This campaign empowers you to use Taipy, a Python framework for interactive, data-driven web apps. Through two tutorials and a quest, you'll create dynamic dashboards, manage workflows, and integrate AI tools for real-world challenges, like visualizing data or building RAG chatbots.

Learn Taipy to develop applications blending backend logic with intuitive front-ends. Integrating LangChain, vector embeddings, and Google's Gemini LLM preps you for dynamic visualizations and smart conversational agents.

Tutorial 1: Introduction to Taipy

Opens on 27 December, 12 noon.

Tutorial 2: Exploring Core Taipy Components

Opens on 30 December, 12 noon.

Before starting this campaign, ensure you are familiar with Python programming, and data manipulation (using libraries like Pandas). With this foundation, you’ll be ready to embark on a journey that equips you to build applications that merge AI and user-focused design.

By the end of this campaign, you will be able to:

• Understand Taipy's core concepts and benefits, utilize visual elements for interactivity, and create advanced layouts and multi-page applications.
• Create Basic Data Workflows: Implement and manage data pipelines, workflows, and scenarios, enabling efficient and scalable decision-making processes.
• Build Real-World Applications: Develop advanced applications like dashboards and chatbots that address real-world problems.
• Leverage AI and NLP: Integrate advanced AI techniques using tools like LangChain, Google’s Gemini LLM, and vector embeddings.
• Achieve End-to-End Proficiency: Combine backend logic, frontend interaction, and advanced AI models to deliver complete, functional applications.