Online Predictive Analytics Training in Australia

This instructor-led live training in Australia (online or onsite) is designed for intermediate-level developers looking to build AI-powered applications using predictive analytics and generative models.

Upon completion of this training, participants will be able to:

• Grasp the fundamentals of predictive AI and generative models.
• Utilise AI-powered tools for predictive coding, forecasting, and automation.
• Implement Large Language Models (LLMs) and transformers for text and code generation.
• Apply time-series forecasting and AI-driven recommendation systems.
• Develop and fine-tune AI models for practical applications.
• Evaluate ethical considerations and adhere to best practices in AI deployment.

This instructor-led, live training in Australia (online or onsite) is designed for intermediate-level data professionals looking to apply machine learning techniques to data-driven business challenges, such as sales forecasting and predictive modelling using neural networks.

Upon completion of this training, participants will be able to:

• Grasp the fundamental concepts and types of machine learning.
• Apply essential algorithms for classification, regression, clustering, and association analysis.
• Conduct exploratory data analysis and data preparation using Python.
• Utilise neural networks for nonlinear modelling tasks.
• Implement predictive analytics for business forecasting, including sales data.
• Evaluate and optimise model performance using visual and statistical techniques.

This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level IT professionals who wish to grasp the fundamentals of Predictive AI.

By the end of this training, participants will be able to:

• Understand the core concepts of Predictive AI and its applications.
• Collect, clean, and preprocess data for predictive analysis.
• Explore and visualize data to uncover insights.
• Build basic statistical models to make predictions.
• Evaluate the performance of predictive models.
• Apply Predictive AI concepts to real-world scenarios.

This instructor-led, live training in Australia (online or onsite) is designed for intermediate-level DevOps professionals looking to integrate predictive AI into their practices.

By the end of this training, participants will be able to:

• Implement predictive analytics models to forecast and resolve challenges within the DevOps pipeline.
• Leverage AI-driven tools for improved monitoring and operational efficiency.
• Apply machine learning techniques to refine software delivery workflows.
• Develop AI strategies for proactive issue resolution and optimisation.
• Navigate the ethical considerations associated with using AI in DevOps.

In this instructor-led live training in Australia, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results.

By the end of this training, participants will be able to:

• Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation.
• Implement industrial big data storage and processing solutions for data analysis.
• Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation.

This instructor-led live training in Australia (online or onsite) is tailored for data scientists and data analysts who wish to automate, evaluate, and manage predictive models leveraging DataRobot's machine learning capabilities.

Upon completing this training, participants will be able to:

• Load datasets into DataRobot to analyse, assess, and quality-check data.
• Construct and train models to identify key variables and achieve prediction targets.
• Interpret models to generate valuable insights that inform business decisions.
• Monitor and manage models to ensure optimised prediction performance.

This instructor-led, live training (online or onsite) is designed for beginner to intermediate-level analysts, researchers, and professionals looking to utilise SPSS for data preparation, statistical analysis, and predictive modelling.