Prompt engineering and AI-assisted development course in Bhakkar
In the final month you learn to use AI tools well: writing clear prompts, checking what the AI gives back, and building an AI-assisted feature into a real app. You also complete your final project.
- How large language models work, in plain terms
- Writing clear prompts: context, task, format, examples
- Breaking a big coding task into small prompts
- Using AI assistants to explain, write and refactor code
- Reviewing AI-generated code for bugs and security problems
- Debugging with AI without losing track of your own code
- Calling an AI model's API from Node.js
- Getting structured output such as JSON from a model
- Prompt templates and testing prompts against sample inputs
- Handling wrong or made-up answers safely
- Keeping private data and API keys out of prompts
- Planning, building and presenting the final project
An AI-assisted feature added to one of your earlier apps, such as turning a typed or pasted supplier order list into structured purchase entries, or writing a polite payment reminder from a customer's ledger balance, followed by a final project of your choice that pulls together the skills from all five months.
Why prompt engineering is part of the course
AI coding assistants are now part of how many developers work. Used carelessly, they produce code that looks right and quietly breaks. Used well, they speed up the boring parts and help you learn faster. The difference is skill: knowing how to ask, and knowing how to check the answer. That is what this month teaches.
It comes last on purpose. By Month 5 you have written HTML, CSS, JavaScript, Node.js, SQL, Electron and Selenium code by hand. You can read what an AI gives you and spot when it is wrong. Learning AI tools before you can code tends to produce people who cannot fix the code they paste.
How Month 5 runs
Classes are in person at the AiroxLab office in Bhakkar. The first half of the month covers prompting for development: giving the model enough context, asking for one change at a time, requesting tests along with code, and reviewing the result line by line. You practise on your own projects from earlier months, for example asking an assistant to add a feature to your Electron.js billing app and then checking every change before you commit it.
Next, you call an AI model from your own code. You learn to send a prompt from Node.js, ask for JSON back, validate it and handle the cases where the model gets things wrong. The second half of the month is mostly final project work, with regular check-ins and code reviews.
- Prompting for code: context, small steps, tests and review.
- AI in your app: API calls, structured output, validation and safety.
- Final project: planning, building, reviewing and presenting.
The AI-assisted feature
One example: a shopkeeper receives a supplier's order list as plain text, such as "20 cartons biscuits @ 1,150, 12 tins ghee @ 2,700". Your feature sends it to a model, gets back structured rows, and shows them for checking before saving. The app does the math itself: 20 × 1,150 = Rs 23,000 and 12 × 2,700 = Rs 32,400, for a purchase total of Rs 55,400. If the model returns something that does not match the expected format, your code rejects it and asks the user to check.
Another option is a reminder writer. Given a customer's name and outstanding balance from your SQL ledger, the feature drafts a polite payment reminder in English or Roman Urdu for the shopkeeper to review before sending.
The final project
You choose a final project, agree its scope with your instructor and build it over the remaining weeks. Good projects solve a real problem for a real kind of business: a clinic appointment book, a school fee tracker, a small restaurant order screen. The project lives on GitHub and you present it at the end of the course.
What you should already know
Months 1 to 4 of the course. This month assumes you can build a web page, a Node.js API, a SQL database and a desktop app on your own.
That completes the 5-month path, at Rs 10,000 per month. To see every module in order, visit AiroxLab Academy, and to join a coming batch, use the apply form.
Questions people ask
Will AI tools do the coding for me?
They can write parts of it, but you stay responsible for every line. This month teaches you to give clear instructions, review the output and fix what is wrong.
Do I need a paid AI subscription?
Ask about the tools used in the current batch when you enquire on WhatsApp at +92 311 2377741. The skills taught apply across the common AI assistants and model APIs.
What kind of final project can I build?
Anything that brings together several course skills and can be finished in the time available, agreed with the instructor. Projects based on real business problems work best.
Do I get a certificate at the end?
The course does not offer certificates from external bodies. What you leave with is the work itself: five months of projects on your GitHub profile and a finished final project.
Can I take only the prompt engineering month?
The month builds on everything before it, so it is designed for students who have completed Months 1 to 4. Send an enquiry if you have equivalent experience.
Join the next batch in Bhakkar.
5 months, Rs 10,000 per month, in-person. Apply online or message us on WhatsApp at +92 311 2377741.