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  • Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Fine-tuning, LLM Application, Token Optimization, Hugging Face, Model Optimization, Model Training, Model Evaluation, Machine Learning, Data Science

  • Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)

  • Skills you'll gain: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Fine-tuning, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Network Architecture, Performance Testing

  • Skills you'll gain: Transfer Learning, Image Analysis, Fine-tuning, Computer Vision, Model Evaluation, Model Training, Model Optimization, Verification And Validation, Model Deployment, Performance Metric, Data Pipelines, Quality Assessment, Performance Measurement, Data Quality, Applied Machine Learning, Performance Analysis, Predictive Modeling, Analysis, Statistical Machine Learning, Statistical Modeling

  • Skills you'll gain: Model Evaluation, Fine-tuning, Model Optimization, Hugging Face, Model Deployment, Model Training, Transfer Learning, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Generative Model Architectures, Application Deployment, Data Preprocessing, Data Pipelines, Embeddings, Version Control, Git (Version Control System)

  • Skills you'll gain: Retrieval-Augmented Generation, Model Context Protocol, Agentic Workflows, Prompt Engineering, Anthropic Claude, Application Programming Interface (API), Prompt Patterns, Prompt Engineering Tools, LLM Application, JSON, AI Integrations, Generative AI Agents, AI literacy, Tool Calling, Generative AI, Scripting, Token Optimization, Document Management, Context Engineering, Agentic systems

What brings you to Coursera today?

  • Skills you'll gain: Fine-tuning, Hugging Face, Model Training, Large Language Modeling, Transfer Learning, Rust (Programming Language), Data Validation, Model Optimization, Model Deployment, Generative AI, Verification And Validation, System Requirements, Model Evaluation, Generative Model Architectures, Hardware Architecture, Data Quality, Data Compilation

  • Skills you'll gain: Model Deployment, Application Deployment, Model Optimization, Cloud Deployment, Fine-tuning, Containerization, Large Language Modeling, Docker (Software), Model Evaluation, API Design, Performance Tuning, Scalability, Memory Management

  • Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Docker (Software), Containerization, Application Deployment, Restful API, API Design, Scalability, Application Programming Interface (API), Data Validation, Software Versioning, Performance Tuning

  • Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Generative AI, Performance Tuning, Data Migration, Grafana, LangChain, LLM Application, Metadata Management, Containerization, Document Management, Data Infrastructure, Role-Based Access Control (RBAC), Database Architecture and Administration, Infrastructure Architecture, Large Language Modeling, Query Languages, Quantitative Research, Data Modeling, Docker (Software)

  • Skills you'll gain: Fine-tuning, Model Optimization, Model Training, Generative AI, Model Evaluation, Large Language Modeling, Version Control, Performance Tuning, Development Environment, Data Preprocessing, Natural Language Processing, Linear Algebra

  • Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Deep Learning, Vision Transformer (ViT), Transfer Learning, Convolutional Neural Networks, Model Optimization, Model Training, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Distributed Computing, Data Preprocessing, Embeddings, Memory Management