Overview
Understand the core concepts and advancements behind LLMs, Classify and compare representation (e.g., BERT) and generative (e.g., GPT) models, Gain hands-on experience to build a generative chatbot using cutting-edge technolgies such as Python, Hugging Face’s GPT-2 model, PyTorch and Google Colab, Master the ethical and social considerations of deploying LLMs responsibly, Explore future trends and opportunities in Language AI
Students and Educators, Data Scientists and AI Enthusiasts, Professionals Transitioning into AI, ChatGPT and Similar Models Enthusiasts, Python Developers Curious about Generative AI
Basic Python Programming Knowledge, No Prior Knowledge of LLMs Required
Unlock the power of Large Language Models (LLMs) in this comprehensive and engaging course designed for learners at all levels. From understanding the evolution of Language AI to building your own Generative chatbot, this course equips you with the knowledge and practical skills needed to excel in the rapidly growing field of Artificial Intelligence (AI).
Dive deep into the theoretical foundations of LLMs, including the groundbreaking impact of GPT models, transformers, and self-attention mechanisms. Explore cutting-edge advancements in text representation methods, such as word embeddings and neural networks, while learning how to differentiate between representation and generative models like BERT and GPT.
But we don't stop at theory. This course includes a hands-on lab where you'll create a fully functional Generative AI chatbot using Python and Hugging Face’s GPT-2 model. Along the way, you'll explore the applications and ethical implications of LLMs, ensuring you understand the responsibilities that come with developing AI technologies.
Whether you're a student, developer, researcher, or business professional, this course offers invaluable insights and actionable knowledge that will empower you to harness the transformative potential of LLMs.
Take the first step toward becoming a proficient AI practitioner and join the forefront of innovation in Language AI!
Dr Mohammad Dabbagh
I have spent the past twelve years working in academia, holding various teaching, research, and leadership roles at universities in Australia, the UK, and Malaysia. During this time, I have supported over 1,000 students in completing their Bachelor's and Master's degrees. With a PhD in Computer Science, I currently serve as a Senior Lecturer in the School of IT & Engineering at MIT Sydney. Prior to this, I spent six years as a Senior Lecturer and Program Leader at Sunway University in Malaysia, where I managed the dual-degree Bachelor of Software Engineering program in collaboration with Lancaster University, UK. Additionally, I have been recognized as a Senior Member of IEEE since 2021.
My research interests encompass a wide range of topics including AI, Data Science, Blockchain, and Empirical Software Engineering. My research has been featured in prestigious high-impact journals such as Future Generation Computer Systems, IEEE Transactions on Reliability, Computers & Security, IEEE Access, Soft Computing, Transactions on Emerging Telecommunications Technologies, and Wireless Networks.