AI using Python

Learn AI using Python 30-hour Online Training Program

Register now to access the course for ₹1499+GST


Artificial intelligence (AI) involves creating systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. Python is widely used in AI for its libraries like TensorFlow, PyTorch, and scikit-learn, facilitating model development and deployment.


Learn how to build AI Applications using these modules.


1. Python Programming Fundamentals
2. Variables, Datatypes & Operators
3. Basic Input & Output Operations
4. Control Flow Statement
5. Functions in Python
6. Modules in Python
7. Introduction & Scope of AI
8. Machine Learning and its types
9. Data Collection from different sources
10. Data Cleaning
11. Introduction to NumPy for Numerical Computing
12. Basics of Arrays Manipulation and Operations
13. Introduction to Pandas for Data Manipulation and Analysis
14. Handling Dataframes and Series
15. Overview of scikit-learn Library for Machine Learning in Python
16. Supervised Learning: Classification and Regression

17. Unsupervised Learning: Clustering and Dimensionality Reduction
18. Model Evaluation and Validation Techniques
19. Introduction to Deep Learning and Neural Networks
20. Basics of TensorFlow for Building and Training Neural Networks
21. Basics of Keras for Building and Training Neural Networks
22. Building and Training Simple Neural Networks for Classification and Regression Tasks
23. Introduction to Convolutional Neural Networks (CNNs) for Image Classification
24. Introduction to Recurrent Neural Networks (RNNs) for Sequence Data
25. Hands-on projects to apply the concepts learned throughout the course
26. Data preprocessing, Model Training
27. Evaluation and Prediction
28. Implement a simple AI model using Python
29. Implement a simple Machine learning model using Python
30. Project Outcomes and Learning Experience

Start Date:
June 3, 2024

June 3, 2024

Start Date

Course Fee:
₹ 1499/-

₹ 1499/-

Course Fee:

Enroll before
June 3

June 3

Enroll before


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