August 04, 2021@ 10:03 AM
Admissions Open Now
6 Months, 520 hours
20 hours / 4 per day
Total Fee: PKR 30,000
Per Month: PKR 5000
This program focuses on the fundamental building blocks you will need to learn in order to become an Artificial Intelligence (AI) practitioner. Specifically, you will learn programming skills, and essential math for building an AI architecture. You’ll even dive into machine learning algorithms, neural networks and deep learning framework. One of our main goals at National Skills University is to help you create a job-ready portfolio. Building a project is one of the best ways to test the skills you’ve acquired, and to demonstrate your newfound abilities to prospective employers. In this certificate program you will be able to learn how to apply popular machine learning and deep learning libraries to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers. In the sections below, you’ll find detailed descriptions of the projects, along with the course material that presents the skills required to complete them.
Every aspiring person who wants to be a part of AI & ML World. This course is recommended for undergraduates looking to get into the AI career. The program assures individuals to gain education and necessary training to become successful in the AI-powered world. This learning kit prepares for skill development and provides job-ready capabilities for applicants looking to move into IT industry.
Successful completion of this certificate will provide you the right balance of knowledge, skills, attitude, and work experiences, an essential element of employability in the industry.
20 hours/4 per day
30% Theory, 70% Practical
Successful completion of this certificate may lead to employment in a variety of different occupations and industries.
In this Project you will be testing your newly acquired python coding skills by using a trained image classifier. You will need to use the trained neural network to classify images of dogs (by breeds) and compare the output with the known dog breed classification. You will have a chance to build your own functions, use command line arguments, test the runtime of the code, create a dictionary of lists, and more.
Learn how to use all the key tools for working with data in Python: Jupyter Notebooks, NumPy, Anaconda, Pandas, and Matplotlib.
Learn the foundational linear algebra you need for AI success: vectors, linear transformations, and matrices—as well as the linear algebra behind neural networks.
Learn the foundations of calculus to understand how to train a neural network: plotting, derivatives, the chain rule, and more. See how these mathematical skills visually come to life with a neural network example.
Successful software developers need to know how to incorporate deep learning models into everyday applications. Any device with a camera will be using image classification, object detection, and face recognition, all based on deep learning models. In this project you will implement an image classification application. This application will train a deep learning model on a dataset of images. It will then use the trained model to classify new images. First you will develop your code in a Jupyter notebook to ensure your training implementation works well. Then, you will convert your code into a Python application that you will run from the command line of your system.
August 04, 2021@ 10:03 AM