MLOps World: Machine Learning in Production Courses

Wanted: A Silver Bullet MLOps Solution for Enterprise

Explore key learnings from a 4-year MLOps journey in pharmaceutical research, addressing challenges in tool selection, user diversity, and scalable solutions for operationalizing ML models.

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

From Model T to Machine Learning: Ford's MLOps and Hybrid Infrastructure Strategy

Explore Ford's AI/ML platform journey, from inception to present day. Learn about product strategy decisions, challenges, and organizational hurdles in modernizing a traditional company.

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

Intelligent Writing Assistants in the Era of Large Language Models

Explore the evolution of intelligent writing assistants, their challenges, and future potential in enhancing effective communication through advanced language models and human feedback.

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

Low-latency Model Inference in Finance - A Close Look at Seldon V2

Explore low-latency model inference in finance using Seldon V2, focusing on high resilience and rapid service response for critical business applications.

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

Synthetic Data: Generative AI for Enhanced Data Quality in the Era of Foundational Models

Explore synthetic data's transformative potential in AI, focusing on data quality, augmentation, bias, and privacy for foundational language models.

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

Supercharging Recommender Systems - Unleashing the Power of Distributed Model Training

Explore distributed model training techniques to enhance recommender systems, boosting performance and scalability for production environments.

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

Avoid ML OOps with ML Ops - A Modular Approach to Scaling End-to-End ML Platforms

Discover a step-by-step approach to building a scalable ML infrastructure. Learn to identify key areas for improvement, implement modular components, and enhance your end-to-end ML lifecycle for efficient, automated operations.

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

Evolution of ML Training and Serving Infrastructure at Pinterest Ads

Explore Pinterest Ads' ML infrastructure evolution, from logistic regression to transformer models, and learn key challenges and lessons in revolutionizing ad capabilities.

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

Quality Assurance in Machine Learning: Enhancing Trust and Reliability

Explore quality assurance in machine learning, its importance, and strategies for enhancing AI trustworthiness through lessons from other disciplines and best practices in MLOps and data science.

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

Learning from Extremes: What Fraud-Fighting at Scale Can Teach Us About MLOps Across Domains

Explore how anti-fraud MLOps practices can simplify architectures, enhance observability, and boost agility across various ML domains.

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

Making ChatGPT Funny with Prompt Optimization - MLOps World

Discover techniques to enhance ChatGPT's humor through prompt engineering, overcoming AI limitations and unlocking its comedic potential.

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

Evaluation Techniques for Large Language Models

Gain practical tools and best practices for evaluating and selecting large language models. Explore evaluation suites, competition approaches, and ethical considerations.

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

Lessons Learned Productionising Large Language Models for Stripe Support

Explore lessons from implementing large language models for Stripe's support operations, focusing on answering user questions efficiently with minimal training data.

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

Lessons Learned: The Journey to Real-Time Machine Learning at Instacart

Explore Instacart's transition to real-time machine learning, focusing on infrastructure, use cases, challenges, and key lessons for implementing ML in a dynamic marketplace.

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

LLM Economics - The Cost of Leveraging Large Language Models

Explore the economic realities of deploying LLMs in production, comparing costs of RAG vs fine-tuning and open-source vs commercial models.

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