Artificial Intelligence Training

Artificial Intelligence

Artificial Intelligence Training

Master Artificial Intelligence with Industry Experts

Welcome to the ultimate Artificial Intelligence (AI) learning experience designed for aspiring professionals, students, and tech enthusiasts! Dive into the world of AI and learn from the best in the industry through our comprehensive curriculum, hands-on training, and real-world projects.


Why Choose Our AI Course?
  • Expert-Led Training: Learn from industry professionals with years of experience in AI and machine learning.
  • Interactive Live Classes: Join online live sessions and interact with mentors for real-time guidance.
  • Hands-On Projects: Work on real-time industry projects to build practical knowledge and confidence.
  • Placement Assistance: Get personalized career support and job placement opportunities with top organizations.
  • Internship Opportunities: Gain valuable work experience with internships on cutting-edge AI projects.
  • Certification: Receive a globally recognized certification to boost your professional credentials.
  • Free Trial Class: Experience the quality of our training before committing to the full course.

Course Overview

Our Artificial Intelligence course is designed to provide an in-depth understanding of AI concepts, tools, and applications. Whether you are a beginner or an experienced professional, this course caters to all levels of expertise.

Course Highlights
  • Mode: 100% Online Live Classes
  • Certification: Industry-Recognized Certificate upon Completion
  • Tools Covered: TensorFlow, PyTorch, Scikit-learn, NLTK, and more
  • Projects: Real-time projects in healthcare, finance, retail, and other domains

Key Features

  • Flexible Learning: Attend classes at your convenience.
  • Personalized Support: One-on-one mentoring and doubt-solving sessions.
  • Networking Opportunities: Connect with peers and industry professionals.
  • Access to Resources: Lifetime access to course materials, recorded sessions, and assignments.

Attend a Free Trial Class

Still unsure? Sign up for a FREE TRIAL CLASS to experience our teaching methodology and see how we can help you achieve your career goals.


Placement Assistance

We are committed to helping you succeed. Our dedicated placement team will:

  • Provide resume-building and interview preparation support.
  • Connect you with hiring partners in top organizations.
  • Help you secure high-paying AI roles.

Internship Opportunities

Gain hands-on experience with internships on real-time projects. Work alongside industry experts to solve real-world problems and build a portfolio that stands out.


Enroll Today!

p>Don’t miss the chance to master AI and transform your career. Limited seats available!
Click the button below to enroll now and begin your AI journey.

Module 1: Introduction to Data Science

  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types

Module 2: Introduction to Python

  • What is Python?
  • Why Python?
  • Installing Python
  • Python IDEs

Module 3: Python Basics

  • Python Basic Data types
  • Lists
  • Slicing
  • IF statements
  • Loops
  • Dictionaries
  • Tuples
  • Functions
  • Array
  • Selection by position & Labels

Module 4: Python Packages

  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library

Module 5: Importing Data

  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to csv file

Module 6: Manipulating Data

  • Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques

Module 7: Statistics Basics

  • Central Tendency
  • Probability Basics
  • Standard Deviation
  • Bias variance Trade off
  • Distance metrics
  • Outlier analysis
  • Missing Value treatment
  • Correlation

Module 8: Error Metrics

  • Classification
  • Regression

Module 9: Machine Learning

  • Supervised Learning
  • Linear Regression
  • Logistic regression

Module 10: Unsupervised Learning

  • K-Means
  • K-Means ++
  • Hierarchical Clustering

Module 11: SVM

  • Support Vectors
  • Hyperplanes
  • 2-D Case
  • Linear Hyperplane

Module 12: SVM Kernel

  • Linear
  • Radial
  • polynomial

Module 13: Other Machine Learning algorithms

  • K Nearest Neighbour
  • Naïve Bayes Classifier
  • Decision Tree CART
  • Decision Tree C50
  • Random Forest

Module 14: ARTIFICIAL INTELLIGENCE

  • Perceptron
  • Multi-Layer perceptron
  • Markov Decision Process
  • Logical Agent & First Order Logic
  • AL Applications

Module 15: Deep Learning Algorithms

  • CNN Convolutional Neural Network
  • RNN Recurrent Neural Network
  • ANN Artificial Neural Network

Module 16: Introduction to NLP

  • Text Pre-processing
  • Noise Removal
  • Lexicon Normalization
  • Lemmatization
  • Stemming
  • Object Standardization

Module 17: Text to Features

  • Syntactical Parsing
  • Dependency Grammar
  • Part of Speech Tagging
  • Entity Parsing
  • Named Entity Recognition
  • Topic Modelling
  • N Grams
  • TF IDF
  • Frequency / Density Features
  • Word Embedding

Module 18: Tasks of NLP

  • Text Classification
  • Text Matching
  • Levenshtein Distance
  • Phonetic Matching
  • Flexible String Matching



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