Artificial Intelligence and Machine Learning Courses

AI+ Data

Length 5 days
Price NZD 4350 exc GST
Inclusions Online Exam

Course overview

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Why study this course

The AI+ Data course equips professionals with vital skills for data science. It covers key concepts like Data Science Foundations, Statistics, Programming, and Data Wrangling. Participants delve into topics such as Generative AI and Machine Learning, preparing them for foundational data challenges. 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.

Exam and certification

This course prepares students for the corresponding certification. The exam/assessment is completed online and provided as part of the course content.

The exam is:

90 minutes
50 multiple choice / multiple response questions
Pass mark is 35 out of 50 (i.e. 70%)
Online via AI Proctoring platform

This course offers a combination of online labs, projects, and case studies.

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What you’ll learn

This course is designed to teach participants how to:

Manage, preprocess, and analyse data using statistical methods and exploratory techniques to uncover insights and patterns.
Develop strong programming skills necessary for data science, along with foundational and advanced machine learning techniques to build predictive models.
Employ generative AI tools and machine learning algorithms to derive deeper insights from data, enhancing their analytical capabilities.
Make informed decisions based on data analysis and effectively communicate findings through compelling data storytelling.

AI CERTs at Lumify Work

AI CERTs™ stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is an Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.

View all AI CERTs at Lumify Work courses

Who is the course for?

This course is intended for:

Data Analysts and Scientists
Business Analysts and Managers
IT Professionals and Software Developers
Academics and Researchers
Entrepreneurs and Startup Founders

Course subjects

Module 1: Foundations of Data Science

Introduction to Data Science
Data Science Life Cycle
Applications of Data Science

Module 2: Foundations of Statistics

Basic Concepts of Statistics
Probability Theory
Statistical Inference

Module 3: Data Sources and Types

Types of Data
Data Sources
Data Storage Technologies

Module 4: Programming Skills for Data Science

Introduction to Python for Data Science
Introduction to R for Data Science

Module 5: Data Wrangling and Preprocessing

Data Imputation Techniques
Handling Outliers and Data Transformation

Module 6: Exploratory Data Analysis (EDA)

Introduction to EDA
Data Visualisation

Module 7: Generative AI Tools for Deriving Insights

Introduction to Generative AI Tools
Applications of Generative AI

Module 8: Machine Learning

Introduction to Supervised Learning Algorithms
Introduction to Unsupervised Learning
Different Algorithms for Clustering
Association Rule Learning with Implementation

Module 9: Advanced Machine Learning

Ensemble Learning Techniques
Dimensionality Reduction
Advanced Optimisation Techniques

Module 10: Data-Driven Decision-Making

Introduction to Data-Driven Decision Making
Open Source Tools for Data-Driven Decision Making
Deriving Data-Driven Insights from Sales Dataset

Module 11: Data Storytelling

Understanding the Power of Data Storytelling
Identifying Use Cases and Business Relevance
Crafting Compelling Narratives
Visualising Data for Impact

Module 12: Capstone Project - Employee Attrition Prediction

Project Introduction and Problem Statement
Data Collection and Preparation
Data Analysis and Modeling
Data Storytelling and Presentation

Prerequisites

Basic knowledge of computer science and statistics (beneficial but not mandatory)
Keen interest in data analysis
Willingness to learn programming languages such as Python and R

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.