Results for "llm+fine-tuning"
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: 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: 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
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: Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Evaluation, Responsible AI, Fine-tuning, LangChain, Model Optimization, Large Language Modeling, Generative Model Architectures, Model Deployment, Generative AI, Generative Adversarial Networks (GANs), Application Deployment, Application Development, AI literacy, Technical Management, Business Strategy, Python Programming
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
What brings you to Coursera today?
DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Model Optimization, Hugging Face, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Model Training, Fine-tuning, Generative AI, Embeddings, Supervised Learning, Large Language Modeling, Artificial Intelligence
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: Prompt Engineering, Prompt Patterns, Data Wrangling, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Prompt Engineering Tools, LLM Application, Keras (Neural Network Library), Responsible AI, Vector Databases, Fine-tuning, Programming Principles
Skills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Transfer Learning, Model Evaluation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Prompt Engineering Tools, Vision Transformer (ViT), Keras (Neural Network Library), Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
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
Board Infinity
Skills you'll gain: Unit Testing, TypeScript, Angular, Software Testing, Development Testing, Test Case, Frontend Performance, Software Design, UI Components, Application Programming Interface (API), Restful API, Application Deployment, Frontend Integration, Enterprise Architecture, User Interface (UI), Application Frameworks, JavaScript Frameworks, Scalability, Software Architecture, Performance Tuning
In summary, here are 10 of our most popular llm+fine-tuning courses
- LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
- LLM Optimization & Evaluation: Coursera
- LLM Engineering: Prompting, Fine-Tuning, Optimization & RAG: Edureka
- Generate Insights with LLMs: Coursera
- Harnessing LLMs: Strategy, Fine-Tuning & Evaluation: Coursera
- Large Language Model Operations (LLMOps): Duke University
- Deep Learning: DeepLearning.AI
- Build Next-Gen LLM Apps with LangChain & LangGraph: Coursera
- IBM Generative AI Engineering: IBM
- IBM AI Engineering: IBM
