AI+ Data™ Self-Paced Online Course & Examination
Instructor-led
The AI+ Data certification equips professionals with vital skills for data science. It covers key concepts like Data Science Foundations, Statistics, Programming, and Data Wrangling. Participants delve into advanced topics such as Generative AI and Machine Learning, preparing them for complex data challenges.
Purchase our self-paced online course, or Request a Quote for your team.
Course Overview
The program includes a hands-on capstone project focusing on Employee Attrition Prediction. Emphasis is placed on Data-Driven Decision-Making and Data Storytelling for actionable insights. Personalised mentorship, immersive projects, and cutting-edge resources ensure a transformative learning journey, preparing individuals for success in AI and data science.
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Core Concepts Covered: Data Science foundations, Python, Statistics, and Data Wrangling
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Advanced Topics: Dive into Generative AI, Machine Learning, and Predictive Analytics
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Capstone Application: Solve real-world problems like employee attrition with AI
- Career Readiness: Develop skills for AI-driven data science roles with hands-on mentorship.
Why AI+ Data
- Demand for Certified Experts: Organisations seek certified experts who can transform complex data into actionable insights while ensuring data integrity and privacy.
- Mitigating Data and AI Risks: Poor handling of data and AI technologies can lead to inaccurate analysis and business risks. This certification helps professionals mitigate such challenges.
- Designing AI-Driven Data Strategies: Certified professionals play a crucial role in designing AI-driven data strategies that optimise performance and align with regulatory standards.
- Career Advancement: As AI-powered data solutions become essential for businesses, this certification provides professionals with a competitive edge in advancing their careers.
Course Modules
Module 1: Foundations of Data Science
- 1.1 Introduction to Data Science
- 1.2 Data Science Life Cycle
- 1.3 Applications of Data Science
Module 2: Foundations of Statistics
- 2.1 Basic Concepts of Statistics
- 2.2 Probability Theory
- 2.3 Statistical Inference
Module 3: Data Sources and Types
- 3.1 Types of Data
- 3.2 Data Sources
- 3.3 Data Storage Technologies
Module 4: Programming Skills for Data Science
- 4.1 Introduction to Python for Data Science
- 4.2 Introduction to R for Data Science
Module 5: Data Wrangling and Preprocessing
- 5.1 Data Imputation Techniques
- 5.2 Handling Outliers and Data Transformation
Module 6: Exploratory Data Analysis (EDA)
- 6.1 Introduction to EDA
- 6.2 Data Visualisation
Module 7: Generative AI Tools for Deriving Insights
- 7.1 Introduction to Generative AI Tools
- 7.2 Applications of Generative AI
Module 8: Machine Learning Refresher
- 8.1 Introduction to Supervised Learning Algorithms
- 8.2 Introduction to Unsupervised Learning
- 8.3 Different Algorithms for Clustering
- 8.4 Association Rule Learning
Module 9: Advance Machine Learning
- 9.1 Ensemble Learning Techniques
- 9.2 Dimensionality Reduction
- 9.3 Advanced Optimization Techniques
Module 10: Data-Driven Decision-Making
- 10.1 Introduction to Data-Driven Decision Making
- 10.2 Open Source Tools for Data-Driven Decision Making
- 10.3 Deriving Data-Driven Insights from Sales Dataset
Module 11: Data Storytelling
- 11.1 Understanding the Power of Data Storytelling
- 11.2 Identifying Use Cases and Business Relevance
- 11.3 Crafting Compelling Narratives
- 11.4 Visualising Data for Impact
Module 12: Capstone Project - Employee Attrition Prediction
- 12.1 Project Introduction and Problem Statement
- 12.2 Data Collection and Preparation
- 12.3 Data Analysis and Modeling
- 12.4 Data Storytelling and Presentation
Learning Outcomes
- Data Visualization Techniques.
- Data Quality and Bias Mitigation.
- Deep Learning for Data Processing.
- Statistical Modeling.
- Big Data Technologies.
AI Tools
You will master the following AI tools in our AI+ Data course
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Who Should Attend
- Data Analysts & Scientists: Enhance data analysis capabilities using AI for predictive modeling and decision-making.
- Business Intelligence Professionals: Leverage AI to uncover insights, trends, and opportunities in complex data sets.
- IT Specialists & System Integrators: Implement AI-powered solutions to optimize data management and infrastructure.
- Data Engineers: Design and develop AI-driven data pipelines and architectures for scalable solutions.
- Students & New Graduates: Build valuable AI and data science skills to thrive in an increasingly data-driven world.
Delivery options
AI+ Data is available as a self-paced online course or instructor-led.
Instructor-led: Held over 5 days, it is an intensive week of training which includes live demos, hands-on labs, real-time Q&A and peer collaboration. This course can be delivered onsite at your premises or in our virtual classroom. Request a quote for your team
Self-Paced online: 40-hours of on-demand video lessons, e-book and podcasts. Access to your own online learning portal for 12-months to work through and certify. Learn anywhere, anytime, with modular quizzes to track progress.
Pre-requisites
Basic knowledge of computer science and statistics, data analysis, fundamental AI/ML concepts, Python and R.
Exam & Certification
This course prepares participants for the examination leading to AI+ Data certification. The exam is held online via a proctored exam platform.
- Duration: 90 minutes
- Questions: 50 multiple-choice/multiple-response
- Passing mark: 70% (35 questions correct out of 50 questions)
- Delivery: completed online via your AI Certs learning portal
- A digital certification will be provided upon passing
Exam Blueprint:
- Foundations of Data Science – 5%
- Foundations of Statistics – 5%
- Data Sources and Types – 6%
- Programming Skills for Data Science – 10%
- Data Wrangling and Preprocessing – 10%
- Exploratory Data Analysis – 12%
- Generative AI Tools for Deriving Insights – 6%
- Machine Learning – 10%
- Advance Machine Learning – 10%
- Data-Driven Decision-Making – 10%
- Data Storytelling – 6%
- Capstone Project - Employee Attrition Prediction – 10%
Course Materials & Inclusions
One-year subscription to the AI+ course materials, these are regularly updated to ensure the latest developments are included in your courseware. This includes:
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalised Guidance
- Quizzes, Assessments, and Course Resources
- Comprehensive Exam Study Guide
- Official AI+ Certification Online Proctored Exam
- One Free Exam Retake
You will receive a digital certification upon passing the online examination.
Recent customers
An amazing instructor who explained the content very clearly and at a very good pace. This was a good balance and approach. I found the worked examples very practical and very relatable to the Defence industry sector I work in.
Really good facilitation, kept me interested and shared so many practical applications.
Gave me a better understanding of concepts, theories and tools to formalise and improve my current relationship management.
The instructor was very professional and was able to explain each area thoroughly and is available for Q&A.
Learnt a lot that we can implement or improve on in our organisation. The presenter was clear, precise and could relate difficult concepts into language and scenarios we could relate to. Everyone came away from the course feeling that had learnt something valuable.
Catholic Education, Brisbane
The examples provided by the instructor as we were covering of material, made everything make sense. This helped during the exam. Pat was fantastic and engaging. Kept everyone on their toes and ensured he took the time to explain anything we were not clear on.
BAI Communications
The instructor was great and very interactive. He made sure we understood the material and gave ample opportunity for us to ask questions. He provided great examples which tied everything in.
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