Certificate Course in
AI & Deep Learning
- 24 Hours Classroom & Online Sessions
- 60+ Hours Assignments & eLearning
- 100% Job Assistance
- 2 Capstone Projects
- Industry Placement Training
- 100% HRD Corp Claimable!
463 Reviews
2117 Learners
Academic Partners & International Accreditations
Calendar-for-Virtual Interactive Classes
Start Date
AI & Deep Learning
Total Duration
2 Months
Prerequisites
- 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.
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
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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.
Tools Covered
Artificial Intelligence Trends in Malaysia
AI study and research in Malaysia are getting amazing traction from all corners of the industry as well as the government of Malaysia. The demand for AI professionals has spawned the need for good AI training institutes. The AI training landscape in Malaysia is dotted with a plethora of courses. It is imperative to choose an institute where the faculty have practical experience in developing AI solutions for businesses and research.
360DigiTMG is one such institute that has specialized in emerging technologies like Artificial Intelligence, Machine Learning, Deep Learning, and Data Science. Our faculty spend 70% of their time on live projects and 30% on training. The course curriculum has been developed by industry experts. Students get exposure to live projects with INNODATATICS(US) as part of the course curriculum. In Malaysia, AI professionals command the highest pay packages and the best place to gear up for an AI career is with 360DigiTMG.
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Program Fees
Start your course at RM 358.33
Full Course Fee RM 4300 (excl 6%SST)
0% Interest Free Installments options available.
Program Fees
| RHB Credit Card | Standard Instalment Price | Single Shot Price | Corporate Price |
|---|---|---|---|
| RM 358.33 (per month) |
RM 1433 (per month) |
RM 3870 |
for customised price and fully Claimable via HRDF |
| 12 Months | 3 Months | Single Payment |
How We Prepare You
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Additional Assignments of over 60-80 hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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6 Months Access to LMS
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Job Assistance in Artificial Intelligence Fields
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Complimentary Courses
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Unlimited Mock Interview and Quiz Session
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Hands-on Experience in a Live Project
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Life Time Free Access to Industry Webinars
Call us Today!
+60 19-383 1378AI & Deep Learning Course Panel of Coaches
Bharani Kumar Depuru
- Areas of expertise: Data Analytics, Digital Transformation, Industrial Revolution 4.0
- Over 18+ years of professional experience
- Trained over 2,500 professionals from eight countries
- Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
- Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
- Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Sharat Chandra Kumar
- Areas of expertise: Data sciences, Machine learning, Business intelligence and Data Visualization
- Trained over 1,500 professional across 12 countries
- Worked as a Data scientist for 18+ 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, Python, Tableau, Cognos
- Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
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Bhargavi Kandukuri
- Areas of expertise: Business analytics, Quality management, Data
visualisation with Tableau, COBOL, CICS, DB2 and JCL - Electronics and communications engineer with over 19+ years of industry experience
- Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
- Trained over 750+ professionals across the globe in three years
- Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
AI Certificate
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.
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Alumni Speak
"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."
"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."
Nur Fatin
Associate Data Scientist
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"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”
Thanujah Muniandy
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"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”
Ann Nee, Wong
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"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”
Mohd Basri
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"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."
"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”
Ashner Novilla
Our Alumni Work At
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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.
To become an AI engineer in Malaysia, start by obtaining a relevant degree in computer science, artificial intelligence, data science, or a related field. Gain proficiency in programming languages such as Python and frameworks like TensorFlow. Develop practical skills through projects and stay updated with industry trends. Build a portfolio showcasing your work and seek internships or entry-level positions. Network with professionals and continue learning to stay competitive.
In Malaysia, AI finds applications across various sectors, including finance, healthcare, agriculture, and transportation. In finance, AI algorithms are utilised for fraud detection, risk assessment, and personalised customer service. In healthcare, AI aids in medical image analysis, disease diagnosis, and drug discovery. In agriculture, AI assists in crop monitoring and yield prediction. Additionally, companies like 360DigiTMG offer AI solutions and training programs, contributing to the advancement of AI technology adoption in Malaysia.
Yes, Artificial Intelligence (AI) presents promising career opportunities in Malaysia. With industries across the country embracing AI technologies to improve efficiency, productivity, and decision-making, there's a growing demand for skilled AI professionals. Malaysian companies are investing in AI research and development, creating job openings for AI engineers, data scientists, machine learning specialists, and AI consultants. Pursuing a career in AI in Malaysia offers the potential for growth, innovation, and competitive salaries.
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
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 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
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
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 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.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
Sana Ahsan
2 years agoI still remember going through websites for the Data Scientist course and reading reviews. That's when I finally found 360DigiTMG. Today, I will consider 360DigiTMG as the best one because it has offered me way more than any other training institute can do: Incredible curriculum, instructors, mentorship, and most job search skills and interviews best practices. One of the best decisions I made, I strongly recommend the Data Science program at 360DigiTMG to anyone looking for a Data Scientist/Analyst role. I am happy to announce that presently I am deputed as a Specialist Data Scientist at one of the top MNC.
Suriyaa Kumar
2 years agoI attended the Certification in Data Science program by 360DigiTMG. The course was amazing. I had a great learning & networking experience. Also, trainers are highly experienced and knowledgeable in the field of Data Science. I will recommend this course to anyone who wants to become a Data Scientist.
Asyraaf Afandi
2 years agoI joined the Data Science Certification Program which is a great place to learn if you want to start your career in the Data Science industry. The trainers are very knowledgeable and will try to explain the topics until you truly understand it. I would definitely recommend others to join it.
Iqmal Harris
2 years agoThe courses are taught by seasoned industry experts who know how to train absolute beginners and established professionals alike. Glad to have trained under 360DigiTMG.
Zarif Iqram
2 years agoI worked on a Survival Analysis project, which gave me good exposure and boosted my skill set in Business Intelligence with Power BI. Good to have it more and be involved in the real-time projects.
360DigiTMG - 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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