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GenAI with OpenAI and Python
Artificial Intelligence & Data Analytics

GenAI with OpenAI and Python

A two week online course to introduce students to Generative AI using OpenAI tools and Python programming. Students will be introduced to the fundamentals of Generative AI, experiment with AI models and APIs, and build real-world AI-based applications through hands-on activities and mini-projects.
Course ModeOnline
Duration2 Weeks
Starts08 Feb 2027
Ends20 Feb 2027
Course Fee
₹1,000 /-
Enroll Now
About The Course

Overview

The course “GenAI with Python and OpenAI” is designed to give students hands-on experience with generative artificial intelligence. This is a two-week online course, covering Large Language Models (LLMs), prompt engineering, generative AI, and using OpenAI APIs with Python.

Students will learn how to build effective prompts, add AI functionality to Python apps, and create AI-driven solutions to real-world problems. Participants will be able to learn how to build apps with generative AI by doing hands-on exercises, coding labs, and a mini-project.

This course is perfect for anyone who wants to know about machine learning, artificial intelligence, python programming and the latest trends in AI technologies. Its aim is to improve their technical skills, problem-solving skills and readiness for opportunities in the AI-driven industry.

Learning Goals

Course Outcomes

After completing this course, students will be able to understand the fundamentals of Generative AI and Large Language Models, apply Python programming concepts, integrate OpenAI APIs into Python applications, use prompt engineering techniques effectively, and develop basic AI-powered applications to solve real-world problems while following responsible AI practices.

Curriculum

Course / Modules

Module 1: Introduction to Generative AI

Week 1 · Days 1–2

  • Fundamentals and applications of Generative AI

  • Introduction to Large Language Models (LLMs)

  • Overview of OpenAI and AI-powered tools

  • Opportunities, limitations, and responsible AI use

Module 2: Python Fundamentals for AI

Week 1 · Days 3–4

  • Python basics and essential programming concepts

  • Variables, data types, functions, and modules

  • Working with packages and virtual environments

  • JSON data and handling API responses

Module 3: OpenAI APIs and Python Integration

Week 1 · Days 5–7

  • Introduction to OpenAI APIs and available models

  • API keys and secure credential management

  • Connecting Python applications to OpenAI

  • Sending prompts and processing model responses

  • Building a basic AI-powered application

Module 4: Prompt Engineering and AI Application Development

Week 2 · Days 8–9

  • Principles of effective prompt design

  • Zero-shot and few-shot prompting

  • Role-based instructions and structured outputs

  • Improving response quality and reliability

  • Developing chatbots and AI assistants

Module 5: Hands-on Mini-Project and Assessment

Week 2 · Days 10–14

  • Design and development of a Generative AI application

  • Testing and debugging the application

  • Responsible AI practices and output evaluation

  • Mini-project demonstration and submission

  • Final quiz and course assessment

Learn From Experts

Our Trainers

Mr. Prateek Mishra
Mr. Prateek Mishra
Mr. Prateek Mishra is a Senior Generative AI Developer, technical trainer, and the founder/director of TechSimPlus (also known as TechSim+) based in B...