Build Your Skills in
AI Development — Step by Step
Neurova offers structured online courses covering machine learning, model building, and applied AI projects. Work at a pace that fits your schedule, with practical exercises and mentor guidance along the way.
Three Paths Forward
Each course is designed around hands-on work. You read, build, and review — then move on when you're ready.
Foundations of AI Development
Core programming for data work, the fundamentals of machine learning, and how modern models are built and evaluated. Paced for steady learning with practical, reviewed exercises. Includes a small project and community study group.
- Programming for data workflows
- ML fundamentals, model basics
- Community study group access
- Starter project included
฿3,400
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Applied Model Building
A project-based course where learners build, train, and assess working models on real datasets, with mentor feedback at each milestone. Focused on practical skills and good engineering habits. Includes code reviews and a portfolio-ready project.
- Real datasets, real models
- Mentor feedback at milestones
- Code review sessions
- Portfolio-ready project
฿6,800
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Capstone & Mentorship Track
An extended track combining advanced topics, a substantial capstone project, and one-to-one mentorship from working practitioners. Designed for learners ready to deepen their craft over several weeks. Includes structured feedback and a presentation of the finished work.
- Advanced AI topics
- One-to-one mentorship
- Capstone project & presentation
- Structured written feedback
฿11,200
Enquire About This CourseWhat Sets the Learning Apart
Project-Led from Day One
Every course is built around doing, not just reading. You work on real tasks from the very first module, building up something you can show and explain.
Feedback at Each Stage
Mentors and reviewers look at your work at key milestones. You don't move forward guessing — you move forward with specific observations on what to develop next.
Self-Paced Structure
Modules are laid out sequentially, but there's no deadline pressure. You study when it fits your week, which makes the content stick better over time.
Community Study Groups
Entry-level learners join small study groups where questions are welcomed and discussion is part of the process. Learning alongside others keeps things grounded.
Practitioner Mentors
Mentors in the advanced track work in AI development today. Their perspective on what's useful in practice shapes the guidance they give on your capstone work.
Clear Progression Between Courses
The three tracks connect. Completing Foundations prepares you for Applied Model Building, which in turn leads naturally into the Capstone & Mentorship level.
Ready to Begin?
Send us a message and we'll walk you through which course fits where you are now. There's no rush — just a conversation about what you'd like to learn.
Common Questions
Do I need a programming background to start?
The Foundations course begins with the programming concepts you need for data work, so no prior background is assumed. If you've written a bit of Python before, you'll move through the opening modules comfortably. If not, they're designed to be accessible.
How much time do I need each week?
Most learners set aside 5–8 hours per week. The courses are self-paced, so that number can flex with your schedule. Milestone reviews happen when you've finished a section, not on a fixed calendar date.
What is included in the price?
Each course price covers access to all course materials, exercises, and project templates, plus the review or mentorship component described in that track. For Foundations, that means a community study group. For Applied, mentor feedback at milestones. For the Capstone track, one-to-one mentorship throughout.
Can I move between courses?
Yes. The three courses are designed as a progression. After completing Foundations, you're well-placed to move into Applied Model Building, and from there into the Capstone & Mentorship Track when you feel ready.
How does one-to-one mentorship work in the advanced track?
You're paired with a practitioner who reviews your capstone work at defined checkpoints, provides written feedback, and is available for async questions between sessions. The relationship is structured so you always know where to focus next.
Is the course taught in English?
Yes, all course materials, exercises, and feedback are in English. This is intentional — most AI documentation and tooling is English-language, so working in English from the start reflects how the field actually operates.
How do I enrol?
Use the contact form below or call us directly. We'll confirm which course fits your background, share access details, and get you set up. The process is straightforward and usually takes less than 24 hours.
Find Us in Bangkok
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Contact Details
Phone
+66 2 706 4815Address
172 Sukhumvit Road
Khlong Toei, Bangkok 10110
Thailand
Office Hours
Monday – Friday: 09:00 – 18:00 ICT
Saturday: 10:00 – 14:00 ICT
Sunday: Closed