Results for "accelerating+ai+with+gpus"
Skills you'll gain: C and C++, C++ (Programming Language), Development Environment, Performance Tuning, Test Tools, System Programming, Docker (Software), Computer Architecture, Containerization, Development Testing, Programming Principles, Software Development Tools, Hardware Architecture, Algorithms, Computer Programming, Python Programming, Debugging, Memory Management, Software-Defined Networking, Scripting
Skills you'll gain: Model Deployment, Data Cleansing, Data Transformation, Data Preprocessing, Data Storytelling, Feature Engineering, AWS SageMaker, AI Integrations, Systems Architecture, Solution Architecture, Model Optimization, Cloud Computing Architecture, Scalability, MLOps (Machine Learning Operations), System Design and Implementation, Kubernetes, Data Engineering, Cloud Infrastructure, Docker (Software), Prometheus (Software)
Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Systems Architecture, Model Evaluation, Feature Engineering, AI Integrations, Image Analysis, Model Training, Model Deployment, Extract, Transform, Load, Systems Design, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Apache Spark, Natural Language Processing, Pandas (Python Package), Cloud Deployment, Machine Learning, Computer Vision, Computational Thinking
Google Cloud
Skills you'll gain: Hardware Architecture, Google Cloud Platform, Cloud Infrastructure, Model Optimization, Application Specific Integrated Circuits, Performance Tuning, Computing Platforms, Model Training, Cloud Platforms
Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
Google Cloud
Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Hardware Architecture, Model Optimization, Microarchitecture, Model Training, Performance Tuning, AI Workflows, Computer Architecture, Artificial Intelligence, Computing Platforms, Cloud Deployment
What brings you to Coursera today?
Google Cloud
Skills you'll gain: AI Workflows, Hardware Architecture, Computer Hardware, Cloud Infrastructure, Google Cloud Platform, Model Deployment, Cloud Deployment, Model Training, Performance Tuning
Google Cloud
Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Hardware Architecture, Model Optimization, Performance Tuning, Model Training, Cloud Platforms, Computing Platforms, Artificial Intelligence, Computer Architecture
Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Engineering Tools, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Transfer Learning, Data Pipelines, Model Training
Skills you'll gain: Model Optimization, Model Training, Dataflow, AI Workflows, Application Performance Management, Data Pipelines, MLOps (Machine Learning Operations), Data Flow Diagrams (DFDs), Graph Theory, Data Processing, Data Manipulation
Google Cloud
Skills you'll gain: Cloud Deployment, Model Deployment, Model Optimization, Cloud Infrastructure, Google Cloud Platform, Performance Tuning, Model Training, Infrastructure Architecture, Cloud Computing, AI Workflows, Hardware Architecture, Computer Architecture, Artificial Intelligence, Systems Architecture
Skills you'll gain: Systems Architecture, AI Integrations, Cloud Deployment, Systems Design, Model Deployment, System Design and Implementation, Solution Architecture, Cloud Computing Architecture, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Systems Integration, Cloud Management, Distributed Computing, Cloud Services, Performance Tuning, Application Programming Interface (API), Restful API, Requirements Analysis, Business Requirements
In summary, here are 10 of our most popular accelerating+ai+with+gpus courses
- GPU Programming with C++ and CUDA: Packt
- Blueprint to Bytecode: Architecting Scalable AI Systems: Coursera
- Transformers Unleashed: Master the Architecture of Modern AI: Coursera
- AI Infrastructure : Cloud GPU: Google Cloud
- Advanced Deep Learning Architectures: Edureka
- AI Infrastructure: Cloud GPU: Google Cloud
- AI 基礎架構：Cloud GPU: Google Cloud
- Infrastruktur AI: GPU Cloud: Google Cloud
- Generative AI Engineering with LLMs: IBM
- Optimize AI: Build Fast Efficient Pipelines: Coursera
