Practical AI for Software Engineers: A Data Scientist’s Perspective
In this interactive masterclass, attendees will gain hands-on experience in leveraging Generative AI, specifically large language models, in their projects. Led by a seasoned data scientist, this session will bridge the gap between AI theory and real-world software engineering applications, offering practical learnings and best practices for integrating AI into workflows.
Participants will explore key topics such as AI models, AI vendors, prompt engineering, AI agents, workflows, feedback mechanisms, reinforcement learning, fine-tuning, Retrieval-Augmented Generation (RAG), evaluation techniques, essential tools, and scalable platforms. Through guided exercises and lifelike examples, attendees will learn not just how to use AI, but how to adapt, optimize, and evaluate its impact on their software development processes.
Whether you’re new to AI or looking to refine your approach, this hands-on session will provide actionable insights to enhance your AI-powered engineering workflows with confidence.
