MLOps World: Machine Learning in Production Courses

ML Platform Beyond Kaggle Paradigm - Policy-Centric Approach for End-to-End Automation

Explore a policy-centric approach to ML platforms, extending beyond model-centric views to enhance engineering productivity and directly improve business metrics.

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

Retrieval Augmented Generation with LangChain: ChatGPT for Your Data - Part 2

Explore Retrieval Augmented Generation using LangChain. Learn to build and optimize question-answering systems with vector stores, embedding models, and LLMs for private data applications.

• YouTube
• 1 hour 32 minutes
• Self-Paced
• Free Video

Overcoming the Challenges of Building GenAI Apps

Explore challenges and solutions for deploying successful generative AI products, accelerating time-to-market and driving impact.

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

Creating the World's Premier Biological Foundation Model

Explore Recursion's groundbreaking biological foundation model, revolutionizing drug discovery through advanced infrastructure, data management, and large-scale training techniques.

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

Engineering an LLM Application: Chat with MLOps World

Develop a chatbot using MLOps World content, exploring techniques to transform it from concept to production-ready application.

• YouTube
• 1 hour 37 minutes
• Self-Paced
• Free Video

Dreambooth - Stable Diffusion for Custom Images

Explore stable diffusion techniques for creating custom images using Dreambooth. Learn color manipulation, texture enhancement, and image blending to transform ordinary photos into extraordinary art.

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

Retrieval Augmented Generation with LangChain: ChatGPT for Your Data - Part 1

Explore Retrieval Augmented Generation using LangChain to build a question-answering system with private data, leveraging vector stores, embedding models, and LLMs.

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

Evolved Structures: Generative Design and Digital Manufacturing at NASA

Explore NASA's use of generative design and AI prompt engineering to enhance spaceflight missions, reducing costs and improving performance.

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

Getting Higher ROI on MLOps Initiatives

Discover five key lessons for building cohesive MLOps platforms, enhancing self-service capabilities, and maximizing return on investment in machine learning operations.

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

Production ML Serving and Monitoring with Kubernetes

Gain insights into building an MLOps deployment platform using Kubernetes, integrating key technologies for serving and monitoring complex deep learning models.

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

Rapid Iteration and ML Model Deployment at Dropbox

Discover rapid ML model iteration and deployment techniques used at Dropbox, reducing development time from weeks to under an hour.

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

Safely Flying the Generative AI Skies - Managing Risks in AI Coding Tools

Explore risks and strategies for safely managing generative AI coding tools in organizations, supporting innovation while minimizing potential hazards.

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

LLM: From Playgrounds to Production-Ready Pipelines

Explore the journey from LLM playgrounds to enterprise-scale production pipelines, addressing challenges and leveraging MLOps infrastructure for cutting-edge models.

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

Operationalizing Data-Centric AI - Practical Tools to Quickly Improve ML Datasets

Discover practical tools and algorithmic strategies to automatically identify and address dataset issues, improving ML model performance across various data types.

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

Is It Too Much to Ask for a Stable Baseline? - Evaluation and Monitoring in Machine Learning Systems

Explore challenges in ML evaluation and monitoring, focusing on stable baselines in changing environments and their implications for traditional and emerging ML systems.

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