- Keras (Neural Network Library)
- Transformers
- LLMs
- PyTorch (Machine Learning Library)
- Deep Learning
- Artificial Intelligence
- Neural Networks
May 2, 2023
Approximately 4 months at 10 hours a week to completeBAGUS WIDIANTORO S.KOM's account is verified. Coursera certifies their successful completion of IBM IBM AI Engineering Specialization.
Course Certificates Completed
Introduction to Deep Learning & Neural Networks with Keras
Introduction to Neural Networks and PyTorch
AI Capstone Project with Deep Learning
Deep Learning with Keras and Tensorflow
Machine Learning with Python
Introduction to Computer Vision and Image Processing
Describe machine learning, deep learning, neural networks, and ML algorithms like classification, regression, clustering, and dimensional reductionÂ
Implement supervised and unsupervised machine learning models using SciPy and ScikitLearnÂ
Deploy machine learning algorithms and pipelines on Apache SparkÂ
Build deep learning models and neural networks using Keras, PyTorch, and TensorFlowÂ
Earned after completing each course in the Specialization
IBM
Taught by: Alex Aklson
Completed by: BAGUS WIDIANTORO S.KOM by April 3, 2023
2 - 3 hours/week
IBM
Taught by: Joseph Santarcangelo
Completed by: BAGUS WIDIANTORO S.KOM by April 27, 2023
6 weeks of study, 2-3 hours/week
IBM
Taught by: Alex Aklson & Joseph Santarcangelo
Completed by: BAGUS WIDIANTORO S.KOM by May 2, 2023
IBM
Taught by: Samaya Madhavan, Ricky Shi, Alex Aklson, Romeo Kienzler, Joseph Santarcangelo, Wojciech 'Victor' Fulmyk & JEREMY NILMEIER
Completed by: BAGUS WIDIANTORO S.KOM by April 30, 2023
7 weeks of study, 3-4 hours per week
IBM
Taught by: SAEED AGHABOZORGI & Joseph Santarcangelo
Completed by: BAGUS WIDIANTORO S.KOM by March 30, 2023
5-6 weeks of study, 3-6 hours per week
IBM
Taught by: Aije Egwaikhide & Joseph Santarcangelo
Completed by: BAGUS WIDIANTORO S.KOM by April 13, 2023
6 weeks of study, 3-4 hours/week (Approximately 15 hours to complete)