Artificial Intelligence (AIG202c)
Vietnamese title: Trí tuệ nhân tạo
Credits: 3

Description:
This specialization is designed for those with little or no background in AI, whether you have technology background or not, and does not require any programming skills. It is designed to give you a firm understanding of what is AI, its applications and use cases across various industries. Students will become acquainted with terms like Machine Learning, Deep Learning and Neural Networks.

Furthermore, it will familiarize you with IBM Watson AI services that enable any business to quickly and easily employ pre-built AI smarts to their products and solutions. Students will also learn about creating intelligent virtual assistants and how they can be leveraged in different scenarios.

By the end of this specialization, learners will have had hands-on interactions with several AI environments and applications, and have built and deployed an AI enabled chatbot on a website – without any coding.

Learners will perform several no-code hands-on exercises in each of the three courses. At the end of the last course, learners would have developed, tested, and deployed a Watson AI powered customer service chatbot on a website to delight their clients.

Learning outcomes:
Understand what is AI, its applications and use cases, its ethical considerrations and how it is transforming our lives.
Explain underlying concepts related to Machine Learning, Deep Learning and Neural Networks.
Explore common generative AI models and tools for text, code, image, audio, and video generation.
Explore commonly used tools for prompt engineering to aid with prompt engineering
Visually create chatbots with Watson Assistant (formerly Watson Conversation) and how to deploy them on your own website through a handy WordPress plugin.

Student tasks:
Student must get the certification of AI Foundations for Everyone specialization from Coursera to be accepted to the final examination

Tools:

Materials:
description: https://www.coursera.org/learn/introduction-to-ai
publisher: Coursera
note: MOOC 01: Introduction to Artificial Intelligence (AI)
description: https://learner.coursera.help/hc/en-us/articles/208280036-Coursera-Code-of-Conduct
publisher: Coursera
note: Help Articles
description: https://www.coursera.org/learn/generative-ai-introduction-and-applications
publisher: Coursera
note: MOOC 02: Generative AI: Introduction and Applications
description: https://www.coursera.org/learn/building-ai-powered-chatbots
publisher: Coursera
note: MOOC 04: Building AI Powered Chatbots Without Programming
description: https://www.coursera.org/specializations/ai-foundations-for-everyone
publisher: Coursera
note: SPEC: AI Foundations for Everyone Specialization
description: https://www.coursera.org/learn/generative-ai-prompt-engineering-for-everyone
publisher: Coursera
note: MOOC 03: Generative AI: Prompt Engineering Basics

Assessments:
category: TE
type: Final exam
weight: 100.0
duration: 60'
no_question: Computer gradable
knowledge_and_skill: 60
grading_guide: All studied courses. Each module of course contributes 2-3 questions.
note: by Exam Board

Schedule:
session: Specialization Introduction
Introduction to Artificial Intelligence (AI)
- What is AI? Applications and Examples of AI
- AI Concepts, Terminology, and Application Areas
Offline 1: Introduction to the online course AIG202c
session: - AI: Issues, Concerns and Ethical Considerations
session: - The Future with AI, and AI in Action
session: Generative AI: Introduction and Applications:
- Introduction and capacities of Generative AI
- Application and tools of Generative AI
session: - Course quiz, project and warm-up
session: Generative AI: Prompt Engineering Basics:
- Prompt Engineering for Generative AI
session: - Prompt Engineering: Techniques and Approaches
session: - Course quiz, project and warm-up
session: Building AI Powered Chatbots Without Programming:
- Introduction
- Intents
session: - Entities
- Dialog
session: - Deployment
- Context Variables & Slots
session: - Digressions
- Summary
- (Optional) Watson Actions
- Final Exam (spec)
Offline 2: Review AI Foundations for Everyone Specialization (Spec)