Master the transition from experimental AI prompts to reliable, scalable, and secure production-ready applications.
This course covers the lifecycle of large language model development, starting with the core capabilities and applications of LLMs in various industries. It explores the nuances of prompt engineering, including various prompting techniques and the importance of responsible, ethical AI practices. The curriculum further details how LLMs are deployed, distinguishing between generic, instruction-tuned, and dialogue-tuned models. Finally, it outlines the technical requirements for production readiness, focusing on performance, scalability, reliability, operational visibility, and security.
Topics Covered:
4 activities • 12 videos • duration: 1h 2m
AI Researcher & Educator, PhD in Computer Science, Director of AI Atelier, Generative AI Trustworthy AI
Dr. Reza Moradinezhad is an AI researcher, educator, and Assistant Teaching Professor at Drexel University's College of Computing & Informatics. With a PhD in Computer Science, his expertise spans Generative AI, Large Language Models (LLMs), Trustworthy AI, Human-AI Interaction, and Software Engineering. As Director of AI Atelier, he leads initiatives focused on AI education, research, and community engagement. His online courses on platforms including Udemy and Coursera have reached tens of thousands of learners worldwide, helping students and professionals develop practical AI skills. Beyond academia, Reza has industry experience as a Founding AI Scientist at TulipAI, where he worked on generative AI technologies and real-world applications. His teaching philosophy emphasizes bridging the gap between theory and practice. Through clear explanations, real-world examples, and hands-on learning, he helps professionals not only understand emerging AI technologies but also evaluate, implement, and use them effectively and responsibly.
