Step-by-step guide to building an AI chatbot from scratch using a Large Language Model (LLM).

Artificial Intelligence (AI) is transforming our world. Whether you’re a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer. It will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web. Rather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions.Applied Learning Project This Professional Certificate will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. If you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions.

This project demonstrates how to build an AI model from scratch using PyTorch. It includes training scripts, a chatbot implementation, and a Docker setup to ensure compatibility across different platforms.

This project demonstrates how to build an AI-powered Medical Chatbot from scratch using Large Language Models (LLMs) integrated with LangChain, Pinecone, and Flask. The chatbot can understand user queries, retrieve relevant medical information, and generate intelligent, context-aware responses, all in real-time.

A lightweight yet powerful AI Chatbot built with Python that simulates real-time conversations. This project demonstrates how to build an intelligent conversational interface from scratch, making it ideal for learning about natural language processing (NLP), event handling, and UI interaction design.