Artificial Intelligence and Machine Learning Course in Saudi Arabia
3.5 months of industry-led practical training
Master Python, Pandas, NumPy, and Tableau tools
Learn ML, NLP, and Deep Learning techniques
Work on 5+ industry use cases and a capstone project
Access CareerHub for interviews and resumes
Lifetime access to classes and CareerHub for job readiness
4.8/54582 EnrolledEnrolled Learners
Overview
What our training includes:
- Learn from industry experts with 10+ years of experience in the Middle East tech sector
- Master AI implementation technologies through real-world case studies and a Capstone Project
- Utilize Python libraries like NumPy and Pandas for data processing and statistical analysis
- Create insightful data visualizations using MatPlotLib for better decision-making
- Develop and deploy machine learning models for predictive analytics and automation
- Understand CNN and RNN architectures through NLP and Deep Learning applications
- Leverage Tableau for data-driven insights, including geographical, customer, and product analysis
Upcoming sessions
Curriculum
1
Evolution of AI: From rule-based systems to deep learning
2
Difference between AI, ML, Deep Learning, and Data Science
3
Business applications across industries (Finance, Healthcare, Retail, Manufacturing, HR)
4
AI/ML project lifecycle and stakeholder management
5
Ethical considerations and responsible AI
1
Understanding structured vs. unstructured data
2
Data quality: The GIGO principle (Garbage In, Garbage Out)
3
Data collection, cleaning, and preprocessing fundamentals
4
Feature engineering basics
5
Data privacy regulations (GDPR, data sovereignty)
1
Types of ML: Supervised, Unsupervised, Reinforcement Learning
2
Common algorithms: Linear Regression, Decision Trees, Random Forest, K-means Clustering
3
Model training, testing, and validation
4
Overfitting vs. Underfitting
1
Introduction to Neural Networks and deep learning
2
Convolutional Neural Networks (CNNs) for image recognition
3
Recurrent Neural Networks (RNNs) for sequence data
4
Natural Language Processing (NLP) basics
5
Transfer learning and pre-trained models
1
Understanding Generative AI: GANs, Transformers, Diffusion Models
2
Large Language Models (LLMs): GPT, BERT, Claude architecture overview
3
Prompt engineering fundamentals
4
Retrieval Augmented Generation (RAG)
5
Business applications: Content creation, code generation, customer service
1
ML project management: From POC to production
2
MLOps: Continuous integration and deployment for ML
3
Model monitoring and maintenance
4
A/B testing and experimentation
5
Building AI teams: Roles and responsibilities
6
Change management for AI adoption
1
AI in Finance: Risk assessment, algorithmic trading, fraud detection
2
AI in Healthcare: Diagnosis, drug discovery, patient care
3
AI in Manufacturing: Quality control, supply chain, predictive maintenance
4
AI in Retail/E-commerce: Personalization, inventory, demand forecasting
5
AI in HR: Recruitment, employee engagement, performance prediction
6
Calculating AI ROI and business impact metrics
1
Each participant/team presents their domain-specific project (15 mins each)
2
Consolidated Project components:
3
Peer and instructor feedback
4
Best project awards
5
Emerging trends: Quantum ML, Edge AI, Federated Learning
6
AI regulation and governance landscape
7
Building a personal AI learning roadmap
8
Resources for continued learning
Meet your Trainer
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.
Learning Objectives
This course aims to teach you the following:
1
Understand the key roles and responsibilities of Data Scientists and AI Engineers in various industries
2
Understand key responsibilities of Data Scientists and AI Engineers in various industries
3
Gain expertise in Python libraries and advanced Machine Learning models for AI applications
4
Develop predictive models to analyze data and solve real-world business challenges
5
Utilize AI tools to extract insights, optimize processes, and enhance decision-making
6
Apply data-driven strategies to tackle complex business problems with analytics and AI
7
Strengthen your portfolio with 5+ real-world use cases and a hands-on Capstone Project
8
Earn globally recognized certifications from Learners Point and KHDA for career growth
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.
Overall ratings by our students
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Frequently asked questions
Our Artificial Intelligence and Machine Learning Course helps professionals to prepare several key concepts of AI and ML . It covers core concepts of AI, including NLP, computer vision, neural networks along with ML basics such as supervised and unsupervised learning, model training and evaluation. Our course opens career pathways in AI development, automation and analytics in Riyadh, Saudi Arabia.
Our certification is suitable for beginners as it starts with fundamental AI concepts and gradually moves towards advanced topics. Beginners will receive structured guidance to build their knowledge step by step.
AI and ML prepares professionals to high-paying jobs across industries. With companies increasingly adopting AI-driven solutions, skilled professionals are in high demand. AI expertise can lead to careers in:
- Data Science & AI Engineering
- Business Intelligence & Data Analytics
- Software Development & Automation
- Healthcare, Finance, and Cybersecurity AI Solutions
Several top companies in Riyadh are actively hiring AI & ML certified professionals. The companies names are as follows:
Saudi Aramco
STC (Saudi Telecom Company)
NEOM
IBM Middle East
Amazon
Microsoft
PwC Middle East
Emirates National Oil Company
Bitech Middle East
AI and ML are in high demand in Saudi Arabia, driven by Vision 2030’s goal of diversifying the economy beyond oil. **The government’s investment in digital transformation is playing a major role in adopting these technologies to boost efficiency and service delivery in important sectors like healthcare, finance, and energy. **
Additionally, the country is fostering a supportive environment for AI innovation and startups, alongside a strong focus on developing local talent to build a skilled workforce. These efforts are fueling the growing need for AI and ML professionals in the region.
Candidates enrolling in our AI and ML training in Riyadh will work on several real-world projects using Machine Learning. These include predictive analytics, customer segmentation, sentiment analysis, recommendation systems and image classification. It gives them practical Machine Learning experience that can be showcased in the portfolio.
Yes, our Artificial Intelligence and Machine Learning course in Saudi Arabia is carefully designed to provide a structured, intensive learning experience within 3.5 months. You will gain:
A clear understanding of AI and ML concepts through interactive classroom sessions
Hands-on experience with real-world projects and assignments after every module
Industry use cases to strengthen your problem-solving abilities
A Capstone Project to simulate real-world AI applications
If you feel the need for additional revisions, you can always attend multiple batches with our lifetime access policy.
Candidates can take our AI and ML Course across GCC locations. We help students to earn this respected credential, as we provide our training over different regions globally.
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