Mindgrid
AI courses overview
Our Courses

Three programs, one
consistent approach

Each Mindgrid course is built the same way: clear modules, hands-on projects, and a mentor available throughout. What differs is the depth and the starting point.

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Modular lessons

Each week covers one concept in depth rather than skimming several. Learners work through exercises before moving on.

Reviewed code work

Assignments are submitted as code. A mentor reads and comments specifically on what works and what to adjust.

Defined endpoint

Every program has a clear finish point — a capstone, a portfolio, or a final project — so learners know when they are done.

Foundations of AI Coding
Course 01

Foundations of AI Coding

8 weeks ฿4,100 Beginner

A calm, structured introduction to Python programming and the foundational ideas behind machine learning models. This course is designed for people who have not written code before and want a steady, well-explained start. No prior technical background is needed.

What this course covers:

  • Python syntax, data types, and control flow
  • Working with data using pandas and NumPy
  • Core concepts in machine learning (what a model is, how it learns)
  • Small guided projects building from scratch
  • Mentor feedback on every assignment

How the 8 weeks are structured:

  1. 1Python basics — variables, functions, loops
  2. 2Data structures and file handling
  3. 3Introduction to data manipulation with pandas
  4. 4Visualisation and exploratory analysis
  5. 5–6Core ML concepts and scikit-learn basics
  6. 7–8Guided project, review, and completion
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Practical Deep Learning
Course 02

Practical Deep Learning

12 weeks ฿16,500 Intermediate

A project-based course for learners who already write Python and want to build real understanding of neural networks and modern deep learning frameworks. The emphasis is on working through actual problems with real data rather than following simplified examples.

What this course covers:

  • Neural network architecture and training fundamentals
  • PyTorch and TensorFlow — hands-on, not just theory
  • Working with real datasets: tabular, image, text
  • Weekly build sessions with code review
  • Capstone project and community workspace access

Course structure (12 weeks):

  1. 1–2Deep learning fundamentals and environment setup
  2. 3–5Building and training networks in PyTorch
  3. 6–8Applied project with real dataset of your choice
  4. 9–11Advanced topics: transfer learning, fine-tuning
  5. 12Capstone review and portfolio submission
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AI Engineering Pathway
Course 03

AI Engineering Pathway

6 months ฿33,300 Advanced

An extended program for committed learners preparing for technical roles in AI or software engineering. Covers the full lifecycle from model development to deployment, with a focus on building a portfolio of meaningful, demonstrable work. Mentor guidance and peer collaboration run throughout.

What this program covers:

  • Model development, evaluation, and iteration
  • Deployment practices: APIs, containers, cloud basics
  • MLOps fundamentals and collaborative workflows
  • Portfolio building across applied projects
  • Skills-focused career sessions and peer collaboration

Six-month structure:

  1. M1Review and deepen core ML and Python knowledge
  2. M2Model development lifecycle and experiment tracking
  3. M3APIs and model serving with FastAPI
  4. M4Containerisation, cloud basics, CI/CD fundamentals
  5. M5Applied portfolio project with mentor guidance
  6. M6Career skills sessions, peer review, final presentation
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Choose Your Course

Which program fits where you are now?

Use this overview to decide which course matches your current level and goals.

Foundations Practical DL AI Engineering
Price ฿4,100 ฿16,500 ฿33,300
Duration 8 weeks 12 weeks 6 months
Prior coding needed None Basic Python Intermediate Python
Mentor feedback
Capstone project Guided project
Portfolio building Partial
Deployment topics
Career skills sessions
Completion certificate

Not sure where to start? Send us a message — we are happy to help you decide.

Standards

Consistent across all programs

Data privacy

Learner data is stored securely and never shared for advertising purposes. See our Privacy Policy for full details.

Updated each cohort

Course material is reviewed before each new intake. Outdated content is replaced, not just patched.

Responsive support

Mentor responses within one business day. Questions are answered specifically, not redirected to lesson materials.

Pricing

Course fees

All prices in Thai Baht. Single payment at enrolment, no recurring charges.

Foundations

฿4,100

8-week introductory program

  • All lesson materials
  • Mentor feedback on assignments
  • Community workspace
  • Certificate of completion
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Practical DL

฿16,500

12-week project-based course

  • All lesson materials
  • Weekly build sessions
  • Code reviews + mentor access
  • Capstone project + community
  • Certificate of completion
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AI Engineering

฿33,300

6-month advanced pathway

  • All materials + applied projects
  • Dedicated mentor for 6 months
  • Deployment + MLOps modules
  • Portfolio + career sessions
  • Certificate of completion
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Not sure which course is right?

Tell us briefly about your background and what you are hoping to learn. We will suggest the most sensible starting point.

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