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Artificial Intelligence Training in Hong Kong

Searching for Artificial intelligence Course in Hong Kong? Well, your search comes to an end with GangBoard. The online training institute offers AI training in Hong Kong to provide detailed information about Artificial Intelligence and how it is making a difference in the growing industries. This course comes with a proper syllabus that covers topics including- graph visualization, deep learning, API, backpropagation and hyperparameters along with hands-on training projects. Our experienced trainers are well-versed with the entire training and explain complex concepts with real-world examples. Their ultimate goal behind providing the job-oriented training is helping candidates to crack the Microsoft Artificial Intelligence certification exam in a first attempt. Attaining and completing this course with additional job support can help candidates to land on a job with an average salary package of $150000 p.a. so, what are you waiting for? Book your AI training classes in Hong Kong.
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35 Hours
15 Hours
Training Courses in Hong Kong
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USD 300 USD 255Enroll now
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About Course

Artificial Intelligence training and certification course offered by the GangBoard is the one-time course students need to comprehend the concepts of Artificial Intelligence. Designed by the industry experts this course will cover the fundamental concepts including- data science, python basics, data importing, data manipulation, statistics, error metrics, and machine learning. In more concise terms this course is ideal for those who are dreaming of reserving the best paying jobs in the growing AI industry. 

What will you learn in this AI Training in Hong Kong?

Several important topics will be covered during this course. What students will learn are: -

  • Primary concepts of Artificial intelligence and deep learning
  • The purpose, benefits, scopes, stages, effects, and applications of AI
  • How to utilize AI and Machine learning for organizational purposes
  • How to develop AI-based AI applications
  • Modern branches of Artificial Intelligence 

Objectives of AI Training in Hong Kong?

The fundamental objective of providing job-oriented training to provide a complete overview of the artificial intelligence covering all the essential topics. The ultimate goal of AI training in Hong Kong is to educate students about:

  • How deep learning and machine learning can derive values to business
  • How AI, machine learning, and deep learning for real-time projects or businesses
  • Also, they will gain knowledge about the AI algorithms that are used to enhance the workflow to solve problems

Who should attend AI Training in Hong Kong?

This course is crafted to cater to the needs of individuals who are willing to learn about Artificial Intelligence and derive to ROI to their business. The range of professionals that can pursue this live instructor-led training is given below:

  • Developers who want to take over the role of machine learning engineer
  • Information architects
  • Analytics managers
  • Fresher/graduates who want to build a career in AI and Machine learning

What are the prerequisites of AI Training in Hong Kong?

There are no boundaries or prerequisites to pursue the AI training certification in Hong Kong and it certainly doesn’t require any IT background. Therefore, anyone who is willing to learn can pursue this course.

What are the AI opportunities in Hong Kong?

Artificial Intelligence is the technology that is molding the world around us, making it more advanced than before. The concepts of AI and machine learning can be easily witnessed in electronic gadgets and tech we use in our day-to-day lives. So, once you complete the AI training in Hong Kong, you can obtain jobs like: -

  • Computer scientist
  • Computer engineer
  • Research scientist
  • Algorithm specialist
  • Electronic engineer

Artificial Intelligence Training Syllabus

Session 1: Introduction of python

  • Why do we need Python?
  • Program structure

Execution steps

  • Interactive Shell
  • Executable or script files
  • User Interface or IDE

Session 2: Datatypes in python

Memory management and Garbage collections

  • Object creation and deletion
  • Object properties

Data Types and Operations

  • Numbers
  • Strings
  • List
  • Tuple
  • Dictionary
  • Other Core Types

Session 3: Loops and expression in python

Statements and Syntax

  • Assignments, Expressions, and prints
  • If tests and Syntax Rules
  • While and For Loops
  • Iterations and Comprehensions

Session 4: Load and export files in python

File Operations

  • Opening a file
  • Using Files
  • Find and replace

Session 5: user-defined function in python

Functions

  • Function definition and call
  • Function Scope
  • Arguments
  • Function Objects
  • Anonymous Functions

Session 6: Exception handling in python

Exception Handling

  • Default Exception Handler
  • Catching Exceptions
  • Raise an exception
  • User-defined exception

Session 7: Working pandas in python

Advanced Concepts

Pandas Section

  • Python Pandas – Introduction
  • Introduction to Data Structures
  • Python Pandas – Series
  • Python Pandas – Data Frame
  • Python Pandas - Basic Functionality
  • Python Pandas - Descriptive Statistics
  • Python Pandas - Indexing and Selecting Data
  • Python Pandas - Function Application
  • Python Pandas – Reindexing
  • Python Pandas – Iteration
  • Python Pandas – Sorting
  • Python Pandas - Working with Text Data
  • Python Pandas - Options and Customization
  • Python Pandas - Missing Data
  • Python Pandas – GroupBy
  • Python Pandas - Merging/Joining
  • Python Pandas – Concatenation
  • Python Pandas - IO Tools
  • Python Pandas - Comparison with SQL
  • Python Pandas – Dates Conversion

Session 8: Data science

Data Science and AI

All the topics in data science will cover with the following concept:

Mathematics beside of each model

Which scenario we want to use a particular algorithm

How to apply it in tool

The inferential thing of each model

 Difference between each model

  • Introduction to Machine Learning & Predictive Modelling
  • Major Classes of Learning Algorithms -Supervised vs Unsupervised Learning

Statistics

  • Standard Deviation
  • Variance
  • Concept of hypothesis testing
  • T-test
  • Chi-square
  • Anova
  • Correlation
  • Probability
  • Outliers
  • Drop highly correlated features

Machine Learning

Supervised Learning – Classification      
  • Support vector machines classifier
  • Naïve Bayes
  • Nearest Neighbour
  • Logistic Classification
  • Decision tree Classifier
  • Random forest classifier

Supervised learning -Regression

  • Linear Regression
  • Multiple Regression
  • Polynomial Regression
  • Exponential Regression          
  • Decision tree Regression
  • Random forest Regression
  • Feature selection using regression

Unsupervised Learning -Clustering

  • K means clustering
  • Hierarchical clustering

Ensemble method Techniques 

Introduction to Natural Language Processing
Pre-processing Text
  •  Get Synonyms from words
  • Bag of Words
  • Remove Punctuation
  • Remove Stop Words
  • Replace Characters
  • Stemming Words
  • Lemmatization with Python
  • Gender finder
  • Strip Whitespace
  • Tokenize Text
  • speech tagging
  • Sentence Segmentation 
Convert Text to Speech in PythonDeep Learning

A subset of ML, Deep Learning (DL) is re-branding of neural networks- a class of models inspired by biological neurons in our brain.

Overview of a neural network, ANN

Upcoming Batches

Start Date End Date Time (EST) ( UTC -5) Day
22 Nov 2019 20 Dec 2019 (08:30 PM - 11:00 PM) Fri,Sat
23 Nov 2019 21 Dec 2019 (08:30 AM - 11:00 AM) Sat,Sun
25 Nov 2019 23 Dec 2019 (08:30 PM - 10:00 PM) Mon-Fri
26 Nov 2019 24 Dec 2019 (10:00 AM - 11:30 AM) Tue-Sat
26 Nov 2019 24 Dec 2019 (08:30 AM - 10:00 AM) Tue-Sat

Artificial Intelligence Training in Hong Kong Reviews

FAQ

Detailed installation of required software will be displayed in your LMS. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.

No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.

Top-notch professionals in that field who understands how to convey things in technical as well as subject matter experts.

We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.

  1. Visa Debit Card / Credit Card
  2. American Express
  3. Master Card, Or
  4. PayPal

You can reach us through +91-9707 250 260 / +1-917 410 5449. Or you can share your quires through enq@gangboard.com. Estimated turnaround time will be 24 hours for emails.

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