Bangkit Academy

Check Your Eligibility

For Students

All Indonesian University Student.
Indonesian citizens (WNI).
Meet all path-specific prerequisites.
Open to any major/faculty of an accredited Indonesian University.
When the program starts, ensure you are an active undergraduate (D4/S1) for a minimum 5th semester and an active undergraduate (D3) for at least the 4th semester. Meanwhile, all students from any semester can register during the registration period. Contact your campus to ensure your current semester is updated in the PDDikti platform.
Able to provide commitment letter and university recommendation letter.
Be able to commit 40+ hours of course activities (full time) per week and complete all assignments in an entire semester.
Only full-time enrollments are allowed. During the Bangkit Academy period, no other part/full-time activities (working, internship, community service program, volunteers, etc.) are permitted.
Be able to communicate in written and spoken English.

For Lecturer

All Indonesian Lecturer.
Indonesian citizens (WNI).
Have a basic background in Artificial Intelligence.

Learning Paths

New learning paths are now available. Bangkit offers 3 options, and you can choose the one that best suits you.

AI Engineer

New

Master the cutting-edge techniques and practical expertise needed to excel as an Artificial Intelligence Engineer with these comprehensive courses:

Getting Started with Python Programming
Learning Data Analysis with Python
Introduction to Machine Learning
Machine Learning Development
Applied Machine Learning
Building Machine Learning Systems
Advanced Machine Learning with TensorFlow
Generative AI
Machine Learning Operations (MLOps)

Have a strong foundation in logical thinking and problem-solving skills, basic computer proficiency, basic programming language knowledge (familiarity with at least one programming language), and a curious analytical mindset.

Have a laptop running these minimum specifications:

At least 8GB RAM
Operating System: Windows 10 or later, macOS 10.14 or later, or Linux
64-bit processor
Google Chrome web browser
A professional text editor installed (Pycharm, VSCode)
GPU (optional but recommended)

Data Scientist

New

Gain expertise in advanced analytics, machine learning, and data-driven decision-making to become a highly skilled Data Scientist with these comprehensive courses:

Google Data Analytics Professional Certificate
Introduction to Data Science
Getting Started with Python Programming
Data Analysis with Python
Introduction to Machine Learning
Math for Data Science
Fundamental of Data Processing
Machine Learning Development
Applied Data Science

Have a basic foundation in mathematics (algebra, linear algebra, trigonometry, statistics, and calculus), strong logical thinking and problem-solving skills, basic computer and programming language proficiency (e.g., SQL and Python), and a curious, analytical mindset.

Have a laptop running these minimum specifications:

At least 8GB RAM
Operating System: Windows 10 or later, macOS 10.14 or later, or Linux
64-bit processor
Google Chrome web browser
A professional text editor installed (Pycharm, VSCode)

Full-Stack Developer

New

Learn the fundamentals and core skills to build full-stack web applications by exploring both front-end and back-end development, along with cloud computing and artificial intelligence within these courses: