Results for "interpretml"
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
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
Coursera
Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Data Analysis Expressions (DAX), Statistical Reporting, Business Intelligence, Business Reporting, Data Pipelines, Generative AI, Cost Benefit Analysis, Performance Analysis, Model Evaluation, Key Performance Indicators (KPIs), Automation
Skills you'll gain: LangChain, Prompt Engineering, LLM Application, LangGraph, OpenAI API, Generative AI Agents, Agentic systems, AI Workflows, Large Language Modeling, Hugging Face, OpenAI, ChatGPT, Embeddings, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, Application Development, Program Development, Retrieval-Augmented Generation, Artificial Intelligence, Data Processing
Duke University
Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Model Deployment, LLM Application, Generative AI, Performance Analysis, Retrieval-Augmented Generation, Generative Model Architectures, Apache Airflow, Workflow Management, Hugging Face, Amazon Bedrock, Vector Databases, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, Multimodal Prompts, MLOps (Machine Learning Operations)
Skills you'll gain: Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Evaluation, Responsible AI, Large Language Modeling, Model Deployment, Generative AI, Generative Adversarial Networks (GANs), Application Deployment, Application Development, Technical Management, OpenAI API, Data Ethics, AI Enablement, Trend Analysis, Real Time Data, Business Strategy, Python Programming
What brings you to Coursera today?
Skills you'll gain: LangChain, LLM Application, Large Language Modeling, AI Workflows, Retrieval-Augmented Generation, Embeddings, Generative AI, Model Evaluation, Hugging Face, Prompt Engineering, PyTorch (Machine Learning Library), Tensorflow, Semantic Web, Natural Language Processing, Artificial Intelligence, Application Development, Analytical Skills, Application Programming Interface (API), Supervised Learning, Computer Programming Tools
Skills you'll gain: LangChain, LLM Application, Hugging Face, Retrieval-Augmented Generation, OpenAI API, LangGraph, Model Deployment, AI Workflows, Large Language Modeling, AI Orchestration, Generative AI, Generative Model Architectures, CI/CD, Embeddings, Text Mining, Containerization, Restful API, Open Source Technology, Data Preprocessing, Docker (Software)
Skills you'll gain: Retrieval-Augmented Generation, Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, Model Evaluation, LangChain, Large Language Modeling, Hugging Face, Transfer Learning, Model Deployment, Responsible AI, Performance Tuning, AI Workflows, Generative AI, LangGraph, Embeddings, Context Management, Vector Databases
Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Logistic Regression, Deep Learning, Artificial Neural Networks
Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Text Mining, Applied Machine Learning, Performance Tuning
In summary, here are 10 of our most popular interpretml courses
- LLM Engineering That Works: Prompting, Tuning, and Retrieval:Â Coursera
- Build Next-Gen LLM Apps with LangChain & LangGraph:Â Coursera
- Generate Insights with LLMs:Â Coursera
- Langchain and Langgraph:Â Packt
- Large Language Model Operations (LLMOps):Â Duke University
- Harnessing LLMs: Strategy, Fine-Tuning & Evaluation:Â Coursera
- LLM Application Engineering and Development Certification:Â Simplilearn
- Building LLMs with Hugging Face and LangChain:Â Edureka
- LLM Engineering: Prompting, Fine-Tuning, Optimization & RAG:Â Edureka
- Gen AI Foundational Models for NLP & Language Understanding:Â IBM
