What Will You Learn?

Explore Our Comprehensive Course Catalogue

Web Development

Introduction to UX Design
Building Mockups for Web Design

Getting Started with HTML: Introduction and Basics
HTML Tags, Metadata, and Forms: Essential Elements for Web Development
HTML vs. HTML5: Understanding the Differences
Developing with HTML: Tips and Tools for Success

Getting Started with CSS3
CSS3 Syntax and Usage
Using CSS3 for Responsive Web Design
Exploring CSS3 Frameworks: Bootstrap and Tailwind
Creating Stunning Visuals with CSS3 Animations

Data types and flow control
Functional programming
Objects and prototypes
Error Handling
Refactoring and Debugging

Inheritance, Constructors and Destructor
Encapsulation
Polymorphism

SQL and NoSQL databases

SQLite3

Data Modeling

Django ORM

Introduction to Server-Side JavaScript with TypeScript
Working with NPM (Node Package Manager)
JavaScript Build Processes for Node.js
Understanding GraphQL in Node.js
Building APIs with Node.js

Data Management
Communication Implementation
Aggregation Framework
CRUD Operations
Communication Implementation
Database Configuration

Beginner
Intermediate
Advanced

Data Science

Overview of Data Science
Importance of Data Science
Environment Setup for Data Science
Introduction to Python for Data Science
Python Basics for Data Science
Fundamentals of Python for Data Science
Data Types in Python
Loops and Functions in Python
Numerical Computing with NumPy
Data Manipulation using Pandas

Understanding Data: Types, Classification, and Properties
Mathematical Foundations for Data Science
Probability and Statistics for Data Analysis
Linear Algebra for Machine Learning
Gradient Descent and Optimization Algorithms
Calculus for Data Science

K-NN classification
Forecasting and prediction using regression
Linear Regression
Logistic Regression

Introduction: Importing and Cleaning Data
Data Cleaning Techniques: Cleaning and Preparing Datasets
Data Manipulation: Merging, Splitting, and Reshaping Datasets
Data Aggregation and Summarization: Descriptive Statistics and Data Visualization

Machine Learning Algorithm Implementation
Algorithmic Analysis and Evaluation
Deploying and Serving Machine Learning Models

Jupyter Notebook & IBM Watson Studio
RStudio & Tableau
PyCharm & Power BI
Spyder & Apache Spark
Hadoop & Git/Github

Beginner
Intermediate
Advanced

Data Science

Overview of Data Science
Importance of Data Science
Environment Setup for Data Science
Introduction to Python for Data Science
Python Basics for Data Science
Fundamentals of Python for Data Science
Data Types in Python
Loops and Functions in Python
Numerical Computing with NumPy
Data Manipulation using Pandas

Understanding Data: Types, Classification, and Properties
Mathematical Foundations for Data Science
Probability and Statistics for Data Analysis
Linear Algebra for Machine Learning
Gradient Descent and Optimization Algorithms
Calculus for Data Science

K-NN classification
Forecasting and prediction using regression
Linear Regression
Logistic Regression

Introduction: Importing and Cleaning Data
Data Cleaning Techniques: Cleaning and Preparing Datasets
Data Manipulation: Merging, Splitting, and Reshaping Datasets
Data Aggregation and Summarization: Descriptive Statistics and Data Visualization

Machine Learning Algorithm Implementation
Algorithmic Analysis and Evaluation
Deploying and Serving Machine Learning Models

Jupyter Notebook & IBM Watson Studio
RStudio & Tableau
PyCharm & Power BI
Spyder & Apache Spark
Hadoop & Git/Github

Beginner
Intermediate
Advanced

Android Development

Android Introduction
History of Android
Prerequisites for Learning Android
Introduction to Java Programming in Android

High-Level Overview of Android Architecture
Understanding the Application Framework in Android
Introduction to Libraries in Android

System Requirements
Installing and Setting up Android Studio
Overview of Android Studio and its Tools
Understanding the Android Build System

Getting started with Android app development
Building your first Android app
Creating a simple Android application
Introduction to Android app development
Developing your first Android project
Writing your first Android application

Understanding Android Application Components
Intents and Intent Filters
Activities and their Lifecycle
Services in Android
Broadcast Receivers in Android
Content Providers in Android
Creating App Widgets
Working with Processes and Threads in Android

Introduction to User Interface Components
Views and Layouts in Android
Understanding Input Controls
Handling Input Events in Android

Advanced User Interaction: Gestures, Drag and Drop
Fragments and Custom Views: Fragments, Creating Custom Components
Graphics and Accessibility: Canvas, Web View, Accessibility
UI Styling and Theming: Styles and Themes

Beginner
Intermediate
Advanced

Machine Learning

Introduction to Machine Learning
Types of Machine Learning Algorithms
Supervised Learning
Unsupervised Learning
Classification
Regression

Numbers: Integer, Float, Complex Numbers
Boolean
Strings: operations and methods
Lists: methods
Tuples
Sets
Dictionaries

Introduction to Data Preprocessing
Importing a Dataset in Python
Handling Missing Values
Handling Categorical Variables
Splitting Data into Training and Testing Sets
Feature Scaling and Normalization
Normalizing Variables using Python Code
Summary

Simple Linear Regression
Multiple Linear Regression
Decision Trees
Random Forest
Decision Trees and Random Forest – Python Implementation

Introduction to Classification
kNN Algorithm - Working and Theory
Implementing kNN in Python
Decision Tree Classifier - Working and Theory
Random Forest Classifier - Working and Theory in Python
Support Vector Machines (SVM) - Working and Theory
Implementing SVM in Python

Training the model on the training set
Evaluating the performance of the model on the testing set
Tuning the hyperparameters of the model to improve its performance
Using cross-validation to validate the model
Dealing with overfitting and underfitting
Deploying the model in a real-world setting.

Beginner
Intermediate
Advanced

Cyber Security

Introductory Classes
Importance of Cyber Security
Applications of Cyber Security
Malicious Codes and Terminologies
Cyber Security Breaches

Information Security (IS) Services: Overview and Categories
Types of Cyber Attacks and Their Impact
E-commerce Security: Risks and Measures
Introduction to Cyber Forensics: Role and Significance

Introduction to Linux: Basic Commands and Concepts
Local Area Networks (LAN): Definition and Components
Wide Area Networks (WAN): Overview and Types
Working of the World Wide Web (WWW): Protocols and Architecture
Introduction to the Internet: History and Infrastructure

What is Ethical Hacking? & Types of Hackers
Phases of Ethical Hacking & Footprinting and Reconnaissance
Scanning Networks & Enumeration
Vulnerability Analysis & System Hacking
Malware Threats & Sniffing
Social Engineering & Denial of Service (DoS) Attacks
Evading IDS, Firewalls, and Honeypots
Session Hijacking & Hacking Web Servers
Hacking Web Applications & SQL Injection
Hacking Wireless Networks & Hacking Mobile Platforms
IoT Hacking

Definition of security threats and vulnerabilities
Types of security threats (e.g. malware, phishing, ransomware, DDoS attacks)
Common vulnerabilities (e.g. weak passwords, unpatched software, social engineering)
Risks associated with security threats and vulnerabilities
Importance of identifying and mitigating security threats and vulnerabilities.

Cryptography and its importance
Symmetric key cryptography
Asymmetric key cryptography
Concurrency in cryptography
Protocol security in cryptography

Beginner
Intermediate
Advanced

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3. Live Lessons

4. Custom Project

5. Certification & Beyond

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What Will You Learn?

Explore Our Comprehensive Course Catalogue

Web Development

Data Science

Data Science

Android Development

Machine Learning

Cyber Security

A digital studio crafting learning experiences that inspire

Affordable Plans for Every Learner

AED 999

AED 2,499

AED 4,999

Stay Updated with Our Courses

Unlock your potential with Reloki's courses.

How It Works

1. Learn at Your Pace

← Swipe to explore the journey →

What Will You Learn?

Explore Our Comprehensive Course Catalogue

Web Development

Web Design Basics

Hypertext Markup Language (HTML)

Cascading Style Sheets [CSS]

Java Script Programming

Object Oriented Programming

Database Management

Node JS

MongoDB & Mongoose

Data Science

Introduction to Data Science with Python

Data Science & Analytics Fundamentals

Machine Learning Basics

Basics of Data Processing

Implementation of Machine Learning Algorithms in Python

Data Science Tools

Data Science

Introduction to Data Science with Python

Data Science & Analytics Fundamentals

Machine Learning Basics

Basics of Data Processing

Implementation of Machine Learning Algorithms in Python

Data Science Tools

Android Development

Introduction to Android Development

Exploring Android Architecture

Setting Up Android Development Environment

Building Your First Android App

Android Application Components Overview

User Interface Components in Android

Advanced User Interface (UI) Components in Android Development

Machine Learning

Introduction to Machine Learning

Python Data Types

Preprocessing Data in Python

Regression Analysis and Implementation

Classification Algorithms in Python

Machine Learning Implementation

Cyber Security

Introduction to Cyber Security

Information Security Concepts

Fundamentals of Operating Systems and Networks

Introduction to Ethical Hacking and Hacking Techniques

Security Threats and Vulnerabilities in Cybersecurity

Introduction to Cryptography - Key Types and Security Protocols

A digital studio crafting learning experiences that inspire

Affordable Plans for Every Learner

AED 999

AED 2,499

AED 4,999

Stay Updated with Our Courses

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