Artificial Intelligence Foundation Course

Globally recognized training program

35 hours of engaging training

1:1 exam guidance & mentorship

Customised learning options for individuals & groups

4.9/5

6684 Enrolled

Overview

What you will master with us:

Gain a comprehensive understanding of Artificial Intelligence (AI)
Understand the history of AI, its five domains & significance of Artificial Intelligence Foundation course
Learn essential Machine Learning concepts including objective functions & optimizers
Enhance Python skills by focusing on Deep Learning & covering programming basics
Master TensorFlow 2.0 & Keras for Deep Learning

Learning Objectives

After the course concludes, you will be able to:

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

The prerequisites to apply for the Artificial Intelligence Foundation Course are as follows:

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 Trainers

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction and ethics.

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 AI Foundation Course is an entry-level training designed for individuals to gain fundamental knowledge of AI and its various applications across industries. The participant of our course will get massive benefits such as:

1) Lucrative career prospects
2) Master key AI concepts
3) Enhancing New Skill Set

The Artificial Intelligence Foundation Course is ideal for professionals and individuals who want to start their careers in the field of AI. 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. They are required to have a basic knowledge of mathematics and programming concepts.

The eligibility criteria required for the AI Foundation Training Course, before the individuals can enrol are as follows:

1) Basic understanding of programming concepts such as variables, data types, functions, loops, and conditional statements
2) Familiarity with machine learning concepts such as supervised and unsupervised learning, decision trees, and neural networks
3) A solid understanding of data structures and algorithms is essential to working with large datasets and optimizing algorithms for AI models

Participants of our foundation course in AI will learn various skills during the training sessions. Some of the skills that they learn are as follows:

1) Gain complete knowledge of machine learning techniques
2) Learn about different Neural Networks
3) Understand how artificial intelligence can be implemented in real-time
4) Learn to utilize computer vision tool

Artificial Intelligence is a lucrative field with job growth of 22% as per the U.S Bureau of Labor Statistics. Roles in this discipline are very niche, requiring both an advanced technical background and extensive hands-on experience. Apart from offering demanding positions in top-notch organisations, this career path for professionals also assures expressive salary packages across the globe.

The UAE has increased its focus on the adoption of advanced technologies. With this initiative, the UAE aims to become the world leader in AI by 2031 and expand the use of AI across sectors like education, energy, transportation, etc. This has opened the doors for individuals to enrol more in the AI courses in Dubai and earn more job opportunities.

Today, Artificial Intelligence has conquered almost every industry. This course helps you to remain relevant and gain expertise in this emerging technology, build a solid AI career and get the best artificial intelligence engineer positions in leading organizations in not just UAE but all over the world.

Yes. A beginner can apply to our certification training and learn about AI. Our course helps the individual to build a foundation in this domain. Having a basic knowledge of mathematics and programming concepts helps them to learn easily.

Yes, Learners Point Academy provides blended training sessions for individuals. You can select from online or offline learning experiences. This is completely up to the participant of our course so that they can balance their work and attend our course.

After completing our course in AI, several career opportunities are opened for the participant. There are several highest-paying job roles available. Some of them are as follows:

1) AI Product Managers
2) AI Architect
3) AI Research Scientist
4) AI Programmer
5) AI Lead Data Scientist
6) Head of AI Analytics