Welcome to AI4I – Foundations in AI

Course Objectives

Foundations in AI is a 140-hour online course which aims to help learners understand and use AI appropriately and be able to program basic AI and data applications in Python.

Learning Outcome

Upon completion of this course, the learner would be able to build basic AI models and Data applications.

Typical Completion Time

The total estimated course learning time is at least 140 hours.

A typical completion time for full-time learning is 5 weeks at 30 hours per week. For part-time learning, typical completion time is 28 weeks at 5 hours per week.

Completion Criteria

To successfully complete the course, a learner will have to achieve 100% score on all 9 quizzes on AI4I – Foundation in AI. Learners have unlimited attempts on quizzes.

Upon successful completion of the course, you will receive the AI for Industry – Foundations in AI certificate.

Prerequisite

AI4I – Literacy in AI

Course Structure and Lesson Plan

AI Makerspace is the primary learning platform used for AI for Industry – Foundations in AI.

AI4I – Foundations in AI consists of

1. 40 compulsory modules and 5 optional modules
2. 9 quizzes

Each module in AI4I – Foundations in AI closely references a specific module on DataCamp which we would recommend you to complete before attempting the quiz in AI4I – Foundations in AI.

This course is bundled with 12-month DataCamp premium access.

You can find the lesson plan for AI4I – Foundations in AI below:

S/N	Section / Module
	I4I-0: Administration
1	DataCamp Access Code
	AI4I-1: Introduction to Python
2	IPY-1: Introduction to Python
3	IPY-2: Intermediate Python
4	IPY-3: Python Data Science Toolbox (Part 1)
5	IPY-4: Python Data Science Toolbox (Part 2)1 Quiz
	AI4I-2: Libraries and Data Manipulation
6	LIB-1: Cleaning Data in Python
7	LIB-2: pandas Foundations
8	LIB-3: Manipulating DataFrames with pandas
9	LIB-4: Merging DataFrames with pandas1 Quiz
	AI4I-3: Exploratory Data Analysis
10	EDA-1: Introduction to Data Visualisation in Python
11	EDA-2: Preprocessing for Machine Learning in Python
12	EDA-3: Feature Engineering for Machine Learning in Python
13	EDA-4: Feature Engineering for NLP in Python1 Quiz
	AI4I-4: Statistical Thinking
14	STAT-1: Statistical Thinking in Python (Part 1)
15	STAT-2: Statistical Thinking in Python (Part 2)
16	STAT-3: Dimensionality Reduction in Python1 Quiz
	AI4I-5: Supervised Learning
17	SUP-1: Setting up your Machine Learning Environment
18	SUP-2: Supervised Learning with scikit-learn
19	SUP-3: Regression
20	SUP-4: Classification
21	SUP-5: Machine Learning with Tree-based Models in Python
22	SUP-6: Model Validation in Python1 Quiz
23	OTH-1: XGBoost Gradient Boosting (Optional)
24	OTH-2: Machine Learning for Time Series Data in Python (Optional)
	AI4I-6: Unsupervised Learning
25	UCLU-1: Unsupervised Learning in Python
26	UCLU-2: Cluster Analysis in Python
27	UCLU-3: Unsupervised Learning1 Quiz
	AI4I-7: Deep Learning
28	DPL-1: Introduction to Deep Learning in Python
29	DPL-2: Introduction to Tensorflow in Python
30	DPL-3: Introduction to Deep Learning with Keras
31	DPL-4: Deep Learning1 Quiz
32	OTH-3: Advanced Deep Learning with Keras (Optional)
33	OTH-4: Image Processing in Python (Optional)
34	OTH-5: Image Processing with Keras in Python (Optional)
	AI4I-8: Other Programming Languages and Tools to Learn
35	LATO-1: Introduction to SQL
36	LATO-2: Joining Data in SQL
37	LATO-3: Introduction to Shell
38	LATO-4: Conda Essentials
39	LATO-5: Hyperparameter Tuning in Python1 Quiz
	AI4I-9: Data Science and AI in the Real World
40	DSPM-1 Data Science Project Lifecycle
41	DSPM-2: Setting up your own AI System using an AI Makerspace ‘brick’1 Quiz
	Mission Accomplished!
42	The Next Steps

The list of 9 quizzes are as follows:

S/N	Quiz Code	Quiz Title
1	AI4I-1-Q	Quiz 1: Introduction to Python Quiz
2	AI4I-2-Q	Quiz 2: Libraries and Data Manipulation Quiz
3	AI4I-3-Q	Quiz 3: Exploratory Data Analysis Quiz
4	AI4I-4-Q	Quiz 4: Statistical Thinking Quiz
5	AI4I-5-Q	Quiz 5: Supervised Learning Quiz
6	AI4I-6-Q	Quiz 6: Unsupervised Learning Quiz
7	AI4I-7-Q	Quiz 7: Deep Learning Quiz
8	AI4I-8-Q	Quiz 8: Other Languages and Tools to Learn Quiz
9	AI4I-9-Q	Quiz 9: Data Science and AI in the Real World Quiz

Programme Support

For technical questions relating to course content, please post them on the forum.
For questions relating to AI for Industry, please email us at ai4i@aisingapore.org.
For questions relating to DataCamp, you may email DataCamp at support@datacamp.com.