• Admission Date Announcing Soon
  • Program Duration 11 months
  • Learning Format Online Bootcamp

Why Join this Program

IIT Kanpur’s Advantage

Live classes by industry experts along with Masterclasses by distinguished IIT-Kanpur faculty

Exposure to Latest AI Trends

Live online classes for generative AI, prompt engineering, explainable AI, ChatGPT, and much more

Hands-on Experience

Gain experience through 25+ hands-on projects and 20+ tools with seamless access to integrated labs

Simplilearn Career Assistance

Build your Resume and highlight your profile to recruiters with the spotlight on IIM jobs


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Fast-track Your Career

After completing Simplilearn courses, learners have made successful career transitions, boosted career growth, and got salary hikes.

Learner’s achievements

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Hiring partners


Our Alumni In Top Companies

Machine Learning Course Overview

We have curated our curriculum to include crucial topics like Statistics, Machine Learning and many more. Taught through hands-on labs and industry-relevant projects designed to advance your career trajectory, this AI and Machine Learning Course in Chandigarh will simplify AI and Machine Learning and equip you with the required skills to get you job ready.

Key Features

  • Program completion certificate from E&ICT Academy, IIT Kanpur
  • Simplilearn's JobAssist helps you get noticed by top hiring companies
  • Attend live interactive sessions for the latest AI trends such as ChatGPT, generative AI, explainable AI, and more
  • Masterclasses delivered by distinguished IIT Kanpur faculty
  • 25+ hands-on projects with seamless access to integrated labs
  • Comprehensive curriculum with a wide array of AI tools and technologies such as ChatGPT, Django, Flask, Keras, and more
  • Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other tools
  • Capstone projects in 3 domains
  • Regular live online classes conducted by experienced industry experts

Machine Learning Course Advantage

This AI and Machine Learning online course is an all-encompassing course offered by Simplilearn in collaboration with E&ICT Academy, IIT Kanpur. Join this best Machine Learning Course and master various skills to excel in your work.

  • Program Certificate

    Program Benefits

    • E&ICT Academy, IIT Kanpur will issue your program certificate directly within 90 days of program completion.
    • Masterclasses delivered by distinguished IIT Kanpur faculty
    • Exposure to latest trends like generative AI, prompt engineering, ChatGPT and more

Machine Learning Online Course Details

This state-of-the-art Machine Learning course offers modules that can help you kickstart a thriving career in AI and ML. You'll also have the opportunity to delve into cutting-edge AI topics such as generative AI, ChatGPT, GPT models, and explainable AI.

Learning Path

  • Get started with the Machine Learning Course, explore everything about the program and kickstart your AI and Machine Learning journey through this introductory session.

    • Grasp AI and generative AI model basics and their workings.
    • Recognize the importance of explainable AI.
    • Utilize prompt engineering to enhance generative AI models.
    • Understand ChatGPT mechanics, features, and limitations.
    • Explore varied ChatGPT applications and use scenarios.
    • Gain foresight into generative AI's future and challenges.
    • Understand procedural and object-oriented programming.
    • Discover Python's benefits and advantages.
    • Set up Python and its Integrated Development Environment (IDE).
    • Familiarize with Jupyter Notebook.
    • Apply Python's identifiers, indentations, and comments.
    • Recognize Python data types, operators, and string functions.
    • Learn various types of loops in Python.
    • Understand variable scope within functions.
    • Explain Object-Oriented Programming (OOP) principles.
    • Define methods, attributes, and access modifiers in OOP.
    • Explain the basics of data science and its applications
    • Understand the fundamentals of NumPy
    • Explore array indexing and slicing
    • Apply the principles of linear algebra
    • Calculate the measures of central tendency and dispersion
    • Describe the null hypothesis and alternate hypothesis
    • Examine different hypothesis tests like Z-test and T-test
    • Describe the concept of ANOVA
    • Use Pandas to load, index, reindex, and merge data 
    • Prepare the data and then format, normalize, and standardize it using data binning
    • Construct a graph using Matplotlib, Seaborn, Plotly, and Bokeh
    • Explore the machine learning pipeline and MLOps.
    • Study supervised learning and its practical uses.
    • Grasp techniques to detect and prevent overfitting and underfitting.
    • Detect and visualize variable linearity via correlation maps.
    • Outline classification algorithms and their real-world applications.
    • Gain expertise in various unsupervised learning approaches.
    • Recognize scenarios for unsupervised algorithms and types of clustering.
    • Create a recommendation engine with PyTorch.
    • Differentiate deep learning from machine learning.
    • Explore various neural network types.
    • Learn forward and backward propagation in deep neural networks.
    • Introduce modeling and enhancing performance in deep learning.
    • Understand hyperparameter tuning and model interpretability.
    • Implement dropout and early stopping techniques.
    • Master CNNs and object detection.
    • Grasp the fundamentals of RNNs.
    • Learn PyTorch basics and create neural networks with it.
  • The capstone project will allow you to implement the skills you will learn throughout this program. You will solve industry-specific challenges by leveraging various AI and ML techniques learned across various modules in the program. This project will help you showcase your expertise to potential employers.

  • Attend an online interactive masterclass delivered by IIT Kanpur faculty and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning

    • Attain a thorough understanding of computer vision.
    • Develop expertise in complex neural network architectures.
    • Learn image creation and manipulation techniques.
    • Explore CNNs for essential image analysis.
    • Master object recognition and localization using CNNs.
    • Apply OCR methods for document digitization.
    • Gain insights into eXplainable AI (XAI) techniques.
    • Efficiently deploy deep learning models.
    • Study feature engineering for relevant text data extraction.
    • Enhance skills in natural language generation.
    • Delve into Automated Speech Recognition (ASR).
    • Focus on transcribing speech into written text.
    • Master text-to-speech techniques.
    • Build voice-enabled devices and Alexa skills.
    • Address challenges in NLP and speech recognition.
    • Gain a profound understanding of Reinforcement Learning (RL) principles.
    • Acquire Python and TensorFlow skills for RL problem-solving.
    • Explore strategies and algorithms for RL challenges.
    • Emphasize establishing a robust RL theoretical base.
    • Develop expertise in using RL for effective problem-solving.
    • Apply RL algorithms to solve complex real-world issues.
    • Transformers' significance in modern AI.
    • Neural networks' suitability for generative tasks.
    • Differentiate generative model types: VAEs, GANs, transformers, autoencoders.
    • Appropriate scenarios for diverse generative AI models.
    • Assess attention mechanisms' efficacy in generative tasks.
    • Analyze GPT and BERT, contrasting their architectural goals in generative AI.

Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Explainable AI
  • Machine Learning Algorithms
  • Supervised and Unsupervised Learning
  • Model Training and Optimization
  • Model Evaluation and Validation
  • Ensemble Methods
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Speech Recognition
  • Statistics

Tools Covered

pythonNLKTtensorflowkerasChatGPTMatPlotlibScikitLearnFlaskOpen CVDalle.2Mid-journeykubernetesDjango-n


  • Project 1


    Develop a shopping app for an E-commerce company using Python.

  • Project 2

    Food Service

    Use data science techniques like time series forecasting, to help a data analytics company forecast demand for different items across restaurants.

  • Project 3


    Use exploratory data analysis and statistical techniques to understand the factors that contribute to customer acquisition for a retail firm.

  • Project 4


    Perform feature analysis to understand the features of water bottles using EDA and statistical techniques to understand their overall quality and sustainability.

  • Project 5

    Real Estate

    Use feature engineering to identify the top factors that influence price negotiations in the homebuying process.

  • Project 6


    Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.

  • Project 7

    Human Resources

    Build a machine learning model that predicts employee attrition rate at a company by identifying patterns in their work habits and desire to stay with the company.

  • Project 8


    Use deep learning concepts, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error and identifies the type of ship entering.

  • Project 9


    Use deep learning to construct a model that predicts potential loan defaulters and ensures secure and trustworthy lending opportunities for a financial institution.

  • Project 10


    Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.

  • Project 11


    Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.

  • Project 12


    Examine accident data involving Tesla’s auto-pilot feature to assess the correlation between road safety and the use of auto-pilot technology.

  • Project 13


    Use AI to categorize images of historical structures and conduct EDA to build a recommendation engine that improves marketing initiatives for historic locations.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.


Career Support

Simplilearn JobAssist Program

Simplilearn Job Assist program is an India Specific Offering in partnership with IIMJobs.The Program offers extended support to certified learners to land their dream jobs.
IIMJobs Pro-Membership of 6 months for free

IIMJobs Pro-Membership of 6 months for free

Resume building assistance to create a powerful resume

Resume building assistance to create a powerful resume

Spotlight on IIMJobs for highlighting your profile to recruiters

Spotlight on IIMJobs for highlighting your profile to recruiters

Industry Trends

Artificial Intelligence is the next digital frontier, with profound implications for business and society. 

Job Icon$202.57

The global AI market size is projected to reach $202.57 billion by 2026

Source: Fortune Business
Job Icon40.2%

The annual growth rate for the global AI market

Source: Grandview Research
Job Icon11mn

Job vacancies in the field of AI, ML, and Data Science by 2026.

Source: Forbes

Batch Profile

The diversity of our cohorts brings intensity to classroom conversations & interactions. Our AI and ML course caters to learners from an array of sectors and experiences.

  • The class consists of learners from excellent organizations and diverse industries
    IT - 40%Consultancy - 30%Other - 15%BFSI - 15%
     course learners from Amazon, Chandigarh
     course learners from Cognizant, Chandigarh
     course learners from Infosys, Chandigarh
     course learners from Tata Consultancy Services, Chandigarh
     course learners from Genpact, Chandigarh
     course learners from Accenture, Chandigarh
     course learners from Deloitte, Chandigarh
     course learners from PricewaterhouseCoopers, Chandigarh
     course learners from Ernst & Young, Chandigarh
     course learners from Dell, Chandigarh
     course learners from Citigroup, Chandigarh
     course learners from Wells Fargo, Chandigarh

Learner Reviews

Admission Details

Application Process

The application process consists of 3 simple steps. An offer of admission will be made to the selected candidates and can be accepted by the candidates by paying the admission fee.


Submit Application

Tell us a bit about yourself and why you want to do this course


Application Review

An admission panel will shortlist candidates based on their application



Selected candidates can join the program by paying the admission fee

Eligibility Criteria

For admission to this Artificial Intelligence Course, candidates should have:

A bachelor's degree with an average of 50 percent or higher marks
Preferably 2+ years of formal work experience
Prior knowledge or experience in programming and mathematics

Admission Fee & Financing

The admission fee for this AI and Machine Learning Course is ₹ 1,53,400 (Incl. taxes)

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Easy Financing Options

We have partnered with the following financing companies to provide competitive finance options at as low as 0% interest rates with no hidden cost.


Other Payment Options

We provide the following options for one-time payment

  • Internet
  • Credit/Debit

₹ 1,53,400

(Incl. taxes)

Apply Now

Program Benefits

  • Program certificate from E&ICT Academy, IIT Kanpur
  • Masterclasses delivered by distinguished IIT Kanpur faculty
  • Exposure to ChatGPT, explainable AI, generative AI and more
  • 25+ hands-on projects with capstone in 3 domains
  • Simplilearn’s Job Assist

Program Cohorts

There are no cohorts available in your region currently

Got questions regarding upcoming cohort dates?

Machine Learning Certification FAQs

  • What are the eligibility criteria for this AI and Machine Learning Course in Chandigarh?

    For admission to this IIT Machine Learning Course in Chandigarh, candidates should have:

    • A bachelor's degree with an average of 50 percent or higher marks
    • Prior knowledge or experience in programming and mathematics 
    • Preferably 2+ years of formal work experience

  • Who is this Machine Learning Course in Chandigarh ideal for?

    Professionals eager to develop AI and ML expertise with the objective of: 

    • Enhancing effectiveness in their current role
    • Transitioning to AI roles in their organization
    • Seeking to advance their career in the industry
    • Giving shape to entrepreneurial aspirations

  • What is the admission process for this Machine Learning Online Course in Chandigarh?

    The admission process for this Machine Learning Course in Chandigarh consists of three simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist the candidates based on their application
    • An offer of admission will be made to the selected candidates, which can then be accepted by the candidate by paying the Machine Learning Course fee

  • What should I expect from this Machine Learning Course in Chandigarh?

    As a part of this Best Machine Learning Course in Chandigarh you will receive the following:

    • Masterclasses delivered by distinguished IIT Kanpur faculty
    • Program completion certificate from E&ICT Academy, IIT Kanpur
    • Career assistance post completion of this ML program
    • Active recruiters include: Amazon, Google, Microsoft, and more

  • What certificate will I receive?

    Upon successful completion of this AI and Machine Learning Course in Chandigarh, you will be awarded a certificate of completion by E&ICT Academy, IIT Kanpur, along with industry-recognized certification from Simplilearn for courses in the learning path.

  • How long does it take to complete this Machine Learning Course in Chandigarh?

    The Machine Learning Online Course in Chandigarh could be completed according to your schedule but the anticipated time to complete the overall program is 11 months.

  • Is this course really 100% online? Do I need to attend any classes in person?

    This AI and Machine Learning Course in Chandigarh is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • What is covered under the 24/7 Support promise?

     We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after the completion of your Machine Learning Course in Chandigarh.

  • I am not able to access the Machine Learning Course in Chandigarh. Who can help me?

    Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.

  • What are the different types of Machine Learning?

    Machine learning is generally divided into three types - Supervised Learning, Unsupervised Learning, and Reinforcement Learning. This Machine Learning course in Chandigarh gives you an in-depth understanding of all these three types of machine learning.

  • What is the career exposure after completing this Machine Learning course in Chandigarh?

    Machine learning has gained global traction and many are aspiring to start a career in this field. Jobs in AI and machine learning have grown around 75 percent over the past few years and Gartner predicts that there will be 2.3 million jobs in the field by 2022. Our Machine Learning Course in Chandigarh will give you all the necessary skills to work in this exciting field.

  • What are the job roles available after getting a machine learning certification in Chandigarh?

    Some of the top job roles in the field of Machine Learning are Data Scientist, Machine Learning Engineer, NLP Scientist, Computer Vision Engineer, and Data Architect. This Machine Learning course in Chandigarh gives you all the necessary skills to become eligible for such roles.

  • What is the refund policy for this program?

    In case you wish to cancel your enrollment and apply for a refund, you have to raise a refund request within 7 days of the first online live class held for the program whether attended by you or not. Your refund entitlement is void if you have either attended an Online Live Class or if you have received recordings for one or more live classes or if you have accessed more than 25% of the content of any e-learning course module or if you have downloaded any e-book. Notwithstanding the above, the booking fee paid by you towards securing your seat in the program shall be non-refundable under all circumstances. You have to raise requests for refund only with Simplilearn.

  • What are some of the topics/areas that will be covered in the masterclasses hosted by industry experts?

    The masterclasses will provide you with exposure to some of the latest trends in the AI space. Some of the areas covered could include:

    • Generative AI and its Applications
    • Leveraging the power of generative modeling to build innovative products 
    • OpenAI and its role in NLP and AI
    • Building and deploying GPT-powered applications
    • Demystifying ChatGPT, its architecture, training methodology, and business applications
    • ChatGPT best practices, limitations, and avenues for future development
    • Building real-world applications with the OpenAI API and ChatGPT 
    • Applications of ChatGPT, OpenAI, Dall-E, Midjourney & other tools
    • Explainable AI
    • Chatbots and their uses in companies such as Microsoft, Google, Meta, etc.  

    *Areas mentioned above are subject to change  

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