What people have said after studying here
These reviews come from learners at different stages — some absolute beginners, some switching career direction, some adding to existing technical skills.
← Back to HomeFeedback from past students
"I had tried online Python tutorials before but always got stuck and gave up around week two. The weekly structure here made it different — you know exactly what you are supposed to do each week, and there is an actual person who reads your exercises and tells you what to change."
"I had the Python basics already and this course gave me a way to actually use them on real data. The guided project in weeks fourteen to sixteen was where I felt like I understood what I was doing, not just following instructions. Took more time than I expected, but that felt appropriate for what I learnt."
"The portfolio project was the part that made the most difference for me. Being able to choose what it was about, and having Nattawut go through it with me during the review calls, meant I ended up with something I could genuinely talk about in interviews. I started getting responses within a few weeks of finishing."
"Online, fully English, and still felt manageable. I was nervous about the language but the writing in the materials is very straightforward. The feedback from Araya was patient — she pointed out where my code worked but could be written more clearly, which I found more useful than just being told it was correct."
"I appreciated that the course did not try to do too much at once. Each week felt like a reasonable amount of work — sometimes I wanted to move faster, but I think going at this pace meant I actually understood the evaluation concepts rather than just repeating code I did not fully follow."
"Twenty-four weeks is a long time. I had moments where I was tired and considered stopping. The check-in from Nattawut around week fifteen, when I had not submitted for two weeks, made a difference — he just asked if everything was okay and whether the pace was working. It was the kind of care that is hard to find in an online course."
Learner journeys in more detail
From marketing analyst to machine learning practitioner
Krit worked in marketing analytics in Chiang Mai, comfortable with Excel and basic statistics but with no programming background. He wanted to move into data science but found self-study difficult to sustain without structure.
He completed the Foundations course over twelve weeks while continuing to work full time, then moved directly into Applied Machine Learning. The weekly feedback from his mentor helped him identify and correct a recurring misunderstanding about model evaluation that could have caused problems later.
After completing Applied Machine Learning, Krit had two practical projects he could discuss clearly. He moved into a junior data analyst role at a company in Chiang Mai where ML work was part of the job. The Foundations and Applied ML courses together took him just over eight months.
"The combination of doing the exercises myself and getting written feedback on them is what I needed. I had tried video courses before and just watched without really learning."
Building a portfolio project for a career change at 34
Natthida had a background in operations management and had taught herself some Python over the previous two years. She wanted to make a formal move into AI engineering but felt uncertain about how to present her self-taught skills to employers.
She enrolled directly in the AI Engineering Career Track. Her portfolio project, developed over the final six weeks with Nattawut's guidance, centred on a demand forecasting model for supply chain data — directly relevant to her operations background.
Natthida received three interview invitations in the first month after completing the programme. She accepted a role as a junior ML engineer in Bangkok. She noted that interviewers responded well to being able to explain her portfolio project clearly, including the decisions she made and why.
"The project was mine, not a template. That made a real difference when explaining it in interviews."
Where Panya Academy stands
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Bangkok 10110, Thailand
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The course pages describe what each programme covers, how the weeks are structured, and what you will need going in.