Artificial Intelligence Foundation Course in Dubai

Internationally accredited training program

35 hours of comprehensive training

Tailored learning solutions for individuals & groups

6 complete course modules & mentorship

Flexible payment options available

4.85/5

5439 Enrolled

Overview

What we’re going to teach you

Gain a comprehensive understanding of Artificial Intelligence (AI)
Learn six detailed modules, covering essential AI topics including Advanced Python, Machine Learning, & Deep Learning
Gain practical skills to develop AI applications for solving real-world business
Engage in practical exercises on advanced topics such as building neural networks, & understanding AI's mathematical foundations
We offer personalized learning options to suit individuals and group

Learning objectives

Upon finishing the training, you will master

Gain a deep understanding of AI principles & its practical applications

Acquire knowledge of database concepts & programming fundamentals

Enhance knowledge of Machine Learning, & Neural Networks

Learn various issues associated with AI technology

Develop an in-depth understanding of AI's impact on business operations

Ready to get started?

Prerequisites

Somethings you need before starting

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

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.

Related courses

Curriculum

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 work with large datasets and optimizing algorithms for AI models.

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

Machine Learning Primer
Machine Learning core concepts, scalable algorithms, 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

The Artificial Intelligence Foundation Course in Dubai duration is 24 hours.

The Artificial Intelligence Foundation Course in Dubai is ideal for:

1. Developers seeking to construct practical AI applications.
2. Beginners in programming aiming for a thorough learning path.
3. Seasoned programmers who are interested in integrating AI into their current tech setups.

The top job roles are as follows:

1. AI Engineer
2. Machine Learning Engineer
3. Data Scientist
4. AI Research Scientist
5. AI Developer
6. Robotics Engineer
7. AI Consultant
8. Natural Language Processing (NLP) Engineer
9. Computer Vision Engineer
10. AI Project Manager

Our Artificial Intelligence Foundation certification is globally recognized and acknowledged in Dubai and beyond.

At Learners Point, if a participant doesn’t wish to proceed with the training in Dubai after registration. He or she is eligible for a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days from the registration date. The refund will be processed within 4 weeks from the day of exit.