AI Native Engineers
Skool · AI Native Engineers · Updated
AI Tutor Rating
8.3/10
Duration
90 days
Classes
80
Membership program promising a 90-day AI engineer path with 25+ hours of masterclasses, portfolio projects, and support for local and cloud AI project delivery.
AI Native Engineers is a membership-based program hosted on the Skool platform, offering a structured 90-day pathway into AI engineering. The course provides over 25 hours of masterclasses focused on building portfolio projects and applying agentic coding techniques to deliver real-world AI solutions. It is designed to serve both beginners and experienced builders looking to develop practical skills and confidence in implementing AI applications, with an emphasis on project delivery for both local and cloud environments.
What you'll learn in AI Native Engineers
Our Review of AI Native Engineers
The AI Native Engineers program presents a project-centric, community-driven approach to skill acquisition, structured around a clear 90-day timeline. The format, delivered through Skool, suggests a blend of asynchronous masterclass content and ongoing membership support, which is conducive to learners who thrive on consistent engagement and peer interaction over a fixed period. With 80 lectures spread across the duration, the pacing appears intensive, aiming to translate theoretical concepts into tangible portfolio pieces through guided projects.
The curriculum chapters indicate a progression from foundational overviews and portfolio building through to advanced agentic coding concepts and a capstone project. This suggests learners will exit with hands-on experience in developing AI applications, specifically through the lens of modern, agent-based architectures. However, the depth is implied rather than detailed; the promise of 'confidence in delivering AI solutions' is an outcome tied directly to the applied project work. The $79 monthly subscription model aligns with the membership format, offering ongoing access rather than a one-time purchase, but the absence of a mentioned completion certificate may affect its perceived value for those seeking formal credentialing for job applications.
Ultimately, the value of AI Native Engineers hinges on the quality and specificity of its guided projects and community support. It positions itself not as a deep theoretical dive but as a practical bootcamp for building a job-ready portfolio. For the right learner, the structured roadmap and focus on delivery could efficiently bridge the gap between understanding AI concepts and deploying working solutions.
Pros and cons of AI Native Engineers
Pros
- Structured 90-day roadmap provides clear progression and deadlines
- Project-based curriculum focused on building a tangible portfolio
- Designed for both beginners and experienced builders, offering broad accessibility
- Membership format on Skool implies ongoing community and instructor support
- Emphasis on practical delivery for local and cloud AI projects
Things to consider
- Monthly subscription cost may add up without a clear end date or certificate
- Depth of technical coverage is unclear from listed curriculum chapters
- Outcomes are framed as confidence and portfolio, not job placement or formal certification
Who should take AI Native Engineers?
This course is best for hands-on learners, from beginners to experienced developers, who want a structured, time-bound program to build a portfolio of AI applications. It fits those prioritizing project experience over deep theoretical study and who value community support within a membership model to stay accountable over a 90-day sprint.
Course curriculum for AI Native Engineers
AI Native Engineers at a glance
| Provider | Skool |
|---|---|
| Instructor | AI Native Engineers |
| Level | Beginner |
| Time to complete | 90 days |
| Pricing | $79/month |
| Certificate | No |
| Prerequisites | Suitable for beginners and experienced builders |
Fit
Best for
Not ideal for
The bottom line on AI Native Engineers
AI Native Engineers is a practical, project-driven membership for building AI engineering skills through a structured 90-day challenge. It offers good potential value for learners who commit to the timeline and utilize the community support, though its subscription model and lack of a formal certificate are considerations for budget-conscious or credential-focused students.
AI Native Engineers: frequently asked questions
What exactly is the AI Native Engineers course and what does it teach?
AI Native Engineers is a 90-day membership program on Skool teaching AI engineering through guided portfolio projects. It covers building AI applications, agentic coding approaches, and delivering solutions for both local and cloud environments.
Do I need a strong programming or AI background to join AI Native Engineers?
No, the AI Native Engineers program states it is suitable for beginners and experienced builders, indicating the curriculum is designed to accommodate a range of prior skill levels.
How much does the AI Native Engineers membership cost and what do I get?
AI Native Engineers costs $79 per month. For this, you get access to 80 lectures, over 25 hours of masterclasses, guided portfolio projects, and support within the Skool community for the duration of your membership.
How does AI Native Engineers compare to a traditional online AI course?
Unlike many static video courses, AI Native Engineers is a time-bound, membership-based program on Skool focused on a structured 90-day roadmap, community support, and hands-on portfolio building over purely theoretical learning.
How can I get the most value from the AI Native Engineers program?
To maximize value from AI Native Engineers, fully commit to the 90-day timeline, actively build all portfolio projects, engage with the Skool community for support, and apply the agentic coding techniques to your own practical app ideas.