Artificial Intelligence Foundation

Artificial Intelligence is the new science of the century. The characteristic features governing the human mind, being evident in machines,

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Course Objectives

The AI foundation course ensures that an individual is well equipped in the following areas:

  • Machine Learning Primer
  • Advanced Python for Deep Learning
  • Mathematics for Deep Learning 
  • Tensorflow for Deep Learning  
  • Deep Learning Foundation

Course Module

  • 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 simple Deep Learning Network
  •  Tuning Deep Learning Network 

Learning Approch

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

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

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Our Trainer

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. 

 

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Our Trainer

Learners Experience

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Jacob c :University student

The course design is excellent specially for beginners to study and understand the basic concepts in Artificial Intelligence. The lessons and course material are perfect and apt for this course-level

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Azmy Adil :Artificial Intelligence Foundation

“I am thankful to our artificial intelligence course Trainer for developing new skills at ease. My learning journey with him was outstanding. Learners Point provides us the best in-class labs and course materials. If you are looking to upskill, then must choose Learners Point Training Institute.

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Jacob c :University student

The course design is excellent specially for beginners to study and understand the basic concepts in Artificial Intelligence. The lessons and course material are perfect and apt for this course-level

img
Azmy Adil :Artificial Intelligence Foundation

“I am thankful to our artificial intelligence course Trainer for developing new skills at ease. My learning journey with him was outstanding. Learners Point provides us the best in-class labs and course materials. If you are looking to upskill, then must choose Learners Point Training Institute.

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.