IBM SkillsBuild: AI Chatbot Prototype Development & Validation

The objective of this project is to: Design, build and validate a functional prototype of an AI-powered chatbot tailored to solve a defined business challenges (e.g, customer support automation, employee onboarding, internal knowledge retrieval).  Desired outcomes by the end of the project: Define natural language processing Explain how AI uses natural language processing to derive meaning from text Explain the classification problem and its solutions Describe how a chatbot understands, reasons, learns, and interacts with users Distinguish between intents, entities, and dialogs Identify appropriate uses for chatbots Identify real-world uses for natural language processing (NLP) Describe how AI classifies images to derive meaning from them Describe how a convolutional neural network(CNN) analyzes an image Describe how a generative adversarial network (GAN) creates a credible image Identify real-world uses for computer vision Recommended IBM SkillsBuild course: Run AI Models with IBM Watson Studio

IBM SkillsBuild: AI Use Case Exploration for Industry

The objective of this project is to: Conduct an opportunity analysis to identify and evaluate three promising AI use cases within a specific industry (e.g., healthcare, retail, logistics). The aim is to uncover high-ROI opportunities and recommend how similar applications could be piloted within our business. This will serve as a strategic guide for employers assessing AI initiatives with potential business impact. Desired outcomes by the end of the project: Define artificial intelligence Describe three levels of artificial intelligence Describe the history of AI from the past to the possible future Define and describe machine learning Differentiate between structured and unstructured data Describe how machine learning structures data Describe how machine learning structures unstructured data Describe how machine learning uses probabilistic calculation to solve problems Describe three methods by which machine learning analyzes data Describe an ideal relationship between humans and machine learning Recommended IBM SkillsBuild course: Introduction to Artificial Intelligence

IBM SkillsBuild: Build a Simple Image Classifier

The objective of this project is to: Create a basic AI model that classifies images and can be used by my business (e.g., handwritten digits or fruit). Desired outcomes by the end of the project: Describe machine learning algorithms and models Explain the purpose of IBM Watson Studio Describe the key features and benefits of IBM Watson Studio Set up a machine learning project in IBM Watson Studio Create a Cloud Object Storage resource Import a data set into IBM Watson Studio Build an AI model using AutoAI in IBM Watson Studio Run a prediction experiment for an AI model Explain the confusion matrix Save a model as a Jupyter Notebook Download a notebook in Jupyter Notebook (.ipynb) format Recommended IBM SkillsBuild course: Run AI Models with IBM Watson Studio