Krispy: Programming

Session 1-1

Overview: Overview of the role of AI in enhancing customer interactions in e-commerce through WhatsApp. Lecture: "The Basics of AI in Conversational Commerce" Hands-on Work Example: Explore Krispy's current AI models and understand their basic functionalities. Assignment: follow a step-by-step setup of a local development environment and run a simple AI model related to Krispy’s technology

Session 1-2

Overview: Deep dive into the lifecycle of an AI project from conception to deployment. Lecture: "Lifecycle of an AI Model in Commerce" Hands-on Work Example: Walkthrough of Krispy's AI model development stages using a sample project. Assignment: Sketch out a flowchart of the AI deployment process at Krispy, identifying key stages and tools used.

Session 2-1

Overview: Learn about the importance of data in training AI models, focusing on data collection, cleaning, and preprocessing. Lecture: "Data Engineering for AI Systems" Hands-on Work Example: Participate in the data preprocessing steps for a new AI feature. Assignment: Clean and prepare a dataset for training purposes, documenting the process.

Session 2-2

Overview: Understanding how AI models interface with front-end applications to create seamless user experiences. Lecture: "Integrating AI with Front-End Systems" Hands-on Work Example: Implement a connection between a simple AI model and a front-end chat interface. Assignment: Develop a basic front-end feature that utilizes the chatbot model to interact with users.

Session 3-1

Overview: Introduction to building machine learning models tailored to conversational commerce. Lecture: "Building ML Models for Customer Engagement" Hands-on Work Example: Assist in the development of a machine learning model, including feature selection and model training. Assignment: Train a basic chatbot model using a prepared dataset and evaluate its performance.

Session 3-2

Overview: Techniques for debugging and enhancing the performance of AI systems. Lecture: "Debugging and Optimizing AI Models" Hands-on Work Example: Participate in a debugging session to identify issues in a current AI project. Assignment: Optimize an existing AI feature, documenting the changes and observed improvements.

Session 4-1

Overview: Explore the ethical considerations and user experience design in AI development. Lecture: "Ethics in AI Applications" Hands-on Work Example: Review ethical guidelines and assess their application in Krispy’s AI tools. Assignment: Propose modifications to enhance user interaction with the AI system, focusing on ethical guidelines.

Session 4-2

Overview: Finalizing projects and creating comprehensive documentation for future reference and scalability. Lecture: "Documenting AI Projects for Scalability" Hands-on Work Example: Collaborate on the documentation of an ongoing AI project. Assignment: Create a detailed project report summarizing the internship experience, focusing on the development and application of an AI model.