Artificial Intelligence course in Bangalore with Live Industry Experience

Wake up the data science enthusiast in you and sign up for this high-demand artificial intelligence course in Bangalore. Also, learn from experts in live-interactive classrooms with a program design giving focus to industry experience. In short, get enrolled in this 9-month artificial intelligence course and avail the opportunity to grab project experience certification from top AI start-ups!









Artificial Intelligence Program Features

Project Certification

We provide you project assistance without any hassle. Thus, bring your projects on without fret, because we got your backs!

Build Your Own Course

Self-design your courses at Skillslash under expert supervision. Also, assemble your learning modules and get trained in live interactive classes.

3 Year Subscription

Get yourself trained in live-interactive classes. In addition to this, get a 3-year subscription to access these courses too!

Guaranteed Job Referral

Sign up in our data science training and get certified by top AI startups. Further, we provide career support with guaranteed job referrals.

Crafted for working professionals

Artificial Intelligence course in Bangalore with Live Industry Experience

Wake up the data science enthusiast in you and sign up for this high-demand artificial intelligence course in Bangalore. Also, learn from experts in live-interactive classrooms with a program design giving focus to industry experience. In short, get enrolled in this 9-month artificial intelligence course and avail the opportunity to grab project experience certification from top AI start-ups!











Artificial Intelligence Course in Bangalore - Program Features

Program Duration

9 months of faculty led live online classes by industry expert. 300+ hrs sessions with 15+ live industry projects.

3 Year subscription

Get yourself trained in live-interactive classes. In addition to this, get a 3-year subscription to access these courses too!

Build Your Own Course

Self-design your courses at Skillslash under expert supervision. Also, assemble your learning modules and get trained in live interactive classes.

Course Fees

INR. 89,000/- (+ 18% GST)
6 months NO-COST EMI on all major credit cards | *Interest free loan option

Guaranteed Job Referral

Sign up in our data science training and get certified by top AI startups. Further, we provide career support with guaranteed job referrals.

Project Experience Certification

Get Project experience certificate directly  from companies and showcase relevant experience in AI/ML domain.

An overview on artificial intelligence course in Bangalore

Bangalore city is studded with information technology giants. For the most part, the city is a perfect example of urban competitiveness in the field of technology and innovation. Also, Bangalore’s demography is acknowledged to be perfect, attracting both domestic foreign and investors in IT. Moreover, there is a significant demand for advanced studies relating to computer science, which underlines the demand for artificial intelligence courses in Bangalore with placement....
The question of why artificial intelligence course is getting replaced by how to learn artificial intelligence course. In particular, a major reason this is so is that now people are more aware of the momentum artificial intelligence training in Bangalore can make. In brief, this also explains the demand for artificial intelligence jobs in Bangalore. Thus, it is important to learn by enrolling in the best artificial intelligence course in Bangalore, which gives the limelight to industry experience and gives you an artificial intelligence certificate.

What are the requirements for enrolling in the Skillslash artificial intelligence course in Bangalore?

Most importantly, Skillslash offers two important ai ml courses. To point out, the Full-Stack AI and ML Program for professionals and the Data Science and AI program for fresh graduates and college students. In short, the artificial intelligence course in Bangalore with placement provides a whole lot of career opportunities. Here, the former artificial intelligence course in Bangalore is specifically curated for those having 1 or more years of experience in an IT or non-IT domain. Further, those with a BCA, MCA, or MBA is more preferred for the program.

The Data Science and AI course training with an internship cater for novices in the field of data science. Besides, those pursuing graduation or post-graduation programs in the college have this artificial intelligence course eligibility. Usually, basic understanding of programming, statistics, and mathematics is expected for learning this artificial intelligence course. That said, even if you hail from a non-IT background, you will receive additional assistance. Especially, to learn introductory modules at Skillslash.

Why is an artificial intelligence course in Bangalore in such high demand?

Taking up ai ml courses from the best institutes and artificial intelligence colleges in Bangalore helps you get placed in a variety of job roles. Besides, completing the milestone of an artificial intelligence course in Bangalore opens the prospects of a high-paying career. Also, industries are seeking those technically skilled in ML, artificial intelligence, and data science, irrespective of business domains.

Particularly, intelligent development of algorithms to predict the future scope of events is possible with a skilled artificial intelligence engineer. Also, this explains the demand for an artificial intelligence course in Bangalore too. Most importantly, more and more people are looking for artificial intelligence training in Bangalore to improve their portfolios. And, also to land on a six-figure salary paying artificial intelligence jobs in Bangalore and around.

Is there a demand for an artificial intelligence engineer and data scientist in 2021?

The case with an artificial intelligence engineer is that he works in developing new systems using AI techniques which is beneficial for the future. Also, in any job demand reports, you take for the past year, data science job roles always rank in the top 3. Furthermore, this covers the requirements for artificial intelligence and machine learning professionals as well.

Most importantly, researchers all over the globe forecast the demand for these job roles for the coming future as well. Likewise, more people are coming to the career forefront by getting trained in ai ml courses. Especially, the employment statistics are such that, after getting certified in an artificial intelligence course in Bangalore, you will be on the radar of MNC’s. Also, a high salary package awaits you. Therefore, an artificial intelligence course online free with certificate in India is highly sought now.

Is there a demand for an artificial intelligence engineer and data scientist in 2021?

The case with an artificial intelligence engineer is that he works in developing new systems using AI techniques which is beneficial for the future. Also, in any job demand reports, you take for the past year, data science job roles always rank in the top 3. Furthermore, this covers the requirements for artificial intelligence and machine learning professionals as well.

Most importantly, researchers all over the globe forecast the demand for these job roles for the coming future as well. Likewise, more people are coming to the career forefront by getting trained in ai ml courses. Especially, the employment statistics are such that, after getting certified in an artificial intelligence course in Bangalore, you will be on the radar of MNC’s. Also, a high salary package awaits you. Therefore, an artificial intelligence course online free with certificate in India is highly sought now.

What are the most important job roles that you can seek after grabbing an artificial intelligence certificate?

After getting a certification in an artificial intelligence course, the chances of stepping up the career ladder are more. In addition to this, a plethora of job opportunities open before you after getting certified in a machine learning or artificial intelligence course in Bangalore. To begin with, not just the role of an artificial intelligence engineer, there are others also that you can pursue. For instance, the skills in SQL, data analysis, and warehousing, for instance, can pave the career path to become a business analyst. Besides, getting trained in data science concepts, advanced statistics and programming languages like Python, SAS, and R can help you get placed in the roles of a data scientist. Also, you get to be a statistician.

Besides, an artificial intelligence course online certification can help you gain in-depth knowledge of signal processing techniques, programming languages, and neural network architectures. Furthermore, core expertise in machine learning algorithm and ML models help you land in your dream machine learning engineer/scientist role.

Most importantly, knowledge in Hadoop, C++, SPSS, Java, and data streaming helps you become a data engineer or data architect. In brief, all the above-mentioned skills are achieved by mastering core data science by signing up for online data science or artificial intelligence course. Also, having core knowledge in AI, NLP, machine learning, R, and Python libraries helps you become an AI developer.

What makes an artificial intelligence course in Bangalore vital?

The field of data science works in unveiling trends and patterns from both Firstly, the field of data science works in unveiling trends and patterns from both structured and unstructured data. Particularly, the umbrella of data science covers the techniques of AI and ML. Artificial intelligence has its branches and machine learning is a subset of AI.  Also, learning an artificial intelligence course in Bangalore is considered vital. Especially, because AI has great potential in making optimal decisions even in complex business scenarios. Additionally, artificial intelligence, deep learning, and machine learning have an important role to play in determining future business trajectories.

Therefore, enrolling yourself in ai ml courses in Bangalore and getting certified in it helps to enhance your profile. Also, the field of machine learning combined with artificial intelligence is considered vital for study because it equips people to utilize the power of data, helping businesses in customer acquisition, innovative analysis, future output forecasting, and strategic marketing. Thus, data science, AI, and ML application are extensive over different domains and this explains the scope of the field.

In Skillslash’s artificial intelligence course in Bangalore, what are some of the projects that you will get to work on?

When it comes to a course curriculum emphasizing project experience than mere theory, Skillslash offers you the best artificial intelligence certification online training in Bangalore. Therefore, by enrolling in Skillslash’s artificial intelligence course in Bangalore, you get the opportunity to work in real-time industrial projects in machine learning and AI. And, also to gain certification from top AI startups.  Here, the live projects extend over different domains like – healthcare, manufacturing, and finance.

Besides, you get to learn core data science concepts while working on these projects which are relevant to the time. For instance, some of the projects at Skillslash include –

  • Foreign exchange – Time series analysis of the forecast value of a currency in the global market
  • Healthcare – Accurate classification of problems for identifying and localizing findings on chest radiographs.
  • Motion prediction – Building motion prediction models for self-driving vehicles.

What are the best firms to work for if you are an artificial intelligence engineer in Bangalore?

Most importantly, after successful completion of an artificial intelligence course in Bangalore, several career prospects await you. Particularly, there is a heavy demand for artificial intelligence engineer job roles in Bangalore. For instance, companies such as Microsoft, Google, and IBM offer machine learning roles in Bangalore with bounteous salary packages.

Also, since the application of artificial intelligence is spread across many domains and not just one, you get a range of opportunities to choose from. In brief, firms like Baker Hughes, Total AI Systems LLC, and Sigma Data Systems also hire for artificial intelligence, machine learning, and data scientist roles in Bangalore.

What skills will you gain from the artificial intelligence course in this best artificial intelligence institute in Bangalore?

In the expert monitored, live-interactive classes for both the courses of Full stack AI and ML and Data Science and AI with an internship, you get to learn to use the following tools:

  • Excel for Business
  • SQL & MongoDB
  • Power BI

In addition, you also get the platform to get an artificial intelligence internship in Bangalore along with machine learning and artificial intelligence training. Particularly, Skillslash offers the two best artificial intelligence courses in India where you get trained in advance ai and ml concepts, parallel to industry experience.

Besides, you will also get training in – programming essentials, applied statistics, advanced machine learning, deep learning, NLP, reinforcement learning, computer vision, and explainable AI and risk management along with live and industrial project experience.

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    Work Directly With Companies on Live Projects

    Project Experience Certificate with Artificial Intelligence course in Bangalore

    Don't get Academic Degree , Get Project experience certificate from Industry. Also, this can be more helpful in career transition for professionals.

    Get Relevant Industry Experience

    Work on Collaborative projects with companies and Also, get project experience certificate to land in your dream data science job roles.

    Get Hired in Product Based MNCs

    Learn in-depth from the best data science institute in Bangalore and crack interview in top tier-1 product based MNCs with confidence.

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    Course Curriculum - Artificial Intelligence Course in Bangalore

    Milestone 0

    Learn Programming Basics

    Learn Fundamentals of Programming. This will help candidates from Non-Programming and Non-tech domain.

    Learn Math’s Fundamental

    Revise high school math’s and basic statistics which are important for learning data science and AI. Besides, Learn basics of linear algebra, probability concepts.

    Domain & Cloud Basics

    We will cover introduction to various domain like BFSI, Healthcare, Retail, Manufacturing. Further, Detail domain training will be covered later in milestone 4. We will cover cloud introduction.

    artificial intelligence course in bangalore Curriculum
    Milestone 1

    Learn Python in Depth

    Gain Knowledge of Core python and data analytics modules. For instance – Numpy, Pandas and Matplotlib & Seaborn (Data Visualization).

    Learn Statistics, EDA & Storytelling

    Get skilled in Statistics and Probability concepts in depth. Also, learn Exploratory Data Analytics techniques (EDA) by working on multiple case studies and projects.

    Case Studies & Projects

    In This milestone, We will work on multiple case studies on data analytics  using python. In addition to this, there will be 1 capstone project and 5 case studies. Particularly involving python and data analytics end to end.

    Skillslash’s collaborative and live interactive artificial intelligence training in Hyderabad
    Milestone 2

    Learn ML in depth with Projects

    Know more about all machine learning algorithms. For instance, Supervised, unsupervised, clustering with live projects & case studies from each algo.

    Learn Time Series & modelling techniques

    Study in-depth time series forecasting using Python . Also, learn advance modelling techniques like feature engineering and model selection & model tuning.

    Capstone & Guided Projects

    We will cover introduction to various domain like BFSI, Healthcare, Retail, Manufacturing. Further, detail domain training will be covered later in milestone 4. Also, we will cover cloud introduction.

    Ai and ML course in bangalore Curriculum
    Milestone 3

    Deep learning & computer vision Advance

    Learn Deep learning algorithms and computer vision in advance with 1 capstone project and multiple case studies.

    Natural Language Processing & Auto AI

    Learn NLP and text analytics. In addition to this, it covers advance text analytic. Also, you get to work on a chatbot project from scratch using python NLTK library.

    Reinforcement Learning & Model Deployment

    Learn Reinforcement learning and model deployment using AWS and GCP.

    Milestone 4

    Resume Preparation

    With Skillslash you will get help from professionals in resume preparation. Further, this will help you to get noticed by an interviewer.

    Interview guidance and Mock test With Experts

    Interviews are your chance to sell your skills and abilities. Here, with us, you will get several Mock tests based on important interview questions. Also, this will help you to enhance your interview skills.

    Referral for relevant roles

    We provide several job referrals for relevant roles in MNCs and startups.

    Resume Preparation and Inteview Guidance for artificial intelligence course in bangalore


    Our Unique Program Features And Advantage

    Elements that distinguish Skillslash Data Science course from others

    Domain specialization

    Domain Training from industry experts, Elective tracks for functional and industry
    specializations. Also, Project experience serves as the perfect compliment.

    Land AI and ML jobs in top MNCs

    Mentorship from experts for a smooth career transition, Outcome driven learning tracks, additional elective track on data structures for product based companies

    Project Experience Certification

    Relevant Industry experience is a crucial factor in cracking interviews, Collaboration with top AI startups, Focus on application based learning

    Student Recommendation

    Student Community

    Advantages Skillslash's Artificial Intelligence course in Bangalore

    Artificial intelligence work with startups
    1. Do a real-time project with startups under the supervision of SkillSlash.
    2. Achieve an eye catchy project portfolio with a project experience certificate
    3. Choose a project based on your domain preferences. 
    4. Work on trendy business problems and get treated, especially at the interview table.
    5. In case you are a fresher, we provide you internship opportunities.
    A girl student in front of a laptop getting artificial intelligence training online
    1. Professionals from different background need to approach data science differently.
    2. We help you curate a personalized learning track based on your professional background and career goals.
    3. With all the customizability, the entire curriculum is delivered In live instructor led sessions.
    4. The sheer breadth and depth of topics that the program covers allows us to build tailor made learning tracks for all range of professionals
    Work on Live projects in bangalore's Best artificial intelligence course
    1. This is an extension of the Project Certification which is more relevant for professionals with more than 10 yrs of experience.
    2. Learners have an option to bring their own projects which can be worked upon by fellow students in our guidance to reach to a certain goal.
    3. The purpose behind this is to help you get live project experience in a relevant space.
    4. As decision makers in teams, professionals use this as an opportunity to get a POC done or to find better solutions to the problems they are solving.

    Course Details of Artificial Intelligence course in Bangalore

    Chapter 1: Introduction to Programming ( 3 hrs )
    • What is a programming language ?
    • Source code Vs bytecode Vs machine code

    Also, learn about –

    • Compiler Vs Interpreter
    • C/C++, Java Vs Python
    Chapter 2: Jupyter notebook basics (1 hrs)
    • Different type of code editors in python
    • Introduction to Anaconda and jupyter notebook
    Chapter 3: Python Programming Basics (2 hrs )
    • Variable Vs identifiers
    • Strings Operators Vs operand

    And also,

    • Procedure oriented Vs modular programming
    Chapter 4: Statistics basics (4 hrs)
    • Introduction to statistics
    • Measures of Central Tendency

    Further, it covers –

    • Measures of dispersion
    • Inferential statistics and Sampling theory
    Chapter 5: Introduction to probability (4 hrs)
    • Introduction to probability
    • permutations and combinations

    Also, including –

    • Addition and Multiplication Rule
    • Conditional Probabilities
    Introduction to Programming
    • What is Programming Language?
    • Why do we need a Programming Language?
    • Different types of Programming Language

    In addition, it includes –

    • Why do we prefer to code in a High-Level Programming
    • What is Compiler? What is an Interpreter?

    Also, it covers –

    • Compile Time vs Run Time
    • Compile Time Error vs Run Time Error.
    Introduction to Python
    • What is Python?
    • Why do we need Python?
    • Python is Compiled or Interpreted?

    Further, it includes –

    • How a Python Program runs on our system?
    • Features of Python
    • Memory Management in Python
    • Different Implementations of Python
    Conditional and Loops
    • Conditional Statement

    Use of “if”, “if-else”, “if-elif-else” statement

    • Loop Statement

    For loop

    When to use for loop

    For-else loop

    While Loop

    Also, covering –

    When to use while loop

    While-else loop

    Infinite loop

    Break, Continue and Pass

    Python Programming Components
    • Writing your First Python Program
    • Linting Python code
    • Formatting Python code

    Also, it covers –

    • Understanding
    • Few important function

    Besides, it contains –

    • Command Line Arguments
    • Python Operators
    Data Types in Python
      • Fundamental Data Types
          • Strings
          • Numbers
          • None Type
          • Boolean Type

    Also, covering –

    • Derived Data Structure
    • Introduction to List

    Further, the module has –

    • List creation and importance of eval() while taking list as input
      from the user
    • List comprehension
    • List properties and some basic operations


    • What is a function?
    • Function as a first-class citizen
    • What is the use of function? What is the DRY Principle?
    • How to define a function.

    Also, the module covers –

    • Function call vs Function referencing
    • What are inputs and outputs to the function?
    • Parameters vs Arguments
    • Types of Arguments

    Further, covering –

    • Return statement
    • Recursion
    • Namespace vs Scope
    • Anonymous Function and Lambda Expression

    Besides, the module has –

    • Filter, map, sort and reduce function
    • Closure Concept
    • Iterator Concept

    Exception Handling

    • What is an Exception?
    • Why do we need Exception Handling?
    • Type of Errors
    • Exception Handling Keywords


    • Nested try-except block
    • Default except for block
    • Try with multiple except block
    Modules in Python
          • What is Module?
          • Introduction to Modular Programming
          • Module Search path
          • Importing Modules and different import statement

    Besides, it has –

          • Types of Modules
            • Builtin Modules
            • User Defined Modules
            • Package

    File Handling

    • What is File Handling?
    • Why do we need File Handling?

    And, also covering –

    • Type of Files
    • File Operation

    Regular Expression

    • What is Regular Expression?
    • Why do we need Regular Expression?
    • Importing regex module

    Also, it contains –

    • What is Raw string and why do we need it?
    • Sample regex pattern and it’s interpretation
    • Important Methods

    Numpy in Python

    • What is Numpy?
    • Why is Numpy required?
    • What is an array?
    • Why do we need an array when we have a list?
    Array Operations
      • Creating array using numpy
      • Printing an array
      • Indexing and Slicing
      • Basic operations
      • Universal Functions

    In addition, the module has –

      • Arrays with Structured Data
      • Changing shape of an array
      • Array Broadcasting
      • Vectorization
      • Iterating over an array
      • Splitting an array
      • View vs Copy

    And, also –

      • Vector Stacking
      • Miscellaneous Functions and Methods
      • Numpy and Scipy
      • Numpy and Pandas

    Visualization of Data in Python

    • Matplotlib
      • Lines and Markers
      • Figures and Axes
      • Figures and Subplots
      • Watermark
      • Shapes
      • Polygon and Arrows

    Further, the module has –

      • Beizer Curves
      • Curves
      • Annotations
      • Scales
      • Twin Axis

    And, also –

      • Boxplot and Violin Plots
      • Visualize Titanic Dataset with Box and Violin plots
      • Pie Charts
      • Stacked Plots
      • Color Maps
      • Autocorrelation

    Pandas in Python

    • What is Pandas?
    • Why do we need Pandas?
    • Numpy vs Pandas
    • Pandas Data Structure

    Also, covering –

    • Series
      • Creating Series
      • Indexing and Slicing operation
    Data Frame
      • Creating Data Frame
      • Indexing and Selection in Data Frame
      • Addition and Deletion of rows and Columns
      • Iterating over DataFrame

    Also, it covers –

      • Reshaping Data Frame
      • Handling Missing Data in data Frame
      • Grouping Data Frame
      • Sorting Data Frame
      • Stacking and Unstacking

    Besides, it has –

      • Concatenating and Merging Data Frame
      • Pandas Time Series
      • Exporting Dataframe to CSV and Excel
      • EDA using Pandas

    Part 1 – Introduction to Probability theory and Statistical

    • Introduction to Probability Principles
    • Random Variables and Probability principles
    • Discrete Probability Distributions – Binomial , Poisson etc

    Also, it covers –

    • Continuous Probability Distributions – Gaussian, Normal, etc
    • Joint and Conditional Probabilities
    • Bayes theorem and its applications
    • Central Limit Theorem and Applications

    Part 2 – Statistics and Foundation

    • Elements of Descriptive Statistics
    • Measures of Central tendency and Dispersion

    Further, the module has –

    • Inferential Statistics fundamentals
    • Sampling theory and Scales of Measurement
    • Covariance and correlation

    Part 3 – Hypothesis Testing and its Applications

    • Basic Concepts – Formulation of Hypothesis , Making a decision
    • Advanced Concepts – Choice of Test – t test vs z test
    • Evaluation of Test – P value and Critical Value approach

    Also, it covers –

    • Confidence Intervals , Type 1 and 2 errors
    • Chi-squared and F tests
    • Industry Applications – Two sample mean , A/B testing
    Part 4 - Exploratory Data Analysis and the Art of Storytelling
    • Ingest data
    • Data cleaning
    • Outlier detection and treatment
    • Missing value imputation

    In addition, it has –

    • Impact of Data Visualization
    • Univariate Analysis
    • Bivariate Analysis and ANOVA

    Further, it contains –

    • The science of Storytelling
    • Sliding like a management consultant

    Project – Exploratory analysis on Credit card data

    • Capstone Project for Business Analysis

    Part 0 – A primer on Machine Learning

    • Types of Learning – Supervised, Unsupervised and Reinforcement
    • Statistics vs Machine Learning

    Also, it contains –

    • Types of Analysis – Descriptive, Predictive, and Prescriptive
    • Bias Variance Tradeoff – Overfitting vs Underfitting

    Part 1 – Regression – Linear Regression

    • Correlation vs Causation
    • Simple and Multiple linear regression
    • Linear regression with Polynomial features

    Moreover, it contains –

    • What is linear in Linear Regression?
    • OLS Estimation and Gradient descent
    • Model Evaluation Metrics for regression problems – MAE , RMSE, MSE,
      and MAP

    Part 2- Classification – Logistic Regression

    • Introduction to Classification problems
    • Logistic Regression for Binary Problems
    • Maximum Likelihood estimation

    In addition, it has –

    • Data imbalance and redressal methodology
    • Upsampling, Downsampling and SMOTE

    In addition, it has –

    • one vs Rest (OVR) for multinormal classification.
    • Model Evaluation Metrics for classification-confusion matrix/
    • Misclassification error, Precision, Recall, F1 score, and AUC-ROC

    And, also –

    • Choosing the best error metric for a problem
    Part 3 - Clustering - K means
    • Introduction to Unsupervised Learning
    • Hierarchical and Non-Hierarchical techniques

    And also,

    • K Means Algorithms – Partition based model for clustering
    • Model Evaluation metrics – Clustering

    Part 4 – KNN

    • Introduction to KNNs
    • KNNs as a classifier
    • Non Parametric algorithms and Lazy learning ideology

    And also,

    • Applications in Missing value imputes and Balancing datasets

    Part 5 – Advanced Regression Models

    • Introduction to regularization
    • Ridge regression
    • Lasso regression

    Part 6 – Decision tree

    • Nonlinear models for classification
    • Intro to decision trees
    • Why are they called Greedy Algorithms

    In addition. It covers –

    • Information Theory – Measures of Impurity
    • Stopping criteria for trees
    • Susceptibility to overfitting and high variance

    And also,

    • Prevention of overfitting with Pruning or Truncation

    Part 7- Ensemble techniques

    • introduction to Bagging as an Ensemble technique
    • Bootstrap Aggregation and out of bag error

    Further, covering –

    • Random Forests and its Application in Feature selection
    • Scent and Boosting

    And also,

    • How Boosting overcomes the Bias – Variance Tradeoff

    Gradient Boosting and Xgboost as regularized boosting

    Part 8 - Support Vector Machines
    • Introduction to Expectation–Maximization Algorithms
    • The kernel trick
    • Linear, Polynomial, and RBF kernels and their use cases

    Further, it has –

    • SVMs for regression and classification
    • Applications in Multiclass classification

    Part 9 – Bayesian Family Algorithms and Intro to Text

    • Naive Bayes for Text classification
    • Bag of words and TF-IDF algorithm
    • Multinomial and Gaussian Naive Bayes

    And, also –

    • Bayesian Belief networks and Path models

    Part 10 – Time-series Analysis

    • Intro to Time series and its decomposition
    • Autocorrelation and ACF/PACF plots
    • The Random Walk model and Stationarity of Time Series
    • Tests for Stationarity – ADF and Dickey-Fuller test
    • AR, MA, ARIMA, SARIMA models for univariate time series

    And, also –

    • A regression approach to time series forecasting
    Part 11 - How to Build and Deploy a Machine Learning pipeline
    • Loading data
    • Feature engineering techniques
    • Principal Component Analysis for Dimensionality reduction

    In addition, covering –

    • Linear Discriminant Analysis
    • Feature Selection Techniques – Forward and Backward
    • elimination, RFE

    Also, it contains-

    • Model Tuning and Selection
    • Deploying a Machine Learning Model
    • Serving the model via Rest API

    Part 12 – AutoML

    • Introduction to AutoML
    • Auto learn

    Also, covering –

    • TPOT models
    • Auto Keras

    Part 1 – Neural Networks

    • introduction to Neural Networks
    • Layered Neural Network
    • Activation function and their application

    Also, it has –

    • Backpropagation and Gradient descent

    Part 2 – Tensorflow

    • Introduction to TensorFlow
    • Linear and Logistic regression with Tensorflow

    Part 3 – Artificial Neural Networks (ANNs)

    • Multi-layer perceptrons and Feedforward networks
    • Activation Functions
    • Intro to Deep Learning and deep neural networks

    Also, it has –

    • Adam and Batch normalisation

    Part 4 – Deep Neural Networks

    • Designing a deep neural network
    • Optimal choice of Loss Function
    • Tools for deep learning models – Tflearn and Pytorch

    And, also –

    • The problem of Exploding and Vanishing gradients

    Part 5 – Convolutional Neural networks

    • Architecture and design of a Convolutional network
    • Pooling and Flattening layer

    Further, it contains –

    • Basics of digital images and image augmentation
    • Deep convolutional models
    Part 6 - Recurrent Neural networks and LSTMs
    • RNN network structure
    • Bidirectional RNNs and Applications on Sequential data
    • LSTM cell structure and its variants

    Additionally, it has –

    • Applying RNN/LSTMs to language and character modelling
    • Advanced Time series forecasting using RNNs with LSTMs
    • LSTMs vs GRUs – Key takeaways

    Additionally, it has –

    Part 7 – Restricted Boltzmann Machines and Autoencoders

    • Intro to RBMs and their training
    • Application of RBMs in Collaborative filtering
    • Intro to Autoencoders

    And, also –

    • Autoencoders for Anomaly detection

    Capstone Project

    • Self driving cars
    • Facial recognition
    Part 1 – Language modeling and Sequence tagging
    • Intro to the NLTK library
    • N-gram Language models: Perplexity and Smoothing
    • Introduction to Hidden Markov models

    Further, it contains –

    • Viterbi algorithms
    • MEMMs and CRFs for named entity recognition
    • Neural Language models

    And, also –

    • Application of LSTMs to predict the next word
    Part 2 – Vector space models of Semantics for Contextual
    • Distributional semantics
    • Explicit and Implicit matrix factorization
    • Word2vec and Doc2vec models

    And also,

    • Introduction to topical modeling
    Part 3 – Sequence to Sequence tasks
    • Introduction to Machine translation
    • Word Alignment models and Encoder-Decoder Architecture

    And, also it has –

    • How to implement a conversational Chatbot
    Capstone Project
    • Fully functional Chatbot
    • What is RL ? – High-level overview
    • The multi-armed bandit problem and the explore-exploit dilemma
    • Markov Decision Processes (MDPs)

    Further, it has –

    • Dynamic Programming
    • Monte Carlo Control

    And, also it covers –

    • Temporal Difference (TD) Learning (Q-Learning and SARSA)
    • Approximation Methods (i.e. how to plug in a deep neural

    And, also it covers –

    • network or other differentiable model into your RL algorithm)
    • Mathematics for Computer Vision
    • Intro to Transfer Learning

    Besides, the module covers –

    • R-CNN and RetinaNet models for Object detection using Tensorflow
    • FCN architecture for Image segmentation

    And also,

    • IoU and Dice score for model evaluation
    • Face detection with OpenCV
    • Ethical Risk Analysis – Identification and Mitigation
    • Managing Privacy risks
    • Modeling personas with minimal private data sharing
    • Homomorphic encryption and Zero-Knowledge protocols

    Also, it has –

    • Managing Accountability risks with a Responsibility Assignment Matrix
    • Managing Transparency and Explainability risks
    Excel for Business
    Excel Fundamentals:
    • Introduction to Excel interface
    • Customizing Excel Quick Access Toolbar
    • Structure of Excel Workbook
    • Excel Menus

    Further, the module contains –

    • Excel Toolbars: Hiding, Displaying, and Moving Toolbars
    • Switching Between Sheets in a Workbook
    • Inserting and Deleting Worksheets

    Also, covering –

    • Renaming and Moving Worksheets
    • Protecting a Workbook
    • Hiding and Unhiding Columns, Rows and Sheets
    • Splitting and Freezing a Window
    • Inserting Page Breaks

    Besides, it contains –

    • Advanced Printing Options
      Opening, saving and closing Excel document
    • Common Excel Shortcut Keys
    • Quiz
    Worksheet Customization
    • Adjusting Page Margins and Orientation
    • Creating Headers, Footers, and Page Numbers
    • Adding Print Titles and Gridlines
    • Formatting Fonts & Values

    Further, the module has –

    • Adjusting Row Height and Column Width
    • Changing Cell Alignment
    • Adding Borders
    • Applying Colors and Patterns

    Besides, it contains –

    • Using the Format Painter
    • Formatting Data as Currency Values
    • Formatting Percentages

    Also, covering –

    • Merging Cells, Rotating Text
    • Using Auto Fill
    • Moving and Copying Data in an Excel Worksheet
    • Inserting and Deleting Rows and Columns
    Images and Shapes into Excel Worksheet
    • Inserting Excel Shapes
    • Formatting Excel Shapes
    • Inserting Images

    And, also –

    • Working with Excel SmartArt
    Basic work on Excel
    • Entering Values in a Worksheet and Selecting a Cell Range
    • Working with Numeric Data in Excel
    • Entering Text to Create Spreadsheet Titles

    Besides, there are –

    • Entering Date Values and using AutoComplete
    • Moving and Copying Cells with Drag and Drop
    • Using the Paste Special Command

    Also, it has –

    • Inserting and Deleting Cells, Rows, and Columns
    • Using Undo, Redo, and Repeat
    • Checking Your Spelling

    Further, it has –

    • Finding and Replacing Information from worksheet & workbook
    • Inserting Cell Comments
    • Working with Cell References
    • Working with the Forms Menu
    • Sorting, Subtotaling & Filtering Data
    • Copy & Paste Filtered Records

    Also, it has –

    • Using Conditional Formatting
    • Use of Data Validation
    Excel Formulas
    • Creating Basic Formulas in Excel
    • Relative V/s Absolute Cell References in Formulas
    • Understanding the Order of Operation
    • Entering and Editing Text and Formulas

    And, also –

    • Fixing Errors in Your Formulas
    • Formulas with Several Operators and Cell Ranges
    • Quiz
    Excel Functions
    • Introduction to excel functions
    • Learn about SUM() Function
    • Work with the MIN() and MAX() Functions
    • Get your hands on the AVERAGE() Function

    Further, it has –

    • Working with the COUNT() Function
    • Adjacent Cells Error in Excel Calculations
    • Use of AutoSum command
    • AutoSum shortcut key

    And, also –

    • Using the AutoFill Command to Copy Formulas
    • Quiz
    Working with Charts / Graphs
    • Creating a column Chart
    • Working with the Excel Chart Ribbon

    Also, the module has-

    • Adding and Modifying Data on an Excel Chart
    • Formatting an Excel Chart
    • Moving a Chart to another Worksheet
    • Resizing a Chart

    Besides, there are –

    • Changing a Chart’s Source Data
    • Adding Titles, Gridlines, and a Data Table
    • Formatting a Data Series and Chart Axis
    • Using Fill EffectsAnd, also –

    And, also –

    • Changing a Chart Type and Working with Pie Charts
    • Quiz
    Data Analysis & Pivot Tables
        • Why Pivot Tables
        • Structuring Source Data for Analysis in Excel

    In addition, it contains –

        • Creating a PivotTable
        • Navigating & Manipulating the Pivot Table Field List
        • Exploring Pivot Table Analyze & Design OptionsAdditionally, there is –
          • Selecting, Clearing, Moving & Copying Pivot Tables
          • Refreshing & Updating Pivot Tables
          • Dealing with Growing Source Data
          • Formatting Data with Pivot Tables
          • Enriching data with Pivot table calculated values & fields

          And, also –

          • Formatting and Charting a PivotTable
          • Pivot Table Case Study
          • Quiz
          Basic Macros
          • Automating Tasks with Macros
          • Recording a Macro
          • Playing a Macro and Assigning a Macro a Shortcut Key
          SQL & MongoDB for Business
          Introduction to SQL
          • What is a Database?
          • Why SQL?
          • All about SQL

          And also, it covers –

          • Difference between SQL & MongoDB
          • Different Structured Query languages
          • Why MySQL?
          • Installation of MySQL

          Besides, there are –

          • DDL
          • SQL Keywords
          • DCL
          • TCL
          • Database Vs Excel Sheets
          • relational and database schema

          Also, it has –

          • Foreign and Primary Keys
          • database manipulation, management, and administration
    2. NoSQL Databases :
      • Topics – What is HBase?
      • HBase Architecture
      • HBase Components,
      • Storage Model of HBase,

      And, also –

      • HBase vs RDBMS
      • Introduction to Mongo DB, CRUD
      • Advantages of MongoDB over RDBMS
      • Use cases
      First Step in SQL Database
      • Creating Database
      • Dropping Database
      • Also, it has –
      • Using Database
      • Introduction to Tables
      • Data types in SQL

      Further, the module has –

      • Creating a table
      • Dropping table
      • Coding best practices in SQL
      SQL Fundamental Statements
      • SELECT Statement
      • COUNT
      • ORDER BY


      • IN, NOT IN
      • NULL and NOT_NULL
      • Comparison Operators (=, >, >=, <, <=)
      • MySQL Warnings (Understand and Debug)
      Refining Selection
      • LIMIT
      • BETWEEN
      • BETWEEN – AND
      SQL Intermediate Statements
      • Multiple INSERT
      • GROUP BY
      • HAVING

      Further, it has –

      • WHERE vs HAVING
      • UPDATE
      • DELETE
      • And, also –
      • AS
      Aggregator Functions
      • Application of Group By
      • Count Function

      And, also –

      • MIN and MAX
      • Sum Function
      • Avg Function
      • Introduction to JOINs
      • INNER Join
      • OUTER Join
      • Full Join

      Also, it contains –

      • Left Join
      • Right Join


    SQL String Functions
    • Loading Data
    • CONCAT

    Besides, there are –


    And, also covering –

    Advance SQL
    • Local, Session, Global Variables
    • Timestamps and Extract
    • TO_CHAR

    Further, including –

    • Mathematical Functions and Operators
    • Operators and their precedence
    • String Functions and Operators

    Further, it has –

    • SubQuery
    • Self-Join
    • ALTER table

    Additionally, there are –

    • CASE
    • CAST
    • NULLIF

    And, also –

    • Check Constarints
    • Views
    • Import & Export
    Basics and CRUD Operation
    • Databases, Collection & Documents
    • Shell & MongoDB drivers
    • What is JSON Data

    And also,

    • Create, Read, Update, Delete
    • Working with Arrays
    • Understanding Schemas and Relations
    • What is MongoDB?
    • Charateristics, Structure and Features
    • MongoDB Ecosystem
    • Installation process
    • Connecting to MongoDB database

    Also, there is –

    • What are Object Ids in MongoDb
    • Data Formats in MongoDB
    • MongoDB Aggregation Framework
    • Aggregating Documents

    Besides, there is –

    • What are MongoDB Drivers?
    • Finding, Deleting, Updating, Inserting Elements
    TABLEAU for Business
    Introduction to TABLEAU
    • What is TABLEAU?
    • Why use TABLEAU?
    • Installation of TABLEAU
    • Connecting to data source
    • Navigating Tableau

    Also, there is –

    • Creating Calculated Fields
    • Adding Colors
    • Adding Labels and Formatting
    • Exporting Your Worksheet
    • Creating dashboard pages

    Additionally, there are –

    • Different charts on TABLEAU (Bar graphs, Line graphs, Scatter graphs, Crosstabs, Histogram, Heatmap, Treemaps, Bullet graphs, etc.)
    • Dashboard Tricks
    • Hands on exercises
    Data Types in Tableau
    • Aggregation and Granularity
    • Preattentive Processing
    • Length and Position
    • Reference Lines
    • Parameters
    • Tooltips

    Besides this, there is –

    • Data Over Time – Tableau
    • Implementation
    • Advance Table Calculations
    • Creating multiple joins in Tableau
    • Relationships vs Joins

    And, also –

    • Calculated Fields vs Table Calculations
    • Creating Advanced Table Calculations
    • Saving a Quick Table Calculation
    • Writing your own Table Calculations
    • Adding a Second Layer Moving Average
    • Trendlines for Power-Insights
    Mapping & Analytics
      • Getting Started With Visual Analytics
      • Geospatial Data
      • Mapping Workspace

    Besides, it covers –

      • Map Layers
      • Custom Territories
      • Common Mapping Issues
      • Creating a Map, Working with Hierarchies
      • Coordinate points

    Further, it has

    Power BI for Business
    Introduction to Power BI
    • Why Power BI?
    • Account Types
    • Installing Power BI

    And, it also has –

    • Understanding the Power BI Desktop Workflow
    • Exploring the Interface of the Data Model
    • Understanding the Query Editor Interface
    Query Editor
    • Connecting Power BI Desktop to Source Files
    • Keeping & Removing Rows
    • Removing Empty Rows

    Further, it contains –

    • Create calculate columns
    • Make first row as headers
    • Change Data type
    • Rearrange the columns
    • Remove duplicates

    Besides, it covers –

    • Unpivot columns and split columns
    • Working with Filters
    • Appending Queries
    • Working with Columns
    • Replacing Values
    • Splitting Columns

    And, also –

    • Formatting Data & Handling Formatting Errors
    • Pivoting & Unpivoting Data
    • Query Duplicates vs References
    • Append Queries

    Moreover, it contains –

    • Merging Queries
    • DIM-Region Table
    • Understanding “Extract”
    • Basic Mathematical Operations
    • Introduction
    • Line Charts
    • Pie Chart
    • Bar Charts
    • Stacked bar Chart

    Also, it covers –

    • Clustered Column Chart
    • Combo Chart
    • Treemap Chart

    Further, covering –

    • funnel Chart
    • Scatter Chart
    • Gauge Card
    • Matrix

    Additionally, covering –

    • Table
    • Slicers
    • KPIs
    • Maps

    In addition, it has –

    • Text boxes – Shapes – Images
    Working with Power BI
    • Working with Time series
    • Understanding aggregation and granularity
    • Filters and Slicers in Power BI
    • Maps, Scatterplots and BI Reports

    Further, it includes –

    • Creating a Customer Segmentation
    • Analyzing the Customer
    • Segmentation Dashboard
    • Waterfall, Map Visualization

    Also, it has –

    • Pie and Tree Map
    • Include and Exclude
    • Categories with no Data
    Data Models: Data and Relationship
    • Understanding Relationships
    • Many-to-One & One-to-One

    Besides, it has –

    • Cross Filter Direction & Many-to-Many
    • M-Language vs DAX (Data Analysis Expressions)
    • Basics of DAX
    • DAX Data Types

    Also, it contains –

    • DAX Operators and Syntax
    • Importing Data for DAX Learning
    • Resources for DAX Learning

    Further, including –

    • M vs DAX
    • Understanding IF & RELATED
    • Create a Column
    • Rules to Create Measures
    • Calculated Columns vs Calculated Measures
    • Understanding CALCULATE & FILTER

    Further, including –

    • Understanding “Data Category”
    Time Intelligence
    • Create Date Table in M
    • Create Date Table in DAX
    • Display Last Refresh Date

    And, also –

    • Creating your first report
    • Modelling Basics to Advance
    • Modelling and Relationship
    • Ways of creating relationship

    Further, it contains –

    • Normalization – De Normalization
    • OLTP vs OLAP
    • Star Schema vs Snowflake Schema

    Why enroll in an artificial intelligence course?

    Here is a list of few applications of artificial intelligence in the fields of transportation, automotive industry, healthcare, and e-commerce. This explains why an artificial intelligence course in Bangalore has a high boom.


    The travel and transportation industry is revolutionized by artificial intelligence. Especially, from the prediction of road accidents to optimizing traffic problems, the scope of artificial intelligence in transportation is extensive. Also, regulating traffic flow and reducing congestion inroads by monitoring traffic data is an important application of AI.

    Auto mobile

    The automotive industry is also highly influenced by artificial intelligence. For instance, autonomous vehicles. Also, the predictive potential using artificial intelligence techniques helps in proactive automobile maintenance. Additionally, smarter vehicle manufacturing and advanced features of driver assistance are other scopes. Further, self-driven cars using AI are also a significant field of research.


    Smarter disease diagnosis is possible with the application of artificial intelligence in healthcare. Besides, deep learning techniques are intertwined with image processing, which works for specialized departments like dermatology. Furthermore, clinical documentation is also easier with natural language processing systems. Also, management of medical records, administration of payments, and clinical decision support systems using AI is also important.


    Personalization is an important feature that artificial intelligence has helped enable in e-commerce. Also, recommendations using machine learning algorithms bring a change in the entire shopping experience. Further, virtual assistance tools and chatbots are used by e-commerce retailers to provide support to customers. Additionally, intelligent product recommendations, AI-based smart solutions, and inventory management in e-commerce are also vital aspects.

    Enchase your skills by Working on live projects

    25+ Industry level projects included in this course which will help you a lot.

    Assistance in job search

    Skillslash’s collaborative and live interactive artificial intelligence training in Hyderabad

    Expert Recommendation

    Recommended By
    Industry Experts


    Enquire for Program to know more on career transition into  data science and AI domain

      Full Stack AI and Ml Certification Program

      89,000 + 18% GST

      The Full stack Artificial Intelligence and Machine Learning course is specifically designed for working professionals. That said, the Full Stack Artificial Intelligence and Machine Learning course is specifically curated for those who wish to get hired as data science professionals in product-based companies and startups. In addition, earn valid certification.


      Additional information

      Select Batch

      Weekend Batch: 27th November, Saturday, Weekday Batch: 8th November, Monday

      Frequently Asked Questions

      What are the eligibility requirements for joining artificial intelligence course in Bangalore?

      We believe every passionate data science aspirant is eligible for a successful data science career switch. Also, No, we have not created any strong eligibility criteria. But then, keeping the learning module of the data science domain in mind,  we check for candidates eligibility on

      • Statistical knowledge
      • Programming skills

      But this eligibility checking is only to provide the appropriate degree of guidance. Moreover, if a candidate belongs to a non-statistical and non-programming background, we offer them additional support with module 0. Also, in module 0, we teach them from the very basic level.

      Other than that, a candidate needs to meet the following criteria.

      • 1+ years of professional experience either in IT or non IT domain.
      • Bachelor degree in technology or engineering in any discipline. Also, a Masters degree in Computer Applications, Technology or Business Administration works.

      What modes of learning do Skillslash's artificial intelligence course in Bangalore offer?

      Usually, we offer both offline and online modes of learning. Apart from that, we have provided a hybrid learning mode mainly for working professionals. Particularly, under hybrid learning mode, you can attain all the theoretical sessions via our live online session, but you will be working directly on the industrial project site for practical projects.

      However, due to the pandemic situation, we are only providing full online classes but through live sessions.

      That means, you can instantly interact with your instructor while learning, just like offline, face-to-face classes.

      As of now, all of the practical sessions will also be carried out through cloud-based services.

      What is the duration of the artificial intelligence course, and what modules does it cover?

      Depending on your chosen schedule (weekdays/ weekends), the learning duration may vary between 8 to 10 months, including the three real-time industrial projects.

      Also, the artificial intelligence course module is designed based on extensive industrial market demand research. Further, these course modules include basic to advanced level learning approaches for the following.

      • Applied mathematics
      • Statistical concepts
      • Python, C/C++, Java, and R programming
      • Data visualisation using Matplotlib and Pandas

      Besides, covering –

      • ML modelling and algorithms
      • Basics of AutoML
      • Hypothesis testing with ANOVA
      • Tricks and Tips of successful data Storytelling
      • Tensorflow based deep learning

      And, also –

      • NLP, Artificial Neural Networks
      • Computer vision ,etc.

      Apart from this, Skillslash’s artificial intelligence course in Bangalore cover training on all of the top demanding AI tools such as,

      • Power BI
      • Tableau
      • AWS
      • Advance Excel
      • MongoDB, etc.

      To know more about the courses, download the course brochure of the artificial intelligence course.

      Are the instructor’s academic scholars (data science) or working professionals?

      We aimed to make all of our students appreciably competent in the current job market. So, the recruited candidates are instructors who are working professionals and hold at least six years of working experience on the targeted learning modules

      How much does the artificial intelligence course in Bangalore cost?

      At present, we are going to start our next batch for the artificial intelligence course in Bangalore for a reasonable course fee of 89,000 INR (excluding taxes).

      Are there any discounts available on artificial intelligence course fees?

      We have a data science and artificial intelligence scholarship program. So, if you proved eligible for this program, then you can avail of up to 30% discount on course fees.

      Besides, we provide special scholarships to Covid affected candidates/ candidates who lost their job/ moms wanting to get back to the workforce after a career break.

      What is the Skillslash Data Science (artificial intelligence) Scholarship program?

      Every candidate will get a chance to attain a 20 mins online aptitude test. If a candidate cracks the aptitude test and scores beyond 65%, then he/she will get a chance to avail of a 30% scholarship on the course fees.

      Also, candidates who lost a job due to the COVID scenario and mothers planning to restart their career can achieve up to 100% scholarship based on the test score.

      Do I need to pay the artificial intelligence course fees at a time during registration?

      We offer two alternative options for paying the fees in our artificial intelligence course in Bangalore.

      • One-time payment during the final registration
      • The monthly payment on an instalment basis for the entire course duration. 
      • Other than these, you can avail instant EMI option and education loan on popular credit cards too.

      What is a ‘job guarantee or money back’ program?

      This add-on feature is available on our artificial intelligence course in Bangalore for working professionals. Especially, our mission is to provide end-to-end job assistance support to all eligible and promising candidates.

      To avail of this feature, you need to meet the minimum score criteria. After meeting such criteria, if you remain unable to secure your targeted role in any startup or  MNC within nine months of your course completion, we’ll refund the entire course fees.

      What are the features associated with the placement assistance program?

      Our artificial intelligence course and placement assistance program includes

      • High scored resume building assistance 
      • Mock interview session to make you prepare for your target job role interview.
      • Assured interview call from product-based MNCs and startups through referrals.

      Is the placement programme similar to a university/college campusing?

      At present, we don’t offer any campusing benefits like colleges. What we offer is complete placement guidance. That means, we prepare you for a specific job role through real-time industrial project experience and mock interview test. Besides, once you become data science job market competent, we start referring you to tire one product-based MNC and startups.

      Can I get a compensatory class if in any extreme situation I miss one?

      Although we provide live online classes, each of our students can access the recorded versions of the same at any time. Furthermore, we give lifetime access to these recorded sessions so that you can stream whenever you feel theoretical guidance throughout your data science career. So, it to worry if you miss any of the live class.

      However, we strictly suggest you try not to miss any live classes.

      What type of certification does the artificial intelligence course in Bangalore award?

      The artificial intelligence course does not award you any so-called certification or academic degree. Rather what we provide is a highly creditable project experience certificate. Also, this is directly issued by the company you did your industrial project.

      What is the ‘domain specialization tracking’ feature in the Industrial project experience program?

      Our industry experts faculty will help you target the right job role according to your domain knowledge. Also, depending on this you become able to choose the right industrial project that will utilize your prior working experience.

      How many projects are includes in this artificial intelligence course in Bangalore?

      The artificial intelligence course is associated with 15+ live projects from which you can choose a few for a case study based learning depending on your domain specification.

      Apart from that, you will get a chance to do a total of 3 industry projects (capstone project)  with different MNCs and startups on the following modules.

      Learning outcomes from Skillslash artificial intelligence course in Bangalore

      The artificial intelligence course syllabus is divided into milestones starting from milestone 0 to milestone 4. Besides, you get expert-level artificial intelligence training from the scratch. Also, from learning programming and math’s fundamental to machine learning in-depth with case studies, capstone, and guided projects.

      In addition to this, you will also get trained in advanced levels data science concepts such as deep learning & computer vision advance. And also, natural language processing, and auto AI. Besides, in milestone 4, you will get trained in resume preparation, interview guidance, and mock test with experts. In particular, the data science and artificial intelligence course is also associated with live-industrial projects, equipping you to solve real-time practical problems in ML and AI. Also, you will get a chance to get an artificial intelligence certificate from this best artificial intelligence course in Bangalore.


      Skillslash’s artificial intelligence course fees in Bangalore

      Skillslash stands out as the best artificial intelligence institute in Bangalore for data science and ai ml courses because of its affordable program packages. Also, compared to the general artificial intelligence course fees in Bangalore, Skillslash courses are feasible. Here, artificial intelligence training is offered through two important budget-friendly programs – Data science for professionals under the Full Stack AI and ML program with an artificial intelligence course duration of 9 months. And also, costing under 1 lakh.
      Most importantly, the Data Science and AI Program with internship is specifically designed for fresh graduates and college students. Particularly, this program costs around 50k and the program duration is 6 months with an internship starting from the first day. Also, you can also avail 3 years flexible subscription with these programs. Especially, this Data Science and artificial intelligence course in Bangalore has a no-cost EMI scheme of Rs.10,000 for 5 months.

      What makes the artificial intelligence training at Skillslash stand out?

      If you are looking for the best artificial intelligence institute in Bangalore with a course curriculum giving significance to industry experience, then Skillslash is the place. Also, what makes the artificial intelligence training experience in Skillslash stand apart is the one-to-one student: mentor attention that you will receive all through the duration of the programs.
      Especially, these classes are 100% live and interactive and handled by artificial intelligence experts. Moreover, here at Skillslash, you will get the golden opportunity to self-design your courses to meet your learning requirements. Also, you can do so under expert guidance. Furthermore, the data science and ai ml courses are affordable and you get additional assistance to learn introductory modules if you are coming from a non-IT background. Also, these are some specific reasons why Skillslash’s artificial intelligence certification online training in Bangalore reaps great results.

      What are the basic skill requirements for enrolling in artificial intelligence training in Bangalore?

      In general, before taking up any artificial intelligence course in Bangalore, you should first firm the foundation on the basics. Also, this includes polishing your programming, statistical, analytical, and mathematical skills. Besides, being a good data science professional or artificial intelligence engineer demands having strong knowledge in linear algebra and calculus. In addition, programming languages like Python and R can make your learning much easier. Besides these, it is important to develop critical thinking and problem-solving skills. Also, soft skills such as efficient communication skills are also required to convey your ideas regarding data when it comes to interpreting patterns and trends.

      What are the primary duties and responsibilities of artificial intelligence jobs?

      Firstly, every data science enthusiast and novice in the field of data science has concerns about what a data scientist or an artificial intelligence engineer does. Primarily, in artificial intelligence jobs in Bangalore, it is expected that you conduct statistical analysis to guide a business’s decision-making. Also, you will be responsible to build AI models and infrastructures for data transformation.
      To put it simply, artificial intelligence jobs for freshers address the futuristic scopes of data and its transforming potential. And, dealing with the AI development process, its creation, and management are important tasks. Especially, job roles in machine learning and AI demand taking a leadership role in businesses, being the key decision-makers. Further, the importance of artificial intelligence job roles creates great traffic for an artificial intelligence course in Bangalore.

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