Artificial Intelligence and Applied Gen AI Certification in Saudi Arabia

90 hours of Full-Stack AI, Applied Gen AI training program

Globally recognised industry-standard AI certification

Neural networks expertise using Automation Sandboxes

30+ Modules | Capstone Projects | Real-World Deployment

Flexible learning options with easy instalments

4.8/5

3645 Enrolled

Overview

What you will master with us:

Master Python, Power BI, LangChain, RAG, RL, Agents and TensorFlow for deep learning
Build NLP models like chatbots and prepare professionals for production-ready AI roles
Implement reinforcement learning techniques using Q-learning
Develop Gen AI projects using GANs, Transformers & diffusion models
Apply AI to business scenarios with tools like Power BI & Flask
Architect complex neural network structures using advanced backpropagation and hyperparameter tuning for maximum accuracy

Learning Objectives

Upon finishing the training, you will:

Master deep learning techniques using TensorFlow, Keras, and Python for advanced AI applications

Design and deploy NLP models using Python for real-world tasks like sentiment analysis

Build and optimise Generative AI models using GANs, Transformers and diffusion models

Implement reinforcement learning algorithms for problem-solving and decision-making in complex scenarios

Develop AI-driven business solutions with Power BI, Flask and machine learning model integration

Gain hands-on experience with real-world projects, from chatbots to predictive models

Ready to get started?

Overall ratings by our students

Upcoming sessions

Our Trainers

Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

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.

Learners Point Certificate

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

Related courses

Curriculum

Python syntax, variables, data types
Conditional statements and loops
Functions and lambda functions
Lists, tuples, dictionaries, sets
Automating data workflows

Jupyter/Colab usage
NumPy arrays and indexing
Vectorized operations
Matrix transformations
Numerical computation workflows

Data loading and cleaning
Handling missing values
Data merging
Data transformation
Dataset preparation workflows

Statistical measures
Distribution analysis
Probability rules
Normal and binomial distributions
Business data interpretation

Central Limit Theorem
Confidence intervals
t-tests, chi-square, ANOVA
A/B testing
Decision-making using statistics

Histograms and bar charts
Boxplots and heatmaps
Correlation analysis
Visualization best practices
Dashboard-ready charts

Feature engineering
Scaling and encoding
Outlier detection
Data exploration workflows
Pattern identification

ML types and workflows
Model training and evaluation
Performance metrics
Model validation
Business ML applications

Linear regression
Logistic regression
Model interpretation
ROC-AUC and confusion matrix
Prediction systems

Decision trees
Random forests
KNN algorithm
Model tuning
Predictive modeling use cases

K-means clustering
Hierarchical clustering
PCA
Feature reduction
Segmentation models

Data integration
Power Query transformations
DAX calculations
Dashboard building
Business reporting

Model export and integration
Dashboard automation
Predictive analytics visualization
Business intelligence workflows
Data storytelling

ANN concepts
Activation functions
Forward and backward propagation
Keras implementation
Model design

TensorFlow and Keras
Loss functions and optimizers
Overfitting and underfitting
Model tuning
Trainer workflows

Text preprocessing
Tokenization and lemmatization
Vectorization techniques
NLP workflows
Sentiment analysis

Logistic regression and Naive Bayes
Word embeddings
Classification models
Text categorization
Model evaluation

Image processing
CNN architecture
Transfer learning
Model storage
Deployment basics

Flask and FastAPI
REST API development
Model deployment
Integration workflows
Production considerations

RL concepts
Q-learning
Agent-environment interaction
Exploration vs exploitation
Simulation models

Self-attention mechanisms
Transformer architecture
BERT vs GPT
Positional encoding
Text generation

GAN architecture
Generator and discriminator
GAN variants
Image generation
Model training

Diffusion process
DDPM
Tools like Stable Diffusion
Image generation workflows
Model comparison

GPT and LLM concepts
Prompt engineering
Fine-tuning techniques
Domain-specific models
Chatbot development

LangChain architecture
Retrieval-augmented generation
Knowledge integration
AI pipelines
LangChain architecture

Vision-Language Models
Media generation
Multimodal systems
AI creativity tools
Application design

Multi-agent systems
Autonomous workflows
Decision agents
Task orchestration
AI assistants

Copilot Integration:

Generate agent workflows

Multi-agent collaboration
LangChain dynamic decision agents
Build a simple autonomous assistant

Copilot Integration:

Generate orchestration logic

Task decomposition & planning
Reflex vs learning agents
CrewAI orchestration
Multi-agent workflows

Copilot Integration:

Generate planning logic

LangChain tools (Search, APIs, Zapier)
Agent memory (vector, long-term, summary)
Context retention strategies
Web-aware chatbot systems

Copilot Integration:

Generate tool workflows

Function calling
ReAct prompting
Toolformer concept
Tool-based reasoning

Copilot Integration:

Generate reasoning workflows

Prompt → tools → output orchestration
Guardrails and observability
Evaluation metrics
Production workflows

Copilot Integration:

Generate production workflows

Ethics and bias
Model governance
Deployment platforms
Monitoring and evaluation
Public hosting

Copilot Integration:

Generate governance insights

Participants will build end-to-end AI solutions including data pipelines, predictive models, generative AI systems, and autonomous agents. Projects include employee attrition prediction, sentiment analysis systems, and building autonomous chatbots using LangChain.

The Automation Sandbox enables participants to apply the knowledge gained during the training to their own professional responsibilities and everyday work processes.
This activity encourages participants to examine their existing workflows and identify opportunities to improve efficiency, streamline tasks, and enhance operational outcomes.
Through guided exercises, participants review and analyze their current workflows, identify opportunities for improvement, and redesign processes using structured approaches. They translate their expertise into well-defined workflow structures outlining key steps, decision points, and expected outcomes.
These structured workflows are designed to be easily understood by technical teams, enabling effective automation implementation while bridging the gap between business processes and technical execution.

Frequently asked questions

The Artificial Intelligence and Applied Gen AI Certification in Saudi Arabia is a comprehensive training program designed to build expertise in AI fundamentals, machine learning and generative AI applications. Our course helps you with practical skills in data analysis, natural language processing, computer vision and AI model deployment created for real-world problem-solving.

Our certification emphasises on applied learning. It helps professionals in Saudi Arabia use AI tools to innovate across business and technical functions. We prepare you for AI, machine learning, and applied GenAI roles in the region’s growing digital economy.

The Artificial Intelligence and Applied Gen AI Certification in Saudi Arabia welcomes individuals from diverse academic and professional backgrounds who want to build expertise in AI and generative technologies. Whether you are a student, IT professional, or business leader, our program is structured to support your growth. The ideal candidates who can enrol are:

IT Professionals & Engineers
Data Analysts & Scientists
Business Leaders & Managers
Students & Graduates
Researchers & Academics

Earning the Artificial Intelligence and Applied Gen AI Certification in the KSA helps you with in-demand skills that accelerate career opportunities across industries. We enhance your technical expertise and also position you as a future-ready professional. These benefits are:

1. Gain priority in AI-driven roles across tech, finance and healthcare
2. Certified AI specialists in KSA earn higher salaries annually
3. Stay relevant with hands-on training in Gen AI, LLMs and automation
4. Earn a certification valued across the Middle East and internationally
5. Access leadership roles in AI strategy, consulting and digital innovation

No, you do not need any prior experience to join the Artificial Intelligence and Applied Gen AI Certification in Riyadh. Our course is designed to accommodate both beginners and professionals by starting with AI foundations, programming basics and essential tools before progressing to advanced concepts.

However, having some familiarity with Python, data handling, or machine learning concepts can help you grasp topics faster. Even without prior experience, the program’s hands-on approach ensures you gain practical AI skills.

Yes, the Artificial Intelligence and Applied Gen AI Certification in the KSA includes an Industry Simulation toward the end of the training. This simulation allows you to apply the skills learned across modules, including Python programming, machine learning, deep learning, and generative AI techniques.

You will build and apply an AI solution using data pre-processing, model building, and visualisation. Completing this simulation helps demonstrate practical expertise and strengthens your professional portfolio.

Yes, that is precisely what makes Automation Sandbox one of the most valuable components of this certification. The Automation Sandbox ensures your learning never stays theoretical, it gets applied, tested, and refined in real time. Automation Sandbox helps you to apply AI in the following ways:

Immediate, concurrent application of AI concepts as you progress through the course, so every new skill you learn in the classroom is reflected and tested against your own real-world workflows.
Hands-on experience with automation thinking by training you to evaluate your professional processes through an AI and automation lens.
Practical implementation of key AI techniques including process structuring, workflow logic design, and automation mapping, that mirror what AI professionals and business analysts apply.
A personalised learning loop where feedback from your Automation Sandbox exercises reinforces and deepens your understanding of Machine Learning, Generative AI, and Agentic AI concepts.
Confidence to lead AI adoption in your organisation by giving you a structured and guided environment to experiment, make mistakes, and refine your approach.

As Saudi Arabia accelerates its Vision 2030 digital transformation agenda, the demand for skilled AI professionals has never been greater. Learners Point is uniquely positioned to help you meet that demand. The reasons why you should choose Learners Point:

Locally relevant and globally recognised training designed to align with the KSA's growing AI and digital economy ambitions.
A curriculum built for the future of work in Saudi Arabia covering Machine Learning, Generative AI, LLMs, and Agentic AI systems.
Experienced and practitioner-led instruction from industry professionals who understand the regional business landscape.
The unique Automation Sandbox that allows you to apply AI directly to your own workplace workflows.
Flexible learning options suited to working professionals across KSA, that is structured to fit around demanding schedules while maintaining the depth, rigour, and mentorship support.
A trusted training partner with a strong track record of upskilling professionals across the Middle East, making it one of the most credible and reliable choices for AI certification training in Saudi Arabia.

In the Artificial Intelligence and Applied Gen AI Certification in Saudi Arabia, you gain practical expertise with industry-standard AI tools. Our training ensures you are hands-on with platforms and frameworks widely used in real-world AI projects. The tools are:

Python & Jupyter Notebooks – for coding, experimentation and data analysis
TensorFlow & PyTorch – for building and training deep learning models
LangChain & AutoGPT – for creating AI agents and workflows
OpenAI & Hugging Face APIs – for NLP and generative AI applications
Tableau & Power BI – for AI-driven data visualisation and insights

Yes, this course in Saudi Arabia includes in-depth learning on Generative Adversarial Networks (GANs). You will explore how GANs work with a generator and discriminator to create realistic synthetic data, images and other outputs that mimic real-world patterns.

Our course covers popular GAN architectures such as DCGAN and CycleGAN. We teach you how to apply them in fields like image synthesis, data augmentation, and creative AI applications, which boosts your advanced AI expertise.

Yes, you can enrol in the Applied Gen AI course from locations outside Saudi Arabia. We deliver our Applied AI training across various locations, which helps you to achieve this credential. These regions are: