Large Language Models (LLMs) and Generative AI (Level 1)
This course provides a comprehensive introduction to Large Language Models (LLMs) and Generative AI, covering foundational concepts, key technologies, and real-world applications. Learners will explore how LLMs function, how they are trained, and how to leverage pretrained models for various tasks. Additionally, the course covers generative AI models, including GANs, VAEs, and diffusion models, and their applications in text, image, and content generation. Ethical implications and responsible use of AI are also discussed.
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Course Duration:
27 Hours
Level:
Beginner to Intermediate
Course Objectives
Understand the fundamentals of AI and Machine Learning.
Gain an in-depth knowledge of Large Language Models (LLMs), their architecture, and training methods.
Explore key generative AI techniques including GANs, VAEs, and diffusion models.
Apply pretrained models to practical NLP tasks such as text generation, classification, and summarization.
Develop hands-on experience using tools like Hugging Face and OpenAI APIs.
Discuss the ethical challenges and responsible use of generative AI technologies.
Prerequisites
Basic understanding of programming (Python preferred).
Familiarity with basic machine learning concepts (e.g., supervised learning, neural networks).
No prior experience in deep learning or generative AI required, but a willingness to learn foundational concepts is necessary.
