[major=AI | course_id=AIG202c | syllabus_id=12551 | semester=2 | combo=core | title=Artificial Intelligence]
Course ID: AIG202c
Title EN: Artificial Intelligence
Title VI: Trí tuệ nhân tạo
Credits: 3.0
Prerequisites: 
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.
Student tasks: Student must get the certification of AI Foundations for Everyone specialization from Coursera to be accepted to the final examination
Tools: 
Course type: coursera_only
Decision: 359/QĐ-ĐHFPT dated 04/09/2025
Approved date: 2025-04-09
CLO1: Understand what is AI, its applications and use cases, its ethical considerrations and how it is transforming our lives.
[1] category=TE; type=Final exam; weight=100.0; duration=60'; question_type=; grading_guide=All studied courses. Each module of course contributes 2-3 questions.; completion_criteria=; clos=4
[1] desc=https://www.coursera.org/learn/introduction-to-ai; author=; publisher=Coursera; edition=; isbn=; main=True; online=True; note=MOOC 01: Introduction to Artificial Intelligence (AI)
[2] desc=https://learner.coursera.help/hc/en-us/articles/208280036-Coursera-Code-of-Conduct; author=; publisher=Coursera; edition=; isbn=; main=; online=True; note=Help Articles
[3] desc=https://www.coursera.org/learn/generative-ai-introduction-and-applications; author=; publisher=Coursera; edition=; isbn=; main=True; online=True; note=MOOC 02: Generative AI: Introduction and Applications
[4] desc=https://www.coursera.org/learn/building-ai-powered-chatbots; author=; publisher=Coursera; edition=; isbn=; main=True; online=True; note=MOOC 04: Building AI Powered Chatbots Without Programming
[5] desc=https://www.coursera.org/specializations/ai-foundations-for-everyone; author=; publisher=Coursera; edition=; isbn=; main=True; online=True; note=SPEC: AI Foundations for Everyone Specialization
[6] desc=https://www.coursera.org/learn/generative-ai-prompt-engineering-for-everyone; author=; publisher=Coursera; edition=; isbn=; main=True; online=True; note=MOOC 03: Generative AI: Prompt Engineering Basics
Session 1: 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
Topic: Offline,Online; Teaching type: LO1, LO2; LO: 
ITU: 
Download: - Watch all videos, read all materials in the MOOC
- Finish quizzes, self-assessment, assignments and take part in discussion boards (if needed)
All students should participate in offline slot (if any question)

Session 2: - AI: Issues, Concerns and Ethical Considerations
Topic: Online; Teaching type: LO1, LO2; LO: 
ITU: 
Download: - Watch all videos, read all materials in the MOOC
- Finish quizzes, self-assessment, assignments and take part in discussion boards (if needed)

Session 3: - The Future with AI, and AI in Action
Topic: Online; Teaching type: LO1, LO2; LO: 
ITU: 
Download: - Watch all videos, read all materials in the MOOC
- Finish quizzes, self-assessment, assignments and take part in discussion boards (if needed)

Session 4: Generative AI: Introduction and Applications:
- Introduction and capacities of Generative AI
- Application and tools of Generative AI
Topic: Online; Teaching type: LO3; LO: 
ITU: 
Download: - Watch all videos, read all materials in the MOOC
- Finish quizzes, self-assessment, assignments and take part in discussion boards (if needed)
CLO2: Explain underlying concepts related to Machine Learning, Deep Learning and Neural Networks.
Session 1: - Course quiz, project and warm-up
Topic: Online; Teaching type: LO3; LO: 
ITU: 
Download: - Watch all videos, read all materials in the MOOC
- Finish quizzes, self-assessment, assignments and take part in discussion boards (if needed)

Session 2: Generative AI: Prompt Engineering Basics:
- Prompt Engineering for Generative AI
Topic: Online; Teaching type: LO4; LO: 
ITU: 
Download: - Watch all videos, read all materials in the MOOC
- Finish quizzes, self-assessment, assignments and take part in discussion boards (if needed)

Session 3: - Prompt Engineering: Techniques and Approaches
Topic: Online; Teaching type: LO4; LO: 
ITU: 
Download: - Watch all videos, read all materials in the MOOC
- Finish quizzes, self-assessment, assignments and take part in discussion boards (if needed)

Session 4: - Course quiz, project and warm-up
Topic: Online; Teaching type: LO4; LO: 
ITU: 
Download: - Watch all videos, read all materials in the MOOC
- Finish quizzes, self-assessment, assignments and take part in discussion boards (if needed)
CLO3: Explore common generative AI models and tools for text, code, image, audio, and video generation.
Session 1: Building AI Powered Chatbots Without Programming:
- Introduction
- Intents
Topic: Online; Teaching type: LO5; LO: 
ITU: 
Download: - Watch all videos, read all materials in the MOOC
- Finish quizzes, self-assessment, assignments and take part in discussion boards (if needed)

Session 2: - Entities
- Dialog
Topic: Online; Teaching type: LO5; LO: 
ITU: 
Download: - Watch all videos, read all materials in the MOOC
- Finish quizzes, self-assessment, assignments and take part in discussion boards (if needed)

Session 3: - Deployment
- Context Variables & Slots
Topic: Online; Teaching type: LO5; LO: 
ITU: 
Download: - Watch all videos, read all materials in the MOOC
- Finish quizzes, self-assessment, assignments and take part in discussion boards (if needed)

Session 4: - Digressions
- Summary
- (Optional) Watson Actions
- Final Exam (spec)
Offline 2: Review AI Foundations for Everyone Specialization (Spec)
Topic: Offline,Online; Teaching type: LO5; LO: 
ITU: 
Download: https://flm.fpt.edu.vn/gui/role/student/- Watch all videos, read all materials in the MOOC- Finish quizzes, self-assessment, assignments and take part in discussion boards (if needed)Deadline of Coursera completion: End of Friday of the week.All students should participate in review slot (if any question)
CLO4: Explore commonly used tools for prompt engineering to aid with prompt engineering
CLO5: Visually create chatbots with Watson Assistant (formerly Watson Conversation) and how to deploy them on your own website through a handy WordPress plugin.