Artificial Intelligence Course in Saudi Arabia

24 hours of in-depth interactive course

Composed of 6 individual learning modules

Gain foundational knowledge of Artificial Intelligence concepts

Work on real-world projects using AI technologies

Prepare for globally recognized AI certifications

Ensure smooth payment through flexible instalment options

4.85/5

4956 Enrolled

Overview

What you will master with us:

Explore machine learning techniques and applications
Understand neural networks and deep learning fundamentals
Learn about AI-driven data analytics strategies
Develop skills in natural language processing (NLP)
Study AI applications in various industries
Master computer vision and image recognition techniques
Get hands-on experience with AI programming tools

Learning Objectives

After completion of the course, you will:

Understand AI's historical development & key domains and recognise its modern significance

Grasp foundational ML concepts including objective functions, regularisation, popular metrics, optimizers & neural network principles

Develop expertise in Python fundamentals, array manipulation & efficient package management crucial for deep learning projects

Dive into TensorFlow's core concepts, autograph, eager execution & seamlessly integrate Keras for efficient neural network development

Acquire proficiency in linear algebra, calculus essentials & probability basics essential for optimising and understanding deep learning algorithms

Master key concepts of deep learning networks & explore activation functions crucial for network performance optimisation

Ready to get started?

Prerequisites

To enrol in the Artificial Intelligence Course in Saudi Arabia, the given eligibility criteria must be followed:

Basic understanding of programming concepts such as variables, data types, functions, loops and conditional statements
Familiarity with machine learning concepts such as supervised and unsupervised learning, decision trees, and neural networks is helpful for an AI foundation course
A solid understanding of data structures and algorithms is essential to working with large datasets and optimising algorithms for AI models

Overall ratings by our students

Upcoming sessions

Our Trainer

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

History of Artificial Intelligence (AI)
Five domains of AI
Why AI now?
Limitation of AI

Machine Learning Primer
Machine Learning core concepts, scalable algorithms, and project workflow.
Objective Functions and Regularization
Understanding the Objective Function of ML Algorithms
Metrics, Evaluation Methods and Optimizers
Popular Metrics in Detail: R2 Score, RMSE, Cross-Entropy, Precision, Recall, F1 Score, ROC-AUC, SGD, ADAM
Artificial Neural Network
ANN in detail, Forward Pass and Back Propagation
Machine Learning vs. Deep Learning
Core difference b/w ML and DL from an implementation perspective

Python Programming Primer
Installing Python, Programming Basics, Native Data types
Class, Inheritance and Magic Functions
Python Classes, Inheritance Concepts, Magic Functions
Special Functions in Python
Overview, Array, selecting data, Slicing, Iterating, Array Manipulations, Stacking, Splitting arrays, Key Functions
Decorators and Special Functions
Decorators implementation with class
Context Manager ‘with’ in Python
Context Manager Application
Exception Handling
Try and Catch block
Python Package Management
Bundling and export Python packages

TensorFlow 2.0 Basics
TensorFlow core concepts, Tensors, core APIs
Concrete Functions, Data Types, Control Statements
Polymorphic Functions, Concrete Functions, Datatypes, Control Statements, NumPy, Pandas
Autograph eager execution
tf.function autograph implementation
Keras (TensorFlow 2.0 Built-in API) Overview
Sequential Models, configuring layers, loading data, train and test, complex models, callbacks, save and restore Neural Network weights
Building Neural Networks in Keras
Building Neural networks from scratch in Keras

Linear Algebra
Vectors, Matrices, Linear Transformation, Eigen Vectors, Matrix Operations, Special Matrices
Calculus – Derivatives: Calculus essentials, Derivatives and Partial Derivatives, Chain Rule, Derivatives of special functions
Probability Essentials: Probability basics and notations, Conditional probability, Essential Probability theorems for Machine Learning
Special functions: Relu, Sigmoid, SoftMax, Popular Loss Functions – Cross-Entropy, Quadratic Loss Functions

Deep Learning Network Concepts
Core Concepts of Deep Learning Networks
Deep Dive into Activation Functions
Building a simple Deep Learning Network
Tuning Deep Learning Network

Frequently asked questions

Artificial Intelligence Course is an entry level credential for individuals to build and enhance their essential AI knowledge and practical skills for various sectors. This course is beneficial to candidates in many ways. Some of these benefits are:

1. Practical Experience with AI Technologies
2. Understanding AI Applications in Various Industries
3. Preparedness for Global AI Certifications
4. Recognition as an AI Expert

There are several eligibility requirements for an individual before enrolling for the AI Course in Saudi Arabia. These are essential for them to grasp the training perfectly. These are as follows:

1. Basic understanding of programming concepts
2. Familiarity with machine learning concepts
3. Solid understanding of data structures and algorithms

The AI Training Course in Saudi Arabia is ideal for beginners and experienced developers. Individuals from college graduates looking to land their first career jobs to experienced developers looking to increase their AI skills can enrol in this course.

After completing the AI Training Course, an individual in Saudi Arabia can get ample job opportunities. They become well prepared to stay competitive in the field of AI & Machine learning. Some of them are listed below:

1. Business Intelligence Developers
2. AI Engineers
3. Machine Learning Engineers
4. Robotic Scientists
5. Research Scientists

Yes, the individuals will get a course completion certificate after completing our Artificial Intelligence Training in Saudi Arabia. It will be issued and provided by Learners Point Academy. This certificate will validate the individual’s skills in mastering AI and building AI-based applications.

There are several key topics covered in our course in Saudi Arabia. These topics are taught by our expert instructors through hands-on training sessions across 6 course modules. They are as follows:

1. Machine Learning
2. Deep Learning
3. Neural Networks
4. Natural Language Processing
5. Computer Vision
6. AI Ethics

There are several programming languages which are taught during the Artificial Intelligence Course. These are extremely necessary and useful for individuals in Saudi Arabia to master AI skills. These are taught using hands-on sessions. Some of these are: