Courses from 1000+ universities
Discover an easier way to explore affordable, credit-worthy online courses with our expanded community college catalog.
600 Free Google Certifications
Communication Skills
Software Development
Digital Marketing
How to Write Your First Song
Bioseguridad y equipo de protección para la prevención de COVID-19
Let's Get Started: Building Self-Awareness
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore innovations in transformer-based architectures, efficient fine-tuning, deployment considerations, and multi-modal developments for large language models in this comprehensive deep dive.
Explore MLOps on Azure Databricks with MLflow, focusing on Model Registry, Webhooks, and automated pipelines for effective machine learning model lifecycle management and deployment.
Learn probability, Bayesian modeling, and inference using Python and Jupyter notebooks. Gain hands-on experience with distributions, sampling algorithms, and computational statistics techniques.
This course is aimed at developers, data scientists, and engineers looking to build LLM-centric applications with the latest and most popular frameworks. By the end of this course, you will have built an end-to-end LLM workflow that is ready for producti…
Learn PyMC3 for Bayesian modeling and inference, covering basics, regression, classification, hierarchical models, metrics, and a COVID-19 case study. Hands-on examples using Python and Jupyter notebooks.
Explore Markov Chain Monte Carlo methods for Bayesian modeling and inference, with hands-on Python examples using PyMC3. Learn algorithms like Metropolis, Gibbs sampling, and Hamiltonian Monte Carlo.
Explore Databricks Lakehouse Platform's architecture, focusing on data reliability, Delta Lake features, and Photon's performance enhancements for efficient data management and analytics.
Explore Rust for efficient data engineering, from low-level bit manipulation to high-performance DataFrames using Apache Arrow. Learn optimization techniques and benchmarks for improved data processing.
Explore building a data platform using LakeHouse Architecture, focusing on data curation, GDPR compliance, and open-source technologies to empower businesses with reliable, timely, and accessible data.
Learn to run Apache Spark on Kubernetes using spot instances for cost savings. Discover best practices, code examples, and techniques to handle spot interruptions while maintaining reliability and performance.
Explore unsupervised ML algorithms for scalable data quality monitoring in Databricks, covering implementation, strengths, weaknesses, and practical applications for effective data management.
Discover how to build, train, and deploy ML models using Databricks AutoML and low-code tools, empowering users of all expertise levels to create predictive analytics solutions.
Optimize Spark streaming app performance through configurations, code improvements, and custom data source implementation for processing 700 MB/s of compressed data with strict KPIs.
Discover how to implement a scalable demand forecasting solution using Databricks and MLflow, improving retail efficiency and reducing food waste through accurate production and delivery planning.
Discover Databricks Workflows: a managed orchestration service for streamlined data pipelines. Learn to create, run, and monitor reliable workflows, implement recovery actions, and explore new features for efficient data management.
Get personalized course recommendations, track subjects and courses with reminders, and more.