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Certificate Course in

AI & Deep Learning

Build AI applications with Deep Learning algorithms and get set for a career as an AI expert.
  • 24 Hours Classroom & Online Sessions
  • 60+ Hours Assignments & eLearning
  • 100% Job Assistance
  • 2 Capstone Projects
  • Industry Placement Training
  • HRDF SBL-KHAS Claimable!
artificial intellignce course review in malaysia - 360digitmg
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artificial intelligence course review in malaysia - 360digitmg
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Academic Partners & International Accreditations
  • Artificial Intelligence course - ibm certificate
  • Artificial Intelligence course - utm certificate
  • Artificial Intelligence course panasonic certificate
  • Artificial Intelligence course careerex certificate

"AI market in Asia Pacific to grow from $6 billion in 2017 to $136 billion in 2025 with key Industries like Business Services, Healthcare, and Retail to adopt AI." - (Source). Artificial Intelligence is revolutionizing the working of organizations and industries, it is boosting employee productivity, enabling innovation, and accelerating growth. About 70% of business leaders and 65% of workers in Malaysia believe that AI will assist them to do their existing jobs better. Advanced technologies like robotics, IoT, Machine Learning, virtual reality (VR), and artificial intelligence (AI) are also assisting in improving the way business is done. With more companies shifting towards adopting the science of collaborating human intelligence in machines the demand for human capital with the relevant skill and expertise is also on the rise. As the digital economy flourishes, Artificial Intelligence (Ai) as a career will become extremely high in demand. As predicted, there will be 1.5 million professionals required in the digital space in Malaysia by 2025.

AI & Deep Learning

artificial intelligence course duration in malaysia- 360digitmg

Total Duration

2 Month

artificial intelligence course pre-requisite in malaysia- 360digitmg


  • Computer Skills.
  • Basic Mathematical Knowledge.
  • Basic Data Science Concepts.

Artificial Intelligence Course Program Overview

Artificial Intelligence training in Malaysia introduces you to the concept of AI which is the process of teaching machines to mimic the way humans learn. The idea behind AI is to mimic and simulate human intelligence in machines. These machines are artificially integrated with human-like intelligence to perform tasks we do. It can take a huge amount of data within a single domain and learn to predict or decide at superhuman accuracy and can analyze deeper data in a matter of seconds. This intelligence is built by using complex algorithms and mathematical functions. We use artificial intelligence in our day to day activities like our Smartphones, Google Search, Drones, Google Assistants (like Siri and Alexa). Artificial intelligence is revolutionizing the way the world works today and its potential is huge in depth and width.

Gain conceptual understanding as well as application-related skills in this Certification Program in AI and Deep Learning in Malaysia. Professionals with an aptitude for statistics and knowledge of programming languages such as Python, R, and RStudio can excel in their AI and Deep Learning career with this course. They will learn how to build AI applications, gain in-depth knowledge of understanding Neural Network architectures, creating AI algorithms, and minimizing errors through advanced optimization techniques.

What is Artificial Intelligence?

AI is making intelligent computer programs that make machines intelligent so they can act, plan, think, move, and manipulate objects like humans. Due to massive increases in data collection and new algorithms, AI has made rapid advancement in the last decade. It is going to create newer and better jobs and liberate people from repetitive mental and physical tasks. Companies are using image recognition, machine learning, and deep learning in the fields of advertising, security, and automobiles to better serve customers. Digital assistants like Alexa or Siri are giving smarter answers to questions and performing various tasks and services with just a voice command.

What is Deep Learning?

Deep Learning is often referred to as a subfield of machine learning, where computers are taught to learn by example just like humans, sometimes exceeding human-level performance. In deep learning, we train a computer model by feeding in large sets of labeled data and providing a neural network architecture with many layers. In the course of this program, you will also learn how deep learning has become so popular because of its supremacy in terms of accuracy when trained with massive amounts of data.

Course Details

AI Course Learning Outcomes in Malaysia

Artificial Intelligence is a broad field that covers several disciplines that include speech recognition, chatbots, machine learning, deep learning, biometrics, text analysis, and processing. Artificial intelligence continues to make breakthrough advancements to improve our quality of life across an array of settings. Working in the space of artificial intelligence one requires an analytical bent of mind to run through technical information and solve problems using economical and effective methodological course of action. An AI specialist should know how to design, maintain, and translate highly technical and sensitive information in ways that can be understood by others. This AI Training in Malaysia introduces you to the concept of Artificial Intelligence and Deep learning and helps you in understanding Neural Network Architectures, structuring algorithms for new AI machines, and minimizing errors through advanced optimization techniques. This course provides a challenging avenue for exploring the basic principles, techniques, strengths, and limitations of the various applications of Artificial Intelligence. Students will also gain an understanding of the current scope, limitations, and societal implications of artificial intelligence globally. They will investigate the various AI structures and techniques used for problem-solving, inference, perception, knowledge representation, and learning. You will also learn to

Build AI systems using Deep Learning algorithms.
Analyse sequence data and perform text analytics and Natural Language Processing using Recurrent Neural Networks.
Implement Deep Learning solutions and Image Processing applications using Convolution Neural Networks.
Process and analyse unstructured data such as images, videos and text.
Use various Python libraries such as Keras, TensorFlow and OpenCV to solve AI and Deep Learning problems.
Apply graphical processing units in using Deep Learning algorithms.
Block Your Time
artificial intelligence course - 360digitmg

24 hours

Classroom Sessions

artificial intelligence course - 360digitmg

60 hours

Assignments &

artificial intelligence course - 360digitmg

60 hours

Live Projects

Who Should Sign Up?
  • Those aspiring to be Data scientists, or Deep learning and AI experts.
  • Analytics managers and professionals, Business analysts and developers.
  • Graduates looking for a career in Machine learning, Deep learning or AI.
  • Professionals looking for mid-career shift to AI.
  • Students entering the IT industry.

AI & Deep Learning Training Modules in Malaysia

This Artificial Intelligence module has been conceived and structured to groom consummate AI professionals. This course will be the first stepping stone towards Artificial Intelligence and Deep Learning. In this module, you will be introduced to the analytics programming languages and will attempt to understand the evolution of AI and Deep Learning and learn the various applications and challenges faced in deep learning along with the best practices to overcome the challenges is also explained in detail. While there is a lot of statistical software and programming languages to perform deep learning activities, Python stands out from the rest. There are a lot of deep learning libraries such as Keras, TensorFlow, Theano, PyTorch, etc. and one will learn about Keras as well as TensorFlow as part of the training module.

Understand the evolution of AI and Deep Learning and learn the various applications of Deep Learning in building Artificial Intelligence applications. A brief history of Deep Learning and the pace of progress in the space of deep learning is pivotal for budding and emerging data scientists as well as AI experts. Challenges faced in deep learning along with the best practices to overcome the challenges is also explained in detail.

While there are a lot of statistical software and programming languages to perform deep learning activities, Python stands out from the rest. There are a lot of deep learning libraries such as Keras, TensorFlow, Theano, PyTorch, etc., and one will learn about Keras as well as TensorFlow as part of the training module. Image processing is an amazing field to become proficient at and hence you will also learn OpenCV, which stands for Open Computer Vision. The future belongs to Open-source libraries and the fastest development on emerging algorithms will happen in this space. Learning these concepts will help us gain an edge over competitors.

Understanding the treatment of both linearly separable boundaries as well as non-linear boundaries is pivotal for the success of AI experts as well as Data Scientists. In this module, one will learn about handling linear boundaries using the Perceptron algorithm. Understand how weights are assigned and how they are updated each time to reduce the error function. Learn about the Backpropagation algorithm and its application in reducing error using the Perceptron algorithm.

Artificial Neural Network, also called MLP or Multilayer Perceptron is used to handle nonlinear problems. 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.

Understand working with videos and images because the amount of data getting generated in this space is outstripping the volume of textual data. Understand the various features to be extracted from images including edges, textures, etc., by applying various kinds of filters such as Sobel, Harris Corner Detector. Also, learn about face detection using Viola-Jones and tracking human faces in videos. Alongside this also learn about a few image-related models such as image segmentation, image recognition, etc.

Understand how to work with images and videos for building predictive models. Learn about convolution layers as well as handling very small datasets. Understand how to improve the accuracy of models by performing data augmentation activities. Also one should be aware of the use of pre-trained models using feature extraction, fine-tuning, etc., in solving business problems. Finally visualizing the activation layers and heat maps for activation will complete the study to the fullest.

Understand working with textual sequence data and how to perform a one-hot encoding of words and characters. Learn about bi-directional RNNs as well as deep bi-directional RNNs. Learn about various RNN topologies and network architectures. Vanishing and exploding gradient problems are very prevalent in the field of recurrent neural networks. Understand Backpropagation Through Time, which is a different but slight variation from the regular backpropagation algorithm.

Advanced techniques in handling textual and sequential data are LSTMs and GRUs. Also, understand about forecasting temperature. Learn about bi-directional LSTMs and deep bi-directional LSTMs . Also, understand the stacking of various recurrent layers. Stacking recurrent layers will improve accuracy and understanding the same is extremely pivotal for the success of AI algorithms. Also, learn about 1D convolution for time series data. Finally combining CNN and RNN models is an art, which is explained in detail.

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.

Board games such as Tic-Tac, Go, AlphaGo uses reinforcement learning algorithms to build unbeatable games. Learn how Artificial Intelligence games are built using Neural network algorithms. Maximizing future rewards is the key to building reinforcement learning. Learn how to balance between exploration as well as exploitation in Q-Learning.

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How We Prepare You
  • Artificial Intelligence course
    Additional Assignments of over 60-80 hours
  • Artificial Intelligence course
    Live Free Webinars
  • Artificial Intelligence course
    Resume and LinkedIn Review Sessions
  • Artificial Intelligence course
    3 Month Access to LMS
  • Artificial Intelligence course
    24/7 Support
  • Artificial Intelligence course
    Job Assistance in Artificial Intelligence Fields
  • Artificial Intelligence course
    Complimentary Courses
  • Artificial Intelligence course
    Unlimited Mock Interview and Quiz Session
  • Artificial Intelligence course
    Hands-on Experience in a Live Project
  • Artificial Intelligence course
    Life Time Free Access to Industry Webinars
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AI & Deep Learning Course Panel of Coaches

AI Course trainers - 360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data Analytics, Digital Transformation, Industrial Revolution 4.0.
  • Over 14+ years of professional experience.
  • Trained over 2,500 professionals from eight countries.
  • Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv, Ebreeze, Alshaya, Synchrony Financials, Deloitte.
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, AgilePM (DSDM Atern).
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business.
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AI Course trainers - 360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data Science, Machine Learning, Business Intelligence and Data Visualisation.
  • Trained over 1,500 professional across 12 countries.
  • Worked as a Data Scientist for 14+ years across several industry domains.
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology, Infrastructure Library.
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, R, RStudio, Python, Tableau, Cognos.
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-dekho, Car-dekho) and many more.
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AI Course trainers - 360digitmg

Nitin Mishra

  • Areas of expertise: Data Science, Machine Learning, Business Intelligence and Data Visualisation.
  • Over 20+ years of industry experience in Data Science and Business Intelligence.
  • Trained professionals from Fortune 500 companies and students from prestigious colleges.
  • Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL.
  • Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more.
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artificial intelligence ibm certificate in malaysia - 360digitmg
artificial intelligence UTM certificate in malaysia - 360digitmg


Win recognition for your AI skills with the Certificate Programme in AI and Deep Learning. Stand out in this emerging yet competitive field with our certificate.

**All certificate images are for illustrative purposes only. The actual certificate may be subject to change at the discretion of the Certification Body.
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FAQs for AI & Deep Learning Course in Malaysia

The easiest way to understand the relationship between AI and Deep Learning is to visualise them as concentric circles. In that, AI is an idea that came first in which machines exhibit human intelligence. Machine Learning came next, which is an approach to achieve AI. And finally, Deep learning, which is driving today’s AI explosion, is a technique to implement Machine Learning.

While salaries of AI experts go up to US$ 1 million a year, it could start from US$ 150,000, on an average.

The salary range varies based on experience, industry, domain, geography and various other parameters. However, as a general rule of thumb, we can go with research conducted by job portals. On an average, in Malaysia, Machine learning professionals draw salaries of RM 165,074 per annum. On an average, Data scientist salaries are around RM 102,000 per annum.

We assign mentors to each student in this programme. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

Jobs in field of Artificial Intelligence in malaysia

Jobs in Field of AI & Deep Learning in Malaysia

This course on Artificial intelligence will open doors to many opportunities and is a viable career option as a Machine Learning Researcher/ Engineer, AI Engineer, Data Mining and Analyst, Data scientist, Business Intelligence Developer, and AI Research Scientist.

Salaries in Malaysia for Artificial intelligence Course

Salaries in Malaysia for Artificial Intelligence

Those who can work and convert digital pieces of information into human experiences will find a career in artificial intelligence to be rewarding and fruitful in meaningful ways. An expert in Artificial Intelligence (AI) gets an average salary of RM 165k in Malaysia

Artificial Intelligence Course Projects in Malaysia

Artificial Intelligence Projects in Malaysia

Artificial intelligence is giving computers the sophistication to act intelligently and there are many projects in the field of AI that one can take up to tackle common and complex global challenges in various fields like agriculture, healthcare, robotics, marketing, banking, etc.

Role of Open Source Tools in Artificial intelligence

Role of Open Source Tools in Artificial Intelligence

The various open source tools in AI technologies that can take your projects to the next level are the Python libraries such as Keras, TensorFlow, OpenCV along with tools like R and Rstudio. These are also used to solve AI and Deep Learning problems.

Modes of training for Artificial Intelligence Course

Modes of Training for Artificial Intelligence

The course in Malaysia is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.

Industry Application of Artificial Intelligence

Industry Applications of Artificial Intelligence

Industries like healthcare use AI to diagnose and treat medical conditions. The various Chatbots today are powered by AI. Logistics and Transportation also make use of AI to find the quickest shipment route and self-driving vehicles are undoubtedly the next big thing in this arena.

360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia

Level 16, 1 Sentral, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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