Course Details
Artificial Intelligence (ML/DL)
Artificial intelligence ML / DL
objective of the course
Employable skills and hands on practice for Artificial Intelligence, including specialization in NLP (Natural Language Processing) or computer vision
The objective for delivering the advanced IT curriculum is to impart knowledge and cultivate skills relevant to the field of IT. The course aims to provide participants with a comprehensive understanding of various aspects within the domain, fostering their ability to conduct themselves in a professional and responsible manner.
Instructors will deliver technical knowledge and skills necessary for goal-oriented problem-solving, employing practical oriented teaching. Additionally, they will design a practical assessment program aligned with the curriculum’s learning outcomes. Trainees will not only enhance their proficiency in addressing tasks but also develop the capacity to scrutinize issues thoroughly and evaluate opportunities for growth
What Will You Learn?
Understanding of core concepts of artificial intelligence and machine learning
State of the art machine learning techniques
Hands-on exposure to exploratory data analysis
Practical exposure to model design, evaluation
Familiarity with tools and libraries such as scikit learn, pandas numpy, tensorflow, pytorch and keras
build models which will extract information from image, video & textual data
After the specialization in NLP, student will be comfortable using TensorFlow pipelines for NLP at the end of the course.
Moreover, student will learn
text processing fundamentals, including text normalization, stemming and lemmatization
different evaluation metrics for models trained for NLP tasks
statistical language models like Hidden Markov Model (HMM)
make a part of speech (POS) tagging model
named entity recognition
advanced techniques including word embeddings, deep learning (DL) techniques.
how to deploy a NLP model
modules :
PKR 30,000
Course Information
- Instructor: Ali Usman
- Modules: 12
- Duration: 3 Months
- Course Level: • Advanced
- Language: English