Python Case Studies: Build Chatbots, Apps & Systems
By External Provider
About this course
By completing this course, learners will design, implement, and validate real-world Python projects while gaining hands-on experience in natural language processing, database-driven applications, and text-processing automation. They will develop a rule-based chatbot, build and enhance an expense manager app, and implement a full markup processing system with PDF generation. The course begins with chatbot development, where learners set up their environment, apply NLTK tools, and refine reflection dictionaries and pairs to create intelligent conversational agents. Next, learners will design and enhance an expense manager app, focusing on form creation, SQL integration, data visualization, and advanced category management to deliver a fully functional financial tracking tool. The course concludes with the Instant Markup project, guiding learners through parsing, rules, filters, and handlers to transform raw text into structured documents, ending with PDF output and internet-based data gathering. Unlike traditional Python tutorials, this course is case-study driven, meaning every skill is applied in a practical context. Learners not only master Python coding but also apply Bloom’s higher-order skills—analyzing, designing, and implementing solutions to real-world problems. By the end, participants will be equipped to tackle projects that combine NLP, database operations, and automated text processing.
What you will learn
- Build a chatbot with NLTK and rule-based logic.
- Design an expense manager app with SQL and visualization.
- Implement markup processing and PDF generation workflows.