SDL 2024 : Exploring AI
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Microlearning Units ON AI
Learning Outcomes
At the end of the course, you will :
Understand common machine learning terms
Understand what machine learning models are
Understand the basic workings of deep learning
Be able to identify possible ethical issues in a typical AI project
Build a simple demand forecasting model using Orange data mining platform (optional)
Structure Overview and Typical Completion Time
This course consists of 2 modules with 4 quizzes. To successfully complete the course, a learner will have to achieve 100% scores for all quizzes with unlimited attempts.
The total estimated course learning time is 5 hours.
Upon successful completion of the course, you will receive the Literacy in AI certificate.
Learning Objectives
By the end of this course, you will:
have a better understanding of what ChatGPT is.
learn how to interact with ChatGPT.
see examples of use cases.
Structure Overview and Typical Completion Time
This course consists of 3 lessons.
The estimated course learning time is 1 hour.
This course is structured into the following sections:
Part 1: Introduction to ChatGPT and course objectives.
Part 2: How to interact with ChatGPT.
Part 3: See examples of using ChatGPT in revision.
Learning Objectives
By the end of this course, you will:
understand what Large Language Models (LLMs) are.
recognise the significance of LLMs in educational settings.
comprehend the structure of a prompt.
learn techniques to design effective prompts in providing targeted responses.
understand the limitations of LLMs.
Structure Overview and Typical Completion Time
This course consists of 4 lessons.
The estimated course learning time is 2 hours.
This course is structured into the following sections:
Lesson 1: What are Large Language Models (LLMs) and their significance in educational settings?
Lesson 2: What is the structure of a prompt?
Lesson 3: How to design effective prompts?
Lesson 4: What are the limitations of LLMs?
Learning Outcomes
You will understand more about modern AI technologies and terminology and learn how to identify opportunities and potential use cases in your work and daily lives, and build a simple AI model with online tools.
Structure Overview and Typical Completion Time
This course consists of 5 modules and videos with 5 quizzes.
The estimated course learning time is 4 hours. (including two hands-on)