Online Admission

Advanced Certification in AI & Machine Learning

Advanced Certification in AI & Machine Learning

“Globally, machine learning jobs are projected to be worth almost $31 billion by 2024.”

High-performance technologies are in-demand and Artificial Intelligence (AI) jobs are thriving. Various industries including healthcare, education, marketing, retail and ecommerce, and financial services are using AI and machine learning for better outcome.

Are you excited to grab the upcoming AI and Machine Learning jobs?

Advanced Certification in AI & Machine Learning can help you land your dream job. Designed to teach machine learning concepts, the certification course quickly opens doors to a high-paying career that will be in demand for decades. You will learn the technical skills you need to accelerate your career growth as Artificial Intelligence (AI) / Machine Learning Engineer.


Applicants should have a Bachelor’s degree with a minimum of 50% aggregate marks or equivalent and familiarity with programming.

Why you should take this course?

  • Most comprehensive curriculum designed by leading academic and industry experts. It comprises a blended format of classroom sessions and self-paced learning
  • Become an AI expert by acquiring core skills in Machine Learning and Artificial Intelligence
  • Covers Artificial Intelligence & Machine Learning technologies and applications including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, enforcement Learning, Neural Network, Tensor Flow and many more.
  • Hands-on program using AI and ML lab and 17 projects. It features case studies and learning from some of the top global companies.

What will you learn?


Machine Learning in Python

deep learning

Deep Learning (Artificial Intelligence) Using Tensorflow and Keras

data analysis

Data Analysis in SQL (Videos only)

R image


tableau software image


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Overview of AI & Machine Learning course

AI and Machine Learning course helps you:

  • Become expertise in latest AI & ML technologies and problem-solving methodologies.
  • Develop the ability to effectively solve business problems using AI & ML.
  • Learn to use technologies like Python, Tensorflow and Keras to develop applications.
  • Develop a impactful portfolio with 12+ projects that will showcase the new skillsets.

Course Curriculum

The course curriculum consists of:

Machine Learning in Python

Students will learn how to process, clean, visualize and automate decision making through data science by using Python. They will also get an insight into cutting-edge machine learning techniques in Python.

Deep Learning (Artificial Intelligence) Using Tensorflow and Keras

Students will learn different types of techniques such as deep learning techniques, reinforcement learning, NLP and computer vision using latest Python libraries Tensorflow and Keras.

Data Analysis in SQL (Videos only)

This Data Analyst using SQL video tutorial will facilitate the students in learning how to use the SQL language to analyse data stored in databases. In this SQL tutorial you will learn how to communicate with databases, extract data from them, manipulate the data, analyse it and create reports using the data.

Business Analytics in R

Business Analytics in R introduces the learners to predictive analytics techniques and the R language to solve business issues. It will help to learn the basics of statistical techniques and basic and advanced aspects of R language.

Data Visualization in Tableau (Videos Only)

Data Visualization in Tableau tutorial teaches the students how to see and interpret the data using Tableau, the world’s leading analytics platform. They will learn to create data dashboard and stories to showcase their analysis to the respective management team.