Why choose JNtech Networks for Artificial Intelligence?


Artificial Intelligence is sometimes the machine intelligence, which is in demonstrated by the machines in place of human and animals. In this, a system is made to perform specific goals, which defines the correct interpretation of data and adaptation to perform the specific task to achieve a goal.

JNtech Networks is one of the leading institutions, providing artificial intelligence training at the best level. Artificial intelligence provides the sharp career path to the students, which may take a sweep at a sharp rise. The trainers are highly skilled and have many years of experience in the same field.

Artificial intelligence has great career opportunities in present as well as in the future. As the industries are shifting to automation and artificial intelligence, it may lead to many career options for the candidates seeking their career in artificial intelligence.

We are having the 24*7 lab facilities and the students used to works on the live projects during the Artificial Intelligence training session.

Why should you take up an Artificial Intelligence full course?

Nowadays, Artificial Intelligence has controlled almost every industry. Machine Learning, especially Deep Learning, which is the most important aspect of Artificial intelligence, is used from AI-powered recommender systems and search engines for online movie recommendations. Thus, to persist relevantly and gain expertise in this emerging technology, enroll in JNtech Networks AI Course.

Search the fascinating and fast-moving field of AI learning course. Analysis AI by learning predictive analytics, natural language processing, reinforcement learning, deep neural networks, image processing, the human brain, and more today. We will assist you to develop a solid AI career and get the best artificial intelligence engineer positions in leading organizations.

What will you grab in the Artificial Intelligence course?

The main reason for an artificial intelligence course is to get up to date with all aspects of AI so that you can start your career as an artificial intelligence engineer. Here are some topics that you will learn in the program are:

  • Basics of Deep Learning techniques
  • Understanding artificial neural networks
  • Convolutional neural networks and their applications
  • Supervised and unsupervised learning methods
  • Training a neural network using the training data
  • Machine Learning using Python
  • TensorFlow and Tensor processing units
  • Demand for proper Learning in image recognition, NLP, etc.
  • Real-world projects in recommender systems, etc.

Online AI learning course

The area of Artificial Intelligence and machine learning algorithms enclose computer science, python code, math, psychology, machine learning, neuroscience, natural language processing, data science, and many other disciplines. An artificial intelligence full course is the best place to begin as it will give you an overview of the components and bring you up to speed on the AI research and developments to date. You must gain hands-on experience with the AI programming of intelligent agents such as search algorithms, games, and logic problems. Study about some examples of AI in use today such as self-driving cars, facial recognition systems, military drones, and natural language processors. You can learn from outstanding academicians in the field of Artificial Intelligence and Machine Learning and several experienced industry practitioners from top companies.

Move further with these courses in Robotics, Data Science, and Machine Intelligence. Study the basics of how robots operate, including how to appear for 2D and 3D spatial relationships, how to operate robotic arms, and plan end-to-end AI robot systems. In Machine Intelligence, search unsupervised learning techniques for data modeling and analysis including data clustering, reinforcement learning, computer vision, problem-solving, machine learning algorithms, data mining, speech recognition matrix factorization, and sequential models for order-dependent data.

Begin with Artificial Technology and obtain an overview of this exciting field. When you do know the basic computer science and AI programming languages, it will be valuable to take an introductory class to learn Python, Data Science, or another programming language commonly used in data analysis.

Explore a Career in Artificial Intelligence

Assist to develop the future with an exciting career in the fast-growing field of artificial intelligence. Most companies like digital marketing and social media professionals are relying on deep learning methods and AI algorithms to make business decisions and their business applications better. If you like mathematics, computer science and data analysis, python programming, linear regression, and more then enroll and start learning about the applications of artificial neural networks and how you can assist them to move forward.

To meet today’s demand and need for data analysts and AI experts, JNtech Networks provide the best artificial intelligence course. JNtech Networks familiarises you with the basic terminologies, problem-solving, and learning methods of AI and also discusses the impact of AI. We have valuable courses to assist advance your career at your own pace. 


Training Modes

Instructor Led Training/Online Training

Classroom Training

On Demand Training

Training Schedule For Artificial Intelligence (AI) Course (Regular)


Upcoming Batch

February 2024

15th February 2024

Training Schedule For Artificial Intelligence (AI) Course (Weekend)


Upcoming Batch

February 2024

20th February 2024

Artificial Intelligence Course Duration

Duration Course

3 Month


As per candidate schedule

Fee of Artificial Intelligence Course

FeeIndian StudentsInternational Students
Course FeeRs. 20000 INR$350 USD


You need to have CCNA Enterprise Infrastructure OR CCNP as prerequisite.

Artificial Intelligence Course Outline/Syllabus

  • Basic Concept of Artificial Intelligence
  • The Necessity of Learning AI
  • What is Intelligence?
  • What is Intelligence Composed Of?
  • Learning − l
  • What’s Involved in AI
  • Application of AI
  • Cognitive Modeling: Simulating Human Thinking Procedure
  • Agent & Environment
  • Why Python for AI
  • Features of Python
  • Installing Python
  • Setting up PATH
  • Running Python
  • Script from the Command-line
  • Integrated Development Environment
  • Types of Machine Learning (ML)
  • Most Common Machine Learning Algorithms
  • AI with Python
  • Preprocessing the Data
  • Techniques for Data Preprocessing
  • Labeling the Data
  • Steps for Building a Classifier in Python
  • Building Classifier in Python
  • Logistic Regression
  • Decision Tree Classifier
  • Random Forest Classifier
  • Performance of a classifier
  • Class Imbalance Problem
  • Ensemble Techniques
  • How to Solve Problems with Logic Programming
  • Installing Useful Packages
  • Examples of Logic Programming
  • Checking for Prime Numbers
  • Solving Puzzles
  • What is Clustering?
  • Algorithms for Clustering the Data
  • Measuring the Clustering Performance
  • Calculating Silhouette Score
  • Finding Nearest Neighbors
  • K-Nearest Neighbors Classifier
  • AI with Python
  • Components of NLP
  • Difficulties in NLU
  • NLP Terminology
  • Steps in NLP
  • Importing NLTK
  • Downloading NLTK’s Data
  • Installing Other Necessary Packages
  • Concept of Tokenization, Stemming, and Lemmatization
  • Chunking: Dividing Data into Chunks
  • Types of chunking
  • Bag of Word (BoW) Model
  • Concept of the Statistics
  • Building a Bag of Words Model in NLTK
  • Solving Problems
  • Topic Modeling: Identifying Patterns in Text Data
  • Algorithms for Topic Modeling
  • Introduction
  • Installing Useful Packages
  • Pandas: Handling, Slicing and
  • Extracting Statistic from Time Series Data
  • Extracting Statistic from Time Series Data
  • Analyzing Sequential Data by Hidden Markov Model (HMM)
  • Example: Analysis of Stock Market data
  • Building a Speech Recognizer
  • Visualizing Audio Signals – Reading from a File and Working on it
  • AI with Python
  • Characterizing the Audio Signal: Transforming to Frequency Domain
  • Generating Monotone Audio Signal
  • Feature Extraction from Speech
  • Recognition of Spoken Words
  • Concept of Heuristic Search in AI
  • Difference between Uninformed and Informed Search
  • Real World Problem Solved by Constraint Satisfaction
  • Search Algorithms
  • Combinational Search
  • Minimax Algorithm
  • Alpha-Beta Pruning
  • Negamax Algorithm
  • Building Bots to Play Games
  • A Bot to Play Last Coin Standing
  • A Bot to Play Tic Tac Toe
  • What is Artificial Neural Networks (ANN)
  • Installing Useful Packages
  • Building Neural Networks
  • Perceptron based Classifier
  • Single – Layer Neural Networks
  • Multi-Layer Neural Networks
  • Basics of Reinforcement Learning
  • Building Blocks: Environment and Agent
  • Constructing an Environment with Python
  • AI with Python
  • vi
  • Constructing a learning agent with Python
  • What are Genetic Algorithms?
  • How to Use GA for Optimization Problems?
  • Installing Necessary Packages
  • Implementing Solutions using Genetic Algorithms
  • Computer Vision
  • Computer Vision Vs Image Processing
  • Installing Useful Packages
  • Reading, Writing and Displaying an Image
  • Color Space Conversion
  • Edge Detection
  • Face Detection
  • Eye Detection
  • Machine Learning v/s Deep Learning
  • Convolutional Neural Network (CNN)
  • Installing Useful Python Packages
  • Building Linear Regressor using ANN
  • Image Classifier: An Application of Deep Learning