WSQ - Python Applications for Big Data Analytics and AI / Machine Learning and API and Computer Vision Course Plan:

​​

1 - Leverage Generative AI like ChatGPT

Explore the power of generative AI like ChatGPT. Create applications that can interact intelligently with users and assist with tasks such as content creation, while at the same time limit the answers to company-specific data so that ChatGPT replies are relevant to customers.

​

2 - Unsupervised Machine Learning

As part of data analytics, learn machine learning algorithms that do not require labeled data. Use techniques such as clustering (e.g., k-means) and dimensionality reduction (e.g., PCA) to uncover hidden patterns in data which are too complicated for human to decipher.

​

3 - Computer Vision

Computer vision involves teaching machines to interpret and make decisions based on visual data. Explore image processing, object detection, and facial recognition to automate visual inspections.

​

4 - Create Apps for Your Users

Develop interactive desktop applications and create graphical user interfaces (GUIs) with buttons, text and input fields, and more.

​

5 - API to Communicate with Servers

Application Programming Interfaces (APIs) enable communication between different software systems. Learn how to use APIs to allow your applications to interact with servers, databases, or third-party services like social media platforms, payment gateways, or cloud storage.

​

6 - Web Crawling/Scraping Data

Automate the process of extracting data from websites using web crawlers and scrapers, crucial for collecting large volumes of data from various web sources for market research and competitive intelligence.

​

7 - Blazing Fast Bots for Web Automation

Develop bots that can automate repetitive tasks on the web at high speed. Using powerful Python libraries, you’ll create bots capable of automating tasks such as form submissions, data entry, or navigating websites.

​

8 - Manipulating files, debugging techniques and security considerations