Graduation Program
Diploma in Artificial Intelligence (AI)
1 Year (Regular Basis)SBTE Approved
This 1-year Diploma program is carefully crafted for TPA students to provide fundamental and advanced skills in artificial intelligence. The curriculum focuses on building practical solutions in data science, machine learning, and deep learning, preparing students for professional careers in the tech industry.
Course Structure & Syllabus
Affiliated & Verified by Sindh Board of Technical Education, Karachi
Semester-I: Foundations & Data Skills
Focus: Fundamentals of ICT, Data, and Python
| Subject | Theory Hours | Practical Hours | Total Marks |
|---|---|---|---|
| Introduction to ICT | 6 | 40 | 100 |
| Financial Data Analysis with MS Excel | 14 | 50 | 100 |
| Python Programming | 14 | 50 | 100 |
| Data Management | 14 | 50 | 100 |
| Semester End Project | 0 | 64 | 100 |
Semester-II: Advanced AI & Specialized Applications
Focus: Machine Learning, NLP, and Deep Learning
| Subject | Theory Hours | Practical Hours | Total Marks |
|---|---|---|---|
| AI Primer (ML, DL, Neural Networks) | 14 | 50 | 100 |
| Natural Language Processing Toolkit | 17 | 47 | 100 |
| R Programming | 14 | 50 | 100 |
| Machine Learning | 17 | 47 | 100 |
| Deep Learning & ML APIs | 17 | 47 | 100 |
| Project: ChatBot & Recommendation Engine | 0 | 64 | 100 |
Why Choose This Diploma?
- Hands-on Learning: 70% dedicated focus on practical assignments and real-world database projects.
- Industry Tools: Build skills in Python, R, Excel, SQL, Hadoop, Spark, and TensorFlow.
- Real-World Portfolio: Develop actual NLP chatbots and content recommendation engines.
- Curriculum: Fully compliant and approved by the Sindh Board of Technical Education.
Key Learning Outcomes
- AI Core: Master Machine Learning, Deep Learning, and basic neural network concepts.
- Data Analysis: Formulate modeling solutions and handle big data architectures.
- Programming Skills: Write production-ready, clean programming workflows using Python and R.
- NLP Models: Construct text-processing mechanisms to parse human linguistic expressions.
- Deployment Skills: Integrate developed data models with production APIs and cloud frameworks.