HRD Corp Claimable Artificial Intelligence and Machine Learning Training

Enrolled: 1198 students
Duration: 3 days
Video: Remote / Physical Training
Level: All Level


Working hours

Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed
HRD Corp Claimable Artificial Intelligence and Machine Learning Training

HRD Corp Claimable Artificial Intelligence and Machine Learning Training

The primary goal of Artificial Intelligence (AI) research is to develop intelligent computers that are on par with humans in terms of their level of intelligence. Machine learning, sometimes known as ML, is a subfield of Artificial Intelligence that gives AI the ability to teach itself new things, develop itself, and come to its own conclusions with just minimum assistance from humans. Artificial intelligence and machine learning are now considered mainstream business tools because of their ability to help companies raise revenue, improve productivity, save costs, and enhance the quality of their interactions with customers.

REASONS WHY YOU SHOULD CHOOSE HRD Corp Claimable Artificial Intelligence and Machine Learning Training

  • Learn how to apply knowledge relevant to your industry in the areas of machine learning and artificial intelligence (AI)
  • Develop your existing skills to better instruct intelligent machines.
  • Automation of normal procedures enables an improvement in productivity as well as significant time and financial savings.
  • Familiarity with the various application domains of AI as well as the individual subdomains within Artificial Intelligence


In this Introduction to Artificial Intelligence Training course, there are no formal requirements.


The Training Course on an Introduction to Artificial Intelligence is Suitable for Anyone Who Is Interested in Gaining an In-Depth Knowledge of Artificial Intelligence Anyone Who Is Interested in Gaining an In-Depth Knowledge of Artificial Intellig However, this course will be more valuable for Technical and Non-Technical Professionals out there.

A Brief Overview of the Introduction to Artificial Intelligence Course
Artificial Intelligence (AI) is a series of techniques in which the basic algorithms are implemented in power structures such as fuzzy logic systems, artificial neural networks, colony optimisation, genetic algorithm, particle swarm optimisation, simulated annealing, and evolutionary computing. This is accomplished by conducting research on the way the human brain works when confronted with a challenge and then applying the findings to the creation of intelligent software and systems. AI is a field that is actively and continuously expanding and changing. Participation in this training course will assist individuals in improving their abilities to the level necessary to become successful AI professionals. Individuals will be able to acquire the mastery of AI applications, machine learning, and natural language processing that is required to flourish in this field and get a head start on a career in artificial intelligence through the completion of this course.

In this 3-days Introduction to Artificial Intelligence Training session, delegates will get to know about various functions, features, and purposes of Artificial Intelligence. They will learn about numerous concepts such as machine learning in ANN’s, artificial neural networks, Natural Language Processing (NLP), types of agents, agent’s nomenclature, and more. They will have an understanding of the significant function that Artificial Intelligence plays in a variety of disciplines like medicine, commerce, education, finance, the legal system, and manufacturing. In addition, delegates will learn about the benefits and drawbacks of AI systems that are based on machine learning, as well as different machine learning methods and algorithms, such as supervised, unsupervised, and semi-supervised machine learning. This information will assist them in improving their abilities to work with AI.

This course will cover a variety of fundamental ideas, including the following:

  • What exactly is meant by the term “artificial intelligence” (AI)?
  • AI’s Various Fields of Application
  • Artificial intelligence and the subjects that are connected to it
  • Learning through machines is the cornerstone of AI.
  • Rationality as a conceptual framework
  • Fuzzy logic systems
  • An introduction to robotics
  • The processing of natural languages (NLP)

Participants in this Introduction to Artificial Intelligence Training course will be able to work with fuzzy logic systems and machine learning technologies once the course has come to a successful conclusion. With the assistance of artificial intelligence, they are able to automate the grading process in the education sector and provide students with additional support in the form of AI tutors. They may also be able to apply AI automation within business sectors for jobs that are repetitive in nature and are typically performed by people.

Following the conclusion of this training course on the fundamentals of artificial intelligence, delegates will have access to The HRD Corp Claimable Artificial Intelligence and Machine Learning Training’s extensive catalog of courses ranging from artificial intelligence to machine learning.


HRD Corp Claimable Artificial Intelligence and Machine Learning Training Course Outline
What is AI?

Module 1: AIĀ 

Module 2: AI ApplicationsĀ 

  • Medical AI
  • Educational AI
  • Finance and AI
  • Legal AI
  • Industrial AI

AI Module 3: Parental Disciplines

  • Planning for AI Search Pattern Recognition
  • Epistemology
  • Ontology

Module 4: Machine Learning

  • AI’s roots
  • Machine-learning-based AI strengths and limitations
  • Supervised MLA
  • Unsupervised MLA
  • Semi-supervised ML
  • Learning reinforcement algorithms

Module 5: Agents and environments

  • Terminology Agents
  • Agents’ structure
  • Agencies
  • Ecology
  • Environment properties

Module 6: Rationality

  • Rationality
  • Agents rational

Module 7: Fuzzy Logic

  • Fuzzy-logic
  • Fuzzy logic’s purpose
  • FLS Architecture (FLS)
  • Fuzzy-logic applications
  • Fuzzy logic benefits

Module 8: Robotics

Module 9: Natural Language Processing

  • NLP Parts

Module 10: NLP Neural Networks

  • A.N.N.
  • Neural Networks
  • ANN types
  • How ANNs work


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