Future Skills: AI and Data

A practical AI business program covering future-of-work skills, AI literacy, data literacy, digital problem solving, and analytical mindset, Python fundamentals, notebooks, variables, data structures, and practical coding habits, data analysis, visualization, exploratory analysis, and communicating insights, SQL, databases, tables, joins, filtering, aggregation, and data extraction, machine learning basics including regression, classification, clustering, and model evaluation, with case studies, templates, tool demonstrations, hands-on exercises, and applied outputs for workplace implementation.

Certificate Included

Expert-Led Training

Practical Learning

Enrollment Support

days

5 Days

Language

English / Arabic

Course Summary

Request Schedule & Quotation

No online payment is open for this course yet. Our team can send you the suitable quotation.

Runs monthly

Start Date

Flexible / Always Available

Certificate

Accredited Certificate

days

5 Days (Monthly)

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Course Details

Overview

The Future Skills: AI and Data course is a practical artificial intelligence and business applications program designed to build applied capability in future-of-work skills, AI literacy, data literacy, digital problem solving, and analytical mindset, Python fundamentals, notebooks, variables, data structures, and practical coding habits, data analysis, visualization, exploratory analysis, and communicating insights, SQL, databases, tables, joins, filtering, aggregation, and data extraction. It helps participants understand how AI can improve productivity, decision-making, customer value, operational efficiency, risk control, and innovation.

The program covers future-of-work skills, AI literacy, data literacy, digital problem solving, and analytical mindset, Python fundamentals, notebooks, variables, data structures, and practical coding habits, data analysis, visualization, exploratory analysis, and communicating insights, SQL, databases, tables, joins, filtering, aggregation, and data extraction, along with machine learning basics including regression, classification, clustering, and model evaluation, Power BI, dashboards, KPI reporting, and data storytelling, capstone project integrating AI, data, business context, and presentation skills. Participants work with realistic business cases, AI tools, templates, demonstrations, scenario analysis, and applied exercises that can be adapted to their organization.

The course is designed for approximately 5 training day(s), with emphasis on practical execution, responsible AI use, data-driven thinking, governance awareness, and measurable workplace outputs.

Objectives

Program Objectives

By the end of this course, participants will be able to:

Understand future-of-work skills, AI literacy, data literacy, digital problem solving, and analytical mindset in realistic business scenarios related to Future Skills: AI and Data.
Apply Python fundamentals, notebooks, variables, data structures, and practical coding habits in realistic business scenarios related to Future Skills: AI and Data.
Analyze data analysis, visualization, exploratory analysis, and communicating insights in realistic business scenarios related to Future Skills: AI and Data.
Evaluate SQL, databases, tables, joins, filtering, aggregation, and data extraction in realistic business scenarios related to Future Skills: AI and Data.
Develop machine learning basics including regression, classification, clustering, and model evaluation in realistic business scenarios related to Future Skills: AI and Data.
Produce a practical work output such as an AI use-case brief, prompt library, analytical model, dashboard, governance checklist, implementation roadmap, or business-ready AI workflow according to the course topic.

Target Audience

This training program is designed for the following target audiences:

Business leaders, managers, supervisors, specialists, analysts, consultants, and professionals who need to understand or apply AI in their work.
Analysts, reporting staff, data practitioners, graduates, and professionals who want practical data, Python, SQL, dashboard, and analytical skills.
Organizations seeking practical, responsible, and measurable AI adoption across business functions.

Competencies

Core Competencies

Apply Future-of-work skills, AI literacy, data literacy, digital problem solving, and analytical mindset

Ability to apply future-of-work skills, AI literacy, data literacy, digital problem solving, and analytical mindset within Future Skills: AI and Data, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply Python fundamentals, notebooks, variables, data structures, and practical coding habits

Ability to apply Python fundamentals, notebooks, variables, data structures, and practical coding habits within Future Skills: AI and Data, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply Data analysis, visualization, exploratory analysis, and communicating insights

Ability to apply data analysis, visualization, exploratory analysis, and communicating insights within Future Skills: AI and Data, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply SQL, databases, tables, joins, filtering, aggregation, and data extraction

Ability to apply SQL, databases, tables, joins, filtering, aggregation, and data extraction within Future Skills: AI and Data, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply Machine learning basics including regression, classification, clustering, and model evaluation

Ability to apply machine learning basics including regression, classification, clustering, and model evaluation within Future Skills: AI and Data, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply Power BI, dashboards, KPI reporting, and data storytelling

Ability to apply Power BI, dashboards, KPI reporting, and data storytelling within Future Skills: AI and Data, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Learning Journey

Program Outline

Day 1: Future-Of-Work Skills, Ai Literacy, Data Literacy, Digital Problem Solving, And Analytical Mindset

Future-Of-Work Skills, Ai Literacy, Data Literacy, Digital Problem Solving, And Analytical Mindset

This session develops practical competence in future-of-work skills, AI literacy, data literacy, digital problem solving, and analytical mindset as part of Future Skills: AI and Data. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.

Python Fundamentals, Notebooks, Variables, Data Structures, And Practical Coding Habits

This session develops practical competence in Python fundamentals, notebooks, variables, data structures, and practical coding habits as part of Future Skills: AI and Data. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.

Data Analysis, Visualization, Exploratory Analysis, And Communicating Insights

This session develops practical competence in data analysis, visualization, exploratory analysis, and communicating insights as part of Future Skills: AI and Data. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.

Sql, Databases, Tables, Joins, Filtering, Aggregation, And Data Extraction

This session develops practical competence in SQL, databases, tables, joins, filtering, aggregation, and data extraction as part of Future Skills: AI and Data. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.

Machine Learning Basics Including Regression, Classification, Clustering, And Model Evaluation

This session develops practical competence in machine learning basics including regression, classification, clustering, and model evaluation as part of Future Skills: AI and Data. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.

Day 2: Python Fundamentals, Notebooks, Variables, Data Structures, And Practical Coding Habits

Python Fundamentals, Notebooks, Variables, Data Structures, And Practical Coding Habits

Data Analysis, Visualization, Exploratory Analysis, And Communicating Insights

Sql, Databases, Tables, Joins, Filtering, Aggregation, And Data Extraction

Machine Learning Basics Including Regression, Classification, Clustering, And Model Evaluation

Power Bi, Dashboards, Kpi Reporting, And Data Storytelling

This session develops practical competence in Power BI, dashboards, KPI reporting, and data storytelling as part of Future Skills: AI and Data. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.

Day 3: Data Analysis, Visualization, Exploratory Analysis, And Communicating Insights

Data Analysis, Visualization, Exploratory Analysis, And Communicating Insights

Sql, Databases, Tables, Joins, Filtering, Aggregation, And Data Extraction

Machine Learning Basics Including Regression, Classification, Clustering, And Model Evaluation

Power Bi, Dashboards, Kpi Reporting, And Data Storytelling

Capstone Project Integrating Ai, Data, Business Context, And Presentation Skills

This session develops practical competence in capstone project integrating AI, data, business context, and presentation skills as part of Future Skills: AI and Data. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.

Future-Of-Work Skills, Ai Literacy, Data Literacy, Digital Problem Solving, And Analytical Mindset

Day 4: Sql, Databases, Tables, Joins, Filtering, Aggregation, And Data Extraction

Sql, Databases, Tables, Joins, Filtering, Aggregation, And Data Extraction

Machine Learning Basics Including Regression, Classification, Clustering, And Model Evaluation

Power Bi, Dashboards, Kpi Reporting, And Data Storytelling

Capstone Project Integrating Ai, Data, Business Context, And Presentation Skills

Future-Of-Work Skills, Ai Literacy, Data Literacy, Digital Problem Solving, And Analytical Mindset

Day 5: Machine Learning Basics Including Regression, Classification, Clustering, And Model Evaluation

Machine Learning Basics Including Regression, Classification, Clustering, And Model Evaluation

Power Bi, Dashboards, Kpi Reporting, And Data Storytelling

Capstone Project Integrating Ai, Data, Business Context, And Presentation Skills

Future-Of-Work Skills, Ai Literacy, Data Literacy, Digital Problem Solving, And Analytical Mindset

Python Fundamentals, Notebooks, Variables, Data Structures, And Practical Coding Habits

Enrollment Summary

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Request Schedule & Quotation

No online payment is open for this course yet. Our team can send you the suitable quotation.

Runs monthly

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Future Skills: AI and Data

Certificate Included

Expert-Led Training

Practical Learning

Enrollment Support

days

5 Days

Language

English / Arabic

Overview

The course is designed for approximately 5 training day(s), with emphasis on practical execution, responsible AI use, data-driven thinking, governance awareness, and measurable workplace outputs.

Program Objectives

By the end of this course, participants will be able to:

Understand future-of-work skills, AI literacy, data literacy, digital problem solving, and analytical mindset in realistic business scenarios related to Future Skills: AI and Data.
Apply Python fundamentals, notebooks, variables, data structures, and practical coding habits in realistic business scenarios related to Future Skills: AI and Data.
Analyze data analysis, visualization, exploratory analysis, and communicating insights in realistic business scenarios related to Future Skills: AI and Data.
Evaluate SQL, databases, tables, joins, filtering, aggregation, and data extraction in realistic business scenarios related to Future Skills: AI and Data.
Develop machine learning basics including regression, classification, clustering, and model evaluation in realistic business scenarios related to Future Skills: AI and Data.
Produce a practical work output such as an AI use-case brief, prompt library, analytical model, dashboard, governance checklist, implementation roadmap, or business-ready AI workflow according to the course topic.

Target Audience

This training program is designed for the following target audiences:

Business leaders, managers, supervisors, specialists, analysts, consultants, and professionals who need to understand or apply AI in their work.
Analysts, reporting staff, data practitioners, graduates, and professionals who want practical data, Python, SQL, dashboard, and analytical skills.
Organizations seeking practical, responsible, and measurable AI adoption across business functions.

Core Competencies

Apply Future-of-work skills, AI literacy, data literacy, digital problem solving, and analytical mindset

Apply Python fundamentals, notebooks, variables, data structures, and practical coding habits

Apply Data analysis, visualization, exploratory analysis, and communicating insights

Apply SQL, databases, tables, joins, filtering, aggregation, and data extraction

Apply Machine learning basics including regression, classification, clustering, and model evaluation

Apply Power BI, dashboards, KPI reporting, and data storytelling

Program Outline

Day 1: Future-Of-Work Skills, Ai Literacy, Data Literacy, Digital Problem Solving, And Analytical Mindset

Future-Of-Work Skills, Ai Literacy, Data Literacy, Digital Problem Solving, And Analytical Mindset

Python Fundamentals, Notebooks, Variables, Data Structures, And Practical Coding Habits

Data Analysis, Visualization, Exploratory Analysis, And Communicating Insights

Sql, Databases, Tables, Joins, Filtering, Aggregation, And Data Extraction

Machine Learning Basics Including Regression, Classification, Clustering, And Model Evaluation

Day 2: Python Fundamentals, Notebooks, Variables, Data Structures, And Practical Coding Habits

Python Fundamentals, Notebooks, Variables, Data Structures, And Practical Coding Habits

Data Analysis, Visualization, Exploratory Analysis, And Communicating Insights

Sql, Databases, Tables, Joins, Filtering, Aggregation, And Data Extraction

Machine Learning Basics Including Regression, Classification, Clustering, And Model Evaluation

Power Bi, Dashboards, Kpi Reporting, And Data Storytelling

Day 3: Data Analysis, Visualization, Exploratory Analysis, And Communicating Insights

Data Analysis, Visualization, Exploratory Analysis, And Communicating Insights

Sql, Databases, Tables, Joins, Filtering, Aggregation, And Data Extraction

Machine Learning Basics Including Regression, Classification, Clustering, And Model Evaluation

Power Bi, Dashboards, Kpi Reporting, And Data Storytelling

Capstone Project Integrating Ai, Data, Business Context, And Presentation Skills

Future-Of-Work Skills, Ai Literacy, Data Literacy, Digital Problem Solving, And Analytical Mindset

Day 4: Sql, Databases, Tables, Joins, Filtering, Aggregation, And Data Extraction

Sql, Databases, Tables, Joins, Filtering, Aggregation, And Data Extraction

Machine Learning Basics Including Regression, Classification, Clustering, And Model Evaluation

Power Bi, Dashboards, Kpi Reporting, And Data Storytelling

Capstone Project Integrating Ai, Data, Business Context, And Presentation Skills

Future-Of-Work Skills, Ai Literacy, Data Literacy, Digital Problem Solving, And Analytical Mindset

Day 5: Machine Learning Basics Including Regression, Classification, Clustering, And Model Evaluation

Machine Learning Basics Including Regression, Classification, Clustering, And Model Evaluation

Power Bi, Dashboards, Kpi Reporting, And Data Storytelling

Capstone Project Integrating Ai, Data, Business Context, And Presentation Skills

Future-Of-Work Skills, Ai Literacy, Data Literacy, Digital Problem Solving, And Analytical Mindset

Python Fundamentals, Notebooks, Variables, Data Structures, And Practical Coding Habits

Future Skills: AI and Data

Request Schedule & Quotation

Overview

Program Objectives

Target Audience

Core Competencies

Apply Future-of-work skills, AI literacy, data literacy, digital problem solving, and analytical mindset

Apply Python fundamentals, notebooks, variables, data structures, and practical coding habits

Apply Data analysis, visualization, exploratory analysis, and communicating insights

Apply SQL, databases, tables, joins, filtering, aggregation, and data extraction

Apply Machine learning basics including regression, classification, clustering, and model evaluation

Apply Power BI, dashboards, KPI reporting, and data storytelling

Program Outline

Day 1: Future-Of-Work Skills, Ai Literacy, Data Literacy, Digital Problem Solving, And Analytical Mindset

Day 2: Python Fundamentals, Notebooks, Variables, Data Structures, And Practical Coding Habits

Day 3: Data Analysis, Visualization, Exploratory Analysis, And Communicating Insights

Day 4: Sql, Databases, Tables, Joins, Filtering, Aggregation, And Data Extraction

Day 5: Machine Learning Basics Including Regression, Classification, Clustering, And Model Evaluation

More courses open for booking

Explore Our Monthly Training Schedules

Future Skills: AI and Data

Request Schedule & Quotation

Overview

Program Objectives

Target Audience

Core Competencies

Apply Future-of-work skills, AI literacy, data literacy, digital problem solving, and analytical mindset

Apply Python fundamentals, notebooks, variables, data structures, and practical coding habits

Apply Data analysis, visualization, exploratory analysis, and communicating insights

Apply SQL, databases, tables, joins, filtering, aggregation, and data extraction

Apply Machine learning basics including regression, classification, clustering, and model evaluation

Apply Power BI, dashboards, KPI reporting, and data storytelling

Program Outline

Day 1: Future-Of-Work Skills, Ai Literacy, Data Literacy, Digital Problem Solving, And Analytical Mindset

Day 2: Python Fundamentals, Notebooks, Variables, Data Structures, And Practical Coding Habits

Day 3: Data Analysis, Visualization, Exploratory Analysis, And Communicating Insights

Day 4: Sql, Databases, Tables, Joins, Filtering, Aggregation, And Data Extraction

Day 5: Machine Learning Basics Including Regression, Classification, Clustering, And Model Evaluation

More courses open for booking

Explore Our Monthly Training Schedules