Artificial Intelligence Expert

Artificial Intelligence is an opportunity. Every organization is in an effort to leverage the possibilities.

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Course Objectives

Given the successful completion of the course, you will be equipped with the following:

  • Artificial Intelligence -an Overview 
  • Statistics
  • Incorporation of Artificial Intelligence and Machine Learning into the business
  • Helps to lead forward in the Data Science career trajectory  

Course Module

  • Introduction to Artificial Intelligence (AI)
  • AI Data Strategy
  • AI Ethics, Issues and Concerns
  • AI Challenges
  • Use Cases, and Adaption

  • Data Science and ML Introduction
  • Mathematics for ML
  • Learning Methods
  • Popular ML Algorithms
  • Building Classification Models
  • Building Regression Models
  • Beyond Machine Learning

  • Tensorflow Introduction 
  • Tensorflow Basic Concepts
  • Installation and Basic Operations In TF 2.X 
  • TF 2.0 Eager Mode 
  • Tensorflow 2.X - Keras

  • Core Learning Algorithms Introduction
  • Regression with Tensorflow
  • Classification with Tensorflow

  • Structure of Neural Networks
  • Neural Network - Core Concepts
  • Feed Forward Algorithm
  • Backpropagation
  • Building Neural Network from scratch using Numpy

  • Introduction to Neural Networks with Tf2.X
  • Simple Deep Learning Model in Keras (Tf2.X)
  • Building Neural Network
  • Model in Tf 2.0 for Mnist Dataset

  • Convolutional Neural Networks (CNNs) Introduction Cnnswith Keras
  • Transfer Learning In CNN, Style Transfer
  • Flowers Dataset With Tf2.X
  • Examining X-Ray With CNN Model

  • RNN Introduction 
  • Sequences with RNNs
  • Long Short-Term
  • Memory Networks (LSTM RNNs) and Gru
  • Examples Of RNN Applications

  • Natural Language Processing Introduction
  • NLP With RNNs
  • Creating Model
  • Transformers and BERT
  • State of art NLP and Projects

  • Markov Decision Process
  • Fundamental Equations in RL
  • Model-Based Method
  • Dynamic Programming Model Free Methods

  • Architectures Of Deep Q Learning
  • Deep Q Learning
  • Policy Gradient Methods
  • Actor-Critic Methods

  • GAN Introduction
  • Core Concepts Of GAN
  • Building GAN Model With Tensorflow 2.X, GAN Applications

  • Amazon Web Services (AWS)
  • Deploying Deep Learning Models Using AWS Sagemaker

Learning Approch

  • Designed with a focus on real world relevance
  • Real-world case studies
  • Hands-on Assignments
  • Individualized Instructor
  • Career Guidance

Certification (LP Certificate)

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

Certification (KHDA)

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.

Expert Instructors & Teaching Methods


We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts from 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. 




Learners Experience

Frequently Asked Questions

Our trainings are mostly instructor led and classroom based. However, we also offer high quality live and interactive online sessions.

Our highly skilled faculties from around the globe are experts in their fields and come with decades of diverse industry experience. Our trainers are internationally recognized and locally preferred with rich research driven experience which will ensure highly customizable, engaging and top in the class learning experience.

Choosing LearnersPoint is true value for money as our trainings are right blend of theory and practice and specially developed keeping tomorrow's business needs in mind. All the training sessions are closely monitored through specially designed progress tracker to ensure reinforced and unparalleled learning experience.

Once you have registered for a course and wish to not to proceed with the training for any reason, you are entitled for a refund of the fees provided we are notified in writing within 2 days from the date of initial registration before the training commencement. The refunds are processed within 4 weeks from the day of withdrawal.