.png&w=3840&q=75)
Powered by
Completion
CERTIFICATE
Practical Python for AI: Advanced Libraries and Techniques
Master Python libraries like NumPy, Pandas, and Matplotlib for AI coding. Learn data manipulation, visualization, and object-oriented programming.
Course Cost
₹ 2,699
Beginner
Skill Level
8 Hours
Self-paced lessons
Dive into advanced Python programming for AI with this comprehensive course. Designed for beginners, it covers essential libraries and techniques used in AI coding. Learn to manipulate data using NumPy arrays and Pandas DataFrames, visualize information with Matplotlib and Seaborn, and understand object-oriented programming concepts. The course focuses on practical applications, guiding you through exercises with real datasets and preparing you for AI modeling with Scikit-learn, TensorFlow, and Keras. By the end, you'll have a solid foundation in Python for AI and a local coding environment ready for advanced AI projects.
2,347 Enrolled
English
What you'll learn
Master NumPy for efficient array manipulation and operations
Use Pandas for data analysis and manipulation with DataFrames
Perform advanced string operations and file handling in Python
Create data visualizations using Matplotlib and Seaborn
Understand object-oriented programming concepts in Python
Apply Python libraries to real-world AI and data science problems
Set up a local environment for AI coding and modeling
Prepare for advanced AI projects using Scikit-learn, TensorFlow, and Keras
Skills you'll gain
This course includes:
7 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This course provides a comprehensive introduction to advanced Python libraries and techniques essential for AI coding. It starts with NumPy, teaching array manipulation and operations crucial for efficient data handling. The Pandas module covers DataFrame usage, data manipulation, and basic statistical analysis. Students learn string manipulation and file handling, vital for data preprocessing. The data visualization section introduces Matplotlib and Seaborn for creating insightful graphs and charts. The course concludes with an introduction to object-oriented programming, explaining classes and inheritance. Throughout, the focus is on practical application, with exercises using real-world datasets. The course aims to prepare students for AI modeling using libraries like Scikit-learn, TensorFlow, and Keras, and helps them set up a local AI coding environment.
Numpy library: Using arrays
Module 1 · 1 Hours to complete
Pandas library: Using DataFrames
Module 2 · 2 Hours to complete
Strings and files
Module 3 · 1 Hours to complete
Data visualization: matplotlib and seaborn
Module 4 · 2 Hours to complete
Object oriented programming: introducing class object
Module 5 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Reviews
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.8
6
Reviews
9,678
Students
2
Courses
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.