoft 365 power users, IT professionals, and citizen developers who want to move beyond Copilot Chat and design production-ready Copilot agents. Participants will learn when to build an agent versus using Copilot Chat, Power Automate, or a traditional application, and where agents fit within the broader Microsoft Copilot extensibility model. Through a structured build progression, delegates will design and implement a knowledge-grounded declarative agent in the morning, then extend it in the afternoon with actions, automation, and autonomous behaviours. The course emphasises real-world enterprise considerations including governance, security, cost control, risk management, and responsible AI design. By the end of the workshop, participants will have built, tested, and deployed a practical Copilot agent aligned to a genuine organisational use case.

Artificial Intelligence (AI) and Generative AI are radically changing the world of work. The role of this course is to demystify the technologies involved and through practical examples and hands on demonstrations and exercises, show how AI can be applied in all sorts of situations. You will be able to separate the hype from the reality by understanding the current tooling landscape. You will be introduced to tools that you can use such as ChatGPT and Microsoft CoPilot.

This one-day consultancy-focused course teaches delegates how to deploy Microsoft CoPilot in organisations handling sensitive data. The course covers identity and access management, data classification, compliance guardrails, CoPilot configuration best practices, and hands-on scenario exercises. Delegates will leave with a practical action plan and checklist for secure deployment.

This 1-day masterclass teaches effective prompt engineering for Microsoft Copilot and or ChatGPT. Learn the RICE FACT framework for crafting prompts, understand LLM limitations, and master conversation management techniques. Through hands-on exercises, you'll develop skills in advanced prompting patterns and build reusable templates for writing, research, data analysis, and coding assistance. Through hands-on exercises and real-world examples, you'll apply these techniques to common use cases including writing, research, data analysis, and coding assistance. By the end of the day, you'll have the skills to consistently get high-quality, relevant responses from AI tools, dramatically improving your productivity and the value you extract from these powerful technologies.

Generative AI has transformed the development landscape. What is the best way to role out and deploy these tools to your technical teams. How do you decide which tools to use, and how do you ensure good governance and security? This course demonstrates both the current capability landscape, and also strategies you can adopt when rolling out these tools to your technical teams.

This course covers advanced topics like fine-tuning GPT and AUTO-GPT models, understanding transformer architecture, using Langchain and Pandas for complex tasks, and exploring the latest research in the field.

This course is intended for those who need to learn how to take advantage from Azure Open AI. The course will teach attendees the fundamentals of Generative AI and then how you can use the Azure Open AI Studio to create your own Generative AI models.

An intermediate-level course helping students gain technical expertise in development with AI technologies and Auto-GPT. The course also covers Langchain and its integration with AI technologies.

This practical 3-day course teaches you to train and fine-tune Large Language Models for data analysis tasks. You'll learn the underlying principles of LLMs, explore techniques for optimizing model performance, and gain hands-on experience with TensorFlow and PyTorch. Whether you're a data analyst or machine learning enthusiast, you'll develop the skills to leverage LLMs to unlock new insights from your data.

Generative AI has transformed the development landscape. We have seen clients greatly improve developer productivity through training staff on how to use Gen AI tools effectively from within their IDEs. Through this course, developers will learn how to use tools such as GitHub Copilot (including agent mode), Cursor, Claude, Amazon Q, and other modern AI coding assistants to increase productivity, reduce errors, and reduce time to market. Specifically, in this course you will learn how to use these tools for multi-file editing, code generation, debugging, testing, documentation, security analysis, and much more.

This practical 3-day course equips you with the skills to leverage GPT, AUTO-GPT, Langchain, and Pandas for natural language processing tasks. You'll learn to perform text classification, sentiment analysis, and named entity recognition through hands-on examples. Whether you're a data scientist, software engineer, or technology enthusiast, you'll gain the expertise to unlock valuable insights from textual data using these cutting-edge NLP tools.

This half to one day, hands-on workshop helps knowledge workers, team leads, and professionals get practical value from Microsoft 365 Copilot. Participants explore how Copilot is integrated across Outlook, Teams, Word, and Excel, and how it differs from Copilot Chat. Through guided exercises they use Copilot to draft and refine documents, manage email, analyse data, and support collaboration. The course also introduces Copilot agents and multi-app workflows, along with best practices for responsible, secure AI use in everyday work.

This practical 3-day course provides the knowledge and skills to interpret AI and AGI models, AUTO-GPT outputs, and vector database results. You'll learn how AI models work, techniques for analyzing their outputs, and how to effectively utilize vector databases and AUTO-GPT. Through real-world examples and hands-on exercises, you'll gain the confidence to understand and apply these technologies in practical contexts, whether you're a tech enthusiast or business professional.

This one-day course provides developers with the knowledge and skills to integrate AI capabilities into their applications using AWS Bedrock. The course covers the fundamentals of AWS Bedrock, its features, and practical implementation strategies.

This one-day hands-on workshop is designed for enterprise AI practitioners, IT professionals, and citizen developers who want to move beyond conversational AI to build Claude-powered agents. Participants will learn when to use Claude agents versus simple chatbots or workflow automations, and where these agents fit into enterprise systems. Through a structured build progression, delegates will design and implement a grounded agent using plugins and enterprise connectors in the morning, then extend it in the afternoon with automation workflows, multi-step reasoning, and autonomous behaviours. Governance, compliance, responsible AI principles, and cost awareness are embedded throughout. By the end of the day, participants will have built, tested, and demonstrated a practical Claude agent aligned with a real organisational use case.

This half day or one day hands-on workshop is designed for business professionals, team leads, and knowledge workers using Microsoft 365 who want to become productive with Microsoft Copilot Chat. Participants learn what Copilot Chat is, how it fits into the wider Copilot and Microsoft 365 ecosystem, and how to access it across tools such as Teams, Word, Outlook, and Excel. Through practical exercises, they explore prompt design, real-world workflows, and safe, responsible use so they can apply Copilot Chat confidently to everyday tasks.

This practical 2-day course equips you with the skills to harness AI, AGI, and vector databases for effective data analysis. You'll learn the fundamentals of vector databases, automated data cleaning, anomaly detection, and predictive analytics. The course explores deep learning, neural networks, and techniques for interpreting and communicating results. Through hands-on exercises, you'll gain practical experience applying these technologies to extract valuable insights from complex datasets and unlock the full potential of your data.


