CBRNE Ltd

Introduction

This intense two-day course is designed for business professionals with some degree of programming experience to venture into the field of AI technology. The programme is designed to offer a systematic roadmap of AI technologies, with key takeaway resources being distributed following the completion of the course.

Suitable for:

• Young graduates (undergraduates, postgraduates) and early-career researchers
• Mid-level management personnel wishing to transition into AI sector
• Regulators who are keen to know more about the possibility of AI technologies
• Engineering teams who are actively seeking to migrate towards adopting AI technologies
• Career professionals willing to transition into the field of AI.

Note: Module 2 is a practical step-by-step tutorial on the AI environment setup after which participants will be able to train a network and see the results across different domains. As a result, students will have something tangible as a takeaway, along with tools and resources.

Module 1: Demystifying AI — Review of what’s happening under the hood

• The history and origins of AI
• Introduction to data driven approach to intelligence
• Transition from mathematical models to practical applications
• Cross sectoral applications of AI
• How to get started with AI — infrastructure, resources, and tools.

Module 2: Hands-on AI activities

• Scientific overview of AI algorithms
• What is bias in AI — Garbage in Garbage out
• Setting up of an AI environment
• Training procedures and processes
• Metrics for evaluation and performance assessment

Module 3: Extended hands-on AI activities

• Face recognition
• NLP analysis
• Data Science applications

Module 4: Regulatory approach to accessing to data

• Personal and individual rights
• Data privacy
• Right to privacy
• UK/ European regulations

Module 5: Case-studies and next steps

• Upcoming trends in technology
• Key take away(s)
• Resources
• Tools