VTC Academy | Decision Making
VTC Academy VTC Academy
Decision Making
LEVEL 2 / SPECIALIST
Decision Making
4.9 (6456)

Learning method: On campus

Duration: 16 weeks

Major: Artificial Intelligence

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Benefits, Highlights & Applicable areas of Decision Making
Healthcare
Healthcare
Fraud detection
Fraud detection
Insurance
Insurance
Marketing/Customer service
Marketing/Customer service
Financial transactions
Financial transactions
Production process
Production process
Who can learn?

GROUP 1: People who know about python programming, linear algebra, analytics, optimization * People who have logical thinking and critical thinking *

GROUP 2: Students who have been awarded AI Practitioner certificates by VTC Academy

* Subject to the International-standards-based competency assessment of VTC Academy

Course overview
  • Machine Learning, Planning and Reasoning methods, models and algorithms for Decision Making in both business and technical fields
  • Models and algorithms for Decision Making: Random Forest, Boosting/Stacking/Bagging, Multi-armed Bandits, sArsA and Q-learning, DQN, AlphaZero, Causal Reasoning, Recommender system
  • Deep Learning Techniques: Generative Adversarial Networks (GANs), Variational Autoencoder (VAE), meta/transfer/few-shot learning, evolutionary search, BayesOpt, DeepRL, etc.
  • Topics of Decision Making: The orientation of marketing campaign, customer segmentations, staff evaluation, risk assessment, recommendation systems, financial forecasts, planning, gaming, etc.
  • Step-by-step development of Deep Learning and AI applications
Course outcomes
Decision Making
01
Know how to build and develop different models, algorithms and ideas systematically in Deep Learning for Decision Making.
02
Have worked with multimodal data including images, videos, audios, texts, web traffic, signals.
03
Able to apply reasoning tools in developing models and algorithms for Decision Making.
04
Able to optimize and adjust Machine Learning models based on the purpose of the implementation (Cloud, Web, Mobile, Edge devices).
05
Able to implement new Math solutions in real applications; Design solutions using excellent algorithms; Collect, process, label, train, implement, evaluate, update Machine Learning models.
Decision Making
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Contact us
For further information, please leave your enquiry here.

  • Ho Chi Minh City: 0818 799 299
  • Hanoi: 0981 114 757