Free Online Course on Python for Generative AI

Python for Gen AI

star 4.48  Beginner level 2.25 learning hrs 4.4K+ Learners

Enroll today in our free Python for Generative AI course. This beginner-friendly course covers Python basics, development environment setup, and tool installations. Join now and earn a certificate upon course completion.

Instructor:

Ms. Sneha VK

Key Highlights

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About this course

The free Python for Generative AI course is perfect for beginners eager to learn Python and its role in AI. You'll start with Python basics, then move on to setting up your development environment and installing the necessary tools. The course includes practical lessons on building Flask apps, integrating ChatGPT, and converting text to images. You'll also explore app development with LangChain. By the end, you'll have hands-on experience, a strong grasp of Python and Generative AI concepts, and earn a certificate to showcase your achievements.

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Course outline

Overview of Python and Introduction to GenAI

Gain a solid understanding of Python programming fundamentals and an introduction to Generative AI concepts and their applications.

Development Environment Setup

Learn to set up and configure a Python development environment, including installing necessary tools and libraries for efficient development.

Introduction to OpenAPI GPT API

Understand how to interact with the OpenAI GPT API to leverage its powerful language generation capabilities in various applications.

Flask ChatGPT App

Develop skills in building web applications using the Flask framework and integrating ChatGPT to create an interactive chatbot.

Flask Text to Image App

Learn to build a Flask application that converts text to images using AI techniques, and gain experience in deploying the application.

LangChain Apps

Explore how to use LangChain to create complex applications by chaining multiple AI models and tools together for advanced functionality.

Get access to the complete curriculum once you enroll in the course

Python for Gen AI

rating icon 4.48

2.25 Hours

Beginner

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4.4K+ learners enrolled so far

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Learner reviews of the Free Courses

4.48
65%
25%
9%
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1%
Reviewer Profile

5.0

Country Flag United States
“Really Helpful”
Thank you for the great knowledge.
Reviewer Profile

5.0

Country Flag India
“Prompt Engineering with Core Development Skills in Flask and Pillow”
Prompt Engineering: Mastered advanced strategies like templating and chain-of-thought to optimize AI performance and ensure stable, human-readable outputs. Web Development (Flask): Learned to build and start applications using app.run(), specifically handling POST requests to manage data flow effectively. Data Types & IDEs: Clarified essential Python 3 concepts, such as the removal of the long type and the transition of tools like Sublime from text editors to extensible environments.
Reviewer Profile

5.0

Country Flag India
“Building Generative AI-Powered Apps with Python”
Great course!
Reviewer Profile

4.0

“Easy to Follow and Learn”
This course is very easy to follow and understand the concepts.

Our course instructor

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Ms. Sneha VK

ChatGPT and Generative AI Expert

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881.9K+ Learners
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31 Courses
Sneha is currently working as a Research Analyst at Great Learning. With a passion for teaching, she has served in the higher education sector for more than 2 years. Sneha has expertise in various Computer Science Subjects like .NET, HTML/ CSS, Python, System Architecture,Operating systems, Data Structures, Database management systems etc.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What is Generative AI?

Generative AI is algorithms and models that can learn from existing data, such as text, images, or music, to generate new content. Techniques like deep learning are utilized to create outputs that resemble the data used in training.

What is the Python for Generative AI course by Great Learning?

This free course is meant for beginners interested in Python programming and using Generative AI. It focuses on the basics of Python, setting up a development environment, and so many AI applications.

Who should take this course?

Ideal for beginners who are interested in Python and Generative AI. Previous programming experience is not required.

What will I learn in this course?

You will learn Python programming, how to set up a development environment, interact with the OpenAI GPT API, build Flask apps, and more about LangChain for sophisticated AI applications.



Can I get a certificate upon completing the course?

Yes, on successful completion of the course, you will be issued with a certificate attesting to your achievement and the skills you've acquired during the course.

How long does it take to finish the course?

The course is self-paced, so you have time at your own pace. Time always depends on how quickly you complete the modules.

Do I need special software to do this course?

You have to set up a Python development environment and install all necessary tools and libraries. Every step in the course is detailed.

Will I have access to the materials after the course is completed?

Yes, you would still have access to all course materials after finishing the course.

How will the skills you obtain in this course be applied in the workplace?

You are going to enhance your programming skills and get into AI development. Therefore, you will create software applications, developing you into the best competitor in that market.

Is this course opportunity for future employment?

You will acquire precious Python and Generative AI skills during the course, enhancing your qualifications for technology and AI-related jobs.

What is Python used for in Generative AI?

Some of the most common applications of Generative AI are in languages with rich libraries and frameworks like TensorFlow, PyTorch, and OpenAI's GPT models. The language is sufficient to provide tools and flexibility for building and deploying AI models.

What are the favoured applications used in Generative AI?

Some of the popular applications of Generative AI:

Applications range from text generation (chatbots and content creation) to image synthesis (deepfakes and artistic styles), music composition, and many others. Generative AI is being applied in virtually every area of entertainment and healthcare



What are the benefits of using Python for Generative AI?

Python is easy and readable and has numerous libraries and frameworks for developing and experimenting with Generative AI models. It also has good community support in terms of ample resources and help.

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