LISRC Dubai

Data Science Course Dubai

A practical, KHDA certified Data Science course in Dubai for learners who want to master Python, Machine Learning, SQL, visualization, MLOps, and AI projects.

• Python, statistics, SQL, Machine Learning, Deep Learning, and MLOps
• Dubai-based KHDA certified training
• Industry projects and career support

Quick facts

What you will learn — core modules

1. Python Programming
2. Machine Learning
3. Statistical Analysis
4. Deep Learning & AI
5. SQL & Data Engineering
6. Data Visualization
7. MLOps & Deployment
8. Version Control & Git
9. Feature Engineering
10. Cloud Computing
11. Generative AI & LLMs
12. Time Series Analysis

LISRC's Data Science Course in Dubai follows the Certified AI Engineering & Data Science Professional (CAIE) path — the flagship technical credential that takes you from Python and machine-learning foundations through deep learning, generative-AI systems, RAG, agents and production deployment.

The program is fully hands-on and code-first: real datasets, real models, and a deployed capstone project. Batches run in classroom at Jumeirah Lakes Towers (JLT), Dubai, and live online for working professionals.

Curriculum in detail

AI Engineering — Python to Production

The complete journey: Python → ML → Deep Learning → GenAI engineering → agents → deployment.

• Setup & Python Fundamentals: Set up your tools and learn the Python fundamentals every data scientist starts with.
• Functions, Data Structures + Git & GitHub: Write reusable Python and manage your work professionally with Git and GitHub.
• Data Handling with Pandas: Load, shape and explore real datasets using Pandas, the workhorse of data science.
• Data Cleaning, Text Processing & Embeddings: Clean messy data and turn text into numbers (embeddings) that machines can learn from.
• ML Basics & Problem Framing: Understand how machine learning works and how to frame a business problem as an ML task.
• Core ML Models I — Regression & Classification: Build your first predictive models for numbers and categories, and learn how to read the results.
• Core ML Models II — Trees, Ensembles, SVM & Unsupervised: Go deeper with decision trees, ensembles, SVMs and clustering for richer predictions and segmentation.
• Model Evaluation + ML Pipelines → GenAI: Measure model quality properly and build clean pipelines that bridge classic ML into generative AI.
• Neural Network Foundations + DL Frameworks: Understand how neural networks learn and get hands-on with modern deep-learning frameworks.
• CNNs — Computer Vision: Build models that see — image classification and computer vision with convolutional networks.
• RNNs, Sequence Models + Transformers & Attention: Work with sequence data and learn the transformer + attention architecture behind today's LLMs.
• FastAPI + LLM Fundamentals & Prompt Engineering: Serve models with FastAPI and start applying LLMs with solid prompt engineering.
• GenAI APIs + Structured Outputs, Tools & Auth: Call GenAI APIs the professional way — structured outputs, tool use and authentication.
• RAG Fundamentals + Vector DBs + LangChain: Connect LLMs to your own data with retrieval-augmented generation, vector databases and LangChain.
• Advanced RAG + LangChain Agents + MCP: Build smarter retrieval, autonomous LangChain agents, and connect them to real tools with MCP.
• Production, Deployment, LLMOps & Capstone: Deploy your work, monitor it with LLMOps best practices, and ship a portfolio capstone.

AWS SageMaker — Machine Learning

Train and deploy machine-learning models in the cloud.

• Introduction & AWS Account Setup: Get oriented in AWS and set up your cloud machine-learning environment.
• ML Workflow & SageMaker Training: Run the end-to-end ML workflow and train models at scale with Amazon SageMaker.
• Classification & Regression in Practice: Apply SageMaker to real classification and regression problems.

Your instructors

Mr. Jay — Lead Instructor — AI & Data Science Programs

Leads instructor-led batches across LISRC's AI, Data Science, Data Analytics and Machine Learning programs — classroom training at Jumeirah Lakes Towers, Dubai, and live online sessions.

Mr. Ameen — Lead Instructor — AI & Data Science Programs

Teaches LISRC's hands-on, project-based AI and data programs in Dubai, taking learners from foundations through deployed portfolio projects in classroom and online batches.

Accreditation: KHDA · UAE Government · CPD London · UK · British Chamber of Commerce

Frequently asked questions

How much does the data science course in Dubai cost?

Data science course fees at LISRC start from AED 2,999 + VAT, depending on the track, format, and current batch offer. Contact a course advisor for an exact quote and installment options.

Is the data science course KHDA approved?

Yes. LISRC operates under a KHDA training permit in Dubai (Center ID 152823, registered trade name Immersive Business Training DMCC), listed in the official KHDA education directory.

Do I need coding experience to join the data science course?

No prior coding experience is required. The course starts with Python programming fundamentals before progressing into statistics, SQL, and Machine Learning.

What tools and skills does the data science course cover?

The curriculum covers Python, statistical analysis, SQL and data engineering, Machine Learning, Deep Learning, data visualization, MLOps and deployment, Generative AI and LLMs, and time series analysis.

What jobs can the data science course prepare me for?

It supports preparation for data analyst, junior data scientist, machine learning practitioner, and AI-enabled business and analytics roles in the UAE market.

Is the data science course available in the evening or on weekends?

Yes. LISRC runs flexible batches for working professionals, with classroom sessions in Jumeirah Lakes Towers, Dubai, and online options.

https://lisrc.ae/data-science-course-dubai