Special Fee :   Avail 15% discount on any single eLearning program registration by using discount code SPECIALFEEEY15 at checkout until 10th August 2026
× Sign in Register Cart (0)

About the AI and Machine Learning with Python course

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly becoming popular among today’s organizations. The adoption of AI has entered the mainstream, but in most organizations, it remains in the early stages and is used for developing strategies and for governance. Although these technologies are still emerging, they are delivering practical benefits to help resolve real problems.

This online AI and machine learning course teaches Python-based algorithms through practical examples, helping learners build foundational model-development skills.

Keeping the upcoming demand in mind, EY has launched a comprehensive eLearning program on Artificial Intelligence and Machine Learning using Python. The program will help you to learn AI and ML algorithms in a step-by-step format. In this course, you will understand Python’s concepts for AI, ML and related concepts like Artificial Neural Network, K Means Theorem, Natural Language Processing, Deep Learning, Naïve Bayes Theorem, etc.

Python certifications are widely recognized programming certifications worldwide. There are more than 8.2 million developers who use Python, making it one of the most popular languages for ML and Internet-of-Things (IoT) apps. Technology companies and organizations such as IBM, Netflix, Google, YouTube, NASA, Amazon, Instagram and Facebook use Python in their applications.

AI Machine Learning Course benefits

Learners can understand core AI and machine learning concepts and explore how Python is used to develop analytical models and intelligent applications.

  • In-depth learning of AI and ML algorithms through practical examples.
  • May build capability to implement tools built on AI platforms.
  • The course enables you to learn and acquire the required skills in Python for analytics and program development roles.
  • The course can help you create your own AI and ML solutions.
  • Learn from the experienced professionals and industry experts.

Who should take this AI and Machine Learning Course ?

The machine learning with Python course is suitable for analytics professionals, data science learners, automation specialists, entrepreneurs, graduates and mid-level managers.

  • Working professionals who intend to build their career in the field of analytics.
  • Working professionals who intend to build their career in the field of Machine learning and Artificial Intelligence.
  • Professionals who are currently in the Big Data and Data Science domains.
  • IT-Professionals in scripting and automation industry.
  • Entrepreneurs
  • Fresh graduates and young professionals
  • Mid-level Managers
  • Professionals working with MIS (Management Information System) and operations

AI and Machine Learning with Python Curriculum

 The curriculum includes neural networks, clustering, KNN, Naive Bayes, natural language processing, deep learning, principal component analysis and reinforcement learning.

  • Artificial Neural Network
  • Unsupervised Learning-K means Clustering Algorithm in Machine Learning
  • KNN methods
  • Naïve Bayes Theorem
  • Deep Learning
  • Principal Component Analytics
  • Random Forest for weather dataset
  • Neural Networks NLP (Natural Language Processing)
  • Reinforcement Learning
   

Related Courses

For queries, feedback or assistance

Contact EY Virtual Academy Support

ey.learningsolution@in.ey.com
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent.