First, you will learn about chatbots and in what categories they are used and the different classifications of chatbots. In this course, participants will examine chatbot use cases, the technology stack, and popular development and deployment tools with Amazon's Alexa on Amazon Web Services (AWS) and Google's Dialogflow. The concluding exercise involves recognizing automation and robotics design application. Finally, you will examine process automation using robotics, and in the last tutorial in the course, recognize how modern robotics and AI designs are applied. Delve into DevOps and automated deployment in software design, development, and deployment. Task runners are used to automate repeatable tasks in the build process. Next, you will examine the Human Intervention automation design principle automated testing in software design and development and also the role of task runners in software design and development. This leads learners into exploring automation design, including what Display Status is, and also the Human-Computer Collaboration automation design principle. This is followed by a look at the tasks and processes best suited for automation. The first tutorial explores what automation is and how it is implemented. In this 12-video course, you will examine the different uses of data science tools and the overall platform, as well as the benefits and challenges of machine learning deployment. Finally, you will learn about data issues, data quality, training concepts, overfitting, and bias. You will learn about pitfalls in using AI, and what to avoid. Learners continue by examining several ways in which an organization can plan and develop AI capability the elements organizations need to understand how to assess AI needs and tools management challenges and the impact on personnel. Next, learn the role of data and algorithms in AI implementation. This course discusses strategies for implementation of AI, organizational challenges surrounding the adoption of AI, and the need for training of both personnel and machines. You will then examine how machine learning adds to this intelligence-like behavior, and the next generation with deep learning. Learners will explore the three legs of AI: how it applies intelligence-like behavior to machines. This 13-video course explores how artificial intelligence (AI) can be leveraged, how to plan an AI implementation from setup to architecture, and the issues surrounding incorporating it into an enterprise for machine learning.