Results for "analyzing code with an llm"
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
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: 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
Coursera
Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Model Optimization, Business Intelligence, Business Reporting, Model Training, Fine-tuning, Data Pipelines, Generative AI, Cost Benefit Analysis, Performance Analysis, Model Evaluation, Key Performance Indicators (KPIs), Quality Assessment
Skills you'll gain: Code Review, DevSecOps, Maintainability, Software Quality (SQA/SQC), Software Quality Assurance, Secure Coding, Application Security, Software Technical Review, Continuous Integration, Continuous Deployment, CI/CD, Vulnerability Scanning, Vulnerability Management, Analysis, Cyber Security Assessment, Security Strategy, Cyber Governance, Security Management, Cyber Security Strategy, Security Awareness
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
What brings you to Coursera today?
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
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: Diagram Design, Unified Modeling Language, Cloud Deployment, Model Deployment, Information Privacy, MLOps (Machine Learning Operations), Application Programming Interface (API), AI Product Strategy, Analysis, Data Pipelines, Cloud API, Feature Engineering, Cost Management, Performance Analysis, Business Risk Management
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
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
Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Responsible AI, Large Language Modeling, Hugging Face, Multimodal Prompts, Generative AI, Generative Model Architectures, Retrieval-Augmented Generation, Generative AI Agents, Risking, AI Orchestration, Fine-tuning, Python Programming, Vector Databases, Machine Learning, Agentic systems, Data Science
In summary, here are 10 of our most popular analyzing code with an llm courses
- Designing Production LLM Architectures: Coursera
- LLM Optimization & Evaluation: Coursera
- LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
- Generate Insights with LLMs: Coursera
- Static Code Analysis with SonarQube and SonarLint: Edureka
- LLMs in Enterprise: Packt
- Build Next-Gen LLM Apps with LangChain & LangGraph: Coursera
- Large Language Model Operations (LLMOps): Duke University
- Design, Compare and Analyze LLM Architectures: Coursera
- AI & LLM Engineering Mastery - GenAI, RAG Complete Guide: Packt
