LLMOps Courses and Certifications

Foundations of Local Large Language models

10 ratings at Coursera

Gain hands-on experience with local Large Language Models, from setup to deployment, exploring tools, programming languages, and responsible AI practices.

• Coursera
• 23 hours 25 minutes
• On-Demand
• Free Online Course (Audit)

2024 Bootcamp: Generative AI + LLM App Development.

1247 ratings at Udemy

From zero to professional level: learn the keys to AI and build the most potential Generative AI applications.

• Udemy
• 2 days 23 hours 22 minutes
• On-Demand
• Paid Course

LLMOps Concepts

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

• DataCamp
• 3 hours
• On-Demand
• Free Trial Available

LLMOps

Develop an LLMOps pipeline: preprocess data, configure tuning, deploy custom LLMs, and monitor safety for tailored applications like Python coding chatbots using BigQuery, Kubeflow, and Google Cloud.

• Coursera
• 1 hour 3 minutes
• On-Demand
• Paid Course

Databricks

Large Language Models: Application through Production

45 ratings at edX

This course is aimed at developers, data scientists, and engineers looking to build LLM-centric applications with the latest and most popular frameworks. By the end of this course, you will have built an end-to-end LLM workflow that is ready for producti…

• edX
• 6 weeks, 4-10 hours a week
• On-Demand
• Free Online Course (Audit)

Advanced LLMOps: Deploying and Managing LLMs in Production

2 ratings at LinkedIn Learning

Learn advanced techniques and best practices for deploying and monitoring large language models in production environments.

• LinkedIn Learning
• 1 hour 45 minutes
• On-Demand
• Free Trial Available

Snorkel AI

How to Improve LLM Factual Accuracy and Reliability

Explore techniques for improving LLM factual accuracy, including DSP framework and MLflow LLMOps tools, to create reliable AI applications for production use.

• YouTube
• 29 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

Converting Qwen2-VL 2B Model to OpenVino IR Format for CPU Inference

Learn how to convert and optimize Qwen2-VL 2B model for CPU inference using OpenVino IR format, with practical implementation steps and performance insights.

• YouTube
• 34 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

vLLM Inference and LLM Server Engine for Machine Learning

Discover how to leverage vLLM for efficient large language model inference and serving, including practical implementation techniques and deployment strategies.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Conf42

Operational Excellence for LLMs Using Amazon Bedrock - Conf42 LLMs 2024

Explore operational excellence for LLMs using Amazon Bedrock. Learn design principles, LLMOps, model lifecycle, customization, and architectural patterns for effective implementation and evaluation.

• YouTube
• 33 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

LLMOps: OpenVino Toolkit Quantization 4int LLama 3.2 3B and Inference on CPU

Optimize LLama3.2 3B model with OpenVino Toolkit: Convert to IR format, quantize to 4Int, and perform CPU inference using CoT prompts.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Data Science Festival

MLOps and LLMOps: From Prompt to Observability - Lecture 1

Explore MLOps, AI observability, and LLMOps integration. Gain insights on implementing AI stores for enhanced management and governance of traditional and generative AI solutions across organizations.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Qdrant - Vector Database & Search Engine

Teaching Vector Databases at Scale

Discover how vector databases are being integrated into university curricula and online learning platforms, with insights on implementing RAG patterns and scaling database education.

• YouTube
• 36 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

Evaluating LLM Responses with MLflow

Master MLflow's evaluation features to assess and analyze Large Language Model responses, enhancing your ability to measure and improve AI model performance.

• YouTube
• 59 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

LLMOps with MLflow - Document Classification Using Fine-Tuned LLM Models

Master end-to-end document classification using MLflow for LLM fine-tuning, inference, and deployment with Docker. Build robust APIs and implement CI pipelines for efficient machine learning operations.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video