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Start 4 June 2026 05:45

Einde 4 June 2026

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Generative AI with Large Language Models

Embark on a transformative learning journey with the Generative AI with Large Language Models (LLMs) course. This intermediate-level course, available on Coursera and developed in collaboration with leading universities, dives deep into the world of generative artificial intelligence, unraveling the complexities of LLMs and their applications in re.
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Embark on a transformative learning journey with the Generative AI with Large Language Models (LLMs) course. This intermediate-level course, available on Coursera and developed in collaboration with leading universities, dives deep into the world of generative artificial intelligence, unraveling the complexities of LLMs and their applications in real-world scenarios.

Designed for learners equipped with a foundational understanding of Python and basic machine learning concepts, this course advances your knowledge in generative AI through a comprehensive curriculum.

Participants will gain in-depth insights into:

  • The core principles of generative AI, including the lifecycle of LLM-based applications from data collection, model selection, to deployment, and performance evaluation.
  • Detailed exploration of the transformer architecture that underpins LLMs, their training processes, and the nuances of model fine-tuning for diverse use cases.
  • Strategies to leverage empirical scaling laws for optimizing LLM objective functions considering dataset size, computational resources, and inference demands.
  • Advanced training, tuning, inference techniques, and deployment strategies to enhance model performance within your project's specific limitations.
  • The burgeoning opportunities and challenges generative AI poses for the business sector, enriched by real-life stories from industry experts and practitioners.

This course will not only equip developers with an advanced understanding of how to effectively train and deploy LLMs but also provide them with the skills to make informed decisions, swiftly prototype, and harness the potential of generative AI for their organizations. Prior experience in Python coding and familiarity with machine learning fundamentals, such as types of learning, loss functions, and data segmentation, are prerequisites.

Those who have completed courses like the Machine Learning Specialization or Deep Learning Specialization from DeepLearning.AI will find this program particularly enriching.

Categorized under Python Courses, Reinforcement Learning Courses, Generative AI Courses, and LLM (Large Language Model) Courses, this course is a gateway to mastering generative AI technologies and their implementation in the ever-evolving tech landscape.


Gegeven door

Antje Barth, Chris Fregly, Shelbee Eigenbrode and Mike Chambers


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