Python Applications for Big Data Analytics and AI / Machine Learning and API and Computer Vision
About This Course
This course offers a high-level, hands-on introduction to Python programming, guiding learners from beginner to intermediate levels. You’ll master essential skills in generative AI, unsupervised machine learning, computer vision, API integration, and web automation, addressing real-world business needs like data analysis, user interface design, and task automation. The course empowers you to develop innovative, practical applications, boosting your competencies in today’s data-driven industries. By the end, you’ll be well-equipped for job upgrading opportunities or entry into fields such as software development, data analytics, or automation, making your skills highly relevant and sought after in the tech industry.
What You'll Learn
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.
Manipulating files, debugging techniques and security considerations will also be covered.
Entry Requirements
• Pass at least GCE ‘O’ level or GCE ‘N’ level Math or higher education in Math or Computer Programming
• Able to create worksheets and apply formula in Excel, Google Sheets, Numbers or similar application