After completing this course, you should be able to:

• Explain what AI is
• Describe the field of AI and its subfields: Machine learning, natural language processing (NLP), and computer vision
• List applications of AI in the industry and government
• Describe machine learning
• Describe different types of machine learning algorithms
• Apply machine learning algorithms to specific problems
• Explain deep learning
• Explain convolutional neural networks and neural networks
• Describe examples of unsupervised and supervised learning
• Describe IBM Watson
• Explain how Watson technology is applied to solve real-world problems
• Explain the capabilities of each Watson service
• Describe Watson Studio, its components, and key applications
• Describe the CRISP-DM process model and explain where machine learning fits in the CRISP-DM process
• Create machine learning models for different machine learning algorithms by using Watson Studio
• Explain domain adaptation
• Describe the purpose of training the various Watson services
• Describe IBM Watson Knowledge Studio capabilities and use
• Explain what NLP is
• List tools and services for NLP
• Identify NLP use cases
• Explain the main NLP concepts
• Explain how to evaluate the quality of an NLP algorithm
• Identify the Watson services based on NLP technology
• Use IBM Watson Discovery to build a cognitive query application
• Describe chatbot applications and chatbot design guidelines
• Explain core concepts and artifacts needed to build a chatbot application
• Build chatbot applications with Watson Assistant and Node-RED.
• Explain what computer vision is
• Identify computer vision use cases
• Explain how computer vision analyzes and processes images and describe commonly used computer vision techniques
• Use the Watson Visual Recognition service to classify an image, detect faces, and recognize text in an image
• Create custom models with Watson’s Visual Recognition
• Train the Watson Visual Recognition service with Watson Studio
• Integrate multiple Watson services to build a comprehensive intelligent solution

.