Certified Artificial Intelligence (AI) Professional

How It Works

  1. 1. Select Certification & Register
  2. 2. Receive Online e-Learning Access (LMS)
  3. 3. Take exam online anywhere, anytime
  4. 4. Get certified & Increase Employability

Test Details

  • Duration: 60 minutes
  • No. of questions: 50
  • Maximum marks: 50, Passing marks: 25 (50%).
  • There is NO negative marking in this module.
  • Online exam.

Benefits of Certification


$49.00 /-

Artificial Intelligence (AI) refers to the ability of machines and computer systems to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, language understanding, and decision-making. By analyzing large amounts of data and recognizing patterns, AI systems can improve their performance over time.

This is a comprehensive beginner-to-intermediate course covering the foundational concepts and practical techniques in artificial intelligence (AI) and machine learning (ML). It combines theory with hands-on Python examples to help learners build real-world AI applications. The course starts with core AI principles and how AI solves real problems, then progresses through search algorithms, game AI, regression and classification methods, trees and clustering techniques, and finishes with neural networks and deep learning using tools like TensorFlow.

Note: You will receive online access to e-learning (videos), hard copy material is not applicable to this course.

Suggested Certifications

Why should you take Artificial Intelligence Certification?

Artificial Intelligence certification helps validate your skills, boosts career opportunities, and keeps you relevant in a rapidly evolving job market. It provides structured learning of in-demand AI concepts and tools, enhances professional credibility, and enables you to apply AI solutions across multiple industries, giving you a competitive edge.

Who will benefit from taking Artificial Intelligence Certification?

Artificial Intelligence certification benefits students, working professionals, software developers, data analysts, and IT professionals who want to build or enhance skills in AI. It is also valuable for managers, entrepreneurs, and domain experts seeking to understand and apply AI-driven solutions to improve decision-making, innovation, and career growth.

Artificial Intelligence Table of Contents

https://www.vskills.in/certification/artificial-intelligence-table-of-contents

Artificial Intelligence Practice Test

https://www.vskills.in/practice/artificial-intelligence

Artificial Intelligence Sample Questions

https://www.vskills.in/certification/artificial-intelligence-sample-questions

Artificial Intelligence Interview Questions

https://www.vskills.in/interview-questions/data-science-interview-questions/artificial-intelligence-interview-questions

Artificial Intelligence Tutorials

https://www.vskills.in/certification/tutorial/certified-artificial-intelligence-professional/

Companies that hire Artificial Intelligence Professionals

Artificial Intelligence professionals are in great demand. It is the most popular core research techniques in computer science. Companies like Accenture, KPMG, Amazon, IBM, Ericsson and Wipro etc specializing in Data Science are constantly looking for certified professionals in Artificial Intelligence.

Artificial Intelligence Blogs

Checkout the latest online blogs on Artificial Intelligence.

Artificial Intelligence Jobs

Checkout the various job openings for Artificial Intelligence Professionals, click here..

Artificial Intelligence Internships

Vskills runs its flagship internship programme where bright interns work with academic council, click to know more details..

Apply for Artificial Intelligence Professional Certification

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TABLE OF CONTENT


Chapter 1 : Principles of Artificial Intelligence

  • Course Overview
  • Installation and Setup
  • Lesson Overview
  • Introduction to AI and Machine Learning
  • How Does AI Solve Real World Problems?
  • Fields and Applications of Artificial Intelligence
  • AI Tools and Learning Models
  • The Role of Python in Artificial Intelligence
  • A Brief Introduction to the NumPy Library
  • Python for Game AI
  • Breadth First Search and Depth First Search
  • Lesson Summary

Chapter 2 : AI with Search Techniques and Games

  • Lesson Overview
  • Heuristics
  • Tic-Tac-Toe
  • Pathfinding with the A* Algorithm
  • Introducing the A* Algorithm
  • Game AI with the Minmax Algorithm
  • Game AI with Alpha-Beta Pruning
  • Lesson Summary

Chapter 3 : Regression

  • Lesson Overview
  • Linear Regression with One Variable
  • Fitting a Model on Data with scikit-learn
  • Linear Regression with Multiple Variables
  • Preparing Data for Protection
  • Polynomial and Support Vector Regression
  • Lesson Summary

Chapter 4 : Classification

  • Lesson Overview
  • The Fundamentals of Classification Part 1
  • The Fundamentals of Classification Part 2
  • The k-nearest neighbor Classifier
  • Classification with Support Vector Machines
  • Lesson Summary

Chapter 5 : Using Trees for Predictive Analysis

  • Lesson Overview
  • Introduction to Decision Trees
  • Entropy
  • Gini Impurity
  • Precision and Recall
  • Random Forest Classifier
  • Random Forest Classification Using scikit-learn
  • Lesson Summary

Chapter 6 : Clustering

  • Lesson Overview
  • Introduction to Clustering
  • The k-means Algorithm
  • Mean Shift Algorithm
  • Lesson Summary

Chapter 7 : Deep Learning with Neural Networks

  • Lesson Overview
  • TensorFlow for Python
  • Introduction to Neural Networks
  • Forward and Backward Propagation
  • Training the TensorFlow Model
  • Deep Learning
  • Lesson Summary

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