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AI Class

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
AI Class

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 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

Outcome

AI Power User in any field of work

Expected Salary

Productivity increase of 30-50%

Target Companies

Suitable for all industriesMarketingHROperationsEducation

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.

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

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.

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.

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.

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.

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/session4x 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/session8x 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/session16x 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/session24x 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

+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