• 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

Corporate Training

Enterprise training for teams

GenAI & Machine Learning Course Overview

The Generative AI and Machine Learning course enriches your career with comprehensive coverage of machine learning, deep learning, NLP, generative AI, reinforcement learning, computer vision, and more. Combining theory with hands-on practice, it features live virtual sessions, projects with integrated labs, and masterclasses by eminent IIT Kanpur faculty.

Key Features

  • Program completion certificate from E&ICT Academy, IIT Kanpur
  • 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 Certification 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
    • 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
  • 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
    • 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

1-844-532-7688

( 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.

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An Immersive Learning Experience

Peer to Peer engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Peer to Peer engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Mentoring session(s)
Learning Support

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.

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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
    Amazon
    Cognizant
    Infosys
    Tata Consultancy Services
    Genpact
    Accenture
    Deloitte
    PricewaterhouseCoopers
    Ernst & Young
    Dell
    Citigroup
    Wells Fargo

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 $2,500

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

$2,500

Pay In Installments, as low as

$250/month

You can pay monthly installments for Post Graduate Programs using Splitit or Klarna payment option with low APR and no hidden fees.

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 Online FAQs

  • What is this Gen AI and machine learning course?

    Simplilearn’s Gen AI and machine learning course focuses primarily on teaching the fundamentals of generative AI, giving you insights into content generation, predictive analytics, and automation. It includes modules on creating new data (like text, images, or audio) using ML models and the broader principles of machine learning. The course also covers topics like:

    • Supervised and unsupervised learning,

    • Neural networks,

    • Deep learning

    • Generative Adversarial Networks (GANs)

    This course aims to equip you with the skills to build, train, and apply AI models effectively. One of the benefits of this course is that by the end of this certification you will know clearly what is machine learning and get hands on experience and machine learning models.

  •  What does an AI professional do?

    AI professionals design, develop, and implement artificial intelligence models and algorithms to solve complex problems in daily activities, improve system performance, and drive innovation. They are usually proficient in machine learning, deep learning, and natural language processing techniques and are used to build intelligent systems for data analysis, automation, and decision-making. AI professionals are also known to collaborate with other teams to integrate AI into business processes, optimize models, and ensure ethical AI practices.

  • How effective are the trainers at Simplilearn?

    The trainers at Simplilearn are highly educated and experienced, bringing a wealth of real-world experience and in-depth knowledge to their sessions. They excel at breaking down complex topics into manageable, understandable segments, ensuring that learners not only grasp the concepts but also apply them to practice in the future. Their engaging teaching methods and responsiveness to queries further enhance the learning experience.

  • What are the benefits of enrolling in the gen AI and machine learning program?

    This gen AI and machine learning program helps you gain a solid foundation in advanced AI techniques like generative models and machine learning algorithms. It teaches learners the practical skills to build AI-powered systems, thus opening up career opportunities in AI development, data science, and automation.

    Some of the course benefits include:

    • A certificate of completion from E&ICT, IIT K.
    • Applied learning through 25+ hands-on projects
    • The opportunity to engage in 20+ tools with seamless access to integrated labs
    • Exposure to popular tools ChatGPT, Hugging Face, DALL-E 2, and Gemini

  • What certificate will I receive?

    Upon successful completion of this AI and Machine Learning Certification, 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.

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

    This Machine Learning Course is entirely online, so there's no need to be in a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or mobile.

  • 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 Certification.

  • How do I enroll in the Professional Certificate Course in Generative AI And Machine Learning?

    To enroll in the Professional Certificate Course in Generative AI and Machine Learning, simply follow these three steps.

    • First, candidates must submit an application detailing their motivation for the course.

    • Next, an admission panel will review the applications and shortlist candidates based on their submissions.

    • Finally, selected candidates can begin the course within 1-2 weeks.

    Please note that upon selection, candidates must pay the course fee using any preferred payment option available before beginning their learning journey.

  • I am not able to access the Machine Learning Certification Course. 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 will be the expected salary range after completing the Machine Learning Certification?

    Remember that your earning potential after a machine learning course can vary based on factors like location, experience, and the specific role you pursue. After completing this gen AI and machine learning course, you can typically expect to earn an average annual salary of INR 10.4 Lakhs (Source: ambitionbox) in India.

  • What will be the career path after completing the Machine Learning Course?

    Artificial intelligence and machine learning have been and will continue to be in high demand. Completing this course will you all the necessary skills and open the doors to some top job roles, including:

    • Data scientist

    • Machine learning engineer

    • NLP scientist,

    • Computer vision engineer

    • Data architect

  • What is the refund policy for this program?

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

  • What skills will you get from this Generative AI & Machine learning course?

    This machine learning course covers some of the most important technical skills like statistics, Python programming, supervised learning, unsupervised learning, neural networks, deep learning, recommendation systems, speech recognition, computer vision, and NLP.

  • Is this Generative AI & Machine learning course suitable for freshers?

    Indeed, this machine learning course is suitable for freshers and requires no prior experience.

  • Does Simplilearn have corporate training solutions?

    Simplilearn for Business works with Fortune 500 and mid-sized companies to provide their workforce with digital skills solutions for talent development. We offer diverse corporate training solutions, from short skill-based certification training to role-based learning paths. We also offer Simplilearn Learning Hub+ - a learning library with unlimited live and interactive solutions for the entire organization. Our curriculum consultants work with each client to select and deploy the learning solutions that best meet their teams’ needs and objectives.

  • Are there any other online courses Simplilearn offers under AI & Machine Learning?

    Absolutely! Simplilearn offers plenty of options to help you upskill in  AI & Machine Learning. You can take advanced certification training courses or niche courses to sharpen specific skills. Whether you want to master new tools or stay ahead with the latest trends, there's something for everyone. These courses are designed to elevate your knowledge and keep you competitive in the  AI & Machine Learning field.

    Similar programs that we offer under  AI & Machine Learning

  • Will missing a live class affect my ability to complete the course?

    No, missing a live class will not affect your ability to complete the course. With our 'flexi-learn' feature, you can watch the recorded session of any missed class at your convenience. This allows you to stay up-to-date with the course content and meet the necessary requirements to progress and earn your certificate. Simply visit the Simplilearn learning platform, select the missed class, and watch the recording to have your attendance marked.

  • What are the eligibility criteria to enroll in this Professional Certificate Course in Generative AI and Machine Learning?

    Simplilearn’s  Professional Certificate Course in Generative AI and Machine Learning is best suited for newcomers and experienced professionals. To be eligible to enroll in this course, applicants must have a bachelor's degree in any relevant field. A basic understanding of artificial intelligence is preferred but is not mandatory. Prior working experience is not compulsory.

  • What is the review of Simplilearn’s Professional Certificate Course in Generative AI and Machine Learning?

    Simplilearn continually receives positive reviews from its alumni for its Professional Certificate Course in Generative AI and Machine Learning. Learners praise its practical, hands-on approach, industry-aligned curriculum, and expert instructors. Many users highlight the value of the globally recognized certificates and the flexible learning options that suit working professionals. You can check out the Simplilearn alumni review page to get a better understanding of Simplilearn’s Professional Certificate Course in Generative AI and Machine Learning.

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  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.