# Machine Learning

> Edoxi’s 60-hour Machine Learning Course in Dubai equips you with the skills to build and deploy intelligent systems using Python. Enrol now to get started!

## Course Details
- Rating: 4.9/5 (56 reviews)
- Location: Dubai, UAE
- Category: Software & Technology
- Sub-Category: Data & AI Technologies

## Course Introduction
Edoxi’s 60-hour Machine Learning Course in Dubai equips you with the skills to build and deploy intelligent systems using Python. The course covers foundational Python programming and core machine learning concepts such as regression, classification, clustering, and deep learning. You will learn to use industry-standard tools like Scikit-learn, TensorFlow, Keras, NumPy, and Pandas. The training includes hands-on projects like predictive modelling and customer segmentation. Engage in live coding sessions, debugging exercises, and group activities. Complete the course and gain a KHDA-approved Machine Learning Certification.  Enrol and grow your AI and machine learning career in Dubai’s booming IT sector.

## Course Overview
- Delivery Modes: Online, Classroom
- Course Duration: 60 Hours
- Corporate Days: 5 Days
- Learners Enrolled: 20+
- Modules: 18

## What You’ll Learn from the Machine Learning Training in Dubai?

**Build a Solid Python Foundation for Machine Learning**
You will master fundamental Python skills, including syntax, data structures, and key libraries, tailored to support your progression in machine learning.

**Learn Core Machine Learning Concepts**
You will develop a complete understanding of algorithms like regression, classification, and clustering, essential for supervised and unsupervised learning.

**Become Proficient in Data Processing Techniques**
You will gain skills in data cleaning, transformation, and manipulation using powerful Python libraries like Pandas and NumPy.

**Learn Model Development with Scikit-learn**
You will learn to build, train, and optimise machine learning models using Scikit-learn, tailored for practical and industry-relevant applications.

**Master Advanced Data Visualisation Skills**
You will create compelling and meaningful visualisations with Matplotlib and Seaborn to communicate analytical insights.

**Develop Expertise in Performance Evaluation**
You will master the ability to validate, measure, and fine-tune machine learning model performance to ensure precision in real-world use cases.

## About This Course
## About Our Machine Learning Course in Dubai

The Machine Learning course equips you with the knowledge and skills to use the Python programming language to build and train machine learning models. Edoxi Training Institute offers a 60-hour comprehensive Machine Learning course in Dubai. The course is specifically designed for beginners and professionals seeking to excel in Artificial Intelligence (AI) and predictive analytics. Our Machine Learning training program integrates robust theoretical knowledge with hands-on training. This enables you to develop practical machine learning solutions for real-world business challenges.

We provide a comprehensive Machine Learning Course that includes fundamental Python programming, machine learning algorithms, and Natural Language Processing (NLP). The curriculum also covers deep learning techniques using advanced tools and libraries such as Scikit-learn, TensorFlow, and Keras. You will gain practical experience with Jupyter Notebook, NumPy, and Pandas.

Edoxi’s Machine Learning Training in Dubai includes real-world projects, including predictive modelling and customer segmentation. This practical training approach delivers valuable industry experience applicable to IT, banking, healthcare, and e-commerce. You will also get a chance to engage in interactive sessions featuring code walkthroughs, live debugging, and collaborative problem-solving. These exercises will help you develop expertise in data preprocessing, model refinement, and advanced machine learning methodologies. 

The Machine Learning Course is offered classroom and online, giving you the flexibility to choose a time that suits you the best. For organisations, we offer a 5-day intensive program tailored to your company’s needs. Upon completion of our expert-led sessions, you will receive a Machine Learning certification to assist you in developing impressive project portfolios. This will enhance your employability in Dubai’s rapidly growing AI sector. Join our Python Machine Learning course and prepare to launch or advance your AI and machine learning career.

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## Features of the Machine Learning Course in Dubai

**Comprehensive AI Curriculum**
You will master Python, Machine Learning, NLP, and Deep Learning techniques to solve complex problems with practical, hands-on applications.

**Cutting-Edge Development Environment**
You will practice coding in Jupyter Notebook and Spyder. Write, debug, and test machine learning solutions with expert guidance.

**Proficiency in Data Science Libraries**
You will gain expertise in NumPy, Pandas, Matplotlib, and Seaborn for data manipulation, numerical analysis, and advanced visualisation.

**Real-World Project Experience**
You will work on industry-relevant projects like price prediction and customer segmentation to build a strong professional portfolio.

**Engaging Learning Experience**
You will participate in live coding, peer discussions, and group projects, applying TensorFlow and Scikit-learn to practical scenarios.

**Personalised Training with Flexible Schedules**
Our course training aligns with your career goals. You can choose from weekend, evening, or hybrid schedules accordingly.

**Industry-Recognised Certification**
Earn a validated certification and learn from experienced AI professionals to boost career prospects in the AI industry.

**Industry-experienced Trainers**
Learn from certified professionals and AI practitioners who bring real-world insights, mentorship, and up-to-date knowledge into the classroom.

## Who Can Join Our Machine Learning Training in Dubai?

**Python and Machine Learning Beginners**
Individuals with no programming experience, eager to start careers in Python programming and machine learning.

**Students and Fresh Graduates**
Aspiring professionals with basic programming skills to enter AI and machine learning roles.

**IT Experts and System Administrators**
Tech professionals transitioning to machine learning, leveraging their technical foundation to master algorithms and analytics.

**Software Engineers and Developers**
Programmers specialising in machine learning, enabling seamless integration of algorithms using Python.

**E-commerce and Financial Analysts**
Professionals handling large datasets to utilise machine learning for predictive analytics and customer insights.

**Cybersecurity Specialists and Ethical Hackers**
Professionals applying machine learning to improve threat detection and vulnerability analysis.

## Python Machine Learning Course Modules

### Module 1: Introduction to Python

**Chapter 1.1: Overview of Python and Its Features**
- Lesson 1.1.1: Introduction to Python programming
- Lesson 1.1.2: Features and benefits of Python
- Lesson 1.1.3: Setting up the Python development environment

**Chapter 1.2: Python Basics**
- Lesson 1.2.1: Python syntax and basic structure
- Lesson 1.2.2: Writing and running Python programs

### Module 2: Variables, Data Types, and Operators

**Chapter 2.1: Working with Variables and Data Types**
- Lesson 2.1.1: Understanding numbers, strings, and booleans
- Lesson 2.1.2: Type conversion and casting

**Chapter 2.2: Python Operators**
- Lesson 2.2.1: Arithmetic and assignment operators
- Lesson 2.2.2: Logical and comparison operators

### Module 3: Control Flow and Loops

**Chapter 3.1: Conditional Statements**
- Lesson 3.1.1: If, else, and elif statements
- Lesson 3.1.2: Nested conditions

**Chapter 3.2: Looping Structures**
- Lesson 3.2.1: For and while loops
- Lesson 3.2.2: Breaking and continuing loop execution

**Chapter 3.3: Iterating with Lists**
- Lesson 3.3.1: Iterating over lists and collections

### Module 4: Functions and Modules

**Chapter 4.1: Functions in Python**
- Lesson 4.1.1: Creating and invoking functions
- Lesson 4.1.2: Function parameters and return values
- Lesson 4.1.3: Variable scope and global keyword

**Chapter 4.2: Python Modules**
- Lesson 4.2.1: Importing and using modules
- Lesson 4.2.2: Creating custom modules

### Module 5: Strings and File Handling

**Chapter 5.1: Manipulating Strings**
- Lesson 5.1.1: Concatenation, slicing, and formatting strings

**Chapter 5.2: File Operations**
- Lesson 5.2.1: Reading from and writing to files
- Lesson 5.2.2: Opening, closing, and deleting files
- Lesson 5.2.3: File permissions and error handling

### Module 6: Data Structures

**Chapter 6.1: Core Data Structures in Python**
- Lesson 6.1.1: Working with lists, tuples, and dictionaries
- Lesson 6.1.2: Accessing and modifying elements

**Chapter 6.2: Advanced Data Structures**
- Lesson 6.2.1: Working with sets and frozensets

### Module 7: Object-Oriented Programming (OOP) in Python

**Chapter 7.1: Introduction to OOP**
- Lesson 7.1.1: Understanding classes, objects, and methods

**Chapter 7.2: Advanced OOP Concepts**
- Lesson 7.2.1: Encapsulation, inheritance, and polymorphism
- Lesson 7.2.2: Working with objects and class relationships

### Module 8: File Input/Output (I/O) and Serialisation

**Chapter 8.1: File I/O Basics**
- Lesson 8.1.1: Reading and writing data to/from files

**Chapter 8.2: Data Serialisation**
- Lesson 8.2.1: Serialisation and deserialization of objects (pickle, JSON, CSV)

### Module 9: Regular Expressions

**Chapter 9.1: Introduction to Regular Expressions**
- Lesson 9.1.1: Basics of pattern matching
- Lesson 9.1.2: Using regex for validating and manipulating text

### Module 10: Introduction to Python Libraries and Frameworks

**Chapter 10.1: Popular Python Libraries**
- Lesson 10.1.1: Overview of libraries like NumPy, Pandas, and others

**Chapter 10.2: Data Analysis and Web Development**
- Lesson 10.2.1: Introduction to data analysis and scientific computing
- Lesson 10.2.2: Web development with Python

### Module 11: Working with Data

**Chapter 11.1: Data Analysis with Pandas**
- Lesson 11.1.1: Understanding dataframes
- Lesson 11.1.2: Creation, manipulation, and analysis of data

**Chapter 11.2: Data Visualisation**
- Lesson 11.2.1: Introduction to visualisation with matplotlib

### Module 12: Introduction to Artificial Intelligence

**Chapter 12.1: Fundamentals of AI**
- Lesson 12.1.1: Definition and history of AI
- Lesson 12.1.2: Types of AI: Narrow AI vs General AI
- Lesson 12.1.3: Applications of AI in various industries

### Module 13: Introduction to Machine Learning

**Chapter 13.1: Basics of Machine Learning**
- Lesson 13.1.1: Supervised and unsupervised learning
- Lesson 13.1.2: Data preparation and preprocessing

**Chapter 13.2: Data Cleaning**
- Lesson 13.2.1: Techniques for cleaning and handling missing data
- Lesson 13.2.2: Normalisation and standardisation

### Module 14: Supervised Learning - Regression

**Chapter 14.1: Regression Techniques**
- Lesson 14.1.1: Simple and multiple linear regression
- Lesson 14.1.2: Polynomial and decision tree regression
- Lesson 14.1.3: Random forest regression

**Chapter 14.2: Model Evaluation**
- Lesson 14.2.1: Regression model selection and evaluation

### Module 15: Supervised Learning - Classification

**Chapter 15.1: Classification Algorithms**
- Lesson 15.1.1: Logistic regression
- Lesson 15.1.2: K-nearest neighbour (k-NN)

**Chapter 15.2: Model Selection and Evaluation**
- Lesson 15.2.1: Classification model evaluation techniques

### Module 16: Unsupervised Learning - Clustering

**Chapter 16.1: Clustering Basics**
- Lesson 16.1.1: Introduction to clustering
- Lesson 16.1.2: k-means and hierarchical clustering

### Module 17: Natural Language Processing (NLP)

**Chapter 17.1: Introduction to NLP**
- Lesson 17.1.1: Types of NLP and classical vs deep learning models
- Lesson 17.1.2: NLP in Python

### Module 18: Deep Learning

**Chapter 18.1: Neural Networks**
- Lesson 18.1.1: Artificial and Convolutional Neural Networks

## Hands-On Lab Activities

**House Price Forecasting Project**
You will build a linear regression model to predict housing prices based on features like size, location, and amenities, mastering supervised learning techniques.

**Customer Behaviour Segmentation**
You will utilise K-Means clustering to categorise customer data by purchasing patterns, gaining practical experience in unsupervised learning algorithms.

**Titanic Dataset Survival Analysis**
You will develop a logistic regression model to predict survival probabilities, applying classification techniques to real-world datasets.

**Interactive Debugging Sessions**
You will participate in live coding walkthroughs, focusing on code optimisation and troubleshooting to improve problem-solving efficiency.

**Collaborative Machine Learning Projects**
You will engage in peer reviews and group tasks to design, implement, and refine machine learning models collaboratively.

**Advanced Data Visualisation**
You get to create impactful visualisations using Matplotlib and Seaborn to present machine learning results clearly and insightfully.

**Implement Advanced Regression Techniques**
You will build and optimise regression models to predict outcomes effectively, applying these techniques to solve data-driven challenges using real-world datasets.

**Excel in Classification Algorithms**
You get to design and deploy classification models to categorise data accurately, addressing real-world problems across diverse sectors.

## Machine Learning Course Outcome and Career Opportunities in Dubai
Python is one of the most popular programming languages in AI/ML development, provides powerful libraries like Scikit-learn, TensorFlow, and Pandas, which will be covered throughout the course. Machine Learning Training in Dubai is designed to equip learners with the essential skills and practical knowledge needed to build intelligent systems using Python. After completing the Machine Learning Training, you will be able to:

- Understand core machine learning concepts including regression, classification, clustering, and dimensionality reduction.
- Gain hands-on experience in solving real-world problems by developing models and deploying them efficiently.
- Use Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow to build and evaluate ML models.
- Perform data preprocessing, feature selection, and data visualisation.
- Develop and fine-tune machine learning models using best practices.
- Apply machine learning algorithms to solve practical problems and business cases.

## Machine Learning Training Options

**Classroom Training**
- 60-hour Machine Learning Course in Dubai
- Hands-on practice with Python tools and machine learning libraries.
- Direct instructor access for immediate doubt resolution.
- Collaborative peer reviews to enhance coding quality.

**Live Online Training**
- 60-hour online Machine Learning Course in Dubai
- Flexible scheduling is available from Monday to Sunday.
- Real-time instructor interaction in a virtual learning environment.
- Digital course materials and AI tool tutorials provided.

**Corporate Training**
- 5-day intensive program tailored to organisational needs.
- Delivered in classroom or online formats as per preference.
- Real-world projects aligned with business objectives.
- Fly Me A Trainer option for tailored on-site training anywhere in the world
- Full logistics handled, including venue options (hotel, client premises, or our premises)
- Food and refreshments provided for corporate teams

## How to Get Machine Learning With Python Certified?
Here’s a four-step guide to becoming a certified Python professional.

1. Enrol in Edoxi’s Machine Learning Course in Dubai
2. Attend the Machine Learning Training led by experts
3. Complete the Machine Learning Course Training
4. Get a KHDA-Approved Machine Learning Certification.

## Frequently Asked Questions

**Q: What are the prerequisites needed to join our Python Machine Learning course in Dubai?**
A: To enroll in Edoxi's Python Machine Learning course, prior knowledge of Python programming is required. Although a background in calculus, probability, and statistics is not mandatory, it is beneficial for grasping machine learning concepts.

Participants who lack Python knowledge will receive additional classes that cover the basics, including Python syntax and libraries. These sessions aim to build a strong foundation, enabling students to effectively learn and apply machine learning techniques.

 

**Q: What are the job Roles and Salaries of Machine Learning with Python Professionals in Dubai?**
A: The following table showcases the job roles and average salary after the Python Machine Learning Course in Dubai.

 

Career Stage
Roles
Average Monthly Salary (AED)

Entry-Level
Machine Learning Intern, Junior Data Scientist, Data Analyst, AI/ML Associate, Junior Machine Learning Engineer, Business Intelligence Analyst
10,000 – 15,000

Mid-Level
Machine Learning Engineer, Data Scientist, Artificial Intelligence Specialist, Predictive Modeller, Data Engineer, NLP Engineer
15,000 – 25,000

Senior-Level
Senior Machine Learning Engineer, Lead Data Scientist, AI/ML Architect, Principal Data Scientist, AI Research Scientist, Director of AI/ML Operations
25,000 – 50,000

**Q: How do I differentiate between Machine Learning, Deep Learning, and AI, and when should I use each?**
A: Machine Learning (ML) trains models using data and is a subset of AI. Deep Learning (DL), a further subset, uses neural networks for complex patterns. Use AI for broad automation, ML for predictive tasks, and DL for applications like image recognition.

**Q: What are the key differences between TensorFlow and PyTorch, and how do I decide which to use?**
A: TensorFlow is ideal for production projects due to its scalability, while PyTorch is better suited for research and experimentation thanks to its user-friendly interface.

**Q: How do I handle imbalanced datasets in machine learning, especially for tasks like fraud detection?**
A: Techniques such as oversampling (SMOTE), undersampling, or adjusting model weights can effectively balance datasets for better performance.

## Job Roles After Machine Learning Course in Dubai
Machine Learning Intern, Data Scientist, Data Analyst, AI/ML Associate, Machine Learning Engineer, Business Intelligence Analyst, Artificial Intelligence Specialist, Predictive Modeller, Data Engineer

## Top Companies Hiring Machine Learning Professionals in Dubai
Core42, New York University Abu Dhabi, G42, ABB, Help AG, Accenture, VINCI Energies, Etihad Airways, Orbis, ValueMentor

## Why Choose Edoxi for Machine Learning Course in Dubai?
Here are a few reasons why you should choose Edoxi for a Machine Learning course in Dubai;


**KHDA-Licensed Training Institute**
We are a KHDA-Licensed training centre delivering a structured curriculum blending theoretical knowledge with practical, industry-relevant applications.

**Beginner-Friendly Python Training**
Foundational Python lessons covering syntax and libraries prepare learners for advanced machine learning concepts.

**State-of-the-Art Development Tools**
Master Jupyter Notebook, Spyder IDE, Scikit-learn, TensorFlow, Keras, NumPy, Pandas, Matplotlib, and Seaborn.

**Customised and Interactive Learning**
You get to participate in coding sessions, debugging exercises, and tailored guidance to develop practical machine learning expertise.

**Real-World Project-Based Learning**
You will work on projects like price prediction and customer segmentation, building a professional portfolio with real-world datasets.

**Flexible Scheduling with Additional Support**
You will choose schedules suited for working professionals and access extra assistance in Python programming and mathematics.

## Trainer
- Name: Jothi Kumar
- Designation: Software and IT Trainer
Jothi is a Microsoft-certified technology specialist with more than 12 years of experience in software development for a broad range of industry applications. She has incomparable prowess in a vast grouping of software development tools like Microsoft Visual Basic, C#, .NET, SQL, XML, HTML, Core Java and Python.

Jothi has a keen eye for UNIX/LINUX-based technologies which form the backbone of all the free and open-source software movement. As a Big data expert, Jothi has experience using several components of the Hadoop ecosystem, including Hadoop Map Reduce, HDFS, HIVE, PIG, and HBase. She is well-versed in the latest technologies of information technology such as Data Analytics, Data Science and Machine Learning.

## Enrol in This Course
- Course URL: https://www.edoxi.com/dubai/machine-learning-course
- Phone: +971 43801666
- Email: info@edoxi.com