What is an AI class and what does it cover?

An AI class at EduPoint is a private mentoring program for mastering artificial intelligence, from using generative AI tools like ChatGPT to building your own machine learning models. There are 4 learning tracks: AI Productivity (mastering ChatGPT/Claude/Gemini for productivity), Machine Learning (building models with Python), Deep Learning (neural networks for computer vision and NLP), and Generative AI Engineering (LLM, RAG, AI agents). Tutors build the curriculum to your goals.

How much does an AI class cost per session at EduPoint?

AI class fees start from IDR 95,000/session for small group classes and IDR 120,000-175,000/session for private 1-on-1 (90 minutes). The 8-session Regular Package at IDR 1,040,000 is the popular choice for professionals and students. For a serious career switch, the AI Career Track package is available from IDR 3,960,000 for 24 sessions (120 minutes) with a senior practitioner and portfolio guidance.

Do I need to know how to code before learning AI?

Not always. For the AI Productivity track - mastering ChatGPT, Claude, Gemini, and prompt engineering for productivity - you don't need coding at all. This skill can be mastered by anyone within weeks. For the Machine Learning and Deep Learning tracks, Python is needed, but it is taught from scratch by the tutor. Many of our alumni started without ever touching code and now work as data analysts or ML engineers.

Which AIs will I learn - ChatGPT, Claude, or others?

It depends on the chosen track. For AI Productivity: ChatGPT, Claude, Google Gemini, plus AI images such as Midjourney and DALL-E. For Machine Learning: Python, Pandas, scikit-learn. For Deep Learning: TensorFlow and PyTorch. For Generative AI Engineering: OpenAI and Anthropic APIs, Hugging Face, vector databases. We teach tools relevant to your goals and constantly update material to follow the latest AI developments.

Is an AI class suitable for junior high and high school students?

Very suitable. Junior high and high school students are in the ideal position to build AI literacy early. For this age, we focus on AI Fundamentals (understanding how AI works), responsible use of AI for learning, and an introduction to Python if interested in technology. Many of our students use the AI class to determine their university major direction and build an advantage for the future.

Are online AI classes effective compared to in-person ones?

Online AI classes are very effective, often even more practical. Because AI and coding are done on a computer, the online format with screen sharing and live coding works very well - the tutor can see your screen and guide you directly. Online classes also provide access to the best practitioner tutors from other cities. In-person classes suit students who need close mentoring or whiteboard discussions of math concepts.

What qualifications do EduPoint AI tutors have?

Our tutors are AI practitioners active in the industry with a minimum of 3 years of experience, including: data scientists at unicorn companies, machine learning engineers at AI startups, AI researchers in computer vision and NLP, GenAI specialists and prompt engineers, and AI product managers. All actively build real AI models, so the material taught is relevant to current industry practice, not just theory.

How long does it take to learn AI well enough to use it for work?

It depends on the goal. For AI Productivity - using AI to make work faster - the benefits are felt after 8-12 sessions (about 2-3 months). To be ready to apply for Data Analyst or Junior Data Scientist positions, the Machine Learning track takes 6-9 months with a project portfolio. For an AI Engineer or Deep Learning Engineer role, the journey is 9-12 months. Consistency and the number of real projects matter more than speed.

Is an AI class suitable for non-IT professionals?

Very suitable, and it is actually one of our largest participant segments. Professionals from marketing, HR, finance, education, and SME owners join the AI class to boost productivity. The AI Productivity track is designed specifically without coding - focusing on prompt engineering and using AI tools to speed up daily work. Many participants report productivity increasing 30-50% after the class.

How do I register for the EduPoint AI class?

Registration is easy: (1) Register via the online form at /en/register selecting the 'AI Class' program, (2) Our team will contact you via WhatsApp within 1x24 hours for a free consultation and assessment of your learning goals, (3) A suitable tutor - matching your level and specialization - will be recommended along with the best-fit learning track. You can also message WhatsApp +62 822-3333-0062 directly for a faster response.

Future Technology

AI Class

Name: Les AI Class - EduPoint
Brand: EduPoint
Availability: InStock
Rating: 4.9 (310 reviews)

Private AI classes for students, university students, and professionals. From mastering ChatGPT for daily productivity to building machine learning and deep learning models. Learn 1-on-1 with AI practitioners from the tech industry - online or in-person.

280+

tutors

3,500+

students

4.9

rating

45+

cities

What is AI Class?

An AI class is a private mentoring program for mastering artificial intelligence, from using generative AI tools like ChatGPT to building machine learning and deep learning models. The program serves professionals who want to boost productivity, university students building tech career skills, and students preparing themselves for an AI-driven future.

4 learning tracks: AI Productivity, Machine Learning, Deep Learning, Generative AI
AI practitioner tutors from startups and tech companies
Learn real tools: ChatGPT, Claude, Gemini, Python, TensorFlow
Project-based approach with a real portfolio
Suitable for beginners without coding background to aspiring AI engineers
Material constantly updated to follow the latest AI developments

AI Class Service Options

Flexible learning formats for students, university students, and busy professionals

Online Class

Via Zoom with screen sharing and live coding

Rp 130.000/session

90 minutes

Flexible from anywhere, ideal for professionals
Live coding and AI tool demos with the tutor
Automatic session recording for review
Access to material, datasets, and practice notebooks

In-Person Class

Tutor comes to your location for intensive sessions

Rp 175.000/session

90 minutes

Direct interaction for deep concept discussion
Hands-on guidance while working on projects
Ideal for students needing close mentoring
Whiteboard sessions for AI math concepts

Small Group Class

Learn alongside 2-4 participants with similar interests

Rp 95.000/session

120 minutes

More affordable per person
Collaborate on AI projects with peers
Case discussion and idea brainstorming
Ideal for office teams or campus study groups

AI Learning Levels

A tiered roadmap from AI literacy to building and deploying your own models

AI Literacy Level

Basic AI Understanding

Foundation for absolute beginners. Understand what AI is, how it works, and the available tools. No coding required at all.

Subjects:

AI ConceptsTypes of AIAI Ethics

Focus Areas:

Understand the difference between AI, machine learning, and deep learning
Get to know generative AI: text, image, audio, video
Explore popular tools: ChatGPT, Claude, Gemini
Understand AI limitations and risks (hallucination, bias)

AI Power User Level

Productivity with Generative AI

Master prompt engineering and AI tools to boost work and study productivity. Suitable for professionals and students without a technical background.

Subjects:

Prompt EngineeringAI WorkflowGenAI Tools

Focus Areas:

Prompt engineering techniques: zero-shot, few-shot, chain-of-thought
Task automation with ChatGPT, Claude, and Gemini
AI for images and design: Midjourney, DALL-E, Canva AI
Building custom GPTs and personal AI assistants

ML Practitioner Level

Machine Learning with Python

Learn to build machine learning models from data. Requires programming logic basics, which will be guided from the start.

Subjects:

PythonMachine LearningData Analysis

Focus Areas:

Python for data science: NumPy, Pandas, Matplotlib
Supervised learning: regression and classification
Unsupervised learning: clustering and dimensionality reduction
Model evaluation: accuracy, precision, recall, overfitting

Deep Learning Engineer Level

Neural Networks & Deep Learning

Deep dive into neural networks for computer vision and NLP. For those who have mastered basic machine learning.

Subjects:

Deep LearningComputer VisionNLP

Focus Areas:

Neural network architectures: CNN, RNN, Transformer
TensorFlow and PyTorch frameworks
Computer vision: image classification and object detection
Natural Language Processing and text analysis

AI Specialist Level

LLM Engineering & Deployment

Advanced training to build real AI applications. Focus on Large Language Models and production deployment.

Subjects:

LLM EngineeringRAGMLOps

Focus Areas:

LLM engineering: fine-tuning and RAG (Retrieval-Augmented Generation)
Building AI agents and multi-step workflows
API integration: OpenAI, Anthropic, Hugging Face
Deploying models to cloud and web applications

AI Learning Modules

Seven modules combinable to your goals and level

Material is tailored: professionals focus on GenAI productivity, university students on ML for careers, students on AI literacy. Tutors build personalized plans.

AI Fundamentals

Basic concepts of artificial intelligence and how it works

History and evolution of AI to the generative era
The difference between AI, machine learning, deep learning
How Large Language Models (LLM) work
Types of AI: generative, predictive, computer vision
+1 more

Prompt Engineering

The art of communicating with AI for maximum results

Anatomy of an effective prompt: context, instruction, format
Advanced techniques: chain-of-thought, role prompting, few-shot
Prompts for various needs: writing, analysis, coding
Building custom GPTs and AI assistants
+1 more

GenAI Tools Mastery

Practical mastery of popular generative AI tools

ChatGPT, Claude, and Gemini: each one's strengths
AI for images: Midjourney, DALL-E, Stable Diffusion
AI for video and audio: Runway, ElevenLabs
AI for productivity: Notion AI, Canva AI, Copilot
+1 more

Python for AI

Programming foundation for building AI models

Python basics: variables, functions, data structures
NumPy for numerical computation
Pandas for data manipulation
Matplotlib and Seaborn for visualization
+1 more

Machine Learning

Building models that learn from data

Supervised learning: linear regression, decision tree
Classification: logistic regression, random forest, SVM
Unsupervised learning: K-means clustering, PCA
Feature engineering and data preprocessing
+1 more

Deep Learning

Neural networks for complex problems

Neural networks: perceptron, backpropagation
Convolutional Neural Network (CNN) for images
Recurrent Neural Network and Transformer
Hands-on TensorFlow and PyTorch
+1 more

AI Project & Deployment

Building and shipping real AI applications

RAG: combining LLMs with your own data
Fine-tuning models for specific needs
API integration: OpenAI, Anthropic, Hugging Face
Deployment to web with Streamlit and cloud
+1 more

Choose a learning track based on your goals - from daily productivity to becoming an AI engineer

4 AI Career Tracks

Each track is designed with clear phases, real projects at every stage, and measurable career outcomes. Tutors help you choose the track that best fits your background and target.

AI Productivity Track

2-3 months

Machine Learning Track

6-9 months

Deep Learning Track

9-12 months

Generative AI Engineering Track

6-9 months

Phase 1

AI Literacy

3 weeks

Skills to Learn:

Generative AI conceptsGetting to know ChatGPT, Claude, GeminiEthical AI use

Project:

Audit your daily work and identify tasks AI can assist with

Milestone:

Understand when and how to use AI appropriately

Phase 1

AI Literacy

3 weeks

Skills to Learn:

Generative AI conceptsGetting to know ChatGPT, Claude, GeminiEthical AI use

Project:

Audit your daily work and identify tasks AI can assist with

Milestone:

Understand when and how to use AI appropriately

Phase 2

Prompt Engineering

4 weeks

Skills to Learn:

Effective prompt techniquesChain-of-thought promptingCustom GPT

Project:

Build 3 AI assistants for specific work needs

Milestone:

Able to consistently produce high-quality AI output

Phase 2

Prompt Engineering

4 weeks

Skills to Learn:

Effective prompt techniquesChain-of-thought promptingCustom GPT

Project:

Build 3 AI assistants for specific work needs

Milestone:

Able to consistently produce high-quality AI output

Phase 3

AI Workflow Automation

4 weeks

Skills to Learn:

Integrating AI into workflowAI images and documentsMulti-tool automation

Project:

Automate one full work process using a combination of AI tools

Milestone:

Daily workflow automated, productivity noticeably improved

Phase 3

AI Workflow Automation

4 weeks

Skills to Learn:

Integrating AI into workflowAI images and documentsMulti-tool automation

Project:

Automate one full work process using a combination of AI tools

Milestone:

Daily workflow automated, productivity noticeably improved

Outcome

AI Power User in any field of work

Expected Salary

Productivity increase of 30-50%

Target Companies

Suitable for all industriesMarketingHROperationsEducation

Consult Your AI Career Track

Who Is the AI Class For?

AI is a skill for everyone - from students to senior professionals

Professionals & Employees

Workers in any field who want to boost productivity with AI. From marketing and HR to finance - AI accelerates daily work.

Recommended:

Prompt EngineeringGenAI Tools MasteryAI Workflow

University Students & Graduates

Students who want to build AI skills to boost their career competitiveness. AI is becoming a must-have skill in nearly every industry.

Recommended:

Python for AIMachine LearningAI Project

Junior High & High School Students

Students who want to prepare for an AI-based future. Building AI literacy early provides a long-term advantage.

Recommended:

AI FundamentalsGenAI ToolsAI for Learning

Career Switchers to AI/Tech

Professionals from other fields who want to move into AI/data careers. They need a strong foundation from scratch to job-ready.

Recommended:

Python for AIMachine LearningDeep Learning

Content Creators & Creatives

YouTubers, designers, and creators who want to leverage generative AI for content. AI accelerates image, video, and writing production.

Recommended:

GenAI Tools MasteryPrompt EngineeringAI for Visuals

Teachers, Lecturers & Business Owners

Educators who want to integrate AI into teaching, and business owners/SMEs who want to automate operations with AI.

Recommended:

GenAI ToolsPrompt EngineeringAI for Business

Software & Tools

AI Tools You Will Master

From no-code generative AI to professional frameworks for building models

1Generative AI & Productivity

ChatGPT

Essential

Versatile LLM from OpenAI for writing, analysis, and coding

Claude

Essential

LLM from Anthropic, excels at long-form analysis and reasoning

Google Gemini

Essential

Google's multimodal LLM, integrated with Workspace

Midjourney

Intermediate

High-quality AI image generator for creative visuals

2Programming & Data

Python

Essential

The main programming language for AI and machine learning

Jupyter / Google Colab

Essential

Interactive environment for model experimentation and training

Pandas & NumPy

Intermediate

Libraries for data manipulation and analysis

scikit-learn

Intermediate

Machine learning library for classic models

3Deep Learning & Deployment

TensorFlow

Advanced

Deep learning framework from Google for neural networks

PyTorch

Advanced

Deep learning framework favored by research and industry

Hugging Face

Advanced

Platform of pre-trained models and the transformers library

Streamlit

Optional

Fast framework for deploying AI applications to the web

Beginner

Essential

Intermediate

Advanced

Optional

Why an AI Class at EduPoint?

An approach that prepares you for an AI-driven working world

Active AI Practitioner Tutors

Learn from data scientists, ML engineers, and AI specialists who build real AI models in the industry every day. Material is always relevant to current practice.

4 Clear Career Tracks

From AI Productivity for daily productivity to GenAI Engineering for a career. Each track has phases, projects, and measurable career outcomes.

Learn with Real Projects

Not just tutorials. You build a functional AI portfolio - from custom GPTs to deployed machine learning models.

Constantly Updated Material

AI evolves every month. Our curriculum is continuously updated to follow the latest tools and techniques, with a focus on durable fundamental principles.

Suitable from Zero to Engineer

Personalized curriculum: non-IT professionals learn AI productivity without coding, aspiring engineers are guided from basic Python to deployment.

Integrated Career Mentoring

The Career Track package includes CV, portfolio, and interview prep guidance - connecting your AI skills with real job opportunities.

AI Tutors from the Tech Industry

Learn directly with data scientists, ML engineers, and AI specialists active in the industry

Tutor Qualifications

Graduates of Computer Science, Data Science, or relevant fields (Bachelor's/Master's)
Min. 3 years of experience as AI/ML practitioners in the industry
Actively building AI/ML models at startups or tech companies
Completed EduPoint internal training and certification
Background check and technical experience verification

Bangun Pratomo, M.Sc.

M.Sc. Data Science, Senior Data Scientist at a unicorn

Machine Learning, Data Analysis, Python

4.99 years in data science and machine learning experience

“AI is not magic; it is mathematics and data arranged neatly. I help students see the logic behind every model, so they build, not merely use.”

Ravyansah

B.CS., Machine Learning Engineer at an AI startup

Deep Learning, MLOps, Model Deployment

4.97 years building production ML systems experience

“Many people stop at tutorials. I push students to build real projects that get deployed, because a functional portfolio is what opens career doors.”

Anindya Hasna N.

M.T. Informatics, AI Researcher

Computer Vision, NLP, Neural Networks

4.98 years of computer vision and NLP research experience

“Computer vision and NLP feel intimidating from the outside. I break them into small steps anyone willing to learn gradually can understand.”

Rijal Alfani A.

GenAI Specialist & Prompt Engineer

LLM Engineering, RAG, Prompt Engineering

4.95 years building LLM applications and AI agents experience

“Generative AI changes how we work every month. I teach durable principles, so students stay relevant even as the tools keep changing.”

Nida Mazida S.

B.CS., Computer Vision Engineer at a tech company

Computer Vision, TensorFlow, PyTorch

4.86 years in computer vision experience

“I started learning AI without a coding background. That experience taught me exactly where beginners get lost, and how to guide them through it.”

Yusi Putri L.

AI Product Manager & Data Analyst

AI Productivity, Prompt Engineering, AI for Business

4.97 years in AI-based products and analytics experience

“Not everyone needs to become an AI engineer. Many of my students just want their work done faster and cleaner - and AI productivity answers that need.”

AI Class Testimonials

From students to professionals - how AI changed the way they learn and work

Yusuf Priadi

Undergraduate Management student

Yogyakarta

Coursework productivity sharply improved

As a Management student, I thought AI was only for IT people. After 8 sessions with Yusi, I can use ChatGPT for research, data analysis, and even build custom GPTs. My coursework is now much faster and higher quality.

Kharisma Richa D.

HR Specialist at a retail company

Bandung

HR workflow automated with AI

I work in HR and felt I was starting to fall behind on AI. Private lessons with Rijal taught me prompt engineering in a structured way. Now I use AI for CV screening, writing job descriptions, and analyzing employee surveys.

Muh. Hilmy F.

11th grade high school student

Surabaya

Found a clear university major direction

I'm in 11th grade and interested in a technology major for university. AI class with Anindya opened my eyes to machine learning. Now I can build simple prediction models with Python and have a clear direction for my major.

Anggita Cahya

Coffee business owner (SME)

Semarang

Shop operations more efficient

I own a coffee shop and joined the AI class for efficiency. Yusi taught me how to use AI for social media content, replying to customer chats, and sales analysis. The time once spent on admin can now go elsewhere.

AI Class Pricing

An investment in the most sought-after skill in the 2026 job market

Free tutor replacement guarantee in the first 2 sessions if not a fit

Trial Package

For trial sessions and initial level assessment

Rp 560.000

Rp 140.000/session • 4x pertemuan

Valid 1 month

4x meetings (90 minutes)
Free assessment of level and learning goals
Introduction to AI tools and prompt engineering basics
Recommendation of a suitable AI career track

Choose Package

Popular

Regular Package

Popular choice for professionals and university students

Rp 1.040.000

Rp 130.000/session • 8x pertemuan

Valid 2 months

8x meetings (90 minutes)
Focus on 1 track (AI Productivity or ML Foundations)
Session recordings and practice notebooks
Progress reports and code review
WhatsApp consultation between sessions
Free reschedule 2x

Choose Package

Intensive Package

For building a solid AI portfolio

Rp 1.920.000

Rp 120.000/session • 16x pertemuan

Valid 3 months

16x meetings (90 minutes)
Multi-module material with progress mapping
2-3 AI projects for your portfolio
Access to practice datasets and compute resources
In-depth code review for every project
Priority scheduling

Choose Package

AI Career Track Package

Complete mentoring toward an AI career

Rp 3.960.000

Rp 165.000/session • 24x pertemuan

Valid 5 months

24x meetings (120 minutes) with a senior practitioner
Complete track: ML / Deep Learning / GenAI Engineering
Portfolio of 4+ industry-ready projects
Guidance on deploying projects to production
Career mentoring: CV, portfolio, interview prep
Access to the EduPoint AI alumni community

Choose Package

Prices vary based on tutor level (junior/senior practitioner) and the chosen track. Free consultation available for package recommendations matching your goals.

Service Availability

Online Tutoring

Online Worldwide

Online AI classes via Zoom are available for participants across Indonesia and the diaspora abroad

Live coding and screen sharing with the tutor
Automatic session recordings for review
Access to practice datasets, notebooks, and compute resources
Code review and WhatsApp consultation between sessions

In-Person Tutoring

All Cities

In-person AI classes with the tutor coming to your location are available in the following cities

Jakarta85+ tutors Bandung38+ tutors Surabaya32+ tutors Tangerang24+ tutors Bekasi20+ tutors Depok22+ tutors Semarang18+ tutors Yogyakarta28+ tutors

+4 more cities

Student Achievements

Alumni Success Stories

The career journey of EduPoint AI class alumni

Success

From Accountant to Certified Data Analyst

Before

Accounting Staff

After

Data Analyst

Career switch into the data field within 8 months

8 months (Machine Learning Track)

“I had never touched Python before. My tutor guided me from the first line of code to building a prediction model. The key: learning gradually with real projects, not memorizing theory.”

Tutors:

Bangun Pratomo, M.Sc.

Success

A Student Who Built Their Own AI Startup

Before

Student

After

AI product founder

Launched a commercial AI product

10 months (Generative AI Engineering Track)

“The AI class taught me to build RAG and AI agents - not just to use ChatGPT. With those skills, I had the confidence to build my own product solving real SME problems around me.”

Tutors:

Rijal Alfani A.Ravyansah

Success

Career Switch from Customer Service to AI Engineer

Before

Customer Service

After

AI Engineer

Complete career switch into an AI engineer role

12 months (Deep Learning + GenAI Track)

“Switching careers in my 30s felt scary. But the AI class's clear roadmap and tutor mentoring made every step feel possible. Now I build AI systems used by thousands of people.”

Tutors:

RavyansahAnindya Hasna N.

AI Class FAQ

Frequently asked questions from prospective participants

Complete Guide

Complete AI Class Guide

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Start Your AI Class Now

Free consultation to find the AI learning track that best matches your goals and background

Free assessment of goals and initial levelRecommendation of a suitable AI career trackTutor replacement guarantee if not a fit

AI Class

What is AI Class?

AI Class Service Options

AI Learning Levels

AI Learning Modules

4 AI Career Tracks

AI Productivity Track

Machine Learning Track

Deep Learning Track

Generative AI Engineering Track

Who Is the AI Class For?

Professionals & Employees

University Students & Graduates

Junior High & High School Students

Career Switchers to AI/Tech

Content Creators & Creatives

Teachers, Lecturers & Business Owners

AI Tools You Will Master

1Generative AI & Productivity

ChatGPT

Claude

Google Gemini

Midjourney

2Programming & Data

Python

Jupyter / Google Colab

Pandas & NumPy

scikit-learn

3Deep Learning & Deployment

TensorFlow

PyTorch

Hugging Face

Streamlit

Why an AI Class at EduPoint?

Active AI Practitioner Tutors

4 Clear Career Tracks

Learn with Real Projects

Constantly Updated Material

Suitable from Zero to Engineer

Integrated Career Mentoring

AI Tutors from the Tech Industry

Bangun Pratomo, M.Sc.

Ravyansah

Anindya Hasna N.

Rijal Alfani A.

Nida Mazida S.

Yusi Putri L.

AI Class Testimonials

AI Class Pricing

Service Availability

Online Tutoring

In-Person Tutoring

Alumni Success Stories

From Accountant to Certified Data Analyst

A Student Who Built Their Own AI Startup

Career Switch from Customer Service to AI Engineer

AI Class FAQ

What is an AI class and what does it cover?

How much does an AI class cost per session at EduPoint?

Do I need to know how to code before learning AI?

Which AIs will I learn - ChatGPT, Claude, or others?

Is an AI class suitable for junior high and high school students?

Complete AI Class Guide

1Do You Need to Know How to Code Before Learning AI?

2Why AI Skills Are a Differentiator in the 2026 Job Market

3ChatGPT vs Claude vs Gemini: Choosing the Right AI Assistant

4Roadmap from Zero to AI Engineer

5Private AI Class vs Bootcamp vs Online Course: Which Is Right?

6Effective Tips for Learning AI

Start Your AI Class Now