This two-day workshop by the London School of Emerging Technology (LSET) offered a hands-on introduction to AI and Machine Learning through expert-led sessions, interactive games, and real-world use cases. Participants explored chatbot development, classification logic, and how AI impacts modern industries. Designed for learners of all levels, the workshop fostered collaboration, creativity, and practical skill-building.

Hosted by the London School of Emerging Technology (LSET), this two-day workshop provided participants with a hands-on exploration of Artificial Intelligence and Machine Learning. Attendees engaged in expert-led sessions, developed AI chatbots using Python and NLP, and gained insights into real-world AI applications across industries like fintech and healthcare. Designed for learners at all levels, the workshop fostered collaboration, innovation, and practical skill development.

Monolithic architectures have historically been challenging to scale. It becomes increasingly difficult to update and maintain an application as its code base grows. It becomes extremely difficult to introduce new features, languages, frameworks, and technologies. This limits innovation and new ideas. Developers must make large-scale changes to the entire codebase to implement new features, making the process time-consuming and complex. This can lead to bugs and security vulnerabilities. As a result, organizations are increasingly turning to microservices architectures to solve these problems.