Advanced Deep Learning Professional (ADLP)

Advanced Deep Learning Professional (ADLP)

Artificial intelligence has a wide range of uses in businesses. Studies have shown that Artificial Intelligence is expected to continue transforming businesses, enhancing business processes in every industry verticals.

Deep learning, an advanced artificial intelligence technique that relies on neural networks to engage in non-linear reasoning. Some examples of its application are in fraud detection and self-driving cars. It has promised to transform businesses due to its scalability and more detailed model. With its advanced prowess and independence, Deep Learning’s potential to remake and transform businesses are limitless.

Advanced Deep Learning Professional (ADLP)


Course Fee is in Singapore Dollars (SGD) . Apply for Financial Aid

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  • Duration: 3 Day / 24 Hours

  • Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination

  • Who Should Attend: Aspiring Artificial Intelligence professionals, Data Analyst, Computer Scientist, Programmers, and Anyone interested in pursuing a career in the areas of Artificial Intelligence and Deep Learning

Course Objective

Acquire the essential knowledge and technical skills on how manage and deploy Artificial Intelligence and Deep Learning in an organization.

Learn the Python Programming and its extensive libraries to develop the core components of Deep Learning, Computer Vision, Neural Network and Natural Language Processing (NLP) technologies


It is recommended that participants have some prior experience in computer science or have successfully completed Certified Machine Learning Expert.


Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Deep Learning and Python Programming based on the syllabus covered

Participants are expected to score a minimum of 70% to pass the examination

Course Outline

Module 1
Introduction to Deep Learning

Topics Covered

  • What is Artificial Intelligence and Machine Learning?
  • Understanding Learning Representation of Data
  • Probabilistic Modeling
  • Kernel Methods
  • Decision trees, Random Forests, and Gradient Boosting Machines
  • Fundamentals of Deep Learning
  • Understanding Neural Networks
  • What Makes Deep Learning Different
  • Hardware, Data, and Algorithms of Deep Learning
  • How Deep Learning Works
  • Deep Learning and Its Application
  • Future of Deep Learning
Module 2
Data Representation in Neural Networks

Topics Covered

  • Scalars, Vectors, Matrices
  • 3D Tensors and higher-dimensional tensors
  • Key Attributes
  • Manipulating Tensors in Numpy
  • The Notion of Data Batch
  • Examples of Data Tensors
  • Vector Data
  • Timeseries Data or Sequence Data
  • Image and Video Data
Module 3
Neural Networks: Tensor Operations and Gradient-Based Operations

Topics Covered

  • Element-wise Operations
  • Broadcasting
  • Tensor Dot
  • Tensor Reshaping
  • Geometric Interpretation of Tensor Operations
  • Geometric Interpretation of Deep Learning
  • Introduction to Derivative
  • Derivative of a Tensor Operation: Gradient
  • Stochastic Gradient Descent
  • The Backpropagation Algorithm
Module 4
Getting Ready for Deep Learning and Structure of Neural Network

Topics Covered

  • Key Considerations
  • Setting up Jupyter Notebooks
  • Setting up of Keras
  • Deep Learning in a Cloud
  • Identifying the Best GPU for Deep Learning
  • What are the Layers for Deep Learning?
  • Neural Network Models
  • Core Elements to Configuring a Learning Process
  • Introduction to Keras, TensorFlow, Theano, and CNTK
  • Brief Overview of Keras
Module 5
Classification and Regression Models in Deep Learning

Topics Covered

  • Data preparation for Binary Classification
  • Building a Binary Classification Network
  • Validating Approach
  • Using a Trained Network to Generate Predictions on New Data
  • Data Preparation for Multi-Class Classification
  • Building Multi-Class Classification Network
  • Validating Approach
  • Generate Predictions on New Data for Regression Model
  • Alternative Ways to Handle Labels and Loss
  • Importance of Having Sufficiently Large Intermediate Layers
  • Preparing the Data
  • Building Network
  • Validating Approach using K-Fold Validation
Module 6
Deep Dive into Computer Vision (CV)

Topics Covered

  • Introduction to Convnets
  • Understanding Convolution Operation and Max Pooling Operation
  • Training a Convnet on a Small Dataset
  • Understanding the Relevance of Deep Learning for Small-Data Problems
  • Downloading the Data and Building the Network
  • Data Pre-processing and Data Augmentation
  • Visualizing Intermediate Activations
  • Visualizing Convnet Filters
  • Visualizing Heatmaps of Class Activation
Module 7
Deep Learning for Text and Sequences

Topics Covered

  • Encoding of Words or Characters
  • How is Word Embedding Being Used?
  • From Raw Text to Word Embeddings
  • Understanding Recurrent Neural Networks
  • What is LSTM and GRU Layers?
  • What is a First Recurrent Baseline
  • Using Recurrent Dropout to Fight Overfitting
  • Stacking Recurrent Layers
  • Using Bidirectional RNNs
  • Understanding 1D Convolution for Sequence Data
  • 1D Pooling for Sequence Data
  • Implementing a 1D Convnet
  • Combing CNNs and RNNs to Process Long Sequences

Advanced Deep Learning Professional (ADLP) involves rigorous usage of real-time case studies, hands-on exercises and group discussion

Some Reasons Why Learners Choose CASUGOL

  • International Certification Body

  • Presence in 38 Countries

  • Developed by Industry Experts

  • More than 42,000 professionals passed through our education system

  • Flexible program design for all individuals

  • Learn from internationally renowned leading industry experts, academics, and researchers

  • Support for participants during and after training

  • Enhance competency of workforce and improve individual career prospect

  • Customization of programs for specific industry, organization, government agencies, statutory boards

  • Learn in a highly interactive, supportive and encouraging environment

  • Regular invitation to attend courses / workshops / seminars / events at complimentary rate

Individual or Self-Sponsored Learners

  • STEP ONE: Select your preferred batch / category above

  • STEP TWO: Click on Add to Cart

  • STEP THREE: In the pop-up page, click on View Cart

  • STEP FOUR: In the Cart page, click on Proceed to Checkout

  • STEP FIVE: In the Checkout page, complete the Billing Details and click on Place Order

For corporate-sponsored participants, batch registration, or any questions on the course
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Certificate Verification

All certificates issued by CASUGOL are to individuals who have successfully completed CASUGOL Certification Programs / Executive Workshops and have fulfilled all requirements by demonstrating proficiency in applying the knowledge and skills acquired.

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CASUGOL is dedicated to making education, knowledge, and resources accessible to everyone around the world. Our Financial Aid is aimed to empower learners who may encounter financial barriers in pursuit to advance their knowledge and technical know-how.

If you are unable to cover the costs of a course, you have the opportunity to request financial aid via the link found on the course's homepage. Upon approval for financial aid, you will gain full access to all course materials and can successfully complete the course to obtain a certificate.

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How to Apply

To apply for financial aid:

  • Step 1: Visit the Course Page and Click on the Apply Financial Aid below the Course Fee
  • Step 2: Fill out the form and submit your application
  • Step 3: Make sure your application meets a maximum of 250 word count
  • Step 4: Wait up to 24 Hours for your application to be reviewed

Upon reviewing your application, you will receive an email notification informing you of the approval or denial status.

What Will I Receive?

If you’re approved for financial aid, you’ll receive a discount off the cost of the course. We offer financial aid to help empower learners who wouldn’t otherwise be able to afford the course fee.

In order to fairly distribute financial aid resources to the learners who need it the most, the amount of financial aid you receive may depend on the details in your application and your geographical location.

Application Status

Approved Applications

Upon approved, you will receive an email letting you know. Please follow the instructions provided in the email to begin your learning journey.

Rejected Applications

In the event that your application is declined, you will receive an email providing an explanation for the denial. If there were any issues with your initial application, you have the option to submit a new application and reapply.

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What You Can Expect

Technology-Based Training

Open-Source Tools

80% Hands-On Exercises / 20% Theory

Designed by Industry Leaders and Subject-Matter Experts

Progressive Learning

Highly interactive, supportive and encouraging

Be recognized as a CASUGOL Certified Professional

What Learners Say

Superb training experience!
Lilian Tan
Lilian Tan
Elaine Chan Wai Kuen
Elaine Chan Wai Kuen
Nazrul Azmi
Nazrul Azmi
Syamil Ani
Syamil Ani
Very in depth seminar conducted by Mr Dwayne Ong on CDTP course. We appreciate your time and support for the past 2 days on the course. Mr Dwayne was very knowledgeable and offered very valuable information. Great tools to apply for organizations moving towards Digitalizations
Bahagian Pengambilan Pelajar IPT
Bahagian Pengambilan Pelajar IPT
Very informative class. Participants able to learn latest trend in digital trend
Iman Cipta
Iman Cipta
It was an amazing experience. A very interesting learning experience outside my expertise
hamizan malek
hamizan malek
Nice experience on this training. Thank you.
MengKeong San
MengKeong San
Machine learning is very interesting
Esther Sihuraa
Esther Sihuraa
Emanuel Antonius
Emanuel Antonius
Learn enjoy with CASUGOL😁
Afri Official
Afri Official
Very nice
Khevind Adrian
Khevind Adrian
ferdy santoni
ferdy santoni
Jonatan Abednego
Jonatan Abednego
Adi Gunawan Lase
Adi Gunawan Lase
Great training experience!
Joshua P. Romero
Joshua P. Romero
The integration of case studies into our 2-day training has been instrumental in deepening our knowledge and preparing us to tackle real-world challenges in DX. It has been an engaging and enriching experience! Thank you, Dwayne/ CASUGOL =)
Yvette Halili-De Leon (YHD)
Yvette Halili-De Leon (YHD)
Training delivery was amazing. Complicated and technical concepts were distilled and made simple for participants to easily understand and relate to.Highly recommended for professionals who wants to upskill and bring better value to their respective organizations.
francis nepomuceno
francis nepomuceno
Nandito Tan
Nandito Tan
Its very informative and detailed
Veron Vernando
Veron Vernando
Pelatihan yang menarik dalam mempelajari design thingking profesional
raja doly sirait
raja doly sirait

Artificial Intelligence Shorts

Quick lessons on a wide range of topics related to Artificial Intelligence (AI). Learn pragmatic tips on Artificial Intelligence (AI) deployment strategies, and acquire technical insights that can easily be applied in different scenarios.

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