Jogja has 1,726 AI tutors drawn from technology campuses such as UGM, UII, and AMIKOM Yogyakarta, ready to teach artificial intelligence privately, one tutor to one student. They can visit your home anywhere in Jogja (DIY), across areas such as Depok (Sleman), Kasihan (Bantul), and beyond, or teach over video at the hours you pick, and the per-session rate is out in the open before any lesson begins.
Some of 1726+ vetted AI tutors in Jogja (DIY)
1726+
AI tutors
5
areas in Jogja (DIY)
4.9
average rating
629 reviews
starting from
Rp100.000
/ session
In Jogja, artificial intelligence grows from many corners at once. Researchers in UGM's computer science labs work on machine learning, animators around the AMIKOM campus lean on AI for visual effects, and the startup crowd around Babarsari and Seturan rests daily work on language models. This student-city pulse is what lifts demand for AI tutoring in Jogja: from curious pupils, to undergraduates crunching data for a thesis, to shop owners eager to wield AI tools well. To meet it, EduPoint lines up handpicked tutors, schedules that flex with your day, and rates itemized from the moment you first reach out.
A large class often makes AI harder to absorb, since every participant starts from a wildly different footing. In private AI tutoring in Jogja, a single student holds the whole session, so a tutor is free to loop back over heavy linear algebra or race ahead once the student writes code fluently. Backed by 1,726 tutors actively teaching across Jogja, we have already accompanied a broad mix of learners, from junior-high pupils meeting a computer for the first time to workers in the city's creative studios.
Our AI tutors in Jogja come from Computer Science, Informatics, Electrical Engineering, and Statistics, some already graduated and some still enrolled, with a campus of origin that stays open for you to check. For Jogja parents, that openness is the assurance that a child learns from someone who genuinely commands the technical side. A tutor's visiting range stretches from Sleman, the City of Yogyakarta, to Bantul, then touches Gunungkidul and Kulon Progo, with an online option always ready when that suits a family better.
1726+
AI tutors in Jogja (DIY)
5
Coverage areas in Jogja (DIY)
4.9
Average rating · 629 reviews
Most AI and coding courses in Jogja rarely name a teacher's major or campus, and shy away from explaining the path from zero, the two points we open wide.
We post each tutor's campus in the open as a measure of quality. Our AI tutors trained in Computer Science, Informatics, Electrical Engineering, and Statistics at real campuses such as UGM, UII, AMIKOM, and UAD, so their technical footing can be weighed before a session starts.
Our AI syllabus climbs one step at a time to stay within reach. The route sets off from meeting data and writing a first Python line, moves on to training a simple model, and lands on a small project ready to present, with each stage standing on the one before it.
There is no need to brave the packed ring road to a course center. Our AI tutors call at homes throughout DIY or teach online, with afternoon slots after school and evening slots after work that keep pace with the full days of Jogja residents.
On the question of fit, a tutor-replacement guarantee is on hand. If a teaching style feels out of step with how you learn, we line up a substitute at no extra charge, so enthusiasm for artificial intelligence in Jogja holds from one project to the next.
The AI a vocational RPL student in Depok Sleman is after differs from what a final-year undergraduate needs for a data-classification thesis, or what an online shop owner in Kotagede looks for when using AI tools to sell. The term is identical, the skills aimed for are far apart. That is why AI tutors in Jogja first gauge each student's target, then assemble material that clings to daily life in this city.
For junior high, senior high, and vocational students in Jogja curious about AI, tutors introduce computational thinking, Python basics, and simple projects such as image recognition or a small chatbot. A good fit for RPL students and young tech-competition entrants who want a patient guide.
Jogja undergraduates working on theses or assignments in data science, machine learning, and language processing are guided from framing the problem, preparing the dataset, through to model training and evaluation. Our tutors understand the supervision standards of local technology campuses.
Creative workers and business owners in Jogja learn to use AI tools for real work, from writing precise prompts, to automating repetitive tasks, to processing sales data. The focus is on application that immediately lightens the daily workload.
For those aiming at a career in data and AI, tutors guide the building of a project portfolio, from data analysis, to prediction models, to simple deployment. Practice is steered so the results are worth showing when applying for an internship or a job.
Part of the EduPoint teaching team behind AI.

Raisa S.
Sistem Informasi, Universitas Indonesia
Preparing and shaping data for AI models
“I always begin with the data. Once a student can clean and organize it well, training an AI model starts to feel logical.”

Farras N.
Teknik Informatika, Universitas Islam Sultan Agung
Building AI models from algorithmic foundations
“I like to take apart the algorithms behind AI one step at a time. When the logic is clear, writing the code feels calm.”

Himawan P.
Statistika, Institut Teknologi Sepuluh Nopember
Reading patterns through statistics and machine learning
“For me AI grows out of statistics, so I have students read the patterns behind the numbers first. Machine learning feels friendlier after that.”

Shifa S.
Teknik Informatika, Universitas Dian Nuswantoro
Bringing AI to life inside web apps
“I enjoy showing how an AI model can live inside a web app. I get students wiring their code to something they can actually use.”

Yunar R.
Teknik Informatika, Politeknik TEDC Bandung
Hands-on assembly of intelligent systems
“I believe the fastest way to grasp AI is to build it right away. I push students to try, get it wrong, then fix it together with me.”

Rakha S.
Sistem Informasi, Universitas Islam Negeri Sunan Ampel Surabaya
Mapping AI onto real needs
“I love connecting AI to the problems people truly face. I ask students what a model is for before they write a single line of it.”
Settle on the way of learning AI that runs closest to your daily rhythm in Jogja. Apart from the small group, the other two formats work one tutor to one student, and all of them may be mixed to suit the project underway.
An AI tutor comes to your home in Jogja and its surroundings, so a student writes code and runs models on their own laptop, in a comfortable setting without battling the crowded ring road to a course center.
Interactive online sessions with screen sharing to walk through code together, still one on one, ideal for Jogja undergraduates and professionals whose schedules are packed and who want to save travel time.
Learn AI with 2 to 3 people at a lighter cost, a good fit for a project teammate or siblings who want to take up programming and data together in one home in Jogja.
| Learner | Why It Fits |
|---|---|
| Junior High, Senior High & Vocational Students | An enjoyable introduction to computational thinking, Python basics, and simple AI projects, so Jogja students stay engaged and are ready for youth tech competitions and school informatics subjects. |
| Technology & Data Undergraduates | Support in machine learning, data science, and language processing for coursework and theses, from dataset preparation to model evaluation, following the supervision standards of Jogja technology campuses. |
| Professionals & Small Businesses | Applying AI tools to real work, such as writing effective prompts, automating repetitive tasks, and processing business data, practiced through cases close to everyday work in Jogja. |
| Aspiring Practitioners & Career Switchers | Preparing an AI project portfolio worth showing, with focused practice from data analysis to prediction models, for those aiming at an internship or a career in data and artificial intelligence. |
Could this program work for you?
The AI target of a vocational student, a final-year undergraduate, a small-business owner, and an aspiring data practitioner in Jogja varies widely. So our AI tutors set out from each student's goal, then gauge the material, the pace, and the teaching style that suit each group below.
Building computational thinking, meeting data, and writing that first Python program. Ideal for learners and beginners in Jogja who are just starting or who want to strengthen the basics before touching machine learning.
Training classification and prediction models, understanding the data pipeline, and using common libraries such as scikit-learn. This level is widely needed by Jogja undergraduates and young professionals working on data-driven projects.
Going deeper into image recognition, language processing, or advanced analytics, and weaving them into a complete project. For those preparing a final project, a career portfolio, or an AI deployment at work.
AI tutoring in Jogja runs privately, one tutor to one student, resting on projects. Most of the time goes to hands-on writing of code and running of models, threaded with concept explanations so a student knows the reason behind each move. The material is tuned to your school level, coursework target, or work need, and regular reports keep the growth easy to read.
Our AI tutoring in Jogja hones skills that prop one another up, so your ability stays whole from grasping concepts to building projects that genuinely run, reaching past rote technical terms.
Programming & Data Foundations
IncludedWriting tidy Python code, processing and cleaning data, and reading results as tables and charts. This foundation is the footing before a Jogja student steps into machine learning.
Machine Learning Concepts
IncludedUnderstanding how a model learns from data, choosing a fitting algorithm, training it, then judging the result honestly. Tutors unpack the logic slowly so abstract ideas start to make sense.
Building AI Projects
IncludedStringing the steps from idea, data preparation, model training, to presenting results into one complete project. This ability matters for undergraduate final projects and aspiring-practitioner portfolios in Jogja.
AI Ethics & Literacy
IncludedRecognizing data bias, the limits of a model, and using AI tools responsibly. This literacy helps Jogja students respond to artificial intelligence wisely instead of merely following the trend.
Starting from
Rp 102.000 / hour
Final price is set at registration.
Flexible payment — QRIS, Virtual Account, Alfamart, Indomaret, transfer & e-wallets.
AI tutoring rates in Jogja run per session and shift with level and duration, from 60, 90, to 120 minutes, since artificial intelligence calls for enough time to practice. A tutor's visit to a home in the DIY region carries a light transport fee by distance, say from the tutor's boarding house in Seturan to a home in Kotagede. We lay out the cost breakdown before the first session, with no binding package and nothing tucked away.
Kicking off AI tutoring in Jogja is tidier than the subject itself. The four steps below carry you from a first WhatsApp message to a first line of code and running model with your chosen tutor.
Say hello on WhatsApp and lay out the context, whether it is for a vocational student new to Python, an undergraduate building a data thesis, or an AI need at work. From that we help mark your AI starting point in Jogja.
With that picture in hand, we offer a few AI tutor names whose location is close, whose major lines up, and whose experience fits, be it a basic introduction or machine-learning project guidance in Jogja.
Agree on the day, time, and place with your tutor, from an afternoon slot after class to an evening slot after work or a roomier weekend for working through a project without rushing.
The first AI session runs with hands-on coding, and regular notes begin to flow so you can follow the project's growth from home.
Tips Before You Register
Weigh the AI tutoring providers in Jogja and three things tend to stay shut: a teacher's major and campus, how learning moves from zero, and a guarantee if the fit goes wrong. The table below lays out how EduPoint opens all three, set beside what institutions usually do.
Tutor background
EduPoint: Major & campus detailed (UGM, UII, AMIKOM, UAD)
Other Providers: Called a practitioner with no detail
Learning stages
EduPoint: Staged from literacy, Python, ML, to projects
Other Providers: Often jumps to tools with no foundation
Where you learn
EduPoint: Home visits across DIY or online
Other Providers: Mostly at a course center
Switching tutors
EduPoint: Replaceable if the fit is not right
Other Providers: Rarely promised
R.A., vocational RPL student in Depok Sleman
Challenge: R.A. was drawn to AI but stalled every time the code broke, with nowhere to ask right at that moment.
D.P., undergraduate in Sleman
Challenge: D.P. was unsure how to prepare a dataset and pick a model for a prediction thesis, while campus supervision time was limited.
Ms. S., small-business owner in the City of Yogyakarta
Challenge: Ms. S. wanted to use AI tools for marketing and to process sales data, but did not yet know how to write the right prompts.
The snag in learning AI in Jogja is seldom interest, and far more often the matter of a guide and time. Plenty of learners try online tutorials on their own, then hit a wall the instant code fails or a formula goes unexplained, with no one to ask on the spot. The ring road jamming at peak hours also leaves parents hesitant to ferry a child to a faraway course. With a tutor who comes home or teaches over a screen, both snags loosen: a question is answered right there, and time usually lost on the road turns into practice hours.
For EduPoint, progress in AI is rooted in orderly practice and real projects, well clear of any pledge of mastery overnight. So each AI tutoring program in Jogja treads in order: data literacy and Python basics come first, machine-learning concepts follow, and a small showable project closes the loop. The ethics and safety of using AI are slipped in early, so a student grasps how to run a model while staying alert to its limits and duties. An honest report rides along with each stage, keeping growth easy to read.
Before ever teaching, each AI tutor in Jogja clears a screening, so you meet a teacher who commands the theory while being at ease writing code and patient in explaining. The one-tutor-one-student format gives room to read how each person thinks, find the knots that are still loose, then build practice aimed exactly there. It feels unlike a crowded class, because the whole session goes to the progress of one student in Jogja, with a project seen through to the finish.
Answers to the most common questions about AI tutoring in Jogja.
Pricing for AI tutoring in Jogja is counted per session and rises with the level and duration you pick, from 60, 90, to 120 minutes, because writing code and training models takes enough time. Should a tutor visit a home in the DIY region, a light transport fee applies by distance, for instance from the tutor's boarding house in Seturan to a home in Umbulharjo. Each figure is out in the open before the first session, clear of binding packages and hidden cuts, so you can lay out a learning budget with ease.
Yes. Our AI tutors serve Sleman, the City of Yogyakarta, and Bantul, stretching from the student quarters of Babarsari to the Kasihan area, then reaching Wonosari in Gunungkidul and Wates in Kulon Progo. So a home in Condongcatur and one in Sewon are both looked after. Whenever the ring road jams or class schedules pile up, an online session with the same tutor stays available, one on one, with screen sharing to trace code side by side.
Absolutely, and this is in fact where most of our students in Jogja set off. A tutor begins from computational thinking and the very first Python line, without assuming you already know programming. Machine-learning concepts enter only once the data basics are solid, so the order stays neat and does not drain your drive. Whether a curious junior-high pupil or a professional changing fields, we accompany you from zero at a pace that follows each learner's ability.
Our teachers come from Computer Science, Informatics, Electrical Engineering, and Statistics, some already graduated and some still studying, at campuses such as UGM, Universitas Islam Indonesia, Universitas AMIKOM Yogyakarta, and Universitas Ahmad Dahlan. Each tutor's campus and major are listed in the open, so their technical background can be weighed before AI tutoring gets going.
Yes, and this request often comes from Jogja undergraduates. A tutor stays alongside from framing the problem, preparing and cleaning the dataset, choosing an algorithm, training the model, through to evaluating and presenting results. The guidance keeps you understanding each step and able to explain it at your defense. Our tutors are familiar with the supervision standards of local technology campuses, so the flow runs in step with what a supervisor asks for.
The scope is broad and cut to your target. For foundations there is Python basics, data literacy, and visualization; for the AI core there is machine learning such as classification and prediction, image recognition, and language processing. Generative AI tools and prompt engineering are taught too, above all for Jogja professionals and small-business owners who want them for real work. Ethics and safety in using AI ride along throughout so the use stays responsible.
It hinges on your starting point and target, since a learner only just meeting Python differs from one already used to handling data. Many students in Jogja become able to string a simple project together within a matter of months when sessions run steadily once or twice a week. Tutors arrange orderly stages and send progress reports, so growth shows plainly from one project to the next, with no lure of overnight mastery.
Yes, and that is what Jogja undergraduates and workers ask for most. Aware of how packed class and work hours are, our AI tutors put out evening slots after work and roomier weekend slots for working on a project calmly. You set the day and time, and the schedule can still slide when an assignment deadline or another errand suddenly turns up.
Very much so. RPL and similar vocational students in Jogja usually already know basic programming, so a tutor can steer them straight into AI uses like image recognition, a simple chatbot, or data analysis. The material is set to run alongside vocational subjects while thickening a portfolio, which helps in youth tech competitions and when stepping on to campus or the workplace.
Of course. Technical material like AI needs a teacher whose way of explaining clicks with how you learn, so if it feels off, just tell us. A better-suited replacement is arranged at no extra cost. This tutor-replacement guarantee is in place so learning AI in Jogja stays comfortable, and no student feels locked to a teacher whose explanations are hard to follow.
Yes. We offer a small-group format for 2 to 3 people, a good fit for project teammates or siblings who want to take up AI together in one home in Jogja. Through this format the cost per person eases, while the tutor keeps each participant getting attention suited to their level and their role, so no one falls behind when the code runs.
The tracking runs two ways. Each AI tutor in Jogja sends a periodic report covering material already covered, skills that have firmed up, and the project in hand. On the other side, parents may reach the tutor via WhatsApp any time to ask how a child's learning is going. Because the approach leans on projects, progress also stands out in the code and models a child manages to run as time passes.
Still have more questions?
Just begin with a relaxed, no-cost chat on WhatsApp. Name your goal, level, and location across Jogja or its surroundings, and we will find the AI tutor best suited to walk you through the first step.
Coverage areas