London School of Emerging Technology (LSET) Concludes International Workshop on Emerging AI & Machine Learning Innovation

LSET successfully concluded its two-day International AI & ML Workshop in London, featuring hands-on sessions, expert talks, and interactive activities. Participants also received a hardcopy AI & ML book, free hackathon entry, and a coupon for the LSET Python ML Engineer exam.
London, United Kingdom - The London School of Emerging Technology (LSET) successfully concluded its much-anticipated International Workshop on Emerging AI & Machine Learning Innovation [https://lset.uk/workshops/technology-series/international-workshop-on-emerging-ai-machine-learning-innovations/], held on 1st and 2nd May 2025 in London. The two-day interactive event brought together aspiring technologists, industry leaders, educators, and AI enthusiasts for a transformative experience in artificial intelligence and machine learning [https://lset.uk/robotic-ai-and-machine-learning-unit/].

Designed to demystify AI and make advanced technologies more accessible, the workshop combined hands-on learning, real-world case studies, and dynamic team-based activities. Attendees explored the practical applications of AI in business, leadership, and everyday life.

Day 1 Highlights: Interactive AI & ML Exploration

Led by LSET's Principal Instructor, Mayur Ramgir, the workshop kicked off with a high-energy session including the "AI Says" activity, setting a fun and engaging tone. Talks by Emma Burrows on reliable AI agents and Stuti Singh on leadership in the AI age added thought-provoking depth. Participants enjoyed an immersive chatbot-building session with Dr. Tommaso Batistoni, followed by an AI logic guessing game and a lively AI Sorting Showdown that simulated machine learning classification.

Day 2 Highlights: Real-World Inspiration & Engagement

The second day focused on real-world AI applications. Rosh John shared insights into the role of NatWest Incubator in startup success. Attendees participated in the "Train the Bot" group exercise and an engaging team challenge. The highlight of the day was a keynote by Ajit Barik, who spoke on the future of AI.

Special Offers for Participants

After the successful completion of the workshop, LSET provided participants with the following complimentary resources and opportunities:

*
A hardcopy of the book Introduction to AI and ML

*
Free registration entry to the upcoming International Hackathon: Build an AI Study Coach [https://hackathon.lset.uk/build-an-ai-study-coach-hackathon/]

*
An exclusive coupon code for the LSET Validated Python Machine Learning Engineer (Fundamental) Exam [https://exam.lset.uk/certificates/lset-validated-python-machine-learning-engineer-fundamental/]

These post-event benefits were designed to extend the learning experience beyond the workshop and support participants on their journey into the world of AI and machine learning.

About LSET

The London School of Emerging Technology (LSET) is committed to delivering cutting-edge technology education through innovative teaching, hands-on experience, and real-world projects. With a focus on accessibility and practical learning, LSET bridges the gap between theoretical knowledge and industry needs, empowering the next generation of tech leaders.

For further details on upcoming workshops and programmes, please visit www.lset.uk [https://lset.uk/workshops/].

Media Contact
Company Name: London School of Emerging Technology
Contact Person: Jim Cohn
Email:Send Email [https://www.abnewswire.com/email_contact_us.php?pr=london-school-of-emerging-technology-lset-concludes-international-workshop-on-emerging-ai-machine-learning-innovation]
Phone: 02033699909
Address:1 Cornhill
City: London
Country: United Kingdom
Website: http://www.lset.uk

Legal Disclaimer: Information contained on this page is provided by an independent third-party content provider. ABNewswire makes no warranties or responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you are affiliated with this article or have any complaints or copyright issues related to this article and would like it to be removed, please contact retract@swscontact.com



This release was published on openPR.