Explore Smarthub Academy’s webinars — featuring experts, live sessions, and insights to empower learners in the tech ecosystem.

AvailableDay 3 was the final continuation of everything we built in Days 1 and 2 - bringing the concepts together and solidifying the full deep learning workflow through practical implementation.

AvailableDay 2 was a direct continuation of what we started in Day 1, building further on the foundation and going deeper into practical implementation.

AvailableThis Workshop with PyTorch focused on laying the foundation for aspiring AI Engineers. Designed for ML practitioners, data scientists, and Python developers, the session introduced participants to building their first neural network from scratch and understanding the core principles of deep learning. The workshop provided hands-on guidance and a clear roadmap from Machine Learning fundamentals to advanced AI development.

AvailableA powerful session held on Sunday, November 9th, 2025, where aspiring developers and tech enthusiasts were guided on how to identify and grow within their ideal tech paths. It provided clarity for newcomers on how to choose a career direction in the fast-evolving world of technology.

AvailableThis is the concluding part of the intensive 2-Day Data Analysis Workshop hosted by George Boma Smith, a seasoned Data Scientist, Software Engineer, and Founder. In this final session, participants explored the practical side of data analysis with SQL, learning how to query and join multiple tables, perform data aggregation and transformation, and build complete end-to-end data solutions ready for real-world applications.

AvailableThis is the first of an intensive 2-day Data Analysis Workshop, hosted by George Boma Smith, who is a seasoned Data Scientist, Software Engineer, and Founder. This is designed to help participants master both the theoretical and practical sides of databases and data analysis. Over the two days, participants will explore database design fundamentals, relational principles, and normalisation techniques, and then dive into SQL, querying, data aggregation and building a complete data solution.