MLOps.community Courses

Exploring the Impact of Agentic Workflows - MLOps Podcast Episode 268

Dive into the world of AI agents in production with insights on deployment strategies, real-world applications, and practical advice for integrating AI into everyday systems while maintaining human oversight.

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

How to Systematically Test and Evaluate LLM Apps - MLOps Podcast

Dive into systematic testing and evaluation of LLM applications with insights on defining metrics, tracking experiments, and implementing comprehensive unit tests for confident deployment.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Real-Time Event Processing for AI/ML with Numaflow

Simplify real-time event processing and ML inference on streaming data with Numaflow, an open-source Kubernetes-native platform designed for scalability and ease of integration.

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

GPU Accelerated Data Curation for Large Language Models

Explore GPU-accelerated data curation for large language models using NeMo Curator, focusing on scaling high-quality datasets to trillions of tokens for improved LLM performance.

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

Implementing Data Capture for ML Observability and Drift Detection

Implement efficient data capture for ML observability, enabling monitoring and drift detection in complex ML systems with multiple data pipelines and transformations.

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

Data Quality: Preventing, Diagnosing and Curing Bad Data

Uncover strategies to harness quality data, spot and eradicate low-quality information, and optimize decision-making. Learn prevention techniques and diagnostics to elevate data-driven initiatives and build trust.

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

Going Beyond Two-Tier Data Architectures with DuckDB

Explore innovative data architectures using DuckDB, from on-device processing to in-browser SQL. Learn about flexible deployment options and efficient large-scale pipelines.

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

Supercharging Your RAG System: Techniques and Challenges - DE4AI

Explore techniques to enhance retrieval-augmented generation systems, including embedding models, rerankers, and query generation, while addressing current challenges and future directions.

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

Turn Data Chaos into AI Strategy with Programmatic AI Data Development

Aprenda a transformar o caos de dados em estratégia de IA com desenvolvimento programático, acelerando a produção de IA e alinhando modelos a critérios de negócios únicos.

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

How Feature Stores Work: Enabling Data Scientists to Write Petabyte-Scale Data Pipelines for AI/ML

Demystify feature stores and learn to leverage them for scalable AI/ML data pipelines. Gain practical insights on types, functionalities, and integration into ML workflows for enhanced efficiency and performance.

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

Building Data Infrastructure at Scale for AI/ML with Open Data Lakehouses

Explore how data lakehouse architecture with Apache Hudi supports real-world ML and AI use cases. Learn about minute-level data ingestion, feature engineering, and vector generation pipelines for GenAI applications.

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

Building Hyper-Personalized LLM Applications with Rich Contextual Data - DE4AI

Explore Full RAG to enhance AI applications with personalized context. Learn to implement batch, streaming, and real-time data for tailored user experiences across industries.

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

Unified Data and AI Governance with Unity Catalog

Explore Unity Catalog's approach to simplifying governance across diverse data and AI assets, addressing challenges in multi-vendor landscapes and enhancing control over resources.

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

11 Lessons Learned from Doing AI Deployments - DE4AI

Discover 11 crucial lessons for AI product deployment at scale. Gain insights into technical and non-technical challenges faced during the development of 200+ POCs and 40+ production products.

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

The Daft Distributed Python Data Engine: Multimodal Data Curation at Any Scale

Explore Daft, an open-source Python data engine for ML/AI platforms. Learn to build performant data systems using Daft Dataframe and open file formats for ETL, analytics, and dataloading at scale.

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