Certification in Generative AI and Agentic Systems in Saudi Arabia

40-hour Gen AI & Agentic Systems training

Globally recognised AI certification

Automation Sandbox for Gen AI workflows

Lifetime access to expert-led 8 modules

Flexible learning options with easy instalments

4.26/5

5043 EnrolledEnrolled Learners

4.26/5

5043 EnrolledEnrolled Learners

Overview

What we are going to teach you:

Grasp core Generative AI concepts in LLM design, tokens, and prompting strategies
Develop autonomous agents through no-code automation platforms
Create RAG architectures linking enterprise documents to vector databases
Enhance processes with Zapier, Make, and n8n integrations
Evaluate industry examples such as Duolingo’s GPT-4 and The Coca-Cola Company’s AI initiatives
Launch AI-driven optimisation projects with measurable ROI and change frameworks

Upcoming sessions

Curriculum

Evolution of Generative AI and Agentic Systems

Key concepts: LLMs, GPT models, Autonomous Agents, Multimodal AI

Applications in business: automation, personalization, optimization

Business Process AI Opportunity Selection

Advanced prompt engineering techniques

Chain-of-Thought Prompting and Few-Shot Learning

Persona-based prompts and meta-prompting

AI Prompt Architecture Design

What makes AI systems autonomous

Multi-Agent Systems collaboration

Designing autonomous decision-making systems

Agentic Workflow Design Blueprint

Introduction to RAG

Vector databases and semantic search

Custom knowledge bases for business

Knowledge-Enhanced AI Integration Plan

Integrating AI with CRM, ERP, marketing platforms

Low-code/no-code workflow automation

API integration for orchestration

Enterprise AI Workflow Automation Model

AI ethics: fairness, accountability, transparency

Bias detection and mitigation

Data privacy regulations: GDPR, CCPA, AI Act

Responsible AI Governance Framework

Defining KPIs for AI projects

Calculating ROI and TCO

Change management in AI implementation

AI ROI & Change Management Strategy

Final presentations

Q&A and expert panel feedback

Future trends: AGI, quantum AI, multimodal AI

Executive AI Transformation Presentation

Participants develop a basic AI solution framework, including prompt architectures, agentic workflows, RAG systems, governance strategies, and AI integration plans, aligned with business objectives.

The Automation Sandbox enables participants to apply the knowledge gained during the training to their professional responsibilities and everyday work processes.

This activity encourages participants to examine their existing workflows and consider how the concepts learned in the program can be used to improve efficiency, streamline tasks, and support better operational outcomes.

It helps participants approach their processes from an automation-oriented perspective, identifying areas where structured processes and automation could add value while also recognizing situations where automation may not be appropriate.

Through guided exercises, participants will review and analyze their current workflows, identifying opportunities for improvement through clearer structuring, simplification, and logical sequencing of tasks.

They will then translate their process expertise into well-defined workflow structures that outline key steps, decision points, and expected results.

These structured workflows are designed to be easily understood by technical automation teams, enabling effective implementation while bridging the gap between operational process knowledge and technical automation development.

Meet your Trainer

Our Trainers

We take immense pride in our skilled instructors and trainers who excel in their chosen fields. Our trainers are globally recognised for their expertise and experience.Learners Point adopts a data driven research approach to learning so the experience is highly customizable and thoroughly engaging for learners from all walks of life. The sessions are classroom-based and led by an instructor. For those who seek more flexibility, we also offer high quality live and interactive sessions online.

Learning Outcomes

Upon course completion, professionals are able to:

Refine advanced prompting strategies to deliver high-impact AI business outcomes

Examine intelligent agent systems for streamlining complex decisions and operations

Create AI-driven optimisation programs to improve organizational effectiveness

Connect AI capabilities with business platforms via APIs and low-code tools

Build awareness of ethical standards, governance models, and data protection requirements

Ready to get started?

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

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Frequently asked questions

Our Certification in Generative AI and Agentic Systems in Saudi Arabia aims to empower professionals with expertise in advanced AI technologies, such as Generative AI, autonomous AI agents, and RAG systems. Participants engage in hands-on training with the latest tools, including GPT, Claude, and no-code platforms, to gain practical experience.

By completing this program, participants are prepared to drive AI-powered initiatives, streamline processes, and implement automation solutions that support organizational digital transformation.

This program has no mandatory prerequisites; however, a basic understanding of AI, introductory programming, or business process concepts can be advantageous. Professionals with managerial or technical experience are encouraged to apply, though prior expertise is not required.

In this Generative AI and Agentic Systems course in Saudi Arabia, you will map “As-Is” workflows, identify pain points, and design AI solutions to reduce errors and cycle time. Using the Universal Project, you focus on process selection, prompt templates, agent setup, automation chains, and implementation planning. We help you build, test, and debug multi-step workflows with Zapier, Make, and n8n, delivering AI optimisation initiatives with ROI and change management.

In this Generative AI course in KSA, candidates select a repetitive or time-consuming process in a simulated multinational organization, such as customer service, workflow, or data management.

You will design an AI-driven solution using Generative AI, Agentic Systems, and automation principles, focusing on measurable results, scalability, and alignment with business objectives. Our goal is a practical and high-impact AI implementation.

This program enables you to implement AI responsibly, ensuring compliance, fairness, and organizational trust. We teach you to:

Address fairness, accountability, transparency, and detect/mitigate bias in AI systems
Understand privacy and regulations, including GDPR, CCPA, and the AI Act
Build an AI governance charter and develop AI usage policies
Create a risk assessment matrix for AI projects
Participate in a crisis-management simulation for AI system failures
Gain skills to scale AI adoption while maintaining oversight and compliance

Yes. We offer structured post-training support to ensure continued success after completing this certification in Generative AI and Agentic Systems:

Access to curated learning resources and practical templates
Ongoing engagement and knowledge-sharing opportunities
Support to refine your AI model design and ROI framework
**Guidance to enhance workflow automation strategies
Continued assistance to confidently implement AI initiatives within your organization

The Industry Simulation helps professionals in Saudi Arabia translate AI learning into practical business application. Throughout the Certification in Generative AI and Agentic Systems, participants progressively design and refine a real-world AI solution for their own organisation.

This includes identifying AI opportunities, developing prompt architectures, building agentic workflows, planning knowledge-enhanced AI integration, establishing governance frameworks, measuring ROI, and presenting a board-ready transformation strategy.