Results for "debugging+dependency+conflicts+using+llms"
Duke University
Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Model Deployment, LLM Application, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, Apache Airflow, Hugging Face, Amazon Bedrock, Vector Databases, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, MLOps (Machine Learning Operations), Performance Tuning, Prompt Patterns, OpenAI API
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: 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
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
What brings you to Coursera today?
Coursera
Skills you'll gain: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Statistical Methods, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming
Skills you'll gain: Regression Testing, Debugging, Unit Testing, Test Case, Code Review, Root Cause Analysis, Software Documentation
Packt
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)
Skills you'll gain: Real-Time Operating Systems, Embedded Software, Embedded Systems, System Software, Software Architecture, Computer Engineering, Hardware Architecture, Systems Architecture, Build Tools, Dependency Analysis, Cross Platform Development, Linux, Software Design Patterns, C++ (Programming Language)
Skills you'll gain: MLOps (Machine Learning Operations), LLM Application, AI Security, Test Automation, Test Script Development, Test Driven Development (TDD), Unit Testing, CI/CD, Continuous Integration, Software Testing, Testability, Large Language Modeling, Model Deployment, Test Case, Responsible AI, Security Testing, AI Workflows, Python Programming, Statistical Analysis, SQL
In summary, here are 10 of our most popular debugging+dependency+conflicts+using+llms courses
- Large Language Model Operations (LLMOps):Â Duke University
- Build Next-Gen LLM Apps with LangChain & LangGraph:Â Coursera
- Advanced LLM Design: Retrieval, Context, and Prompts:Â Packt
- Optimizing, Deploying, and Governing LLMs in the Enterprise:Â Packt
- LLM Engineering That Works: Prompting, Tuning, and Retrieval:Â Coursera
- Designing Production LLM Architectures:Â Coursera
- Building Reliable LLM Systems:Â Coursera
- Debug ML Code: Fix, Trace & Evaluate:Â Coursera
- LLMs in Enterprise:Â Packt
- Building LLMs with Hugging Face and LangChain:Â Edureka
