Course Summary
In this course, you will learn how to build AI applications using popular tools and frameworks. You'll explore real-world examples of AI applications in industries such as healthcare, finance, and transportation.Key Learning Points
- Learn to build AI applications using popular tools and frameworks
- Explore real-world examples of AI applications in various industries
- Understand the ethics and societal implications of AI
Related Topics for further study
Learning Outcomes
- Build AI applications using popular tools and frameworks
- Explore real-world examples of AI applications in various industries
- Understand the ethics and societal implications of AI
Prerequisites or good to have knowledge before taking this course
- Basic programming knowledge in Python
- Familiarity with machine learning concepts
Course Difficulty Level
IntermediateCourse Format
- Self-paced
- Online
- Video Lectures
Similar Courses
- Applied Data Science with Python
- Deep Learning Specialization
Related Education Paths
Notable People in This Field
- Andrew Ng
- Fei-Fei Li
Related Books
Description
A learner will be able to write an application that leverages multiple Watson AI services (Discovery, Speech to Text, Assistant, and Text to Speech). By the end of the course, they’ll learn best practices of combining Watson services, and how they can build interactive information retrieval systems with Discovery + Assistant.
Outline
- Module 1: Introduction
- Course Introduction
- Building AI Applications
- The Technologies We Are Going to Use
- General Information
- Syllabus
- What's Next
- Quiz 1 - Introduction
- Module 2: Watson Discovery
- Understanding Watson Discovery
- Creating a Discovery Collection
- What's Next
- Quiz 2 - Watson Discovery
- Module 3: Building the Chatbot
- Integrating Watson Assistant & Discovery
- Creating a Chatbot with Watson Assistant
- Adding Discovery to the Chatbot
- What's Next
- Quiz 3 - Integrating Assistant and Discovery
- Module 4: Giving it a Voice
- Voice Options for your Chatbot
- Adding Watson Speech Services
- What's Next
- Quiz 4 - Speech APIs
- Module 5: Deployment
- Understanding Deployment Options
- Deploying your Chatbot to Facebook Messenger
- Deploying your Chatbot to Slack
- What's Next
- Quiz 5 - Deployment
- Module 6: Project
- Conclusion & Next Steps
Summary of User Reviews
Discover how to build intelligent applications with the Building AI Applications course on Coursera. This course has received positive reviews from many users, who praised its comprehensive and practical approach to teaching AI application development.Key Aspect Users Liked About This Course
The course is well-structured and covers a wide range of topics related to AI application development.Pros from User Reviews
- Practical and hands-on approach to learning AI application development
- Comprehensive coverage of different AI techniques and tools
- Engaging and knowledgeable instructors who provide clear explanations
- Good balance between theory and practice
- Flexible learning schedule that allows users to study at their own pace
Cons from User Reviews
- Some users found the course to be too advanced for beginners
- Lack of personalized feedback from instructors
- Occasional technical issues with the course platform
- The course may require a significant time commitment
- Some users felt that the course could benefit from more real-world examples
Antonio Cangiano
4.3 Raiting
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