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Besant Technologies Artificial Intelligence Certification Training in Mumbai provides a comprehensive overview of machine Intelligence and how it is integrated with human intelligence and also helps you in becoming a certified Artificial Intelligence engineer. Our Artificial Intelligence course in Mumbai will help you learn all the concepts of AI from basic to advanced level that include Deep Learning, understanding of artificial neural networks, chatbots, perceptrons, Deep Learning algorithms, Tensor Flow, understanding of Machine Learning, knowledge about various Deep Learning libraries, and many more.

Artificial Intelligence Certification Training in Mumbai

A computer is the most efficient and accurate performer in the universe, but here comes the question of thinking ability. Does the computer is a good thinker than a human being? The answer is absolutely no. So here comes the concept called Artificial intelligence.

The word “Artificial Intelligence” is known by not only a tech expert but even a child knows about it well. It is a kind of technology that is changing the landscape of today’s world. Machine learning is the subfield of Artificial intelligence. AI has entered as a huge barrier to many businesses primarily to solve the difficulties and generate better outcomes by deploying AI systems. Although artificial intelligence has a troubled time in performing the common sense tasks of the real world, it is proficient at processing huge data and provides way too quickly than a human brain ever could.

This way, humans started executing artificial intelligence wherever it is possible to streamline the decision-making process more accurate and agile. Furthermore, Artificial intelligence helps businesses understand the behavioral pattern of the users and detect which strategies can be implemented to convert a user into a customer. Besant technologies’ Artificial Intelligence training in Mumbai will help you gain an in-depth understanding of all the emerging trends and key applications of Machine Intelligence to build your lucrative career.

What are the objectives of the Artificial Intelligence Course in Mumbai?

The Artificial Intelligence certification course in Mumbai by Besant technologies is designed to enhance your skills in Machine Intelligence for providing an excellent simulation of human intelligence by machines called computer systems. During the course period, our trainers will help you gain an understanding of the following:

  • Gain expertise in Artificial Intelligence and its key features.
  • Understanding of specific applications of Artificial Intelligence.
  • Gain in-depth knowledge of speech recognition.
  • Master in Deep Learning techniques and algorithms.
  • How Deep Learning techniques are relevant for Machine Learning.
  • Master TensorFlow concepts, operations, and functions.
  • Understanding of the Graphical Processing unit (GPUs).
  • Expertise in Deep Neural Networks (DNNs) and its Building blocks

Who should prefer this Artificial Intelligence Certification course in Mumbai?

The Artificial Intelligence training in Mumbai is best suited for the following:

  • Data scientists
  • Professionals in data analytics
  • Information architects
  • Developers who want to build their career as an AI engineer
  • Aspirants who are interested in building their career in Machine Intelligence
  • Software professionals who want to jump or shift in their present careers.
  • Analytics managers.

Why should you prefer Artificial Intelligence training in Mumbai?

  • AI is the booming technology, it is going to be the future now, as it is going to integrate human intelligence with Machine intelligence to come up with better and successful outcomes in various businesses and organizations across the world.
  • Most of the experts believe that Artificial Intelligence is going to rule the world and most of the machines will have reached their capability up to the level of Human Intelligence by 2050.
  • As of the AI economy, 25% of the job-based tasks will all be automated in 2020.
  • 85% of the customer interactions have no more need for human customer services by the end of the decade.
  • Industries such as Health, Automotive, Space, and many more are relying on AI for better outcomes in performing any kind of operations.

What are the prerequisites for the Artificial Intelligence certification course in Mumbai?

There are no specific prerequisites for this Artificial Intelligence training. Anyone can learn this technology regardless of their prior skills. Moreover, no programming skills are required to learn this course.

What skills will you learn in Artificial Intelligence training in Mumbai?

Our Artificial Intelligence Certification Course in Mumbai will help you gain an in-depth understanding of the following skills and fundamentals.

  • Introduction to Artificial Intelligence
  • Gain in-depth knowledge of expert systems.
  • Master fundamental concepts of Deep Learning and how Deep Learning algorithms are related to Machine Learning.
  • Understanding of various Deep Learning techniques.
  • Gain expertise in Neural Networking and its applications.
  • Gain deep insights into Natural Language Processing (NLP).
  • Various applications of Deep Learning.
  • Understanding of Image Recognition and Speech Recognition.
  • How to integrate Human Intelligence with Machine Intelligence.
  • Understanding of various TensorFlow concepts.

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Artificial Intelligence Course in Mumbai Syllabus

Module 1: Introduction to Data Science (Duration-1hr)

  • 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 (Duration-1hr)

  • What is Python?
  • Why Python?
  • Installing Python
  • Python IDEs
  • Jupyter Notebook Overview

Module 3: Python Basics (Duration-5hrs)

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

Module 4: Python Packages (Duration-2hrs)

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

Module 5: Importing Data (Duration-1hr)

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

Module 6: Manipulating Data (Duration-1hr)

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

Module 7: Statistics Basics (Duration-11hrs)

  • Central Tendency
    • Mean
    • Median
    • Mode
    • Skewness
    • Normal Distribution
  •  Probability Basics
    • What does mean by probability?
    • Types of Probability
    • ODDS Ratio?
  • Standard Deviation
    • Data deviation & distribution
    • Variance
  •  Bias variance Trade off
    • Underfitting
    • Overfitting
  • Distance metrics
    • Euclidean Distance
    • Manhattan Distance
  • Outlier analysis
    • What is an Outlier?
    • Inter Quartile Range
    • Box & whisker plot
    • Upper Whisker
    • Lower Whisker
    • Scatter plot
    • Cook’s Distance
  • Missing Value treatment
    • What is a NA?
    • Central Imputation
    • KNN imputation
    • Dummification
  • Correlation
    • Pearson correlation
    • ositive & Negative correlation

Module 8: Error Metrics (Duration-3hrs)

  • Classification
    • Confusion Matrix
    • Precision
    • Recall
    • Specificity
    • F1 Score
  • Regression
    • MSE
    • RMSE
    • MAPE

Module 9: Machine Learning

Supervised Learning (Duration-6hrs)

  • Linear Regression
    • Linear Equation
    • Slope
    • Intercept
    • R square value
  • Logistic regression
    • ODDS ratio
    • Probability of success
    • Probability of failure Bias Variance Tradeoff
    • ROC curve
    • Bias Variance Tradeoff

Unsupervised Learning (Duration-4hrs)

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

SVM (Duration-2hrs)

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

SVM Kernal (Duration-2hrs)

  • Linear
  • Radial
  • polynomial

Other Machine Learning algorithms (Duration-10hrs)

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


AI Introduction (Duration-9hrs)

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

Module 11:  Deep Learning Algorithms (Duration-10hrs)

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

Introduction to NLP (Duration-5hrs)

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

Text to Features (Feature Engineering) (Duration-5hrs)

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

Tasks of NLP (Duration-2hrs)

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

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Upcoming Batch Schedule for Artificial Intelligence Training in Mumbai

Besant Technologies provides flexible timings to all our students. Here is the Artificial Intelligence Training in Mumbai Batch Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

  • 27-05-2024 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
  • 30-05-2024 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
  • 25-05-2024 Sat (Sat - Sun)Weekend Batch 11:00 AM (IST) (Class 3Hrs) / Per Session Get Fees
Artificial Intelligence Course in Mumbai

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Trainer Profile of Artificial Intelligence Training in Mumbai

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.

  • More than 7+ Years of Experience.
  • Trained more than 2000+ students in a year.
  • Strong Theoretical & Practical Knowledge.
  • Certified Professionals with High Grade.
  • Well connected with Hiring HRs in multinational companies.
  • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • Trainers have Experienced on multiple real-time projects in their Industries.
  • Our Trainers are working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc

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Artificial Intelligence Course in Mumbai

Artificial Intelligence Exams & Certification

Besant Technologies Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our certification at Besant Technologies is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.

Artificial Intelligence Course in Mumbai

Group Discount

If you have Three or more people in your training we will be delighted to offer you a group discount.

Key Features of Artificial Intelligence Training

30+ Hours Course Duration

100% Job Oriented Training

Industry Expert Faculties

Free Demo Class Available

Completed 800+ Batches

Certification Guidance

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Training Courses Reviews

I completed Artificial Intelligence Training in Mumbai in Besant Technologies, Besant Technologies has provided me better training and infrastructure. My trainer is a real-time consultant and the training given by him is really Fabulous. I had a great time with Besant Technologies thanks to everyone.



I have attended Artificial Intelligence Training in Mumbai at Besant Technologies. Mr.Karthick Knew what he was teaching and made the class really interesting. I would recommend Mr.Karthick to the ones who are seeking excellent knowledge of Artificial Intelligence. Mr.karthick has hands-on experience in it, he cleared all my doubts. Thanks, Besant Technologies!



I did my Artificial Intelligence Training in Mumbai, Besant Technologies. The best training is given by my Trainer and now selected MNC Company. So I recommend the Besant Technologies training institute for Bright future.



Frequently Asked Questions

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Besant Technologies offers 250+ IT training courses in more than 20+ branches all over India with 10+ years of Experienced Expert level Trainers.

  • Fully hands-on training
  • 30+ hours course duration
  • Industry expert faculties
  • Completed 1500+ batches
  • 100% job oriented training
  • Certification guidance
  • Own course materials
  • Resume editing
  • Interview preparation
  • Affordable fees structure

Besant Technologies is the Legend in offering placement to the students. Please visit our Placed Students List on our website.

  • More than 2000+ students placed in last year.
  • We have a dedicated placement portal which caters to the needs of the students during placements.
  • Besant Technologies conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 92% percent placement record
  • 1000+ interviews organized

  • Our trainers are more than 10+ years of experience in course relavent technologies.
  • Trainers are expert level and fully up-to-date in the subjects they teach because they continue to spend time working on real-world industry applications.
  • Trainers have experienced on multiple real-time projects in their industries.
  • Are working professionals working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies, etc…
  • Trained more than 2000+ students in a year.
  • Strong theoretical & practical knowledge.
  • Are certified professionals with high grade.
  • Are well connected with hiring HRs in multinational companies.

No worries. Besant technologies assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.

Besant Technologies provides many suitable modes of training to the students like

  • Classroom training
  • One to One training
  • Fast track training
  • Live Instructor LED Online training
  • Customized training

You will receive Besant Technologies globally recognized course completion certification.

Yes, Besant Technologies provides group discounts for its training programs. To get more details, visit our website and contact our support team via Call, Email, Live Chat option or drop a Quick Enquiry. Depending on the group size, we offer discounts as per the terms and conditions.

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Job opportunities for Artificial Intelligence

As Artificial Intelligence is impacting the future of every industry and every human being, there is a rise in a huge number of job opportunities based on Deep Learning, Machine Intelligence. Completing AI has evolved into the employee support system as it improves communication, completes tasks faster for better outcomes within less amount of time. AI is becoming more efficient when compared to manual methods, this is resulting in plenty of job opportunities in Mumbai.  There is no need for programming skills to learn Artificial Intelligence, who are interested in pursuing this course can enroll for it. We all know that AI is going to rule the world in the future. So, let’s not wait for the chance, get enrolled in Besant technologies Artificial Intelligence training in Mumbai to build your bright career.

Course Content

Introduction to Deep Learning and Neural Networks

Deep Learning is considered as a mimic of the human brain. It is the branch of Machine Learning that is completed based on Artificial Neural Networks. Most of the times Deep Learning makes use of neural network algorithms. Neural networks are considered as an artificial human nervous system for receiving, processing, and transmitting information in terms of Computer Science. Introduction to Machine learning, need of Deep Learning in Artificial Intelligence, Introduction to Neural Networks and its importance in Artificial Intelligence, How Deep Learning is different from Machine Learning, core concepts of Deep Learning, core topics of Machine Learning, supervised learning and unsupervised learning, key benefits of Machine Learning and Deep learning, Statistics fundamentals, and various methods of Machine Learning.

Deep Learning libraries

Deep Learning libraries are created to provide quality and pre-written code for the users to use for the development of their own projects. Introduction to Deep Learning, need of Deep Learning in Artificial Intelligence, working of Deep Learning, introduction to TensorFlow and its importance as a library, Use of TensorFlow to create, design, and train models of Deep Learning, Understanding of Google’s TensorFlow Processing Unit, Python libraries, Introduction to Theano, understanding of Keras and use-case its implementations, data visualization, PyTorch library operations, prototyping, how Deep Learning libraries help users in understanding the in-built code, advantages of using Deep Learning frameworks and libraries.

GPU in Deep Learning

GPU is abbreviated as Graphical Processing Unit, it is considered as the central unit/heart of the Deep Learning. Graphical Processing Unit acts as a Single chip processor that is mainly used for extending the mathematical and graphical computations. Basic understanding of Deep Learning, Importance of GPU in Deep Learning, how is this Graphical Processing Unit different from Central Processing Unit, Implementation of both CPU and GPU in TensorFlow, why GPU is faster than CPU, bandwidth variations in both GPU and CPU, advantages of GPU over CPU, How GPU helps in training the Deep Learning Networks, and what are the implementations and functions of GPU in Deep Learning.

 Deep Learning Applications

In this section, you will get to a wide variety of Deep Learning applications in various fields. Deep Learning in computer vision, computer games, pattern recognition, self-driving vehicles, Use of Deep Learning in the creation of arts, video analytics, image recognition, speech recognition, Computer hallucinations, predictions, use of Deep Learning in Natural Language Processing, and image processing.

Artificial Neural Networks and Various Methods

Neural networks are considered as an artificial human nervous system for receiving, processing, and transmitting information in terms of Computer Science. These Artificial Neural Networks are inspired by biological neural networks to perform and think the same as that of the human and animal brains. How the tasks are performed in a linear manner using Artificial Neural Networks, how these artificial neural networks will handle the missing data, regression techniques, optimization techniques, gradient descent rule, various methods of artificial neural networks that are used to training, understanding of perceptrons, Neural Network Bias, Activation functions, architectures of artificial neural networks, and understanding of Deep Neural Networks.

Convolutional Neural Networks (CNNs)

Convolutional Neural Networks are considered as a class group of Deep Neural Networks in Deep Learning. These Convolutional Neural Networks are also named as space invariant artificial neural networks. Shift invariant artificial neural networks are used mainly in analyzing visual imagery. Introduction to Deep Learning, understanding of various deep neural networks classes, gain in-depth knowledge about Convolutional Neural Networks, architectures of shift-invariant artificial neural networks and its use cases, pooling layers, implementation and deployment of convolutional neural networks in TensorFlow, and advantages of using convolutional neural networks.

Multi-layered Neural Networks

A multi-layered neural network is defined as a network that consists of more than one layer of artificial nodes or neurons. These networks significantly differ mainly in design. Most of the organizations instead of using single-layer neural networks started using multi-layered neural network models for deploying various applications. In this module, you will get to know in detail about the architecture of the multi-layered neural network, comparison between single-layer neural network and multi-layered neural networks, deployment of multi-layered neural networks in TensorFlow, activation functions in neural networks, hyperbolic functions, understanding of perceptrons in multi-layer neural networks, knowledge about logic gates, and advantages of using multi-layered neural networks.

Recurrent Neural Networks (RNNs)

A Recurrent Neural Network is also considered as a class of Artificial Neural Networks. In this network, the connection between the nodes is established and then after it forms as a directed graph in a temporal sequence. Recurrent neural networks allow users to exhibit the temporal dynamic behavior of the nodes. In this networking sequence, the output of the early step acts as the input for the current step. Introduction to recurrent neural networks, various models of this network, Recurrent neural network use cases, understanding of RNN cell, implementation and deployment of recurrent neural network in TensorFlow, the theory of recursive neural Tensor Network, time-series predictions, various modeling sequences, understanding of unfolded RNN, and advantages of Recurrent Neural Networks.

Keras API

Keras is one of the high-level neural networks API. This API code is written in Python programming and it also has the capability of running on the top of Theano, CNTK and many more. The Keras functional API provides an alternative way of creating models that offer flexibility. Keras library provides an interface for approaching Deep Learning. Composing models using Keras, functional and sequential composition, process customization, and how to deploy Keras with TensorBoard.


A chatbot is software in Artificial Intelligence that is mainly used to arouse the conservation via natural language processing in the form of textual methods. These chatbots are also known as conversational agents and are used for establishing connection or interaction with the real person. In this section, you will get to know the introduction of Chatbots, architecture of chatbot, specifications of chatbots, which type of algorithms are used in chatbots, various chatbot functions, different types of chatbots, how to create a hangouts chatbot, creation of chatbots, understanding in detail about specific concepts of chatbots like entities, context, and intents, NLU algorithms, Open-closed domain bots, and advantages of using chatbots.

TFLearn API for TensorFlow

TFlearn is a library that is built on the top of the TensorFlow. It is a very transparent and modular deep learning library mainly designed to provide high-level API to TensorFlow. In this module, you will learn in detail about how to implement neural networks using TFlearn API, understanding of TensorFlow Deep Learning Library, deployment of TensorBoard, and composing various models.

Autoencoders and Restricted Boltzmann Machine (RBM)

An autoencoder is defined as a type of artificial neural network that is used especially to learn data codings in an unsupervised manner. The main goal of the autoencoder is to learn in detail about the representation of a set of data. Restricted Boltzmann Machine (RBM) is also considered as an inventive stochastic artificial neural network and its main aim is to learn the probability distribution over different input sets, understanding of autoencoders, key features of autoencoders, applications of autoencoders, usage of RBM for collaborative filtering, and deployment of Restricted Boltzmann Machine for deep neural networks.


The whole world is revolving around Artificial intelligence, and it is the trending technology that is transforming many industries globally. Besant technologies offer Artificial Intelligence courses that will empower you to become a skilled AI professional with in-depth knowledge of AI aspects including TensorFlow, Machine learning, Deep learning, and many more. There are many organizations hiring AI certified professionals in the world. So, there is an increased demand for Artificial Intelligence certification in Mumbai. People around the world will be astonished by watching how rapidly the emerging trend for Artificial Intelligence is increasing.

Certification plays a major role in building one’s career as a professional with excellent skills in a particular field/technology. So most of the aspirants who have a keen interest in only one field will join the training in some courses to gain expertise in core areas and get job opportunities for the most demanding technologies. Having a certification in a particular course or technology will add value to the resume of an individual and recruiters will have a positive opinion on him that he is only specific to that particular field and we need that skill. Getting enrolled in the Artificial Intelligence course in Mumbai offered by Besant technologies will help you build your career in Machine Intelligence. During this training period, you will master all the core concepts of the AI and get placed in the top MNCs

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