Institute for Data Innovation and Artificial Intelligence 

Leading the Way in AI and Data Science Education
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Institute for Data Innovation and Artificial Intelligence 

Leading the Way in AI and Data Science Education
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AI and Data Science Certification Program for Tertiary Education Students and Professionals

AI Certification Program (Beginner + Intermediate) *
Data Science Certification Program (Beginner + Intermediate) *

Certification award

AI Certification Program (Beginner + Intermediate) *
  • To be announced.
  • To be awarded the certification mentioned above, you must complete all the five courses listed. However, you can choose to enrol (register) in any course without pursuing the full certification.
  • * With applications and use cases in diverse fields such as healthcare, engineering, agriculture, public health, business, art, environment, etc.
Vote Now: AI Certification Program (Beginner + Intermediate) for Tertiary Education & Adult – Are You Interested?

List of courses:

  1. Introduction to AI and Data Science  (12 hours)
  2. Python Programming (15 hours)
  3. Machine Learning (12 hours)
  4. Deep Learning  (12 hours)
  5. Generative AI (12 hours)
  6. AI Project (Capstone + Deployment) - 12 hours
COURSE 1

Introduction to AI and Data Science

This course offers tertiary education students a comprehensive introduction to Artificial Intelligence (AI) and Data Science, emphasising their applications across a variety of fields such as healthcare, engineering, agriculture, business, art, environment, public health, etc. Through interactive lessons and hands-on projects, students will learn the fundamentals of data collection, analysis, and visualisation, along with key AI concepts including machine learning, natural language processing, and computer vision. The curriculum focuses on practical understanding, utilising industry-relevant tools and real-world datasets to solve complex problems and make data-driven decisions. Ethical considerations and the societal impact of AI and data science are also addressed, equipping students with the knowledge to responsibly apply these technologies in their professional fields. By the end of the course, students will have a robust foundation in AI and Data Science, preparing them for advanced study and roles in these rapidly evolving disciplines.
COMING SOON
DETAILS
PRICE
DELIVERY MODE
Participant: Tertiary Education Student & Adult
Hour per session: 1.5 hours
Number of weeks: 8 weeks
Total Hours: 12 hours
Normal Price
AUD
330
  • Location:
    • Cranbourne, Clyde North, Narre Warren, Lynbrook
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 5:30pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
  • Required Equipment
    • Please bring your own laptop or notebook and ensure that the camera, microphone, and speaker are working properly.
  • Location:
    • Online using Zoom
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 4pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
 COURSE 2

Python Programming

This course introduces tertiary education students to Python, a versatile and powerful programming language widely used across various industries. Students will learn the fundamentals of Python, including installation, running scripts, and working with Jupyter Notebook. The course covers core programming concepts such as variables, data structures, loops, conditional statements, and file input/output operations. Additionally, students will explore Python libraries, focusing on pandas for data manipulation and analysis. The course includes real-world applications and use cases across diverse fields such as healthcare, engineering, agriculture, business, art, public health, environmental sciences, etc. Through engaging lessons and hands-on projects, students will develop practical coding skills and be equipped to tackle advanced programming challenges in their respective fields.
COMING SOON
DETAILS
PRICE
DELIVERY MODE
Participant: Tertiary Education Student & Adult
Hour per session: 1.5 hours
Number of weeks: 10 weeks
Total Hours: 15 hours
Normal Price
AUD
330
  • Location:
    • Cranbourne, Clyde North, Narre Warren, Lynbrook
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 5:30pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
  • Required Equipment
    • Please bring your own laptop or notebook and ensure that the camera, microphone, and speaker are working properly.
  • Location:
    • Online using Zoom
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 4pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
COURSE 3

Machine Learning

This course provides tertiary education students with a comprehensive introduction to Machine Learning (ML) within the broader context of AI and Data Science. Students will explore fundamental ML concepts, including supervised learning techniques like classification and prediction, unsupervised learning methods, and reinforcement learning principles. The course highlights practical applications of ML, offering students hands-on experience in addressing real-world challenges across various fields such as healthcare, engineering, agriculture, business, art, environment, public health, etc. By the end of the course, students will possess a strong understanding of ML techniques and their applications, equipping them to apply these skills in their fields of study.
COMING SOON
DETAILS
PRICE
DELIVERY MODE
Participant: Tertiary Education Student & Adult
Hour per session: 1.5 hours
Number of weeks: 8 weeks
Total Hours: 12 hours
Normal Price
AUD
330
  • Location:
    • Cranbourne, Clyde North, Narre Warren, Lynbrook
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 5:30pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
  • Required Equipment
    • Please bring your own laptop or notebook and ensure that the camera, microphone, and speaker are working properly.
  • Location:
    • Online using Zoom
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 4pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
COURSE 4

Deep Learning

This course introduces tertiary education students to the essentials of Deep Learning (DL) within the framework of AI and Data Science. Students will begin by learning the fundamentals of DL and neural networks, progressing to the use of Python tools and libraries for deep learning, including TensorFlow. The curriculum covers practical applications such as classification with deep learning and extends to real-world use cases like image classification, object detection, and text processing. Emphasizing diverse fields such as healthcare, engineering, agriculture, business, art, environment, public health, etc., the course provides hands-on projects and exercises that enable students to develop and apply deep learning models to a variety of data challenges relevant to their fields of study.
COMING SOON
DETAILS
PRICE
DELIVERY MODE
Participant: Tertiary Education Student & Adult
Hour per session: 1.5 hours
Number of weeks: 8 weeks
Total Hours: 12 hours
Normal Price
AUD
330
Click here on how you can get Aud 20 Coupon Code
  • Location:
    • Cranbourne, Clyde North, Narre Warren, Lynbrook
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 5:30pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
  • Required Equipment
    • Please bring your own laptop or notebook and ensure that the camera, microphone, and speaker are working properly.
  • Location:
    • Online using Zoom
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 4pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
COURSE 5

Generative AI

This course introduces tertiary education students to the exciting field of Generative AI, exploring its potential across diverse domains such as healthcare, engineering, agriculture, business, art, environment, public health, etc. Students will delve into the core concepts of generative models and learn how these models create new content, including images, text, and music. The curriculum covers foundational techniques and algorithms used in Generative AI, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Through hands-on projects and practical examples, students will build and apply generative models to develop innovative solutions and creative applications tailored to their fields of study. By the end of the course, students will have a comprehensive understanding of Generative AI and its transformative potential in various industries.
COMING SOON
DETAILS
PRICE
DELIVERY MODE
Participant: Tertiary Education Student & Adult
Hour per session: 1.5 hours
Number of weeks: 8 weeks
Total Hours: 12 hours
Normal Price
AUD
330
  • Location:
    • Cranbourne, Clyde North, Narre Warren, Lynbrook
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 5:30pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
  • Required Equipment
    • Please bring your own laptop or notebook and ensure that the camera, microphone, and speaker are working properly.
  • Location:
    • Online using Zoom
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 4pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
COURSE 6

AI Project (Capstone + Deployment)

This course provides tertiary education students with a comprehensive capstone experience, allowing them to apply their AI knowledge to real-world projects in specialised areas such as healthcare, engineering, agriculture, business, public health, art, environment, etc. Students will work on end-to-end AI projects, from conceptualisation and development to testing and deployment. The course emphasises practical, hands-on experience, culminating in the deployment of AI models using tools like Streamlit to create interactive web applications. Through this capstone course, students will develop advanced skills in AI project management, problem-solving, and deployment, preparing them for professional careers in their chosen specialisation fields.
COMING SOON
DETAILS
PRICE
DELIVERY MODE
Participant: Tertiary Education Student & Adult
Hour per session: 1.5 hours
Number of weeks: 8 weeks
Total Hours: 12 hours
Normal Price
AUD
330
  • Location:
    • Cranbourne, Clyde North, Narre Warren, Lynbrook
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 5:30pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
  • Required Equipment
    • Please bring your own laptop or notebook and ensure that the camera, microphone, and speaker are working properly.
  • Location:
    • Online using Zoom
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 4pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants

Certification award

Data Science Certification Program (Beginner + Intermediate) *
  • To be announced.
  • To be awarded the certification mentioned above, you must complete all the six courses listed. However, you can choose to enrol (register) in any course without pursuing the full certification.
  • * With applications and use cases in diverse fields such as healthcare, engineering, agriculture, public health, business, art, environment, etc.
Vote Now: Data Science Certification Program (Beginner + Intermediate) for Tertiary Education & Adult – Are You Interested?

List of courses:

  1. Introduction to AI and Data Science  (12 hours)
  2. Python Programming (15 hours)
  3. Exploratory Data Analysis and Visualisation
  4. Machine Learning (12 hours)
  5. Deep Learning (12 hours)
  6. Big Data Analytics (12 hours)
  7. Data Science Project (Capstone + Deployment) - 12 hours
COURSE 1

Introduction to AI and Data Science

This course offers tertiary education students a comprehensive introduction to Artificial Intelligence (AI) and Data Science, emphasising their applications across a variety of fields such as healthcare, engineering, agriculture, business, art, environment, public health, etc. Through interactive lessons and hands-on projects, students will learn the fundamentals of data collection, analysis, and visualisation, along with key AI concepts including machine learning, natural language processing, and computer vision. The curriculum focuses on practical understanding, utilising industry-relevant tools and real-world datasets to solve complex problems and make data-driven decisions. Ethical considerations and the societal impact of AI and data science are also addressed, equipping students with the knowledge to responsibly apply these technologies in their professional fields. By the end of the course, students will have a robust foundation in AI and Data Science, preparing them for advanced study and roles in these rapidly evolving disciplines.
COMING SOON
DETAILS
PRICE
DELIVERY MODE
Participant: Secondary School Student
Hour per session: 1.5 hours
Number of weeks: 8 weeks
Total Hours: 12 hours
Normal Price
AUD
330
  • Location:
    • Cranbourne, Clyde North, Narre Warren, Lynbrook
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 5:30pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
  • Required Equipment
    • Please bring your own laptop or notebook and ensure that the camera, microphone, and speaker are working properly.
  • Location:
    • Online using Zoom
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 4pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
COURSE 2

Python Programming

This course introduces tertiary education students to Python, a versatile and powerful programming language widely used across various industries. Students will learn the fundamentals of Python, including installation, running scripts, and working with Jupyter Notebook. The course covers core programming concepts such as variables, data structures, loops, conditional statements, and file input/output operations. Additionally, students will explore Python libraries, focusing on pandas for data manipulation and analysis. The course includes real-world applications and use cases across diverse fields such as healthcare, engineering, agriculture, business, art, public health, environmental sciences, etc. Through engaging lessons and hands-on projects, students will develop practical coding skills and be equipped to tackle advanced programming challenges in their respective fields.
COMING SOON
DETAILS
PRICE
DELIVERY MODE
Participant: Secondary School Student
Hour per session: 1.5 hours
Number of weeks: 10 weeks
Total Hours: 15 hours
Normal Price
AUD
330
  • Location:
    • Cranbourne, Clyde North, Narre Warren, Lynbrook
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 5:30pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
  • Required Equipment
    • Please bring your own laptop or notebook and ensure that the camera, microphone, and speaker are working properly.
  • Location:
    • Online using Zoom
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 4pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
COURSE 3

Exploratory Data Analysis and Visualisation

This course provides tertiary education students with a comprehensive introduction to Exploratory Data Analysis (EDA) and data visualisation, emphasising applications across fields such as healthcare, engineering, agriculture, business, art, environment, public health, etc. Students will begin with an overview of data and EDA principles, then progress to data manipulation and analysis using the pandas library. They will explore data through descriptive statistics and learn to visualise data effectively using Matplotlib, focusing on uncovering insights through a variety of visualisation techniques. The course emphasises practical skills, equipping students to analyse and interpret data in their specific fields. Through hands-on projects, students will develop expertise in data manipulation, statistical analysis, and data visualisation, preparing them for advanced data analysis and AI applications relevant to their areas of study.
COMING SOON
DETAILS
PRICE
DELIVERY MODE
Participant: Tertiary Education Student & Adult
Hour per session: 1.5 hours
Number of weeks: 8 weeks
Total Hours: 12 hours
Normal Price
AUD
330
  • Location:
    • Cranbourne, Clyde North, Narre Warren, Lynbrook
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 5:30pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
  • Required Equipment
    • Please bring your own laptop or notebook and ensure that the camera, microphone, and speaker are working properly.
  • Location:
    • Online using Zoom
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 4pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
COURSE 4

Machine Learning

This course provides tertiary education students with a comprehensive introduction to Machine Learning (ML) within the broader context of AI and Data Science. Students will explore fundamental ML concepts, including supervised learning techniques like classification and prediction, unsupervised learning methods, and reinforcement learning principles. The course highlights practical applications of ML, offering students hands-on experience in addressing real-world challenges across various fields such as healthcare, engineering, agriculture, business, art, environment, public health, etc. By the end of the course, students will possess a strong understanding of ML techniques and their applications, equipping them to apply these skills in their fields of study.
COMING SOON
DETAILS
PRICE
DELIVERY MODE
Participant: Tertiary Education Student & Adult
Hour per session: 1.5 hours
Number of weeks: 8 weeks
Total Hours: 12 hours
Normal Price
AUD
330
  • Location:
    • Cranbourne, Clyde North, Narre Warren, Lynbrook
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 5:30pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
  • Required Equipment
    • Please bring your own laptop or notebook and ensure that the camera, microphone, and speaker are working properly.
  • Location:
    • Online using Zoom
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 4pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
COURSE 5

Deep Learning

This course introduces tertiary education students to the essentials of Deep Learning (DL) within the framework of AI and Data Science. Students will begin by learning the fundamentals of DL and neural networks, progressing to the use of Python tools and libraries for deep learning, including TensorFlow. The curriculum covers practical applications such as classification with deep learning and extends to real-world use cases like image classification, object detection, and text processing. Emphasizing diverse fields such as healthcare, engineering, agriculture, business, art, environment, public health, etc., the course provides hands-on projects and exercises that enable students to develop and apply deep learning models to a variety of data challenges relevant to their fields of study.
COMING SOON
DETAILS
PRICE
DELIVERY MODE
Participant: Tertiary Education Student & Adult
Hour per session: 1.5 hours
Number of weeks: 8 weeks
Total Hours: 12 hours
Normal Price
AUD
330
  • Location:
    • Cranbourne, Clyde North, Narre Warren, Lynbrook
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 5:30pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
  • Required Equipment
    • Please bring your own laptop or notebook and ensure that the camera, microphone, and speaker are working properly.
  • Location:
    • Online using Zoom
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 4pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
COURSE 6

Big Data Analytics

This course introduces tertiary education students to the fundamentals of Big Data Analytics (BDA) within the context of Data Science, with applications across diverse fields such as healthcare, engineering, agriculture, business, art, environment, public health, etc. Students will begin with an overview of BDA and its importance in managing and analysing large datasets. The course covers various types of data analytics, including descriptive, diagnostic, predictive, and prescriptive analytics, tailored to address complex challenges in their fields of study. Students will learn to process big data using PySpark, a robust tool for large-scale data processing, and explore MongoDB and PyMongo for working with NoSQL databases. Through practical exercises and projects, students will develop the skills necessary to effectively analyse, interpret, and leverage big data, preparing them for advanced data science applications and roles in their respective industries.
COMING SOON
DETAILS
PRICE
DELIVERY MODE
Participant: Tertiary Education Student & Adult
Hour per session: 1.5 hours
Number of weeks: 8 weeks
Total Hours: 12 hours
Normal Price
AUD
330
  • Location:
    • Cranbourne, Clyde North, Narre Warren, Lynbrook
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 5:30pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
  • Required Equipment
    • Please bring your own laptop or notebook and ensure that the camera, microphone, and speaker are working properly.
  • Location:
    • Online using Zoom
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 4pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
COURSE 7

Data Science Project (Capstone + Deployment)

This capstone course provides tertiary education students with the opportunity to apply their data science knowledge to real-world projects in specialised areas such as healthcare, engineering, agriculture, business, art, and the environment. Students will undertake comprehensive projects, encompassing the entire data science lifecycle from data collection and analysis to model development and deployment. The course emphasises practical experience, with students deploying their models using tools like Streamlit to create interactive web applications. Through this capstone experience, students will refine their problem-solving, project management, and technical skills, preparing them for professional careers in their chosen specialisations.
COMING SOON
DETAILS
PRICE
DELIVERY MODE
Participant: Tertiary Education Student & Adult
Hour per session: 1.5 hours
Number of weeks: 8 weeks
Total Hours: 12 hours
Normal Price
AUD
330
  • Location:
    • Cranbourne, Clyde North, Narre Warren, Lynbrook
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 5:30pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
  • Required Equipment
    • Please bring your own laptop or notebook and ensure that the camera, microphone, and speaker are working properly.
  • Location:
    • Online using Zoom
  • After School
    • Between 4pm – 7:30pm (Monday – Friday)
  • Weekend
    • Between 10am – 4pm (Saturday and Sunday)
  • Maximum number of participants per class:
    • 10 participants
IDEA-AI offers cutting-edge AI and Data Science training for learners of all ages and backgrounds. Our programs are designed to equip you with the skills needed to thrive in the technology-driven world of today and tomorrow.
Operating Hours
Monday to Friday: 10:00 AM – 5:00 PM
Closed on Saturday & Sunday
CONTACT US

 Institute for Data Innovation and
 Artificial Intelligence 

ABN: 86 110 134 339
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