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Your Learner Verification

This is to verify that PRIYA DHARSHINI has completed the course Building Generative AI Driven Apps with Python on Alison.

PRIYA DHARSHINI

Alison ID: 58343331

Course Completed: Building Generative AI Driven Apps with Python

Date of Completion: 23rd September 2026

Email: [email protected]

Total Study Time: 6h 55m

Final Assessment Score:

Alison courses requires at least
80% to pass the final assessment

80%
CPD Hours Completed:

CPD approved learning hours
completed through this course

5-7h

Course Information

This free online course will impart programming skills to build applications powered by artificial intelligence.

Imagine creating an app that can read a PDF document for you or respond to chat messages. In this course, you will upgrade your coding skills and build several AI-powered applications using freely available frameworks. It will begin with setting up the development environment, followed by a basic understanding of the capabilities of Python, VS Code, and AWS.

Following that, you will delve into the GPT API (Application Programming Interface) and master the command prompts to install, code, and run different frameworks like Flask or Streamlit. Flask, known for its flexibility, is used to build web applications in Python. Streamlit, designed for ease of use, is specifically for creating interactive data science and machine learning web apps with minimal effort.You will be able to build an app that generates images from textual descriptions, and GPT powered bots for WhatsApp or Telegram, all with the user-friendly tools and frameworks introduced in this course.

Finally, you will learn about using LangChain and Gradio to build advanced applications. LangChain is used to develop applications powered by language models, while Gradio is a user-friendly Python library that builds customizable web-based interfaces to interact with machine learning models. LangChain enhances Large Language Models or LLMs. Large amounts of text data are used to train advanced AI models like LLMs to understand and generate human-like language, forming the backbone of virtual assistants that engage in conversations and assist with tasks. Enroll in this course today to keep pace with the technological and

Modules Completed

Module 1: Building AI-Powered Applications: From Flask and StreamLit to GPT Bots
Module 2: Building Advanced AI Applications: From Chat Interfaces to Virtual Assistants
Module 3: Course assessment

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