Machine Learning & AI Course in Chandigarh

Unlock your potential in tech with our Machine Learning and Artificial Intelligence Course in Chandigarh. Our Software Training Institute offers practical training to help you succeed in the rapidly changing AI landscape.

Join us to stay ahead in technology and innovation, and become a leader in the AI revolution.

4.8 (868 ratings)
4.8/5

23 Modules Series

Earn a Certification that demonstrates your expertise.

Beginner Level

No previous experience with coding is required

4 months

1.5 hours/day class 

Flexible Schedule

Online/ Offline both modes of classes available.

Join Our Machine Learning and Artificial Intelligence Course in Chandigarh

During the Machine Learning and Artificial Intelligence Course in Chandigarh, you’ll learn about key concepts such as feature engineering, predictive analytics, and cloud-based AI solutions. Our Software Training Institute emphasizes experiential learning, empowering students to develop and deploy their own machine learning models. With expert guidance, you’ll gain the technical proficiency needed to excel in the fast-paced fields of data science and artificial intelligence in our Machine Learning & AI Course.

What will you learn

Machine learning & AI Course Overview

 

  • Overview – What is python?
  • Evolution of python.
  • IDE installation <
  • Introduction to variables.
  • Declaring & consume a variable.
  • Different types of data type in python.
  • Mapping Types
  • Literals- Numeric, boolean & String
  • Introduction to conditional statements
  • Decision control instructions
  • Conditional expression
  • If, If- else, Nested if – else
  • Repetition control
  • Accessing strings
  • Basic Operations
  • String Slices
  • Function and Methods
  • Creating Lists using range
  • Updating the elements of lists
  • Concepts of concatenation, repetition
  • Aliasing and cloning
  • What is procedure oriented approach
  • Encapsulation
  • Abstraction
  • Inheritance – constructors, methods
  • Creating class
  • Variable and constructor
  • Instance, class, static methods
  • Errors in coding
  • User defined exceptions
  • Grammar of python
  • Define module.
  • Calling a module using import
  • Symbol table
  • Use user-define module.
  • Definitions, history, and applications of ML and AI
  • TYPES OF Machine learning ,
  • AI VS ML VS DL
  • Linear regression
  • Logistic regression
  • Decision trees and random forests
  • Support vector machines
  • K-means clustering
  • Principal component analysis
  •  
  • Perceptrons and multi-layer neural networks
  • Activation functions and backpropagation
  • Convolutional neural networks
  • Recurrent neural networks
  • Transfer learning and pre-trained models
  •  
  • Text preprocessing and feature extraction
  • Sentiment analysis
  • Language models (e.g., BERT, GPT)
  • Machine translation
  • Chatbots and conversational AI
  • Advantages of Database over files
  • Types of databases used with python
  • Installation of MySQL
  • Image classification and object detection
  • Semantic and instance segmentation
  • Generative adversarial networks (GANs)
  • Reinforcement learning in computer vision
  • Healthcare (e.g., disease prediction, drug discovery)
  • Finance (e.g., fraud detection, stock trading)
  • Autonomous vehicles
  • Recommendation systems
  • Robotics and control system
  • Bias, fairness, and transparency in ML/AI
  • Privacy and data protection
  • Explainable AI
  • Governance and regulation of AI systems
  • Implementing ML algorithms from scratch
  • Deploying ML models in real-world applications
  • Exploring state-of-the-art AI techniques
  • BATCH
  • ONLINE 
  • INSTANCE BASED ML
  • INSTALLATIONS
  • TENSORS
  • FRAME A PROBLEM
  •  MACHINE LEARNING DEVELOPMENT LIFE CYCLE
  • WORKING WITH TYPES OF DATA
  • JSON, CSV, SQL, API, WEB SCRAPING
  • UNDERSTANDING THE DATA
  • EDA
  • BIVARIATE, MULTIVARIATE AND UNIVARIATE
  • PANDAS PROFILING
  • FEATURE SCALING
  • STANDARDIZATION NORMALISATION
  • ENCODING DATA
  • ONE HOT, LABEL ENCODER, ORDINAL ENCODER
  • COLUMN TRANSFORMERS AND PIPELINES
  • FUNCTION TRANSFORMERS
  • LOG TRANSROM, POWER TRANSFORMER, BOX-COX
  • BINNING, BINARIZATION AND DISCRETIZATION
  • HANDLING MIXED VARIABLES
  • HANDLING DATE AND TIME VARIABLES
  • HANDLING MISSING NUMERICAL DATA
  • CCA, MEAN MEDIAN MODE IMPUTATION
  • HANDLING MISSING CATEGORICAL DATA
  • MODE IMPUTATION, CONSTANT IMPUTATION
  • HANDLING MISSING DATA
  • EOD IMPUTATION, RANDOM SAMPLE IMPUTATION
  • KNN, MICE IMPUTATION
  • HANDLING OUTL
  • Z-SCORE METHOD, IQR RULE, PERCENTILE RULE
  • FEATURE CONSTRUCTION AND SPLITTING
  •  DIMENSIONALITY REDUCTION
  • CURSE OF DIMENSIONALITY 
  • INTRO TO PCA
  • PCA GEOMETRIC INTUTION
  • PCA PROBLEM FORMULATION AND CODE EXAMPLE
  • SIMPLE LINEAR REGRESSION INTUTION
  • SIMPLE LINEAR REGRESSION MATHEMATICS AND PRACTICAL
  • TYPES OF METRICS (ROC, MAE, MSE, PRECISON, RECALL)
  • MULTIPLE LINEAR REGRESSION (GEOMETRIC INTUTION)
  • MULTIPLE LINEAR REGRESSION MATHEMATICS AND CODE
  • ASSUMPTIONS OF LINEAR REGRESSION 
  • BATCH GRADIENT DESCENT MATHEMATICS WITH CODE
  • STOCHASTIC GRADIENT DESCENT MATHMEATICS WITH CODE
  • POLYNOMIAL REGRESSION
  • BIAS VARIANCE TRADE OFF (OVER AND UNDER FITTING)
  • RIDGE REGRESSION GEOMETRIC INTUTION
  • RIDGE REGRESSION CODE AND GRADIENT DESCENT
  • KEY POINTS OF RIFGE REGRESSION
  • LASOO REGRESSION CODE AND INTUTION
  • WHY LASOO REGRESSION CREATES SPARSITY
  • ELASTIC NET REGRESSION CODE AND INTUTION
  • SOFTMAX AND MULTINOMIAL REGRESSION
  • POLYNOMIAL REGRESSION FEATURES AND HYPERPARAMETERS
  • DECISION TREES GEOMETRIC INTUTION
    DECISION TREES HYPERPARAMTERS AND OVERFITTING
  • REGRESSION TREES AND VISULAISING THE TREES
  • ENSEMBLE LEARNING
  • VOTING ENSEMBLE INTRO, REGRESSION AND CLASIFICATION
  • BAGGING INTRO, CLASSIFICATION, REGRESSION
  • RANDOM FOREST INTUTION AND MATHS
  • WHY RANDOM FOREST WORKS WELL
  • RANDOM FOREST VS BAGGING
  • RF HYPERARAMETERS AND TUNING THE HYPERPARAMETERS
  • OUT OF THE BAG EVALUATION RANDOM FOREST
  • FEATURE IMPORTANCCE
  • AGGLOMERATIVE CLUSTERING
  • KNN FROM SCRATCH MATHS AND CODE
  • ASSUMPTIONS OF LINEAR REGRESSION SVM GEOMETRIC INTUTION
  • KERNEL TRICK IN SVM AND MATHEMATICS
  •  
  • NAIVE BAYES
    NAIVE BAYES MATHEMATICS + CODE
  • XG BOOST INTRODUCTION
  • XG BOOST FOR CLASSIFICATION
  • XGBOOST FOR REGRESSION
  • XGBOOST MATHEMATICS
  • ASSOCIATION RULE MINING
  • APRIORI AND ECLAT
  • REINFORCEMENT LEARNING
  • UCB AND THOMSON SAMPLING

Mastering Machine learning Tools

Logos of machine learning and data science tools including MySQL, Python, Pandas, OpenCV, Keras, TensorFlow, Tableau, Google Colab, and Seaborn
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Course Features:

Why Choose Netmax for Machine Learning Training In Chandigarh

With over 23+ years of expertise, Netmax Technologies is recognized as one of the top Machine Learning Training Institute in Chandigarh

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Professional Mentors

Learn Machine Learning & AI from skilled mentors who work on real industry projects.

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Prepare For Certification

Get AI and Machine Learning Training mock tests and full certification support.

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Flexible Learning Online/ Offline

Choose flexible AI and Machine Learning Training schedules for all learners.

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100% Practical Training

Practice ML & AI concepts through real datasets, coding tasks, and live demos.

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Latest Curriculum

Learn updated ML & AI tools, algorithms, and models used in modern applications.

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Affordable Fees

Get AI and Machine Learning Training at budget-friendly fees with practical modules.

Live expert

Live Expert Session

Join live expert sessions covering real AI and Machine Learning Training topics.

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AI- Driven Learning

Learn faster with smart, advanced AI-powered tools for personalized ML training.

Career Assistance: Your Future, Our Mission

100% Placement Support

Professional Resume Help

LinkedIn & Profile Optimization

Interview Readiness Training

Machine Learning & AI Certification

Benefits of Netmax Certificate
Certify Your Skills

Netmax Industry-oriented  Certificate validates the practical skills you have gained during training

Stand out from the competition

Add your Netmax Certificate to your resume and Linkedin profile to stay ahead of the competition

Advance in your Carrer

Share your Certification with employers to highlight your capabilities & Job ready Proficiency

Netmax Technologies Course Completion Certificate

Our Student's Reviews

Learn In-demand skills with Job oriented Courses

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Netmax Technologies trainees got placed at

We at Netmax Technology provide Job Assistance and most of the students have secure their job in various companies. We have tieups with many companies in Tricity. 

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Machine Learning & AI Course Description

What is machine learning?

Machine Learning is considered the branch of computer science and AI artificial intelligence because it focus on the use of algorithms and data. So they can learn, imitate human learning, and also improve accuracy.

Machine learning is a computer algorithm that can improve by itself with the help of past experiences and user data. In addition, it is used in email filtering, voice recognition, computer vision, and several other self-learned operations.

Future Scope of Machine learning & AI

The future scope of Machine Learning is vast, with increasing demand across industries like healthcare, finance, and technology. As businesses embrace AI-driven solutions, expertise in Machine Learning ensures a thriving career in data science, automation, and innovation. Stay ahead with skills that are shaping the future of technology.

How much does a Machine learning engineer make?

The national average salary for a Machine learning engineer is ₹11,00,000 in India so filter by location to see Machine learning engineer salaries in your area so Salary estimates are based on 1,977 salaries submitted anonymously to Glassdoor by Machine learning engineer employees.

Frequently Asked Questions

What is the duration of the Machine learning course ?

The course is available for the duration of both 45 days and 3 months including 1.5 hours of classroom training and 1.5 hours of practical assignments.

For this course, there are no particular requirements. However, having a basic understanding of computers and the internet is helpful.

We provide classes both in-person and online. The format that best meets your needs can be selected.

What topics are covered in the Machine Learning course?

The course covers a wide range of topics, details of which can be found on our website.

Yes, you will receive a certification from our institute after completing the course successfully.

You will gain practical expertise with a range of website strategies and tools through the completion of case studies, real-world projects, and assignments.

Who are the instructors for the course?

Our professors are professionals in the field with years of experience. They bring practical knowledge and real-world insights to the classroom.

You will be able to communicate with teachers and other students in one-on-one mentorship sessions.

Yes, we provide career support by helping in resume building, interview preparation, and job placement assistance.

How do I enroll in the ML training course?

By going to our website and completing the online registration form, you can register. As an alternative, you can come to our institute to finish the registration procedure.

Completing an application, attending a brief interview, and paying the course price are all part of the admissions process.

Yes, we occasionally give out a variety of discounts. To learn more, please get in touch with our admissions office.

What kind of job roles can I expect after completing the Machine learning and AI course?

Completing the Machine Learning and Artificial Intelligence Course in Chandigarh at Netmax opens up various career opportunities:

  • AI Engineer: Work on creating and deploying AI models.
  • Machine Learning Engineer: Build systems that can learn from data and improve over time.
  • Data Scientist: Apply AI and ML techniques to extract insights from data.

Yes, we offer job placement assistance through our network of industry partners.