Getting Started - Build AI Platforms From Scratch Free Course

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/...
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