Building AI-Powered Assistants with Oracle Digital Assistant Course Overview

Building AI-Powered Assistants with Oracle Digital Assistant Course Overview

The "Building AI-Powered Assistants with Oracle Digital Assistant" course is designed to teach learners how to create, configure, and deploy intelligent chatbots using the Oracle Digital Assistant platform. The course covers the end-to-end process of building a digital assistant, from establishing the foundational environment to fine-tuning its performance through quality reports.

Module 1 introduces learners to creating and configuring an Oracle Digital Assistant, setting the stage for the development process. Module 2 dives into creating a skill within the assistant, a critical component for handling specific user requests. Module 3 and Module 4 are crucial for understanding how to create intents and entities, respectively, enabling the assistant to comprehend and extract meaningful information from user interactions.

In Module 5, participants learn about working with Dialog Flow Definition, which is essential for designing the conversation flow. Module 6 and Module 7 focus on configuring and testing the Oracle Digital Assistant, ensuring its readiness for real-world usage. Module 8 describes the user channel configuration, teaching how to integrate the assistant with various user interfaces. Finally, Module 9 emphasizes the importance of quality reports in Oracle Digital Assistant, guiding learners on how to measure and improve the assistant's performance.

By completing this course, learners will gain valuable skills in AI-powered assistant development, enabling them to craft engaging and effective chatbot experiences with Oracle's robust tools.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 16 Hours)
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  • Live Online Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To successfully undertake training in the Building AI-Powered Assistants with Oracle Digital Assistant course, participants should have the following minimum required prerequisites:


  • Basic understanding of AI concepts and terminology, especially related to chatbots and virtual assistants.
  • Familiarity with the fundamentals of programming and software development principles.
  • Knowledge of web technologies such as HTML, CSS, and JavaScript is helpful but not mandatory.
  • Experience with any programming language (e.g., Java, Python, Node.js) can be beneficial for understanding scripting within Oracle Digital Assistant.
  • An understanding of JSON structure and syntax, as it is commonly used for configuration and data exchange in Oracle Digital Assistant.
  • Basic knowledge of RESTful services and APIs, as Oracle Digital Assistant often interacts with external services.
  • Comfortable with using web-based interfaces for software configuration and development.
  • Ability to use command-line interfaces (CLI) for certain tasks may be advantageous.

Please note that while having a background in the above areas will greatly aid in your learning experience, the course is designed to guide you through the necessary concepts and practices for building AI-powered assistants using Oracle Digital Assistant. Our instructors will provide you with the support and resources you need to acquire these skills throughout the duration of the course.


Target Audience for Building AI-Powered Assistants with Oracle Digital Assistant

Learn to build AI-driven chatbots with Koenig's course on Oracle Digital Assistant, tailored for IT professionals aiming to enhance customer experience.


Job roles and audience for the course:


  • Software Developers and Engineers with an interest in AI and chatbot technologies
  • Oracle Solution Architects and Consultants
  • System Integrators specializing in Oracle technologies
  • Technical Project Managers overseeing AI or chatbot projects
  • IT Professionals seeking to upskill in AI-powered conversational interfaces
  • Data Scientists looking to apply their skills in conversational AI
  • Customer Support Managers aiming to implement AI chatbots for service improvement
  • Product Managers responsible for digital products or services
  • User Experience (UX) Designers interested in conversational UI design
  • IT Students and Educators seeking knowledge in the latest Oracle digital assistant technologies
  • Technical Sales and Marketing Professionals focusing on AI solutions
  • Innovation Managers exploring AI to improve customer interactions


Learning Objectives - What you will Learn in this Building AI-Powered Assistants with Oracle Digital Assistant?

Introduction to Learning Outcomes and Concepts Covered

This course equips students with the skills to build, test, and deploy AI-powered assistants using Oracle Digital Assistant. It covers foundational concepts, skill creation, intent and entity definition, dialog flow, testing, and quality analysis.

Learning Objectives and Outcomes

  • Understand the architecture and components of Oracle Digital Assistant to create and manage AI chatbots effectively.
  • Configure a new Oracle Digital Assistant instance, including setting up the necessary environments and permissions.
  • Develop a comprehensive Oracle Digital Assistant skill to fulfill specific business functions or user interactions.
  • Create and train intents within the Oracle Digital Assistant to accurately interpret user input and intentions.
  • Define and utilize entities to extract relevant information from user interactions, enhancing the assistant's ability to respond appropriately.
  • Design and implement a dialog flow that orchestrates the conversation between the user and the assistant in a coherent and logical manner.
  • Apply best practices for testing and debugging skills within the Oracle Digital Assistant platform to ensure a seamless user experience.
  • Configure the Oracle Digital Assistant to integrate with various user channels, expanding the reach of the assistant across multiple platforms.
  • Analyze quality reports generated by Oracle Digital Assistant to understand interactions and continuously improve assistant performance.
  • Gain insights into advanced features and techniques for optimizing the Oracle Digital Assistant to meet complex business requirements.

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