Master advanced large language models concepts with expert-level content and cutting-edge techniques.
Strong foundation in linear algebra, calculus, and optimization
Expert Python skills; experience with ML frameworks
Transformers, explained: Understand the model behind GPT, BERT, and T5
AdvancedState-of-the-Art Machine Learning Papers Implementation
AdvancedNatural Language Processing Specialization
AdvancedStatistical Learning
AdvancedIntroduction to Large Language Models
BeginnerGenerative AI with Large Language Models
IntermediateLarge Language Model Operations (LLMOps) Specialization
IntermediateFree LLMOps Course: Master Large Language Model Ops
IntermediateTransformers, explained: Understand the model behind GPT, BERT, and T5
AdvancedState-of-the-Art Machine Learning Papers Implementation
AdvancedNatural Language Processing Specialization
AdvancedStatistical Learning
AdvancedIntroduction to Large Language Models
BeginnerGenerative AI with Large Language Models
IntermediateLarge Language Model Operations (LLMOps) Specialization
IntermediateFree LLMOps Course: Master Large Language Model Ops
IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
Learn Transformers, explained: Understand the model behind GPT, BERT, and T5
State-of-the-Art Machine Learning Papers Implementation
Complete natural language processing specialization covering transformers, attention mechanisms, and modern NLP techniques.
A beginner-level micro-learning course that provides an overview of Large Language Models, including their architecture, frameworks, and applications. It also introduces fundamental NLP concepts.
Generative AI with Large Language Models
A specialization from Duke University that covers a range of topics from generative AI techniques to managing open source LL Ms on various platforms like Azure, AWS, and Databricks. It provides hands-on experience in designing, deploying, and scaling language models.
An introductory course that covers the fundamentals of managing and deploying Large Language Models (LL Ms) in production. It includes topics on deployment, monitoring, fine-tuning, scaling, and automating workflows using tools like TensorFlow and Hugging Face.
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Enroll in this path to track your progress and stay motivated.