Deep Learning Principles and Practices
Deep learning is core competency of AI Engineer (AIE) in Kalbe CDT that consists of various neural models within discriminative, generative and reinforcement learning paradigms.
This course provides fundamental, conceptual and practical introduction to deep learning field. To pass this course effectively, students are required to have good understanding of statistics and probability concepts. This course will use Python programming languages and several frameworks. Beside class-room training, OJTA is mandatory for this course.
This course provides fundamental, conceptual and practical introduction to deep learning field. To pass this course effectively, students are required to have good understanding of statistics and probability concepts. This course will use Python programming languages and several frameworks. Beside class-room training, OJTA is mandatory for this course.
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Learners
Everyone -
Materials
14 Videos -
Duration
Up to 30 Hours -
Documents
PDFs


Prerequisites
Python Language and Machine Learning Concepts
Course Lessons
Meet our team
Risman Adnan received the B.Sc. and the M.Sc. in theoretical physics, and the Ph.D. degrees in computer science from Universitas Indonesia, in 1998, 2000, and 2021, respectively. Starting in 2004, he spent ten years as the Director of the Developer Ecosystem at Microsoft Indonesia. He joined Samsung Research and Development Indonesia (SRIN), as the Chief Technology Officer to incubate and nurture AI, IoT, and Cloud technology competencies, in 2014.
He joined Kalbe Digital Lab as the Digital Technology Director in 2023. His research interests include theoretical physics, machine learning, and quantum computing.