In the Python Automation 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.
Upon completion of the Python Automation Course, learners will be able to do data extraction using the open-source libraries Beautiful Soup and Selenium. Learners will also be able to do excel and word manipulation and sending emails with SMTP and retrieving them with IMPA.
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
Deep learning uses an artificial neural network that mimics a human brain and allows the machine to analyze 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 complex problems such as image classification/facial recognition, natural language processing, and speech recognition.
Tags: Online, Skills Development, Deep Learning
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Tags: Online, Skills Development, Machine Learning, Artificial Intelligence, Data Analysis, Algorithms