Advanced Certification in Artificial Intelligence and Machine Learning by IIT Kanpur

The Advanced Certification in Artificial Intelligence and Machine Learning program is one of the most comprehensive and state-of-the-art courses offered in the domain. This 500 learning hours program for working professionals and freshers is designed and delivered by faculty from IIT Kanpur and highly experienced industry experts.

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Accreditations / Approval

IIT Kanpur



10 Months



INR 2,14,900 + GST



Avail easy EMI options


Start Date

Every month


Advanced Certification in Artificial Intelligence and Machine Learning

This program is the perfect blend of academic rigour and significant industry exposure to equip you with remarkably advanced knowledge and futuristic skillsets, unmatched by any other such programs. This program aims to produce well-rounded data scientists and AI professionals with in-depth knowledge of mathematics, and statistics, expertise in relevant tools/languages, and an understanding of cutting-edge algorithms and applications. This domain offers one of the highest-paid job roles in the country. Artificial Intelligence and Machine learning are steadily increasing their impact as one of the most secure career choices.

Key highlights

IIT Kanpur (E&ICT Academy) Certification, an Institute of National importance


Master Classes by IIT Kanpur Faculty


Boot camp style training with 70% practical content


Become an Expert in Machine Learning, Deep Learning, Python, Tensorflow, Keras, and SQL


24x7 Access to online course content & videos even post course completion


Weekend classes by Industry experts

Career prospects
  • Machine learning engineer
  • AI resercher
  • AI consultant
  • Robotics engineer
  • Business Intelligence developer
  • AI product manager
Skills covered
  • Pandas, NumPy, SciPy, seaborn, TensorFlow, SQL server, Keras
  • Education: B.E/B.Tech/M.Tech/MCA/MS/MBA or B.Sc/M.Sc in Statistics/Maths/Physics/Economics or any quantitative field. Comfort with learning maths and programming will be required. Not mandatory to have a programming background but will be helpful if you do.


Introduction to Machine Learning & Python

  • Introduction to Machine Learning in Python
  • Introduction to Python
  • Flow Control, Iterative Operations & Functions in Python
  • Basic Statistics & Maths
  • Data Summary, Numerical and Visual EDA in Python
  • Data Handling in Python using NumPy & Pandas
  • Hypothesis Testing
  • Basics of Machine Learning-1
  • Basics of Machine Learning-2

Advanced Machine Learning Models in Python

  • Generalised Linear Models in Python
  • Decision Tree Models using Python
  • Boosting Algorithms using Python
  • Support Vector Machines (SVM), Naïve Bayes and KNN in Python
  • Unsupervised learning in Python
  • Neural Networks
  • Text Mining in Python

Machine Learning Beyond Traditional Model Building

  • Ensemble Methods for mixed algorithms
  • Python pipelines and model in production
  • Advanced Ideas on Feature Engineering, Model Interpretation, Parameter Tuning, Genetic Algorithm

Introduction to Deep Learning (Artificial Intelligence) And Tensorflow

  • Introduction to AI and Deep Learning
  • Introduction to parameter optimisation and gradient descent
  • Getting Started with Tensorflow and Google Colab

Deep Learning Algorithms Using Tensorflow and Keras

  • Deep Feed Forward & Convolutional Neural Networks
  • Introduction to Keras
  • Image data generators, transfer learning and Tensorboard
  • Sequence to Sequence models with Recurrent Neural Networks, Long-Short Term Memory (LSTM) and Gated Recurrent Unit (GRU)
  • Unsupervised Deep Learning

Applications of AI – Hands-on

  • Object Detection and Localisation
  • Face Detection and Recognition

Other Applications

  • working with Audio Data
  • Text summarisation, Image Captioning And Style Transfer

Natural Language Processing

  • Deep Learning for Natural Language Processing
  • Chatbots with Rasa

Learning Outcome

  • Become full stack AI expert with core skills in Machine learning and Artifical Intelligence.
  • Enable working professionals to be industry ready in AI and ML space.
  • Produce professionals with strong algorithm perspective of AI and ML
  • Receive deeper understanding of AIML techniques to create systems for decision making
  • Get experience of multiple real world hand on projects an case studies to solve real life AI and ML problems

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Organisations where our Alumni work

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