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.

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
Via Zoom with screen sharing and live coding
- 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
Tutor comes to your location for intensive sessions
- 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
Learn alongside 2-4 participants with similar interests
- 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
Foundation for absolute beginners. Understand what AI is, how it works, and the available tools. No coding required at all.
Subjects:
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)
Master prompt engineering and AI tools to boost work and study productivity. Suitable for professionals and students without a technical background.
Subjects:
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
Learn to build machine learning models from data. Requires programming logic basics, which will be guided from the start.
Subjects:
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 dive into neural networks for computer vision and NLP. For those who have mastered basic machine learning.
Subjects:
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
Advanced training to build real AI applications. Focus on Large Language Models and production deployment.
Subjects:
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.
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
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
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
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
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
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
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
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
Machine Learning Track
Deep Learning Track
Generative AI Engineering Track
Skills to Learn:
Project:
Audit your daily work and identify tasks AI can assist with
Milestone:
Understand when and how to use AI appropriately
Skills to Learn:
Project:
Audit your daily work and identify tasks AI can assist with
Milestone:
Understand when and how to use AI appropriately
Skills to Learn:
Project:
Build 3 AI assistants for specific work needs
Milestone:
Able to consistently produce high-quality AI output
Skills to Learn:
Project:
Build 3 AI assistants for specific work needs
Milestone:
Able to consistently produce high-quality AI output
Skills to Learn:
Project:
Automate one full work process using a combination of AI tools
Milestone:
Daily workflow automated, productivity noticeably improved
Skills to Learn:
Project:
Automate one full work process using a combination of AI tools
Milestone:
Daily workflow automated, productivity noticeably improved
Outcome
Expected Salary
Productivity increase of 30-50%
Target Companies
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:
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:
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:
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:
Content Creators & Creatives
YouTubers, designers, and creators who want to leverage generative AI for content. AI accelerates image, video, and writing production.
Recommended:
Teachers, Lecturers & Business Owners
Educators who want to integrate AI into teaching, and business owners/SMEs who want to automate operations with AI.
Recommended:
AI Tools You Will Master
From no-code generative AI to professional frameworks for building models
1Generative AI & Productivity
ChatGPT
EssentialVersatile LLM from OpenAI for writing, analysis, and coding
Claude
EssentialLLM from Anthropic, excels at long-form analysis and reasoning
Google Gemini
EssentialGoogle's multimodal LLM, integrated with Workspace
Midjourney
IntermediateHigh-quality AI image generator for creative visuals
2Programming & Data
Python
EssentialThe main programming language for AI and machine learning
Jupyter / Google Colab
EssentialInteractive environment for model experimentation and training
Pandas & NumPy
IntermediateLibraries for data manipulation and analysis
scikit-learn
IntermediateMachine learning library for classic models
3Deep Learning & Deployment
TensorFlow
AdvancedDeep learning framework from Google for neural networks
PyTorch
AdvancedDeep learning framework favored by research and industry
Hugging Face
AdvancedPlatform of pre-trained models and the transformers library
Streamlit
OptionalFast framework for deploying AI applications to the web
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
- 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
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 improvedAs 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 AII 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 directionI'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 efficientI 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 fitFor trial sessions and initial level assessment
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
Popular choice for professionals and university students
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
For building a solid AI portfolio
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
Complete mentoring toward an AI career
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
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 WorldwideOnline 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 CitiesIn-person AI classes with the tutor coming to your location are available in the following cities
Alumni Success Stories
The career journey of EduPoint AI class alumni
From Accountant to Certified Data Analyst
Before
Accounting Staff
After
Data Analyst
“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:
A Student Who Built Their Own AI Startup
Before
Student
After
AI product founder
“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:
Career Switch from Customer Service to AI Engineer
Before
Customer Service
After
AI Engineer
“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:
AI Class FAQ
Frequently asked questions from prospective participants
Complete AI Class Guide
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