Full Stack Deep Learning

Full Stack Deep Learning is a comprehensive free online course that teaches developers and engineers how to build, deploy, and iterate on AI-powered products. The course bridges the gap between academic machine learning knowledge and real-world production systems, covering the entire lifecycle from problem formulation to deployment and monitoring.

The course provides practical, hands-on education for building production-ready AI applications, drawing from real industry experience and best practices.

• End-to-End ML Lifecycle Coverage teaches the complete journey from problem definition through data management, model training, deployment, and continuous improvement in production environments.

• Production-Focused Curriculum emphasizes practical skills needed to ship AI products, including infrastructure setup, MLOps practices, and debugging production systems.

• Project-Based Learning allows students to apply concepts through hands-on projects that simulate real-world AI development challenges.

• Industry Best Practices shares insights from practitioners at leading AI companies on how to effectively build and scale machine learning systems.

• Free and Accessible provides all course materials, lectures, and resources at no cost, making high-quality AI education available to everyone.

• Community Learning connects students with a community of practitioners working on similar challenges in AI product development.

To get started, visit the course website and access the lecture videos, slides, and supplementary materials. The course is self-paced, allowing learners to progress through modules covering topics like ML projects lifecycle, infrastructure and tooling, troubleshooting and testing, data management, deployment, and team organization. Students can follow along with the provided code examples and complete projects to reinforce their learning.