AI Development_Phát triển UDTTNT

AI Development

Tín chỉ: 3
Bậc: Bachelor
Thang điểm: 10
Điểm qua: 5

Mô tả

Learn how to build real-world AI applications with TensorFlow! In this hands-on course, you’ll train neural networks for computer vision, apply techniques like data augmentation, dropout, and transfer learning, and build natural language processing systems using RNNs, GRUs, and LSTMs. Through project-based learning, you’ll gain practical experience creating image classifiers, object detectors, and text generators—preparing you with the skills to design and deploy powerful AI solutions.

Phân bổ thời gian

45h (60 sessions) contact hours + 1h final exam + 104h self-study;

Nhiệm vụ sinh viên

- Students must attend at least 80% of contact slots in order to be accepted to the final examination. - Student is responsible to do all exercises, assignments and labs given by instructor in class or at home and submit on time - Use laptop in class only for learning purpose - Promptly access to the FU FLM at https://flm.fpt.edu.vn/ for up-to-date course information

Công cụ

Jupyter Notebooks, Google Colab, ChatGPT, Github Copilot

Lưu ý

1) On-going Assessment - Report 1: Project Proposal [ Oral group presentatation] : 10% - Report 2: Data Tasks [ Oral group presentatation]: 10% - Report 3: Model & Results [ Oral group presentatation]: 30% - Report 4: Final report & Group presentatation: 10% - 1 progress tests: 10% - 1 Final Exam: 30% 2) Final Result 100% Completion Criteria: 1) Every on-going assessment component > 0 2) Final Exam Score >= 4 & Final Result >= 5