Getting Started - Build AI Platforms From Scratch Free Course

Video Description

Learn how to architect, design, and build AI-powered platforms—no coding experience required. This isn't a traditional programming course. Instead, you'll master the systems thinking, architectural patterns, and design principles needed to create sophisticated AI platforms in the age of AI-powered development tools. Whether you're a founder with an idea, a product manager wanting to understand AI capabilities, or a developer looking to level up your platform architecture skills, this course teaches you how to think about and structure AI systems from the ground up. What You'll Learn: Prompt engineering techniques for complex AI systems Multi-layered AI architectures and how to design them Real-world applications: deep dives into platforms like PLATO5 and Emstrata Platform design principles and developing cohesive design languages Data operations, transformations, and parsing strategies Deployment across web, mobile, and API environments Integrating multiple AI services (TTS, image generation, video, etc.) Securing AI pipelines against hallucinations and errors Ethical AI usage and common pitfalls to avoid Building and onboarding audiences for novel AI products Market positioning and messaging for innovative platforms Course Modules: Chapter 1: Foundations (Modules 1-5) Course introduction and structure Setting up your platform prerequisites Prompt engineering fundamentals Multi-layered architectures overview Chapter 2: Core Architecture & Data Operations (Modules 6-10) CRUD operations, transformations, and parsing AI-Rep architecture patterns Building custom architectures through compounding transformations Real-world case study: PLATO5 planning Chapter 3: Real-World Applications, Design & Communication (Modules 11-16) Emstrata's architecture breakdown Designing lore builder systems Platform design and design language development Understanding use-cases, demographics, and markets Messaging strategies for novel products Chapter 4: Infrastructure & Integration (Modules 17-21) Deployment and distribution strategies Integrating additional AI services Preventing and handling AI hallucinations PLATO5 rebuild update Chapter 5: Ethics, Operations, Audience Building (Modules 22-28) Ethical AI usage and common pitfalls Retaining AI outputs for future training Often-overlooked platform considerations Building and engaging your audience Effective user onboarding Course wrap-up and key takeaways This course teaches you to think like a platform architect, understanding not just how to build AI systems, but how to design them for real-world use, scale, and impact. Github Repo: https://github.com/goldsteinnicholas/build-ai-platforms-from-scratch Take in a more focused environment here: https://nicholasmgoldstein.com/courses Check out Emstrata here: https://emstrata.com/try Check out PLATO5 here: https://plato5.us