BUILD WITH MODELS

Generative AI Roadmap

Learn transformers, prompting, retrieval, evaluation, fine-tuning, multimodal systems, and production AI application design.

THIS PATH IS FORSoftware engineers, product builders, designers, analysts, and technical founders building with language or multimodal models.
THE ROADMAP

Useful generative AI products need more than a model call. Learn the model’s behavior, ground it in trustworthy context, design evaluations before optimization, and build clear fallbacks for uncertainty.

  1. 01

    Understand transformers

    Learn tokens, embeddings, attention, context windows, sampling, and why fluent output can still be wrong.

  2. 02

    Prototype the experience

    Design prompts, structured outputs, tool boundaries, and user controls around a focused job to be done.

  3. 03

    Ground and evaluate

    Use retrieval when knowledge must be current or private. Create representative test cases and measure quality, safety, latency, and cost.

  4. 04

    Harden production

    Add observability, caching, fallbacks, prompt-injection defenses, privacy controls, and human review where consequences matter.

KEEP LEARNING
AI for Beginners→Machine Learning Roadmap→AI Agents Roadmap→