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Advanced Artificial Intelligence

Develop business applications with Data Science and AI. Learn to store and manage databases with DBMS and learn coding skills with Python.
  • 120 Hours Classroom & Online Sessions
  • 6 Months Assignments & eLearning
  • 100% Job Assistance
  • Domain Specific Virtual Internship
  • Certification from Technology Leader - IBM
  • HRDF Claimable
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Academic Partners & International Accreditations
  • Data Science & AI - ibm
  • Advanced Artificial Intelligence with SUNY
  • Advanced Artificial Intelligence NEF
  • Data Science & AI course
  • data science with TCS

"Artificial Intelligence is poised to double the rate of innovation in Malaysia by 2021 and increase employee productivity by 60%." - (Source). The advancement in Artificial Intelligence is growing rapidly and will continue to evolve in the coming years. As Malaysia is emerging in the latest technologies, it’s playing a vital role in developing AI talents and getting prepared to spur the country’s economic growth. It is conducting many programs to rise AI talent and deliver knowledge to its citizens which is essential for the country to develop. As per business leaders’ opinions, in Malaysia Artificial Intelligence with innovation will get doubled and increases employee productivity by 60% by 2021. As Malaysia is gearing up for IR4.0, numerous companies are remodeling and adopting new technologies to remain competitive and relevant in the market.

Advanced AI

ai course duration

Total Duration

6 Months



  • Computer Skills.
  • Basic Mathematical Knowledge.

Advanced AI Programme Overview

Learn how to harness the power of data for smart business decision-making with the Professional Certificate in Data Science and AI. The nine-day Data Science training course in Malaysia is designed for both beginners and professionals who want to build a career in Data Science. Participants will develop a strong foundation in Data Science, AI and Deep Learning using Python and R. Students will dive into the architecture of the Relational database and learn to store and manipulate data using SQL and will also discover the difference between SQL and NoSQL databases. Potential techniques such as Statistical Analysis, Regression Analysis, Data Mining Unsupervised, Machine Learning, and Forecasting are trained with real-time projects. Students will get exposure to all the advanced Data Science tools such as Python, Tensorflow, Keras, OpenCV, and R. A module is dedicated to Python programming that will teach the fundamentals of data structures and you will learn how to create algorithms and how to test and debug Python code. With a dedicated team of trainers and personalized mentorship, the students will gain adequate knowledge and will be able to deliver outstanding results.
Data Science and AI
Data Science is related to analyzing, processing, and maintaining data sets. It aims at data modeling and data warehousing to trace the uncontrollably growing data set reaching the organizational goals. Artificial intelligence is the emerging technology used in machines to execute at reasoning by cloning human intelligence. With the aid of Deep learning and Natural language processing, AI technologists enable machines in identifying inferences and patterns. Artificial Intelligence automation has become easy and the development of Intelligent products is possible. Our Data Science and Artificial Intelligence certification program will help you in obtaining extensive knowledge and prepares you to be settled in high paid jobs.

Advanced AI Learning Outcomes

Understand the Applications of Deep learning.
Apply graphical processing units using Deep Learning algorithms.
Build AI systems using Deep Learning algorithms.
Process and analyze unstructured data such as images, videos, and text.

Who Should Attend

Head of Information Technology and Decision-makers
Analytics Managers/Professionals, Business Analysts, Software Developers
Professionals who are looking to get an understanding of Deep Learning and AI
Finally – Management who are aiming to get an understanding to embark on the journey of Artificial Intelligence

Block Your Time

block your seat

120 hours

Classroom Sessions

ai & deep learning

6 months

Assignments &

data science with AI

140 hours

Live Projects

Who Should Sign Up?

  • Those aspiring to be Data Scientists, AI experts, Business Analysts, Data Analytics developers
  • Graduates looking for a career in Data Science, Machine Learning, Forecasting, AI
  • Professionals migrating to Data Science
  • Academicians and Researchers
  • Students entering the IT industry

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.

You will be able to build the models using Faster RCNN and YOLO. Understand why fast YOLO is a better choice while dealing with object detection.

  • R-CNN
  • Fast R-CNN
  • Faster R-CNN
  • Mask R-CNN
  • YOLO and Types of YOLO

Learn to Build a chatbot using generative models and retrieval models. We will understand RASA open-source to build chatbots.

  • Introduction to Chatbot
  • NLP Implementation in Chatbot
  • Understanding RASA Installation

You will understand the advancements in LSTMs, learn about the language translation models, attention mechanism, transformer architecture, and its implementation.

  • Introduction to LSTMs disadvantages
  • Seq2Seq model and its components
  • Implementation of Seq2Seq
  • Introduction to transformers
  • Architecture of Transformers
  • Types of Transformers

Learn about the renowned unsupervised deep learning algorithm called Autoencoders. Understand about generating sentences using a combination of LSTM and Autoencoders. Also, learn about variational autoencoders for generating images and editing images. Another most used algorithm in the family of neural network algorithms is GANs. Learn about systematically implementing GAN. Learn about various elements of GANs including Deep Convolutional Generative Adversarial Network. A brief introduction to WaveNet, which is used to produce audio is also explained.

How We Prepare You
  • Data Science and AI in malaysia
    Additional Assignments of over 140+ hours
  • Data Science and AI in malaysia
    Live Free Webinars
  • Data Science and AI in malaysia
    Resume and LinkedIn Review Sessions
  • Data Science and AI in malaysia
    6 Months Access to LMS
  • Data Science and AI in malaysia
    24/7 Support
  • Data Science and AI in malaysia
    Job Assistance in RPA Fields
  • Data Science and AI in malaysia
    Complimentary Courses
  • Data Science and AI in malaysia
    Unlimited Mock Interview and Quiz Session
  • Data Science and AI in malaysia
    Hands-on Experience in a Live Project
  • Data Science and AI in malaysia
    Life Time Free Access to Industry Webinars

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