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
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), 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 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, Application Deployment, Continuous Deployment, Incident Management, IT Automation
What brings you to Coursera today?
Skills you'll gain: Performance Testing, Performance Tuning, Performance Stress Testing, Model Optimization, Algorithms, Performance Analysis, Performance Metric, Memory Management, Theoretical Computer Science
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
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
Skills you'll gain: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Fine-tuning, 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: Prompt Engineering, Agentic Workflows, MongoDB, Retrieval-Augmented Generation, Vector Databases, Generative AI Agents, Scalability, Model Context Protocol, Context Engineering, Data Architecture, Systems Design, Tool Calling, System Design and Implementation, Development Environment, Embeddings, PostgreSQL, Database Design, Object-Relational Mapping, Data Modeling, SQL
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
In summary, here are 10 of our most popular accelerating+ai+with+gpus courses
- GPU Programming with C++ and CUDA:Â Packt
- Blueprint to Bytecode: Architecting Scalable AI Systems:Â Coursera
- Transformers Unleashed: Master the Architecture of Modern AI:Â Coursera
- Generative AI Engineering with LLMs:Â IBM
- Advanced Deep Learning Architectures:Â Edureka
- GenAI Ops: Running Powerful Generative AI Systems:Â Coursera
- Optimize and Benchmark AI Algorithms for Speed:Â Coursera
- Optimize AI: Build Fast Efficient Pipelines:Â Coursera
- Architecting and Integrating Scalable AI Systems :Â Coursera
- Building and Optimizing AI Models :Â Coursera
