Advanced Artificial Intelligence

Advanced AI Training Modules

By the professional certification course in Data Science and AI in Malaysia, students will learn important tools like Python, Keras, Tensor flow, R, and many more. The modules begin with an introduction to a database management system where they will explore the various applications of DBMS and how this technology is being leveraged to store and retrieve data with utmost efficiency. Learn about the Linear regression, Logistic regression, Naive Bayes, Decision Trees, Support Vector systems, and so on. Will Understand the evolution of AI and Deep Learning and learn the various applications of Deep Learning in building Artificial Intelligence applications. Challenges faced in deep learning along with the best practices to overcome the challenges is also explained in detail. Understand the various network architectures along with different layers including input layers, hidden layers, output layers, etc. Also learn about the various activation functions, error functions, optimization algorithms including Batch Gradient Descent, Stochastic Gradient Descent, Mini-batch SGD, etc. Students will understand two main modules of feature engineering including feature extraction and feature selection. Knowing how to shortlist the critical inputs from trivial many inputs is the key to ensuring the high performance of the machine learning models. Understand about extracting features from structured as well as unstructured data such as videos, images, audio, textual files, etc. A major branch of study in data science is Machine Learning also called Data Mining Supervised Learning or Predictive Modelling. One will learn about K Nearest Neighbors (KNN), Decision Tree (Boosting), Random Forest (Bagging), Stacking, Ensemble models, and Naïve Bayes. Students will gain knowledge about the various regularisation techniques and will be able to evaluate overfitting (Variance)and Underfitting(bias). The concluding module will teach you coding with the help of Python programming its use to create web applications. And many effective and significant modules are covered to generate workforce to the changing business trends. All these are explained using industry relevant use cases and mini-projects.