Data-Centric AI Courses and Certifications

MLOps.community

Foundational Models in Enterprise AI - Challenges and Opportunities

Explore the future of AI with foundation models, their enterprise applications, and challenges. Learn about Snorkel AI's approach to optimizing these models for cost, quality, and control.

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

MLOps.community

Monitoring Unstructured Data - Lightning Session

Explore ML observability for unstructured data with Arize. Learn about embeddings, monitoring challenges, and solutions through expert insights and a product demo.

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

MLOps.community

Bringing Structure to Unstructured Data with an AI-First System Design

Explore AI-powered data systems for unstructured content, addressing challenges and sharing key lessons for end-to-end applications in enterprise environments.

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

Snorkel AI

How to Operationalize Knowledge for Data-Centric AI

Explore data-centric AI's philosophy and practical implications, focusing on operationalizing knowledge to programmatically label unstructured data for modern AI applications.

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

Snorkel AI

Practical Paths to Data-Centric AI

Explore data-centric AI with Google experts, covering data quality, feature selection, and large language model deployment. Learn about synthetic data, weak supervision, and data governance.

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

Snorkel AI

The Challenges and Opportunities of Continual Learning in Real-Time Machine Learning

Explore challenges and opportunities in continual learning, covering stages, training types, key issues, and solutions for feature monitoring and evaluation in machine learning ecosystems.

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

Snorkel AI

Scaling Past Rule-Based Systems at the Petabyte Level

Discover how weak supervision scales NLP problems on petabyte-level data, surpassing traditional rule-based and expert-curated systems.

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

Snorkel AI

How Humans and AI Collaborate at JPMorgan Chase

Explore human-in-the-loop machine learning applications at JPMorgan Chase, focusing on practical datasets and methodologies in computer vision and natural language processing.

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

Snorkel AI

Democratizing Machine Learning: MLCommons' Role in Public Datasets and Benchmarks

Explore MLCommons' mission to transform machine learning through benchmarks, best practices, and data. Learn about public datasets' importance and the organization's tools for dataset creation.

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

Snorkel AI

Responsible Data-Centric AI for Healthcare and Medicine

Explore responsible data-centric AI in healthcare with Stanford expert James Zou. Learn about ML algorithms for biomedical applications, deployment challenges, and data evaluation techniques.

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

Snorkel AI

Why Fixing Your Data Can Fix Your Model in Machine Learning

Explore how addressing data issues can improve machine learning models, focusing on cost-effective solutions and identifying crucial data problems to optimize resources.

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

Snorkel AI

Why Detecting Distributional Shift is So Hard and So Important

Explore challenges and opportunities in detecting data distributional shift, a crucial aspect of AI robustness and reliability in real-world applications.

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

Snorkel AI

Data Selection for Data-Centric AI: Quality over Quantity

Learn strategies for effective data selection in AI, focusing on quality over quantity to enhance model performance and efficiency.

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

Snorkel AI

What Landing AI Learned Through Democratizing AI

Explore Landing AI's journey in democratizing AI, focusing on manufacturing challenges, data-centric techniques, and the evolution of Landing Lens for faster iteration and improved performance.

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

Snorkel AI

Why AI Needs New Data Benchmarks and Quality Metrics

Explore DataPerf, a benchmark suite for evaluating ML data quality and optimization algorithms. Learn about the need for data-centric AI benchmarks to advance research and improve real-world applications.

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