One YearAI & Data ScienceCourse in Karachi
This programme takes eligible intermediate students from first lines of code to a finished, explained project. It is a single course, not two separate enrolments.
Exact class timings are confirmed by the admissions team before enrolment.
01 / SNAPSHOT
Coursesnapshot. one year
A one-year programme in AI and Data Science for students aged 16 to 22. Small batches, a short interview, and afternoon or evening timings.
Monthly fee
per month
Fee is paid monthly. Placement, internships and income are not guaranteed — this is stated openly and not hidden.
- Duration
- 1 year
- Batches
- Afternoon and evening
- Batch size
- 20 students per batch
- Eligibility
- Intermediate students, aged 16 to 22
- Admission
- Short interview
Understand foundational concepts in AI and Data Science.
Use logical, step-by-step problem-solving.
Organise, explore and interpret data.
Understand introductory Artificial Intelligence and Machine Learning concepts covered in the approved curriculum.
Practise through exercises, review and guided tasks.
Build projects suited to your level and explain your process.
Document work, respond to feedback and develop independent learning habits.
Stage 1
Core skills
You build logical thinking and learn programming basics. The aim is comfort with writing small programs and breaking a problem into steps.
Stage 2
Working with data
You learn how data is collected, cleaned, explored and summarised. You practise stating clearly what a dataset shows and what it cannot show.
Stage 3
AI and Machine Learning
You study how a model learns patterns from examples and makes predictions. You also learn why a model can be wrong. Topics and tools follow the final approved syllabus.
Stage 4
Applied projects
You pick a problem, describe it, choose an approach, review the results and decide what to improve.
Stage 1
Core skills
You build logical thinking and learn programming basics. The aim is comfort with writing small programs and breaking a problem into steps.
Stage 2
Working with data
You learn how data is collected, cleaned, explored and summarised. You practise stating clearly what a dataset shows and what it cannot show.
Stage 3
AI and Machine Learning
You study how a model learns patterns from examples and makes predictions. You also learn why a model can be wrong. Topics and tools follow the final approved syllabus.
Stage 4
Applied projects
You pick a problem, describe it, choose an approach, review the results and decide what to improve.
Each week moves through the same five steps — learn, practise, revisit, apply, feedback — so skills compound rather than reset.
Step 01 / 05
Learn
Learn a concept and its purpose.
01 · Learn
Learn a concept and its purpose.
02 · Practise
Practise through exercises, review and guided tasks.
03 · Revisit
Understand foundational concepts in AI and Data Science, using logical, step-by-step problem-solving.
04 · Apply
Build projects suited to your level and explain your process.
05 · Feedback
Document work, respond to feedback and develop independent learning habits.
Expect to spend time outside class on assigned work.
Students who skip practice fall behind quickly, because each stage builds on the last.
Projects and the
six-month target
Projects might include exploring a public dataset, answering a question with evidence, building a simple prediction model or presenting findings to the class. The final list depends on the approved plan and on student readiness.
Our target is that by about month six, students have enough practical skill to start looking for suitable internships or to help with small projects. This is a learning target and not a placement promise. Hackathons and group activities may be added when they fit the confirmed plan.
Example activities
Explore a public dataset.
Answer a question with evidence.
Build a simple prediction model.
Present findings to the class.
12-month track
month 06 · target
Note
Learning target, not a placement promise
Eligibility and admission
Age: 16–22 years.
Education: currently an intermediate student.
Skills: Basic computer skills.
Language: English communication skills.
Selection: A short interview; admission is offered to candidates who pass.
Duration, fee, batches and venue
- Program duration
- 1 year
- Monthly fee
- PKR 22,000
- Batches
- Afternoon and evening
- Batch size
- 20 students per batch
- First-year target
- 40 students across two batches
- Venue
- Kashif Center, Shahrah-e-Faisal, adjacent to Mehran Hotel, Karachi
Exact class timings and payment deadlines are confirmed by the admissions team before enrolment.
Fee and payment
Monthly fee
per month, for the full year
Selected applicants may pay through the registration form, by online bank transfer or through Easypaisa. The admissions team sends the official payment details and due dates after your interview.
Payment routes
Registration form
Pay with the admissions form at the office.
Online bank transfer
Transfer to the account shared by admissions after your interview.
Easypaisa
Send the fee through the Easypaisa number provided in writing.
Never send money to a number or account that did not come from Technomen’s official channels.
07 / FAQ
Questions,answered.
Course FAQs
It is one integrated Artificial Intelligence & Data Science course.