MLOps World: Machine Learning in Production Courses

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

Hyper-Scaling Real-Time Personalization with Privacy via On-Device Computing

Explore on-device computing for real-time personalization, balancing privacy, latency, and scale while reducing cloud reliance and enhancing ML capabilities.

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

Building Your LLM Factory

Discover strategies for integrating LLMs into enterprise infrastructure, overcoming challenges, and leveraging cloud computing for AI applications.

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

Your AI Applications Need Guardrails: How to Build Them

Learn to build robust guardrails for AI applications, ensuring consistent and accurate outputs from Large Language Models in production environments.

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

Data and Machine Learning at League of Legends

Explore unique data challenges in video games, focusing on model deployment and evolving ML stacks in League of Legends since 2009.

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

GenAI: Lessons Learned from Failed Implementations

Explore real-world examples of failed GenAI implementations in large US enterprises, uncovering key lessons and unique challenges beyond common concerns.

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

How Many Labelled Examples Do You Need for a BERT-sized Model to Beat GPT4 on Predictive Tasks?

Explore the effectiveness of in-context learning vs. labelled data for predictive tasks, comparing BERT-sized models to GPT-4 in text categorization and entity recognition.

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

Supercharging Search with Language Models (LLMs)

Explore how Instacart revolutionized search using Language Models, enhancing user experience with personalized recommendations and improved results.

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

Train and Deploy Models Lightning Fast

Accelerate AI innovation by mastering techniques for rapid model training and deployment, addressing scalability and security challenges in complex AI applications.

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

From Analytics to AI: How Generative AI Can Unlock Data Insights and Transform Decision-Making

Explore the transition from traditional reporting to AI-enabled teams and learn a framework for leveraging AI to drive business impact.

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