Generative AI & LLMs: Foundations to Hands-on Development

🌟 Course Title: Generative AI & LLMs: Foundations to Hands-on Development

🚀 Course Headline: Master Generative AI, Large Language Models (LLMs), GPT models, Hugging Face Transformers, Python, Google Colab, and PyTorch with our comprehensive online course!

📘 Course Description:

Embark on an exciting journey into the world of Generative AI & LLMs! This course, led by the esteemed expert Mohammad Dabbagh, is meticulously crafted for learners from beginners to advanced practitioners. It will guide you through the evolution of Language AI and empower you with the foundational knowledge and practical skills required to thrive in the dynamic field of Artificial Intelligence (AI).

🧬 Course Highlights:

• Theoretical Framework: Gain a profound understanding of the principles behind Large Language Models (LLMs), tracing their evolution, from the first models to the state-of-the-art GPT series and transformers. Discover how self-attention mechanisms have revolutionized the way machines understand and generate human-like text.
• Text Representation & Modeling: Explore the intricacies of text representation with word embeddings and neural networks, distinguishing between representation and generative models such as BERT, GPT, and more. Learn the differences and applications of these models for various tasks.
• Hands-on Experience: Engage in a hands-on lab where you’ll apply your knowledge by building your own Generative AI chatbot using Python and Hugging Face’s GPT-2 model. This practical experience is designed to solidify your theoretical understanding.
• Real-world Applications & Ethics: Understand the vast array of applications for LLMs, from natural language processing to creative writing. Also, delve into the ethical considerations and societal impacts that come with this powerful technology.

🎉 What You Will Learn:

• The history and evolution of Language AI and Large Language Models (LLMs)
• How Generative Pre-trained Transformers (GPT) work and their impact on AI
• Cutting-edge advancements in natural language understanding and generation
• PyTorch for deep learning applications, particularly for LLMs
• Practical implementation using Google Colab and the Hugging Face ecosystem
• Ethical considerations of deploying LLMs in various sectors

👩‍🏫 Why Take This Course?

This course is a gateway to becoming proficient in AI, specifically within the domain of language models. Whether you are a student aspiring to push the boundaries of what’s possible, a developer looking to add new strings to your tech bow, a researcher keen on exploring the forefront of LLMs, or a professional aiming to integrate these technologies into your business for innovation and efficiency, this course will provide you with the knowledge and skills needed.

‘;
}});