• Admission Date

    Announcing Soon

  • Program duration

    11 months

  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Earn an Elite Certificate

    Receive a certificate of program completion from E&ICT Academy, IIT Kanpur

    Receive a certificate of program completion from E&ICT Academy, IIT Kanpur

  • icons
    Unlock Exclusive Opportunities

    Engage in live virtual masterclasses delivered by IIT Kanpur faculty

  • icons
    Experience Hands-on Learning

    Applied learning through 15+ hands-on projects and tools with seamless access to integrated labs

  • icons
    Learn Popular GenAI Tools

    Exposure to ChatGPT, Hugging Face, DALL-E 2, Gemini, and other prominent tools

Take the first step to your goals

Lifetime access to self-paced e learning content

Corporate Training

Enterprise training for teams

Fast-track Your Career

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

Learner’s achievements

Maximum salary hike

150%

Average salary hike

70%

Hiring partners

2900+

Our Alumni In Top Companies

GenAI & 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 Bangalore 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
  • Curriculum delivered in live virtual classroom sessions by seasoned industry experts
  • Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
  • Interactive live-virtual masterclasses presented by esteemed IIT Kanpur faculty
  • Practical learning through 15+ hands-on projects and industry relevant tools
  • Access to a wide array of AI tools such as ChatGPT, DALL-E 2, TensorFlow, Keras, and more
  • Earn official trophy and badges for ‘Microsoft Azure AI Fundamentals’ on the Microsoft Learn portal

Machine Learning Course Advantage

Our curriculum empowers you with the expertise needed to thrive in your career. Through systematic learning and practical industry projects, you'll adeptly address intricate challenges and remain at the forefront of the AI & ML field.

  • Program Certificate

    Program Benefits

    • Program certificate directly issued by E&ICT Academy, IIT Kanpur within 45 days of your cohort end date
    • Live-online masterclasses delivered by IIT Kanpur faculty
    • Learn about the latest AI trends like generative AI, prompt engineering, ChatGPT and more
  • Microsoft Azure Certificate

    Partnering with Microsoft

    • Get official trophy and badges hosted on the Microsoft Learn portal
    • Acquire an official Microsoft learning path completion transcript

GenAI & Machine Learning Course Details

The program covers diverse subjects including Python programming, exploratory data analysis, supervised and unsupervised learning, deep learning, generative AI, prompt engineering, LLMs, NLP, and much more.

Learning Path

  • IITK AIML - Program Induction

    Commence your educational endeavor with our Generative AI and Machine Learning certificate course. Immerse yourself in a distinctive and comprehensive learning experience designed to delve into every facet of the generative AI and machine learning domain, providing you with the essential foundation required to launch your career ambitiously.

  • IITK AIML - Programming Refresher
    • Comprehensive grasp of procedural and OOP concepts
    • Installation of Python and IDE
    • Mastery in utilizing Jupyter Notebook
    • Implementation of identifiers, indentations, and comments
    • Identification of Python data types and operators
    • Understanding different types of Python loops
    • Exploration of variable scope within functions
    • Explanation and understanding of OOP characteristics
  • IITK AIML - Applied Data Science with Python
    • Introduction to data science and its practical applications
    • Grasp the essentials of NumPy
    • Investigation into array indexing and slicing techniques
    • Application of linear algebra principles in data analysis
    • Calculation of central tendency and dispersion measures
    • Explanation of null and alternative hypotheses
    • Exploration of various hypothesis testing methods including Z-test and T-test
    • Understanding the concept of ANOVA (Analysis of Variance)
    • Utilization of Pandas for data loading, indexing, reindexing, and merging
    • Data preparation, formatting, normalization, and standardization through data binning
    • Creation of graphical representations using Matplotlib, Seaborn, Plotly, and Bokeh
  • IITK AIML - Machine Learning
    • Investigate the machine learning pipeline and MLOps
    • Learn about supervised learning and its applications
    • Understand methods to identify and prevent overfitting and underfitting
    • Visualize variable linearity using correlation maps
    • Explore classification algorithms and their practical usage
    • Master various unsupervised learning techniques
    • Recognize suitable scenarios for unsupervised algorithms and types of clustering
    • Develop a recommendation engine using PyTorch
  • IITK AIML - Deep Learning with Keras and TensorFlow
    • Differentiate between deep learning and machine learning
    • Understand neural networks, including forward and backward propagation
    • Utilize TensorFlow 2 and Keras for model development
    • Enhance model performance and interpret results effectively
    • Explore convolutional neural networks (CNNs) and transfer learning for object detection
    • Learn about recurrent neural networks (RNNs) and autoencoders
  • IITK AIML - Essentials of GenAI, Prompt Engineering & ChatGPT
    • Cutting-edge knowledge: Explore generative AI, prompt engineering, and ChatGPT
    • Hands-on skills: Gain practical insights into real-world business applications
    • Effective GenAI utilization: Learn to apply Generative AI effectively in various scenarios
    • Master prompt engineering: Understand its importance in crafting customized outputs
  • IITK AIML - Advanced Generative AI
    • 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
    • Langchain and Workflow Design
    • Advanced Prompt Engineering Techniques
    • LLM Application Development
    • LLM Fine-Tuning and Customization
    • Benchmarking and Evaluation of LLM Capabilities
  • IITK AIML - Capstone

    At the end of the Machine learning course, participants embark on a capstone project, where they get to put their newfound skills into action. With guidance from mentors, they tackle real industry challenges head-on. This project isn't just the final stretch of their learning journey; it's also a chance to show off their abilities to potential employers in a real-world context.

Electives:
  • IITK AIML - Academic Masterclass by IIT Kanpur

    Engage in enlightening online interactive masterclasses led by distinguished faculty members from the esteemed institution of IIT Kanpur. These masterclasses provide invaluable insights into the latest advancements in technology and techniques across the expansive domains of Data Science, Artificial Intelligence (AI), Generative AI (GenAI), and Machine Learning. Through comprehensive discussions and presentations.

  • IITK AIML - ADL & Computer Vision
    • 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
  • IITK AIML - NLP and Speech Recognition
    • Explore machine learning algorithms for natural language processing
    • Focus on comprehension, feature design, and generation
    • Learn automated speech recognition and conversion techniques
    • Develop voice assistance tools, including Alexa skills creation
    • Emphasize practical application and implementation
  • IITK AIML - Reinforcement Learning
    • Learn foundational principles of reinforcement learning (RL)
    • Explore various RL approaches using Python and TensorFlow
    • Apply RL techniques and algorithms for problem-solving
    • Gain practical experience in tackling RL challenges
  • IITK AIML - Microsoft Azure AI Fundamentals

    - Describe Artificial Intelligence workloads and considerations
    - Describe fundamental principles of machine learning on Azure
    - Describe features of computer vision workloads on Azure
    - Describe features of Natural Language Processing (NLP) workloads on Azure
    - Describe features of generative AI workloads on Azure

Contact Us

1800-212-7688

( Toll Free )

15+ Skills Covered

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

16+ Tools Covered

pythonChatGPTOpen AIGeminiHugging FaceDalle.2GradioLangchaintensorflowkerasNLKTNumPyScikitLearnMatPlotlibDjango-nOpen CV

Industry Projects

  • Project 1

    MLB Digital Platform Enhancement

    Develop a backend for MLB's digital platform to manage player statistics, match schedules, and ticket bookings, and implement a report generation system to enhance performance.

  • Project 2

    EdTech Backend System

    Create backend modules for SL Tech's edtech platform to manage learner credentials, courses, and improve the overall learning experience.

  • Project 3

    Sales Strategy Analysis

    Analyze AAL's sales data across different Australian states to identify high-revenue states and develop sales programs for underperforming states.

  • Project 4

    Marketing Strategies with Exploratory Data Analysis

    Conduct exploratory data analysis and hypothesis testing to understand factors contributing to customer acquisition and enhance marketing strategies.

  • Project 5

    Predicting Employee Attrition with Machine Learning

    Build a machine learning model to predict employee attrition by analyzing work habits and factors influencing their desire to stay with the company.

  • Project 6

    Song Classification with Cluster Analysis

    Perform cluster analysis to create personalized song playlists for users based on their listening behavior.

  • Project 7

    Home Loan Data Analysis

    Develop a deep learning model to predict the likelihood of loan defaults using historical data, ensuring a secure lending process.

  • Project 8

    Lending Club Loan Data Analysis

    Create a deep learning model to predict loan defaults using historical data, addressing an imbalanced dataset with numerous features.

  • Project 9

    ChatGPT Based Storytelling

    Design an interactive storytelling adventure using ChatGPT to create unique and engaging narratives without coding collaboratively.

  • Project 10

    Virtual Project Management Consultant

    Develop prompts for ChatGPT to function as a virtual project management consultant, providing advice on project planning, risk management, team collaboration, and performance.

  • Project 11

    AIPowered HR Assistant with GPT and Gradio

    Develop an AI-driven HR assistant that extracts answers from Nestle’s HR policy documents using OpenAI's GPT model and Gradio UI.

  • Project 12

    TexttoDesign Platform with DALLE and Gradio

    Create a platform that transforms text prompts into striking designs using OpenAI’s DALL-E and Gradio UI. Explore AI’s impact on digital content creation for marketing.

  • Project 13

    Road Safety Analysis of Autopilot Feature

    Analyze accident data involving Tesla’s autopilot feature to assess the impact of autopilot technology on road safety.

  • Project 14

    AI Recommendation Engine for Marketing

    Use AI to understand the state of historical structures and recommend the best places to visit to tourists.

  • Project 15

    Predict the Demand and Sales of a Restaurant

    Predict demand for various items across restaurants using machine learning and deep learning algorithms to forecast sales over time.

  • Project 16

    Diabetic Retinopathy Detection with CNN and TensorFlow

    Use distributed training and TensorFlow serving to build and deploy a CNN model for automated diabetic retinopathy detection.

  • Project 17

    Build Facial Recognition System with Deep Learning

    Leverage deep learning algorithms to develop a facial recognition model that assists in diagnosing genetic disorders and their variations in patients

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

prevNext

Program Advisors

  • Ankit Virmani

    Ankit Virmani

    Data & ML Leader at Google

    Ankit is an ethical AI and data engineering enthusiast with 10+ years of experience at firms like Google, Amazon, and Deloitte. He serves as a member of the Forbes Technology Council, IU's Institute of Business Analytics, and AI 2030.

  • Amitendra Srivastava

    Amitendra Srivastava

    Chief Data Scientist at Intelytica

    Amitendra’s expertise lies in utilizing data analysis and machine learning techniques to solve complex business problems and drive strategic decisions. As Chief Data Scientist, he leverages the power of data to create value and drive innovation.

  • Raghav Goel

    Raghav Goel

    Generative AI & Data Science Consultant

    A passionate and successful corporate trainer who has delivered 150+ training sessions for corporates in India, Middle East, USA, and South East Asia for corporate clients like Publicis Sapient, KPMG, Capgemini, Coforge, ITC, DXC, Huawei, and IBM.

  • Arijit Mitra

    Arijit Mitra

    Director and Head of Machine Learning & AI at Pegasystems

    Arijit is an engineering & product leader with expertise in building and deploying AI, NLP, GPT & LLMs at scale for Fortune 500 companies. As head of AI & ML at Pega, he owns the overall AI roadmap with a focus on AI applications across functions.

prevNext

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

The demand for AI Engineers is skyrocketing, projected to increase by around 20% in new job opportunities. IBM forecasts a substantial rise in AI, with an estimated 2.5 to 3 million specialized roles expected to emerge in this field.

Job Icon$267 billion

Expected Global AI Market Value By 2027

Source: Fortune Business
Job Icon40.2%

The annual growth rate for the global AI market

Source: Grandview Research
Job Icon$15.7 trillion

Expected Total Contribution Of AI To The Global Economy By 2030

Source: PwC Global

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.

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

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.

STEP 1

Submit Application

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

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

Selected candidates can join the program by paying the admission fee

Eligibility Criteria

For admission to this GenAI and Machine Learning Course, candidates should have:

A bachelor's degree with an average of 50 percent or higher marks
Basic understanding of mathematics and programming concepts
Preferably, 2+ years of formal work experience

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.

Total Program Fee

₹ 1,53,400

Pay In Installments, as low as

₹ 6,869/month

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

Apply Now

Program Benefits

  • Certificate from E&ICT Academy, IIT Kanpur
  • Masterclasses by distinguished IIT Kanpur faculty
  • Exposure to ChatGPT, DALL-E 2, Hugging Face & other tools
  • Hands-on learning via 165+ exercises and 15+ projects
  • Simplilearn's Job Assist for career support

Program Cohorts

There are no cohorts available in your region currently

Got questions regarding upcoming cohort dates?

Machine Learning Course FAQs

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

    For admission to this IIT Machine Learning Course in Bangalore, 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 Bangalore 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 Bangalore?

    The admission process for this IIT Machine Learning Course in Bangalore 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 Bangalore?

    As a part of this Best Machine Learning Course in Bangalore 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 Bangalore, 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 Bangalore?

    The Machine Learning Online Course in Bangalore 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 Bangalore 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 Bangalore.

  • I am not able to access the Machine Learning Course in Bangalore. 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 Bangalore 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 Bangalore?

    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 Bangalore 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 Bangalore?

    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 Bangalore gives you all the necessary skills to become eligible for such roles.

  • What is the refund policy for this program?

    To learn more about cancellation refund, please read our Refund Policy

Related Programs

Find AI & Machine Learning Programs in Bangalore

Post Graduate Program in AI and Machine Learning
  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.