Offline
Future-ready skills with OpenAI
Duration
35+ Hours
Level
Beginner to practical mastery
Delivery
On Campus
Certificate
PRTF X CloudThat
Start Date
28th September
Overview
This program takes students from a free ChatGPT account to genuine AI fluency in 25 hours of structured, in-person, lab-first instruction on a regulated AICTE-approved campus. Delivered in partnership with CloudThat by certified corporate trainers, the curriculum is designed to upgrade coursework, project development, and placement readiness. More than half the program is hands-on: 19+ hours are labs and practice activities. Enrollment is capped at 50 students to ensure close lab supervision, direct trainer access, and individual feedback on every capstone.
What you will learn
- Master generative AI tools and the OpenAI ecosystem, including ChatGPT, Codex, and assistant workflows.
- Apply advanced prompt engineering frameworks such as zero-shot, few-shot, role-based, and chain-of-thought prompting.
- Boost academic productivity by converting textbook chapters into structured revision notes, flashcards, and personalized study schedules.
- Build like a professional with AI-assisted coding, debugging, refactoring, and unit test generation using Codex.
- Execute full project lifecycles, analyze Excel or CSV datasets, and build professional 5-slide data insight presentations.
- Practice responsible AI standards, including fact-checking responses, identifying hallucinations, and validating information
Curriculum
Module 1: Introduction to Generative AI and the OpenAI Ecosystem
Topics: What generative AI actually is; the evolution of AI and large language models; understanding ChatGPT; the OpenAI ecosystem (ChatGPT, Codex, image generation, AI assistants); and real-world applications of AI in education and work.
Lab: Explore the ChatGPT interface, ask AI to explain both a technical and a non-technical concept, and compare search-engine results against AI-generated responses.
Activity: Identify how AI can assist in your own chosen career path.
Module 2: Prompt Engineering Fundamentals
Topics: The anatomy of an effective prompt; zero-shot, few-shot, role-based, and chain-of-thought prompting; prompt refinement techniques; and the common mistakes almost every casual user makes.
Lab: Design prompts for academic tasks, rewrite poor prompts into effective ones, and build a set of reusable prompt templates for daily use.
Activity: A class-wide competition to generate the best output through prompt refinement.
Module 3: Academic Productivity with ChatGPT
Topics: Research assistance, literature review support, summarization techniques, note generation, concept explanation, creating study plans, and improving written communication.
Lab: Convert your own textbook content into revision notes, generate flashcards, and create a personalized study schedule.
Activity: Use AI to learn an unfamiliar topic, then teach it to your peers.
Module 4: AI for Coding and Programming using Codex
Topics: Introduction to Codex; AI-assisted software development; understanding code generation; code explanation and debugging; refactoring; unit test generation; documentation; and learning new programming languages with AI. No prior programming knowledge required.
Lab: Generate a Python program, debug faulty code, convert plain logic into working code, explain an existing codebase, and generate project documentation.
Activity: Solve coding challenges with AI assistance.
Module 5: Building Student Projects with AI
Topics: Project ideation using AI, requirement gathering, project planning, generating documentation, creating user stories, building prototypes, and AI-assisted project management.
Lab: Generate project ideas, create a project charter, and build a project roadmap.
Activity: In teams, design a complete project proposal using AI.
Module 6: Data Insights and Presentations with AI
Topics: Understanding data with ChatGPT; working with Excel and CSV files; finding trends and patterns; generating insights; creating reports and summaries; building presentations with AI; and presenting findings effectively.
Lab: Analyze a sample dataset, generate key insights, create a report summary, and build a presentation from the analysis.
Activity: Analyze a student survey or sales dataset and produce a five-slide presentation highlighting your findings and recommendations.
Module 7: Research and Responsible AI
Topics: AI-assisted research; asking analytical questions; fact-checking AI responses; identifying hallucinations; information validation techniques; and building research summaries.
Lab: Research an emerging technology, verify AI-generated information against trusted sources, and produce a research summary document.
Activity: Identify inaccurate AI responses and improve them.
Module 8: Capstone Challenge
Apply everything from the program in a complete, end-to-end project built with ChatGPT and Codex. Working in teams, you define a problem statement, create and refine prompts, generate your solution, and present it to the class.
Choose your track: research project, coding project, data analysis project, startup idea validation, or a career-preparation portfolio.
Deliverables you keep: a project proposal, a personal AI prompt library, a final presentation, and a project report.
Prerequisites
None beyond the basics. You need basic computer skills, familiarity with internet search and office tools, a free ChatGPT account, and a browser. No programming knowledge is required, the coding module teaches you to build with AI assistance, which is exactly how non-programmers now produce working software. An optional GitHub account is useful for the coding activities. The program is open to students from every stream, engineering to management.
Certificate
Start Now
50 seats. One founding batch. Secure your spot before enrollment closes.
Reach the PRTF admissions desk at +91-8586939002 or contact@pathfinderfoundation.co.in, Knowledge Park 3, Greater Noida.
Program fee ₹11,999 + GST, including all 35+ hours of in-person training, supervised labs, the capstone program and full campus access.
Enquiry Form
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Frequently Asked Questions
Find answers to common questions about the Future-ready skills with OpenAI programme.
Future-ready skills with OpenAI is a practical Generative AI programme designed to help students develop hands-on skills using tools such as ChatGPT and Codex. The programme covers prompt engineering, academic productivity, coding, data analysis, research, presentations and responsible use of AI.
The programme is designed for students who want practical AI skills for academics, research, coding, projects, data analysis and future career readiness. It starts with the fundamentals and progresses toward hands-on AI workflows and capstone projects.
You will learn Generative AI fundamentals, the OpenAI ecosystem, prompt engineering, academic productivity with ChatGPT, AI-assisted coding with Codex, project development, data analysis, presentations, research workflows and responsible AI practices.
Yes. Prompt engineering is a core part of the programme. Learners practise techniques such as zero-shot, few-shot, role-based and chain-of-thought prompting and learn how to structure prompts for different academic and professional tasks.
No programming knowledge is required to begin. The programme is designed for beginners and introduces AI-assisted coding in a practical way. Learners use Codex to understand, debug, refactor and test code while building useful projects.
Yes. Learners work with Excel or CSV datasets, use AI to analyse information and convert findings into clear insights. The programme also includes creating professional data presentations using AI-assisted workflows.
Yes. The programme includes responsible AI practices such as fact-checking AI-generated responses, identifying possible hallucinations, validating information and understanding the limitations of Generative AI tools.
Yes. The programme is strongly focused on hands-on learning. Students work on practical activities throughout the modules and complete a capstone challenge that applies the AI skills developed during the programme.
The programme includes 35+ hours of structured learning and is delivered on campus. A significant part of the programme is dedicated to supervised labs, practical activities, project development and hands-on AI practice.
Yes. Students who successfully complete the programme receive a course completion certificate for the PRTF and CloudThat delivered programme. The programme also includes practical deliverables such as project work, an AI prompt library, a project report and a final presentation or demo.