This course moves beyond a basic introduction to generative AI and focuses on using these technologies more effectively and responsibly in professional environments. Participants explore how modern generative AI systems create content, support decision-making, and enable new approaches to work across organisations.

The programme examines how generative AI differs from traditional AI, the different types of content these systems can produce, and the opportunities they can create for businesses. It also considers important limitations and risks, including hallucinations, bias, information security, transparency, and governance.

A key part of the course focuses on prompt design. Learners develop techniques for creating clearer, more contextual, and structured prompts that can produce more useful AI outputs. The course also introduces Retrieval Augmented Generation (RAG), exploring how trusted or organisational information can be combined with generative AI to improve the relevance and potential accuracy of responses.

Through examples, discussions, and practical interaction with generative AI tools, participants have opportunities to relate these techniques to their own roles, business processes, and organisational requirements.

We can organize this training at your preferred date and location.

Prerequisites

This course is designed to be accessible without requiring deep technical expertise. Participants should have:

A general awareness of digital technologies used within modern organisations,
An interest in how AI is changing business processes, professional roles, and decision-making.

Previous experience in AI development, data science, or programming is not required.

Who Should Attend

This course is particularly suitable for:

Beginner and intermediate learners developing their knowledge of generative AI,
Professionals who want to use AI tools more effectively at work,
People working across Business Operations, Marketing, HR, Education, Healthcare, and Technology,
Managers and team leaders who may guide AI usage within their teams,
Professionals involved in AI adoption decisions,
Organisations seeking to establish a shared understanding of generative AI across different functions.

What You Will Learn

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

Describe the main capabilities of generative AI,
Explain how generative AI can produce content including text, images, audio, video, and code,
Distinguish between Traditional AI and Generative AI approaches,
Evaluate key strengths and limitations of generative AI,
Identify important risks including hallucinations, bias, security, and governance concerns,
Assess real-world generative AI use cases across different industries,
Consider whether a business problem is appropriate for a generative AI solution,
Apply Structured Prompting techniques to improve AI interactions,
Define context, instructions, and output requirements more effectively,
Explain the basic principles of Retrieval Augmented Generation (RAG),
Evaluate how RAG can support greater relevance and potential accuracy in organisational AI solutions.

Training Outline

Module 1 – Introduction to Generative AI

This module establishes a common foundation for understanding generative AI and its growing range of applications.

Overview of Artificial Intelligence
Evolution of AI technologies
Traditional AI and Generative AI
Core characteristics of generative models
Text generation
Image generation
Audio and music generation
Video generation
Code generation
Organisational applications of generative AI
Examples and demonstrations of commonly used Generative AI tools

Module 2 – Strengths and Challenges of Generative AI

This module examines the potential advantages of generative AI alongside the limitations that organisations need to consider.

Potential productivity benefits
Creativity and idea generation
Scalable content creation
Supporting access to information and business processes
Hallucinations and inaccurate outputs
Bias and potentially unbalanced results
Data dependency
Transparency challenges
Privacy and information security
Intellectual property and legal considerations
Ethical use of AI
Risks of overreliance
Importance of AI Governance
The role of human oversight

Module 3 – Real-World Applications and Generative AI Implementation

This module considers how generative AI can be applied to practical business challenges.

Marketing use cases
Healthcare examples
Education applications
Customer Service
Technology and software processes
Content creation and knowledge management
Identifying suitable business problems for Generative AI
Evaluating potential value
Technical and organisational feasibility
Organisational readiness
Leadership considerations
Employee and user impact
Customer considerations
Regulatory requirements
Evaluating strategic options for AI adoption

Module 4 – Effective Prompt Design

This module develops practical techniques for communicating more effectively with generative AI systems.

What is a prompt?
How prompt design influences AI output
Writing clear and specific instructions
Providing relevant context
Defining expected outputs
Creating Structured Prompts
Breaking complex tasks into manageable steps
Prompting for business and professional scenarios
Evaluating AI-generated outputs
Improving prompts based on results
Iterative Prompting
Developing more consistent and useful outputs

Module 5 – Retrieval Augmented Generation (RAG)

This module introduces the use of external or organisational information to support generative AI systems.

Introduction to Retrieval Augmented Generation
Basic principles of how RAG works
Supporting a Generative AI model with relevant information
The role of internal organisational data
Providing context from trusted information sources
Improving response relevance
Potential improvements to accuracy
Comparing RAG with standard prompting
Organisational knowledge base use cases
Evaluating the business value of RAG

Hands-On Learning

Throughout the programme, participants interact with generative AI tools and experiment with different prompting approaches.

Practical activities may include:

Testing the same task with different prompts,
Improving unclear or incomplete prompts,
Exploring the effect of adding context and instructions,
Applying Structured Prompting techniques,
Evaluating AI outputs for quality and usefulness,
Developing prompts for realistic workplace scenarios,
Exploring RAG through example business use cases.

This practical approach helps participants move beyond simply understanding generative AI and towards using it more effectively, thoughtfully, and responsibly within professional environments.

Why Choose Us

Experience Generative AI Intermediate Prompting in Saudi Arabia through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

Delivery Method: Online Instructor-Led
Participation Model: Public / Private (In-house)
Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
Worldwide Access: Join our live virtual classrooms from Saudi Arabia or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Generative AI Intermediate Prompting through face-to-face Classroom Based training in Saudi Arabia. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

Delivery Method: Classroom Based
Participation Model: Public / Private (In-house)
Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Generative AI Intermediate Prompting in Saudi Arabia as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

Delivery Method: Onsite
Participation Model: Private (In-house)
Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
Worldwide Onsite Delivery: Arrange the training in Saudi Arabia or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Generative AI Intermediate Prompting Training in Saudi Arabia

Prerequisites

Who Should Attend

What You Will Learn

Training Outline

Module 1 – Introduction to Generative AI

Module 2 – Strengths and Challenges of Generative AI

Module 3 – Real-World Applications and Generative AI Implementation

Module 4 – Effective Prompt Design

Module 5 – Retrieval Augmented Generation (RAG)

Hands-On Learning

Why Choose Us

Generative AI Intermediate Prompting Training Course in Saudi Arabia Schedule

Blog posts related to Generative AI Intermediate Prompting Training Course in Saudi Arabia

Generative AI Intermediate Prompting Training in Saudi Arabia

Prerequisites

Who Should Attend

What You Will Learn

Training Outline

Module 1 – Introduction to Generative AI

Module 2 – Strengths and Challenges of Generative AI

Module 3 – Real-World Applications and Generative AI Implementation

Module 4 – Effective Prompt Design

Module 5 – Retrieval Augmented Generation (RAG)

Hands-On Learning

Why Choose Us

Online Instructor-Led Training

Classroom Based Training

Onsite Training

Generative AI Intermediate Prompting Training Course in Saudi Arabia Schedule

Blog posts related to Generative AI Intermediate Prompting Training Course in Saudi Arabia

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