LAST CALL FOR ENROLLMENT: Rebuild YouTube with AI
The educational course 'Rebuild YouTube with AI' is scheduled to begin on Saturday, September 26. The training is instructed by a former YouTube engineer. Final enrollment for the course closes within 24 hours of the announcement. This course outline details the end-to-end process of building a YouTube-style minimum viable product using AI coding agents. The curriculum covers full-stack web development with React and Postgres, along with core media functionalities like video uploads and authentication. Additionally, it explores multimodal embeddings for semantic search and recommendations, automated testing with Playwright, and deployment onto Vercel. This section advertises multiple live engineering and artificial intelligence courses offered by ByteByteGo. The courses cover topics including AI evaluation, cost optimization, engineering fundamentals, production-grade AI systems, Claude Code, and trust-optimized development. Each program is instructed by experienced industry practitioners from major tech companies such as Meta, Salesforce, Google, and AMD.
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LAST CALL FOR ENROLLMENT: Rebuild YouTube with AI
The educational course 'Rebuild YouTube with AI' is scheduled to begin on Saturday, September 26. The training is instructed by a former YouTube engineer. Final enrollment for the course closes within 24 hours of the announcement.
- The course 'Rebuild YouTube with AI' commences on Saturday, September 26.
- Instruction is provided by a former YouTube engineer.
- Enrollment is open for a final 24-hour window before closing.
What you will learn
This course outline details the end-to-end process of building a YouTube-style minimum viable product using AI coding agents. The curriculum covers full-stack web development with React and Postgres, along with core media functionalities like video uploads and authentication. Additionally, it explores multimodal embeddings for semantic search and recommendations, automated testing with Playwright, and deployment onto Vercel.
- The course guides learners through scoping and architecting a realistic MVP based on YouTube features.
- Developers learn workflows for collaborating with AI agents, including reviewing generated code and recovering from problematic diffs.
- The full-stack implementation utilizes React for the front end and Postgres for backend storage, authentication, and video uploads.
- Semantic search and related video discovery are implemented via multimodal embeddings rather than traditional recommendation engines.
- Application testing and deployment are handled using Playwright and Vercel, paired with an admin dashboard for tracking watch time.
- The course is distributed as part of the ByteByteGo Live subscription.
More live courses we offer:
This section advertises multiple live engineering and artificial intelligence courses offered by ByteByteGo. The courses cover topics including AI evaluation, cost optimization, engineering fundamentals, production-grade AI systems, Claude Code, and trust-optimized development. Each program is instructed by experienced industry practitioners from major tech companies such as Meta, Salesforce, Google, and AMD.
- ByteByteGo offers a six-week course on AI Evals in Practice led by Salesforce Senior Director Manjeet Singh.
- A four-week AI Cost Optimization course is instructed by Meta Engineering Lead Jeremy Hintz.
- Ali Aminian, formerly or currently associated with Google, teaches a four-week course on AI Engineering Fundamentals.
- Meta Senior Staff Engineer John Kim leads a two-day intensive focused on building with Claude Code.
- Tanya Roosta, a Director at AMD holding a PhD from UC Berkeley, leads a six-week course on building production-grade AI systems.
- Test-Driven Development (TDD) creator Kent Beck conducts a two-day intensive on trust-optimized AI development.