COURSE FEATURES
- Duration : Two Months
- Skill level : Basic -Elemetary – Advance – HighTech
- Language : English
- Course Fee: PKR 24,000
- Admission Fee: PKR 2,000
- Examination Fee: PKR 1000
- Assessments: Yes
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.
By the end of this course, the trainees should gain the following competencies:
• 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.
Job Opportunities
AI is the buzzword of the century, attracting attention across industries, motivating changes in products as well as services. It is the very nature of the
subject that makes its applications infinite, in multiple domains. Whether you belong to a technical background or not, chances are that AI can make
your job easier, and push it in the right direction. Dive in to develop an understanding of the core concepts, while gaining hands on experience and
training from the industry’s finest. Trained resources can find work as one of the following roles
• AI Associate Engineer
• Machine Learning associate analyst
• Assistant Data Analyst
• Research Assistant
• Assistant Cyber Security Analyst
• Operating System Security Analys
Companies offering jobs in the respective trade
1. Careem / Ober / Bykea
2. Afiniti
3. CureMD
4. Arbisoft
5. AppsGenni
6. NetSol
7. Systems
8. Fiverivers Technologies
9. confiz
10. Crossover
11. xavor
12. Research institutes
13. All Private Institutes who have an ML departmen
Learning Tools /resources
Following software tools / resources will be used during the course:
1. Python
2. Pycharm
3. Anaconda
4. Matplotlib
5. Jupyter
6. Numpy
7. Pandas
8. OpenCV
9. TensorFlow (maintained by Google)
10. Convolutional Neural Network (CNN or ConvNet)
11. NLTK
Students Feedback




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Course Features
- Lectures 79
- Quizzes 0
- Duration 216 hours
- Skill level All levels
- Language English
- Students 25
- Assessments Yes