Everything you need to promote our courses like a pro and maximize your earnings. You will find ready-to-post marketing assets for LinkedIn, Instagram, and TikTok.

How to Use This Page

Pick a platform → copy a text/script.
Attach the matching creative (banner, video, or Reel/short).
Two ways to share:

For referrals, simply share the course and email [email protected] with the course name and the details of the course taker. Unlock your reward based on how many people you referred.
As an affiliate, share the courses with your affiliate link, and the rest is automated**.** Your earnings are auto-tracked, and payments are made monthly.

Quick Specs for Platforms

Choose the Right Courses to Refer

All our courses are designed to take learners toward AI engineering roles. Each course targets a specific starting point and builds toward the same outcome: a deployed product, a certified portfolio, and the skills to work as an AI engineer.

Courses are project-based, built by engineers who work on enterprise AI projects, and updated monthly as the field evolves.

We have courses for:

Transitioning into AI engineering: developers who want to make AI engineering their primary role, covering the full LLM stack from prompting and RAG to fine-tuning, agents, and deployment.

Agentic AI specialization: LLM developers who want to go deeper into autonomous systems, covering production-grade agent design, reasoning loops, tool orchestration, and deployment.

Leading AI initiatives: for developers who want to understand the non-technical side of AI

We also have two entry-point courses: a Python primer that prepares learners to take the Full Stack AI Engineering course, and an LLM primer for developers who want a solid foundation in how probabilistic systems work before going deeper.

Use the guide below to match each person to the right starting point in seconds.