Whether delivered online or onsite, our instructor-led Predictive Analytics courses provide hands-on experience in using various tools to construct predictive models. Participants learn to apply these models to large sample data sets to forecast future events based on existing data.
Training options include "online live training" and "onsite live training." Online sessions, also referred to as "remote live training," are conducted via an interactive remote desktop. Onsite live training can take place at your local premises in Durban or at NobleProg’s corporate training centers in Durban.
NobleProg -- Your Local Training Provider
Garden Court South Beach
Durban, South Africa
Way to get there
From Durban city centre: follow the beachfront/Marine Parade south toward South Beach.
By car/taxi: give the driver the address 73 O.R. Tambo Parade, South Beach, Durban 4001.
From King Shaka International Airport: the hotel is roughly 30 km ;from the airport.
This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level developers who wish to build AI-powered applications using predictive analytics and generative models.
By the end of this training, participants will be able to:
Understand the fundamentals of predictive AI and generative models.
Utilize AI-powered tools for predictive coding, forecasting, and automation.
Implement LLMs (Large Language Models) and transformers for text and code generation.
Apply time-series forecasting and AI-based recommendations.
Develop and fine-tune AI models for real-world applications.
Evaluate ethical considerations and best practices in AI deployment.
This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level data professionals who wish to apply machine learning techniques to data-driven business problems, including sales forecasting and predictive modelling using neural networks.
By the end of this training, participants will be able to:
Understand the core concepts and types of machine learning.
Apply key algorithms for classification, regression, clustering, and association analysis.
Perform exploratory data analysis and data preparation using Python.
Use 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 Durban, delivered either online or on-site, is tailored for beginner-level IT professionals aiming to understand the core fundamentals of Predictive AI.
By the end of this training, participants will be able to:
Grasp the core concepts of Predictive AI and its practical applications.
Collect, clean, and preprocess data for predictive analysis.
Explore and visualise data to uncover key insights.
Develop basic statistical models for making predictions.
Evaluate the performance of various predictive models.
Apply Predictive AI concepts to real-world contexts.
This instructor-led, live training in Durban (online or onsite) targets intermediate-level DevOps professionals who wish to integrate predictive AI into their DevOps practices.
Upon completion of this training, participants will be able to:
Implement predictive analytics models to forecast and resolve challenges within the DevOps pipeline.
Utilize AI-driven tools for enhanced monitoring and operations.
Apply machine learning techniques to improve software delivery workflows.
Design AI strategies for proactive issue resolution and optimisation.
Navigate the ethical considerations of using AI in DevOps.
In this instructor-led, live training in Durban, participants will develop the mindset required to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies to identify criminal activity and prevent crime. We will examine case studies from law enforcement organisations worldwide to gain insights into their adoption strategies, challenges, and results.
By the end of this training, participants will be able to:
Integrate Big Data technology with traditional data gathering processes to construct a narrative during investigations.
Implement industrial-grade Big Data storage and processing solutions for data analysis.
Prepare a proposal for the adoption of the most appropriate tools and processes to enable a data-driven approach to criminal investigation.
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Testimonials (1)
basics and loved the prepared documents and exercises
Rekha Nallam - GE Medical Systems Polska Sp. z o.o.
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