MLOps World: Machine Learning in Production Courses

Data Versioning in Generative AI - A Pathway to Cost-effective Machine Learning

Explore data versioning strategies for generative AI, focusing on cost-effective techniques to minimize processing time and API calls while enhancing collaboration and efficient versioning of annotations and embeddings.

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

Building ML and GenAI Systems with Metaflow

Learn to build differentiated AI systems using Metaflow, covering data engineering, model training, and inference for large-scale AI applications in production environments.

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

Efficiently Fine-Tune and Serve Your Own LLMs

Learn to efficiently fine-tune and deploy large language models, optimizing performance and resource utilization for production environments.

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

The Who, What, and Why of Data Lake Table Formats

Explore data lake table formats, their creators, purposes, and significance in modern data architecture. Gain insights into optimizing data management and analytics.

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

Private, Local AI: Running Open-Source LLMs Locally

Explore private AI applications running open-source LLMs locally on personal devices. Learn about encrypted environments for fine-tuning models on sensitive data.

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

The Journey of Building a Leading Open Source LLM Security Toolkit

Explore the development of LLM Guard, an open-source toolkit for securing LLM applications in production. Learn about challenges, solutions, and real-world implementations for confident LLM deployment.

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

The Secret Sauce for Deploying LLM Applications into Production

Discover the key to deploying LLM applications in production through structured evaluation. Learn to log, evaluate, and make critical decisions for successful AI implementation in enterprise settings.

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

Towards Robust GenAI: Techniques for Evaluating Enterprise LLM Applications

Discover emerging automated evaluation solutions for LLMs, combining micro evaluators and human feedback to confidently deploy AI in enterprise applications.

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

Running Multiple Models on the Same GPU on Spot Instances

Optimize ML inference costs through GPU fractionalization and Spot instances. Increase GenAI application throughput while reducing expenses.

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

Introducing Arize-Phoenix and OpenInference for AI Evaluation and Observability

Explore AI observability and evaluation with OpenInference and Arize-Phoenix. Learn practical techniques for incorporating LLMs to guard against hallucinations and poor retrieval.

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

Mitigating RAG Hallucinations with Aporia Guardrails

Explore techniques to reduce hallucinations in Retrieval-Augmented Generation (RAG) systems using Aporia Guardrails, enhancing AI reliability and accuracy.

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

LLMs From Dream to Deployed - Overcoming Deployment Challenges

Overcome LLM deployment challenges and build a chatbot with memory and retrieval functionality for real-world applications.

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

Evaluation Engineering: Iterative Strategies to Testing Prompts

Explore iterative strategies for testing prompts, including backtesting and regression testing, to enhance evaluation engineering in prompt development.

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

Customizable RAG Workflows with Your Own Data

Build customizable RAG workflows using OSS tools and your own data to optimize GenAI applications for corporate environments. Learn best practices and advanced techniques.

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

Applying Responsible AI with the Open-Source LangTest Library

Explore open-source tools for building safe, fair AI models. Learn to address robustness, bias, and data leakage challenges using the LangTest library in MLOps workflows.

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