MLOps.community Courses

Building a Python-Centric Feature Platform to Power Production AI Applications

Explore Tecton's journey in developing a Python-based platform for powering large-scale real-time AI applications. Learn about reliable solutions for productionizing AI using only Python skills.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

From Research to Production: Fine-Tuning and Aligning LLMs

Learn essential steps for transitioning LLMs to production, focusing on fine-tuning and alignment strategies. Explore Supervised Fine-Tuning, RLHF, and DPO for effective LLM alignment with production goals.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Charting LLMOps Odyssey - Navigating Large Language Model Operations

Navigate the iterative development of LLM applications, addressing unique challenges in LLMOps design. Learn strategies for overcoming obstacles and adapting to the evolving landscape of large language model operations.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Designing ML Infrastructure for ML and LLM Use Cases

Explore best practices for building scalable ML infrastructure tailored to ML and LLM use cases. Gain insights on reusable architectures, maturity metrics, and navigating challenges in MLOps implementation.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Building the Next Generation of Reliable AI - Lessons and Predictions

Explore insights on developing reliable AI tools, learn from real-world experiences, and gain predictions on future AI tooling trends. Discover effective techniques and emerging breakthroughs in open-source AI development.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Anatomy of a Software 3.0 Company - AI in Production Keynote

Explore the design space of AI-native applications and learn Conviction's framework for assessing value, defensibility, and strategy in Software 3.0 companies.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

The Art and Science of Training Large Language Models

Explore challenges and strategies in training large language models with insights from MosaicML experts. Gain practical knowledge on model optimization, data complexities, and efficient AI development.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Managing Data for Effective GenAI Application - MLOps Podcast #216

Explore data management strategies for effective GenAI application with QuantumBlack AI experts. Learn about challenges, solutions, and best practices for scaling impact and improving data quality in organizations.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

A Survey of Production RAG Pain Points and Solutions

Explore production challenges and solutions for Retrieval Augmented Generation (RAG) in LLM applications. Learn about pain points, evolving architectures, and strategies for building robust AI systems.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Information Retrieval and Relevance: Vector Embeddings for Semantic Search

Explore vector embeddings for semantic search, learning techniques to create meaningful representations and apply them in information retrieval systems. Gain insights from an experienced technologist.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Ads Ranking Evolution at Pinterest - From Logistic Regression to Deep Learning

Explore Pinterest's ads ranking evolution, from logistic regression to deep learning transformers, incorporating sequential signals and multi-task learning. Gain insights on overcoming challenges and advancing ML platforms.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

LLM Evaluation: Challenges and Best Practices - MLOps Podcast #210

Explore LLM evaluation complexities, Phoenix library's role, and customized assessments in AI applications. Gain insights on fine-tuning, model selection, and production deployment for effective AI implementation.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

How Data Platforms Affect Machine Learning and Artificial Intelligence - MLOps Podcast

Explore how data platforms impact AI and ML applications, covering foundations, design patterns, data quality, and team structures for effective ML implementation.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

RAG Has Been Oversimplified - Exploring Complexities in Retrieval Augmented Generation

Explore the complexities of Retrieval Augmented Generation (RAG) beyond its oversimplified portrayal. Gain insights into practical challenges and nuanced considerations for developers working with RAG systems.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Challenges Operationalizing Machine Learning and Solutions

Explore challenges and solutions in operationalizing ML systems. Learn about team dynamics, communication issues, and MLOps from an SRE/DevOps perspective. Gain practical guidance for adopting best practices in this evolving field.

• YouTube
• 52 minutes
• Self-Paced
• Free Video