ITERA Phase 1
July 11, 2026 · 3:30 AM - 8:00 AM @ Badulla, D1 Lecture Hall, Uva Wellassa University
Description
ITERA Phase 1 successfully introduced undergraduates to the fundamentals of Machine Learning while providing valuable insights into the impact of Artificial Intelligence on today's workforce. The event featured two engaging sessions conducted by Mr. Shiham Farook , Senior Machine Learning / AI Engineer and Senior Lecturer (Data Science & AI). Participants gained practical exposure to Machine Learning through a live demonstration and explored how AI is transforming industries, influencing career opportunities, and reshaping the future of work. The session created an interactive learning environment where students were encouraged to ask questions, engage with the speaker, and gain a clearer understanding of emerging AI technologies. What Participants Gained A foundational understanding of Machine Learning concepts and workflows. Practical exposure through a live Machine Learning demonstration. Insights into real-world applications of AI and Machine Learning. Awareness of how AI is transforming industries and influencing the job market. Guidance on future career opportunities and essential skills in AI and Machine Learning. The opportunity to interact with an industry expert during the Q&A session. Event Details Date: 11 July 2026 Time: 9:30 AM onwards Venue: D1 Lecture Hall, Uva Wellassa University Theme: "Machine Learning Essentials & AI Career Insights"
Agenda
Agenda 09:30 – 09:35 AM | Opening & Introduction Welcomed participants and introduced the objectives of ITERA Phase 1. 09:35 – 11:00 AM | Session 01 – AI & The Future of Careers Machine Learning Practical Discussed the growing influence of AI across industries. Explained how AI is reshaping job roles and creating new career opportunities. Shared practical advice on preparing for careers in the AI-driven future. 11:20 – 1:10 PM | Session 02 – AI & The Future of Careers Introduced Machine Learning fundamentals. Demonstrated the Machine Learning workflow through practical examples. Showcased commonly used Machine Learning tools and techniques. 1:10 – 1:20 PM | Interactive Q&A Session Participants engaged with the speaker through questions and discussions on AI, Machine Learning, and career pathways. 1:20 – 1:30 PM | Appreciation & Closing Presented a token of appreciation to the speaker. Concluded the event with a vote of thanks and closing remarks.