Results for "nvidia bionemo llm service"
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)
Coursera
Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), Fine-tuning, User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Model Optimization, Data Pipelines, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control
Skills you'll gain: LLM Application, Kubernetes, Systems Architecture, Large Language Modeling, Data Pipelines, Software Architecture, Software Design, Model Deployment, Application Deployment, Microservices, Apache Airflow, Containerization, Infrastructure Architecture, Cloud-Native Computing, Scalability, AWS CloudFormation, Managed Services, Azure DevOps, Open Source Technology, Diagram Design
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Optimization, Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Model Training, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
Packt
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Deployment, Responsible AI, Large Language Modeling, Fine-tuning, MLOps (Machine Learning Operations), Multimodal Prompts, Prompt Patterns, Enterprise Application Management, Application Deployment, Model Optimization, AI Workflows, Model Evaluation, Data Management, Model Training, Generative AI, Embeddings, API Design
Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, Prompt Patterns, AI Workflows, Generative Model Architectures, Fine-tuning, Model Deployment, Token Optimization, Applied Machine Learning, Hugging Face, Programming Principles, Application Deployment, Memory Management, Object Oriented Programming (OOP), Context Management, API Testing, Document Management, Model Optimization, Embeddings, Software Installation
What brings you to Coursera today?
Skills you'll gain: Retrieval-Augmented Generation, Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, Fine-tuning, Model Evaluation, Context Engineering, LangChain, Token Optimization, Large Language Modeling, Hugging Face, Transfer Learning, Model Optimization, Model Deployment, Generative AI, LangGraph, Context Management, Vector Databases
Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, LLM Application, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Model Training, Recurrent Neural Networks (RNNs)
Skills you'll gain: LangChain, LLM Application, Prompt Engineering, API Design, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Microservices, Application Deployment, Kubernetes, Scalability, Site Reliability Engineering, DevOps, CI/CD, Docker (Software), Python Programming, Containerization, System Monitoring, Cloud Platforms, Security Controls
Skills you'll gain: LangChain, LLM Application, Hugging Face, Retrieval-Augmented Generation, Prompt Patterns, LangGraph, Model Deployment, AI Workflows, Large Language Modeling, AI Orchestration, Generative AI, Token Optimization, Generative Model Architectures, AI Integrations, Fine-tuning, Embeddings, Data Pipelines, Containerization, Restful API, Docker (Software)
Pragmatic AI Labs
Skills you'll gain: Retrieval-Augmented Generation, Amazon Bedrock, LLM Application, AWS SageMaker, Token Optimization, Large Language Modeling, Amazon Web Services, No-Code Development, Prompt Engineering, Generative AI, AI Orchestration, Model Deployment, Generative AI Agents, Package and Software Management, Model Training, Rust (Programming Language), Model Optimization, Performance Tuning, Data Wrangling
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
In summary, here are 10 of our most popular nvidia bionemo llm service courses
- Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
- LLM Optimization & Evaluation: Coursera
- Designing Production LLM Architectures: Coursera
- LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
- LLMs in Enterprise: Packt
- AI & LLM Engineering Mastery - GenAI, RAG Complete Guide: Packt
- LLM Engineering: Prompting, Fine-Tuning, Optimization & RAG: Edureka
- Generative AI and LLMs: Architecture and Data Preparation: IBM
- Build Next-Gen LLM Apps with LangChain & LangGraph: Coursera
- Building LLMs with Hugging Face and LangChain: Edureka
