Generative Artificial Intelligence

A practical AI business program covering generative AI concepts, large language models, transformers, self-attention, and multimodal models, text generation, summarization, translation, coding assistance, and business productivity use cases, image generation, video, audio, design applications, and creative business workflows, prompt engineering, few-shot prompting, chain-of-thought prompting, role prompting, and prompt templates, fine-tuning, retrieval-augmented generation, knowledge bases, embeddings, and enterprise assistants, with case studies, templates, tool demonstrations, hands-on exercises, and applied outputs for workplace implementa

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Practical Learning

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days

3 Days

Language

English / Arabic

Course Summary

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Runs monthly

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Course Details

Overview

The Generative Artificial Intelligence course is a practical artificial intelligence and business applications program designed to build applied capability in generative AI concepts, large language models, transformers, self-attention, and multimodal models, text generation, summarization, translation, coding assistance, and business productivity use cases, image generation, video, audio, design applications, and creative business workflows, prompt engineering, few-shot prompting, chain-of-thought prompting, role prompting, and prompt templates. It helps participants understand how AI can improve productivity, decision-making, customer value, operational efficiency, risk control, and innovation.

The program covers generative AI concepts, large language models, transformers, self-attention, and multimodal models, text generation, summarization, translation, coding assistance, and business productivity use cases, image generation, video, audio, design applications, and creative business workflows, prompt engineering, few-shot prompting, chain-of-thought prompting, role prompting, and prompt templates, along with fine-tuning, retrieval-augmented generation, knowledge bases, embeddings, and enterprise assistants, hallucinations, bias, privacy, copyright, cybersecurity, and responsible use of generative AI, practical generative AI workflow design and evaluation of outputs. 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 3 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 generative AI concepts, large language models, transformers, self-attention, and multimodal models in realistic business scenarios related to Generative Artificial Intelligence.
Apply text generation, summarization, translation, coding assistance, and business productivity use cases in realistic business scenarios related to Generative Artificial Intelligence.
Analyze image generation, video, audio, design applications, and creative business workflows in realistic business scenarios related to Generative Artificial Intelligence.
Evaluate prompt engineering, few-shot prompting, chain-of-thought prompting, role prompting, and prompt templates in realistic business scenarios related to Generative Artificial Intelligence.
Develop fine-tuning, retrieval-augmented generation, knowledge bases, embeddings, and enterprise assistants in realistic business scenarios related to Generative Artificial Intelligence.
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.
Professionals who use generative AI tools for writing, analysis, research, service, marketing, operations, HR, legal, finance, or administration.
Organizations seeking practical, responsible, and measurable AI adoption across business functions.

Competencies

Core Competencies

Apply Generative AI concepts, large language models, transformers, self-attention, and multimodal models

Ability to apply generative AI concepts, large language models, transformers, self-attention, and multimodal models within Generative Artificial Intelligence, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply Text generation, summarization, translation, coding assistance, and business productivity use cases

Ability to apply text generation, summarization, translation, coding assistance, and business productivity use cases within Generative Artificial Intelligence, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply Image generation, video, audio, design applications, and creative business workflows

Ability to apply image generation, video, audio, design applications, and creative business workflows within Generative Artificial Intelligence, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply Prompt engineering, few-shot prompting, chain-of-thought prompting, role prompting, and prompt templates

Ability to apply prompt engineering, few-shot prompting, chain-of-thought prompting, role prompting, and prompt templates within Generative Artificial Intelligence, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply Fine-tuning, retrieval-augmented generation, knowledge bases, embeddings, and enterprise assistants

Ability to apply fine-tuning, retrieval-augmented generation, knowledge bases, embeddings, and enterprise assistants within Generative Artificial Intelligence, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply Hallucinations, bias, privacy, copyright, cybersecurity, and responsible use of generative AI

Ability to apply hallucinations, bias, privacy, copyright, cybersecurity, and responsible use of generative AI within Generative Artificial Intelligence, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Learning Journey

Program Outline

Day 1: Generative Ai Concepts, Large Language Models, Transformers, Self-Attention, And Multimodal Models

Generative Ai Concepts, Large Language Models, Transformers, Self-Attention, And Multimodal Models

This session develops practical competence in generative AI concepts, large language models, transformers, self-attention, and multimodal models as part of Generative Artificial Intelligence. 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.

Text Generation, Summarization, Translation, Coding Assistance, And Business Productivity Use Cases

This session develops practical competence in text generation, summarization, translation, coding assistance, and business productivity use cases as part of Generative Artificial Intelligence. 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.

Image Generation, Video, Audio, Design Applications, And Creative Business Workflows

This session develops practical competence in image generation, video, audio, design applications, and creative business workflows as part of Generative Artificial Intelligence. 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.

Prompt Engineering, Few-Shot Prompting, Chain-Of-Thought Prompting, Role Prompting, And Prompt Templates

This session develops practical competence in prompt engineering, few-shot prompting, chain-of-thought prompting, role prompting, and prompt templates as part of Generative Artificial Intelligence. 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.

Fine-Tuning, Retrieval-Augmented Generation, Knowledge Bases, Embeddings, And Enterprise Assistants

This session develops practical competence in fine-tuning, retrieval-augmented generation, knowledge bases, embeddings, and enterprise assistants as part of Generative Artificial Intelligence. 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.

Hallucinations, Bias, Privacy, Copyright, Cybersecurity, And Responsible Use Of Generative Ai

This session develops practical competence in hallucinations, bias, privacy, copyright, cybersecurity, and responsible use of generative AI as part of Generative Artificial Intelligence. 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: Text Generation, Summarization, Translation, Coding Assistance, And Business Productivity Use Cases

Text Generation, Summarization, Translation, Coding Assistance, And Business Productivity Use Cases

Image Generation, Video, Audio, Design Applications, And Creative Business Workflows

Prompt Engineering, Few-Shot Prompting, Chain-Of-Thought Prompting, Role Prompting, And Prompt Templates

Fine-Tuning, Retrieval-Augmented Generation, Knowledge Bases, Embeddings, And Enterprise Assistants

Hallucinations, Bias, Privacy, Copyright, Cybersecurity, And Responsible Use Of Generative Ai

Practical Generative Ai Workflow Design And Evaluation Of Outputs

This session develops practical competence in practical generative AI workflow design and evaluation of outputs as part of Generative Artificial Intelligence. 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: Image Generation, Video, Audio, Design Applications, And Creative Business Workflows

Image Generation, Video, Audio, Design Applications, And Creative Business Workflows

Prompt Engineering, Few-Shot Prompting, Chain-Of-Thought Prompting, Role Prompting, And Prompt Templates

Fine-Tuning, Retrieval-Augmented Generation, Knowledge Bases, Embeddings, And Enterprise Assistants

Hallucinations, Bias, Privacy, Copyright, Cybersecurity, And Responsible Use Of Generative Ai

Practical Generative Ai Workflow Design And Evaluation Of Outputs

Generative Ai Concepts, Large Language Models, Transformers, Self-Attention, And Multimodal Models

Text Generation, Summarization, Translation, Coding Assistance, And Business Productivity Use Cases

Enrollment Summary

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Generative Artificial Intelligence

Certificate Included

Expert-Led Training

Practical Learning

Enrollment Support

days

3 Days

Language

English / Arabic

Overview

The course is designed for approximately 3 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 generative AI concepts, large language models, transformers, self-attention, and multimodal models in realistic business scenarios related to Generative Artificial Intelligence.
Apply text generation, summarization, translation, coding assistance, and business productivity use cases in realistic business scenarios related to Generative Artificial Intelligence.
Analyze image generation, video, audio, design applications, and creative business workflows in realistic business scenarios related to Generative Artificial Intelligence.
Evaluate prompt engineering, few-shot prompting, chain-of-thought prompting, role prompting, and prompt templates in realistic business scenarios related to Generative Artificial Intelligence.
Develop fine-tuning, retrieval-augmented generation, knowledge bases, embeddings, and enterprise assistants in realistic business scenarios related to Generative Artificial Intelligence.
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.
Professionals who use generative AI tools for writing, analysis, research, service, marketing, operations, HR, legal, finance, or administration.
Organizations seeking practical, responsible, and measurable AI adoption across business functions.

Core Competencies

Apply Generative AI concepts, large language models, transformers, self-attention, and multimodal models

Apply Text generation, summarization, translation, coding assistance, and business productivity use cases

Apply Image generation, video, audio, design applications, and creative business workflows

Apply Prompt engineering, few-shot prompting, chain-of-thought prompting, role prompting, and prompt templates

Apply Fine-tuning, retrieval-augmented generation, knowledge bases, embeddings, and enterprise assistants

Apply Hallucinations, bias, privacy, copyright, cybersecurity, and responsible use of generative AI

Program Outline

Day 1: Generative Ai Concepts, Large Language Models, Transformers, Self-Attention, And Multimodal Models

Generative Ai Concepts, Large Language Models, Transformers, Self-Attention, And Multimodal Models

Text Generation, Summarization, Translation, Coding Assistance, And Business Productivity Use Cases

Image Generation, Video, Audio, Design Applications, And Creative Business Workflows

Prompt Engineering, Few-Shot Prompting, Chain-Of-Thought Prompting, Role Prompting, And Prompt Templates

Fine-Tuning, Retrieval-Augmented Generation, Knowledge Bases, Embeddings, And Enterprise Assistants

Hallucinations, Bias, Privacy, Copyright, Cybersecurity, And Responsible Use Of Generative Ai

Day 2: Text Generation, Summarization, Translation, Coding Assistance, And Business Productivity Use Cases

Text Generation, Summarization, Translation, Coding Assistance, And Business Productivity Use Cases

Image Generation, Video, Audio, Design Applications, And Creative Business Workflows

Prompt Engineering, Few-Shot Prompting, Chain-Of-Thought Prompting, Role Prompting, And Prompt Templates

Fine-Tuning, Retrieval-Augmented Generation, Knowledge Bases, Embeddings, And Enterprise Assistants

Hallucinations, Bias, Privacy, Copyright, Cybersecurity, And Responsible Use Of Generative Ai

Practical Generative Ai Workflow Design And Evaluation Of Outputs

Day 3: Image Generation, Video, Audio, Design Applications, And Creative Business Workflows

Image Generation, Video, Audio, Design Applications, And Creative Business Workflows

Prompt Engineering, Few-Shot Prompting, Chain-Of-Thought Prompting, Role Prompting, And Prompt Templates

Fine-Tuning, Retrieval-Augmented Generation, Knowledge Bases, Embeddings, And Enterprise Assistants

Hallucinations, Bias, Privacy, Copyright, Cybersecurity, And Responsible Use Of Generative Ai

Practical Generative Ai Workflow Design And Evaluation Of Outputs

Generative Ai Concepts, Large Language Models, Transformers, Self-Attention, And Multimodal Models

Text Generation, Summarization, Translation, Coding Assistance, And Business Productivity Use Cases

Generative Artificial Intelligence

Request Schedule & Quotation

Overview

Program Objectives

Target Audience

Core Competencies

Apply Generative AI concepts, large language models, transformers, self-attention, and multimodal models

Apply Text generation, summarization, translation, coding assistance, and business productivity use cases

Apply Image generation, video, audio, design applications, and creative business workflows

Apply Prompt engineering, few-shot prompting, chain-of-thought prompting, role prompting, and prompt templates

Apply Fine-tuning, retrieval-augmented generation, knowledge bases, embeddings, and enterprise assistants

Apply Hallucinations, bias, privacy, copyright, cybersecurity, and responsible use of generative AI

Program Outline

Day 1: Generative Ai Concepts, Large Language Models, Transformers, Self-Attention, And Multimodal Models

Day 2: Text Generation, Summarization, Translation, Coding Assistance, And Business Productivity Use Cases

Day 3: Image Generation, Video, Audio, Design Applications, And Creative Business Workflows

More courses open for booking

Explore Our Monthly Training Schedules

Generative Artificial Intelligence

Request Schedule & Quotation

Overview

Program Objectives

Target Audience

Core Competencies

Apply Generative AI concepts, large language models, transformers, self-attention, and multimodal models

Apply Text generation, summarization, translation, coding assistance, and business productivity use cases

Apply Image generation, video, audio, design applications, and creative business workflows

Apply Prompt engineering, few-shot prompting, chain-of-thought prompting, role prompting, and prompt templates

Apply Fine-tuning, retrieval-augmented generation, knowledge bases, embeddings, and enterprise assistants

Apply Hallucinations, bias, privacy, copyright, cybersecurity, and responsible use of generative AI

Program Outline

Day 1: Generative Ai Concepts, Large Language Models, Transformers, Self-Attention, And Multimodal Models

Day 2: Text Generation, Summarization, Translation, Coding Assistance, And Business Productivity Use Cases

Day 3: Image Generation, Video, Audio, Design Applications, And Creative Business Workflows

More courses open for booking

Explore Our Monthly Training Schedules