Dates
10 June – 20 July 2021
Duration
6 week – 8 weeks forever and ever
Location
Online
Deep learning uses an artificial neural network that mimics a human brain and allows the machine to analyse unstructured data in a structured manner as humans would do. The potential and numerous applications of deep learning in business are profound and may only be limited by one’s imagination. Deep Learning comes to its own when working on complex problems such as image classification/facial recognition, natural language processing, and speech recognition.
Upon completing the Deep Learning Course, learners will have a better understanding of deep learning, deep learning building blocks and comprehend how DP techniques outperform traditional ML techniques analysing unstructured data sets. Students will also be able to solve business problems using Computer Visions and how to develop a DL anchored AI strategy for business processes.
We anticipate the application form will take approximately 15 minutes to complete. You will need to create a new account to get started.
As soon as you submit your application, you will receive a receipt email.
You will receive a follow up email within two days of your application.
Your participation is not secured until payment is made.
As the programme is conducted in English, a good working knowledge of the language is essential.
Delegates who cancel their registration less than 15 working days prior to programme/course commencement, will be liable for 50% of the programme fee. Those who do not participate in the course without cancelling will still be liable for the full fee. Notification of cancellation must be sent in writing to the Programme Manager.
Intelligent Automation
Upon completion of the Machine Learning course you will be an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You will master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, hands-on modeling to develop algorithms and prepare you for the role of a machine learning engineer.
Tags: Online, Skills Development, Machine Learning
Intelligent Automation
In this course, learners will be taught how to automate repetitive tasks using Python. This course will teach learners how to automate almost anything: from filling out PDFs and launching programs, to sending emails and voicemails, working with calendars, and organising files and folders. Learners will learn how to use open-source libraries and tools such as Beautiful Soup and Selenium to craft automated solutions.
Tags: Online, Skills Development, Python Automation, Automate Repetitive Tasks, Beautiful Soup, Selenium