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  • DegreeIcon
    Total Modules: 6

    Gain insight into a topic and learn the fundamentals.

  • DegreeIcon
    Duration

    40 hours

  • DegreeIcon
    Level: Beginner

    No prior experience required

  • DegreeIcon
    Internship

    Be eligible for internship (paid/unpaid)

  • DegreeIcon
    Fee: USD 700 USD 500

Hurry! First batch intake closes on 20 May 2026 — only 5 internship spots left!

Skills you'll gain

skill Gain
Data Preprocessing

Techniques to clean and prepare datasets.

skill Gain
Feature Scaling and Transformation

Adjusting data for optimal model performance.

skill Gain
Regression Techniques

Applying linear and logistic regression for predictions.

skill Gain
TensorFlow

Mastering the leading AI framework for model building.

skill Gain
Neural Networks

Designing and training ANNs, CNNs, and RNNs.

skill Gain
Image Classification

Building CNN models for object and image recognition.

skill Gain
Natural Language Processing (NLP)

Analyzing and processing textual data.

skill Gain
Industry-relevant Skills

Real-world professional experience through an internship*.

Tools and Platforms covered

Program Overview and Structure

1. Introduction to Machine Learning

Learn essential data preparation techniques, including preprocessing, feature scaling, and categorical conversions. Master linear, multiple, ridge, lasso, and logistic regression models. Build a solid foundation in machine learning concepts to understand and implement basic predictive models effectively.

  1. Data Preprocessing
  2. Data Transformation
  3. Data Reduction
  4. Data Wrangling and Manipulation for Machine Learning
  5. Feature Scaling
  6. Categorical Conversions
  7. Introduction to Machine Learning
  8. Simple Linear Regression
  9. Machine Learning Basics
  10. Multiple Linear Regression
  11. Ridge and Lasso Regression
  12. Logistic Regression

2. Artificial Intelligence: Fundamentals

3. Artificial Neural Networks (ANN)             

4. Convolutional Neural Networks (CNN)

5. Sequential Data Analysis

6. Computer Vision and Video Analytics

Earn and Share Your Certificate

Amity online

Meet our top-ranked faculty

Amity online
Kaushik Swaroop

Consultant Advisory-Transformation-BE, KPMG India

Amity Online Advantages: Why We're the Right Fit for You

Learn from Analytics Experts and Industry Veterans

Learn from experienced faculty and industry professionals who specialize in AI & ML. Our experts help you build dynamic skills and knowledge that meet industry standards.

Real-World Case Studies and Data-Driven Projects

Gain hands-on experience in Machine Learning, Neural Networks, NLP, and Computer Vision. This practical approach prepares you to make data-driven decisions in any business setting.

Flexible Learning for Busy Professionals

Study at your own pace with a flexible curriculum designed to fit around your schedule, making it ideal for working professionals looking to upskill.

Certification with Industry Recognition

Receive a certification in Artificial Intelligence and Deep learning using Python from Amity University Online, respected by employers across multiple sectors.

Frequently Asked Questions

What makes these certifications unique?

These certifications are unique because they combine expert-led instruction with hands-on projects, focusing on practical applications of AI and deep learning using Python, preparing you for real-world industry demands.

Who is this program for?
What are the prerequisites for enrollment?
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  • DegreeIcon
    Total Modules: 6

    Gain insight into a topic and learn the fundamentals.

  • DegreeIcon
    Duration

    40 hours

  • DegreeIcon
    Level: Beginner

    No prior experience required

  • DegreeIcon
    Internship

    Be eligible for internship (paid/unpaid)

  • DegreeIcon
    Fee: USD 700 USD 500