AI and Machine Learning
Master artificial intelligence and machine learning with hands-on projects using Python, TensorFlow, and modern AI frameworks.
University of Peshawar
person
Dr. Sarah Jenkins
Course Introduction
Learning Outcomes
Build supervised and unsupervised ML models
Apply deep learning for vision and NLP tasks
Fine-tune transformer models for real-world use
Deploy ML models to production environments
Target Audience
- group Bachelor's in ICT or related field
- group Final-year ICT students with transcript
- group KP domicile holders aged 18-35
3 Months Duration.
Modular Course Structure
A rigorous roadmap for mastering Data & AI development.
Introduction to AI & ML
Concepts, history, applications
Python for AI
NumPy, Pandas, Matplotlib
Mathematics for ML
Linear Algebra, Calculus, Probability
Supervised Machine Learning
Regression, Classification
Model Evaluation
Cross-validation, Metrics, Hyperparameter Tuning
Unsupervised Machine Learning
Clustering, Dimensionality Reduction
Feature Engineering
Preprocessing, Selection, Transformation
Deep Learning Basics
Neural Networks, Backpropagation
CNNs & Computer Vision
Image classification, Object detection
NLP Essentials
Text preprocessing, Embeddings, Sentiment
Transformers & Hugging Face
BERT, GPT fine-tuning
LLMs & Chatbots
Building a capstone AI application
Tools & Platforms
Python
TensorFlow
PyTorch
AWS
Hugging Face
Build and deploy a capstone AI application demonstrating end-to-end ML pipeline skills.
Working AI application
Technical documentation
Presentation to panel
Instructor Details
Learn from experienced professionals assigned to deliver this program.
Dr. Sarah Jenkins
Ready to lead the Digital Revolution?
Join the next cohort and master the technologies shaping the future of global enterprise.