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)

$1,160.00

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

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Mode of Delivery

Date

Time / Duration

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SKU: N/A Category: Certification Programs Tags: business intelligence, data analytics, data science, digital marketing, digital transformation

Description

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

Pre-Requisite

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

Examination

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

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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

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4.9

Nithish Rao Sivakumar

ramachandran R

Madhumithra Ramesh

Got an hands on experience in digital transformation especially on new trending and revolutionary technologies like AI,ML,Cyber security, IOT, Big data analytics, etc...

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nice experience and learned a more detailed knowledge

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Great place to learn

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I learnt Digital transformation course which is very iseful

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PRASATH RAJARAMAN

Nice session and very interactive staff

SARAVANA KUMAR

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Ashoka Ganesan

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HARISH P

The course was good and helpful

Sivakumar B

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Karthikka Sureshbabu

The Lecture class was good and the lecturer is also expert in the topic

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