AI+ Data™
- Assess your skills before enrolling
Mastering AI, Maximizing Data: Your Path to Innovation.
- Core Concepts Covered: Data Science foundations, Python, Statistics, and Data Wrangling
- Advanced Topics: Dive into Generative AI, Machine Learning, and Predictive Analytics
- Capstone Application: Solve real-world problems like employee attrition with AI
- Career Readiness: Develop skills for AI-driven data science roles with hands-on mentorship
- Demand for Certified Experts: Organizations seek certified experts who can transform complex data into actionable insights while ensuring data integrity and privacy.
- Mitigating Data and AI Risks: Poor handling of data and AI technologies can lead to inaccurate analysis and business risks. This certification helps professionals mitigate such challenges.
- Designing AI-Driven Data Strategies: Certified professionals play a crucial role in designing AI-driven data strategies that optimize performance and align with regulatory standards.
- Career Advancement: As AI-powered data solutions become essential for businesses, this certification provides professionals with a competitive edge in advancing their careers.
Course Curriculum
Module 1: Foundations of Data Science
Module 2: Foundations of Statistics
Module 3: Data Sources and Types
Module 4: Programming Skills for Data Science
Module 5: Data Wrangling and Preprocessing
Module 6: Exploratory Data Analysis (EDA)
Module 7: Generative AI Tools for Deriving Insights
Module 8: Machine Learning
Module 9: Advance Machine Learning
Module 10: Data-Driven Decision-Making
Module 11: Data Storytelling
Module 12: Capstone Project – Employee Attrition Prediction
Optional Module: AI Agents for Data Analysis
Job Roles & Industry Outlook
Al Machine Learning Engineer
Designs and develops machine learning systems, implements algorithms, optimizes data pipelines, and integrates models into scalable, production-ready applications.
Al Engineer
Develops artificial intelligence solutions, programs neural networks, optimizes Al algorithms, ensures ethical Al deployment, and troubleshoots Al systems.
Al Data Analyst
Interprets data, generates reports, identifies trends, supports business decisions with actionable insights, and utilizes visualization tools to present data.
Al Data Scientist
Analyzes complex data to extract insights, builds predictive models, employs statistical methods, and communicates findings to influence decision-making.
Exam Information
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)
Fees include
One year of access to course content, including continuous updates.
Certification exam.
One exam re-take.
Exam Blueprint:
Foundations of Data Science – 5%
Foundations of Statistics – 5%
Data Sources and Types – 6%
Programming Skills for Data Science – 10%
Data Wrangling and Preprocessing – 10%
Exploratory Data Analysis – 12%
Generative AI Tools for Deriving Insights – 6%
Machine Learning – 10%
Advance Machine Learning – 10%
Data-Driven Decision-Making – 10%
Data Storytelling – 6%
Capstone Project - Employee Attrition Prediction – 10%
Explore our Schedules
Sep 6 - Sep 10
GMT 09:00 AM - 05:00 PM
In-person
Riyadh
Jun 21 - Jun 25
GMT 09:00 AM - 05:00 PM
In-person
Dubai
Nov 8 - Nov 12
GMT 09:00 AM - 05:00 PM
In-person
Abu Dhabi
Sep 6 - Sep 10
GMT 09:00 AM - 05:00 PM
In-person
Kuwait
Jun 7 - ـJun 18
GMT 06:00 PM- 10:00 PM
LVT
Zoom
Aug 23 - Sep 3
GMT 06:00 PM - 10:00 PM
LVT
Zoom
Nov 1 - Nov 12
GMT 06:00 PM - 10:00 PM
LVT
Zoom
Certificate of Completion
AI+ Data.
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