• Admission Date
    Announcing Soon
  • Program Duration

    11 months

  • Learning FormatLive, Online, Interactive

AI ML Course Highlights

Master industry-relevant AI skills through live classes led by seasoned experts, masterclasses conducted by IIT Kanpur faculty, and practical hands-on projects.

  • Leverage the prestige of IIT Kanpur

    Live interactive masterclasses led by IIT Kanpur faculty

    Program completion certificate from E&ICT Academy, IIT Kanpur

  • Gain Industry-Relevant Experience

    Curriculum delivered in live online classes by seasoned industry experts

    Applied learning via 15+ hands-on industry-relevant projects

  • Explore Latest AI Advancements

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

    Trophy and badges for ‘Microsoft Azure AI Fundamentals’ on Microsoft Learn Portal

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Program Outcomes

Program CertificateProgram Certificate
  • Program completion certificate from E&ICT Academy, IIT Kanpur
  • Masterclasses delivered by eminent IIT Kanpur faculty
  • Applied learning through 15+ hands-on projects and tools
  • Exposure to ChatGPT, Hugging Face, DALL-E 2, Gemini, and other tools

AI ML Course Curriculum

  • 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

    Gain vital Python skills essential for the program's entirety. Utilize Python to proficiently execute algorithms, analyze data, and construct intelligent systems with efficacy.

  • IITK AIML - Applied Data Science with Python

    This course encompasses fundamental data science principles such as data preparation, model development, and evaluation, alongside essential Python concepts like strings, Lambda functions, and lists. Dive into NumPy, linear algebra, statistical concepts (including central tendency, dispersion, skewness, covariance, and correlation), as well as hypothesis testing methods like Z-test, T-test, and ANOVA.

  • IITK AIML - Machine Learning

    Prepare to delve into the realm of machine learning! This course explores diverse types of machine learning and their practical applications. You'll study the machine learning pipeline, focusing on supervised learning with regression models and classification algorithms. Additionally, we'll cover unsupervised learning, emphasizing clustering techniques and ensemble modeling. Furthermore, you'll evaluate frameworks such as TensorFlow and Keras, and gain hands-on experience.

  • IITK AIML - Deep Learning with Keras and TensorFlow

    Explore the fundamentals and applications of deep learning, discerning its differentiation from machine learning. Covered topics encompass neural networks, forward/backward propagation, TensorFlow 2, Keras, performance optimization, model interpretability, CNNs, transfer learning, object detection, RNNs, autoencoders, and PyTorch.

  • IITK AIML - Essentials of GenAI, Prompt Engineering & ChatGPT

    This course offers an extensive exploration of cutting-edge AI concepts, including generative AI, prompt engineering, LLMs, and ChatGPT, among others. Participants will attain a deep practical understanding of these topics, learning how to effectively apply them across various business contexts. Additionally, the course delves into the intricate workings of prompt engineering and its pivotal role in crafting customized outputs to meet specific needs.

  • IITK AIML - Advanced Generative AI

    Embark on an exploration of the creative capacities of artificial intelligence through this Generative AI course. Immerse yourself in the captivating realm of generative models, such as Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs), alongside revolutionary Large Language Models (LLMs) and Transformer architectures. Delve into attention mechanisms, discovering their role in enhancing AI model 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

    This advanced course offers in-depth knowledge and practical skills in the field of computer vision and deep learning techniques. It covers a wide range of topics, including image formation and processing, convolutional neural networks, object detection, image segmentation, generative models, optical character recognition, distributed and parallel computing, explainable AI, and deploying deep learning models.

  • IITK AIML - NLP and Speech Recognition

    In this advanced course, you will delve into the science of applying machine learning algorithms to process vast amounts of natural language data. The primary focus is on natural language understanding, feature engineering, natural language generation, automated speech recognition, speech-to-text conversion, text-to-speech conversion, and voice assistance devices.

  • IITK AIML - Reinforcement Learning

    This course explores the core concepts of reinforcement learning in-depth. You will learn how to solve reinforcement learning problems using various strategies, leveraging Python and TensorFlow to understand the theory behind it. By the end of the course, you will have acquired the skills to effectively use reinforcement learning algorithms as a problem-solving strategy, enabling you to tackle complex tasks and make informed decisions.

  • IITK AIML - Microsoft Azure AI Fundamentals

    This course provides an introduction to the basic concepts of artificial intelligence (AI) and the Microsoft Azure services that can be utilized to develop AI solutions. It’s not intended to train students to become professional data scientists or software developers, but to increase understanding of typical AI tasks and the Azure services that can handle them. The course format is self-paced with online resources on the Microsoft Learn platform.

Skills Covered

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

Tools Covered

python
ChatGPT
Open AI
Gemini
Hugging Face
Dalle.2
Gradio
Langchain
tensorflow
keras
NLKT
NumPy
ScikitLearn
MatPlotlib
Django-n
Open CV
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Industry Projects

Machine Learning Program Advisor

AI ML Course Fee

Program Fee $ 2,500

Pay in Installments

As low as

You can pay monthly installments using Splitit, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.

Eligibility Criteria

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

Best Suited For

  • IT Professionals
  • Software Engineers
  • Technical Product Managers
  • Consultants
  • AI/ML Engineers

How to Apply For Machine Learning Course

  • STEP 1Submit Application

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

  • STEP 2Application Review

    An admission panel will shortlist candidates based on their application

  • STEP 3Admission

    Selected candidates can join the program by paying the admission fee

Demand for Program

Today, artificial intelligence (AI) and machine learning (ML) have become front-runners spearheading changes in our daily lives. There is a booming job market for professionals with AI ML certification as more companies move towards advanced automation. Moreover, several companies are training their workforce using AI ML courses to bridge the demand-supply gap due to the acute shortage of skilled AI ML professionals.

E&ICT Academy, IIT Kanpur’s Professional Certificate Course in AI and Machine Learning is one of the best AI and ML courses online. You can get a valuable course completion certificate from E&ICT Academy, IIT Kanpur, and undergo hands-on training via 25+ industry projects and 3 capstones. Moreover, you can learn topics such as ChatGPT, computer vision, deep learning, ensemble methods, and more. Reputed IIT Kanpur faculty and industry pioneers lead live classes in this AI Ml course. 

Machine Learning Course Online FAQs

  • What is the significance of an AI ML Course for individuals interested in machine learning?

    An AI ML course is significant for individuals interested in machine learning as it provides them with a structured learning path to acquire essential skills and knowledge in the field. The course encompasses comprehensive modules on the principles, algorithms, and techniques used in AI and machine learning.

  • How can a machine learning course help individuals develop their skills in AI and ML?

    A machine learning course helps individuals develop their skills in AI and ML by offering a systematic approach to learning key concepts, algorithms, and tools. The AI ML course provides hands-on experience through practical exercises and projects, allowing learners to develop proficiency in data preprocessing, feature selection, model training, evaluation, and deployment.

  • What are the key factors to consider when choosing a machine learning course?

    When choosing an AI ML course, key factors to consider include the course curriculum, practical applications and projects, faculty expertise, industry relevance, availability of hands-on training with popular tools and libraries, flexibility in learning options, and the reputation of the institution offering the machine learning course. It is also essential to assess whether the machine learning course covers various techniques and applications to ensure a comprehensive learning experience.

  • Are there any online options available for machine learning courses?

    Yes, there are online options available for machine learning courses. Taking a Machine learning course online provides flexibility in terms of learning at one's own pace and convenience. For instance, the online Professional Certificate Course in AI and Machine Learning offered by E&ICT, IIT Kanpur, provides video lectures, interactive assignments, virtual labs, and live virtual classes to facilitate effective learning.

  • What topics are taught in this AI ML Course?

    The AI and machine learning course from E&ICT, IIT Kanpur, covers important topics such as Mathematical and Statistical Foundations, programming basics, Applied Data Science with Python, Machine Learning, Deep Learning with Keras and TensorFlow, the Essentials of Generative AI, prompt Engineering, ChatGPT, and a Capstone project.

  • Are there any prerequisites for enrolling in the machine learning course by E&ICT, IIT Kanpur?

    To enroll in E&ICT, IIT Kanpur's AI ML Course, you should have completed a Bachelor's degree in any subject with at least 50% or equivalent marks. You must have prior knowledge in mathematics, including linear algebra, calculus, statistics, and probability concepts, along with programming knowledge. Additionally, two years of work experience in any formal domain is recommended but not mandatory.

  • How do different machine learning courses' syllabus and learning outcomes vary?

    Different machine learning courses' syllabus and learning outcomes can vary based on the institution and program. An AI ML course must ideally cover fundamental topics such as regression, classification, clustering, and model evaluation, advanced techniques (e.g., deep learning, natural language processing, reinforcement learning, generative AI, etc.), and practical applications to be worth your time and money. You can download the AI ML course syllabus from this page.

  • What are the benefits of an online ML course compared to traditional classroom-based courses?

    Pursuing a Machine learning course online provides flexibility, allowing learners to study at their own pace and schedule. They also offer access to many online resources, including video lectures, interactive exercises, and live virtual classes. Online courses often feature practical assignments and projects that can be completed remotely, enabling hands-on experience. Additionally, machine learning courses online offer the opportunity to learn from renowned instructors and collaborate with a global community of learners.

IIT Kanpur and Simplilearn Collaboration

Established in 1959, IIT Kanpur is one of the most prestigious institutes in India. It has consistently ranked among the top 5 engineering institutes in India over the past several decades, and many of the institute’s alumni are leaders in academia and industry around the globe. IIT Kanpur offers courses in sciences, engineering, humanities, and management. 

E & ICT Academy, IIT Kanpur has collaborated with Simplilearn to deliver this program. Simplilearn's award-winning immersive learning model delivered via live virtual classes focuses on applied learning to create immediate career impact.

IIT Kanpur and Simplilearn Collaboration