Results for "accelerating ai with gpus"
Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Prompt Engineering Tools, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, LLM Application, Generative Model Architectures, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, Recurrent Neural Networks (RNNs)
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
Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Software Documentation, Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Model Training, Deep Learning, Model Optimization, Applied Machine Learning, Network Architecture
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: 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 Optimization, PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Model Training, AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Dashboard, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation
What brings you to Coursera today?
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
Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Model Training, Deep Learning, Performance Analysis, Artificial Neural Networks, Resource Utilization
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: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis
Skills you'll gain: Model Optimization, Cloud Security, Stakeholder Communications, Stakeholder Management, Stakeholder Engagement, Risking, Data Ethics, Data Governance, Data Security, Enterprise Architecture, Dashboard Creation, Generative Model Architectures, Executive Presence, Security Architecture Review, Professional Development, Data Management, Financial Forecasting, Application Deployment, Continuous Deployment, Incident Management
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
In summary, here are 10 of our most popular accelerating ai with gpus courses
- Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs:Â Whizlabs
- Advanced Deep Learning Architectures:Â Edureka
- Start Neural Networks Advanced Model Architectures:Â Coursera
- AI Infrastructure : Cloud GPU:Â Google Cloud
- GPU Programming with C++ and CUDA:Â Packt
- Optimizing AI Workflows and Deploying Edge Models:Â Coursera
- Transformers Unleashed: Master the Architecture of Modern AI:Â Coursera
- Optimize PyTorch: Build and Accelerate Layers:Â Coursera
- Generative AI Engineering with LLMs:Â IBM
- Generative AI Models and GPU Systems:Â Edureka
