Online or onsite, instructor-led live Predictive Analytics training courses demonstrate through hands-on practice how to use different tools to build predictive models and apply them to large sample data sets to predict future events based on the data.
Predictive Analytics training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Predictive Analytics training can be carried out locally on customer premises in Lyon or in NobleProg corporate training centers in Lyon.
NobleProg -- Your Local Training Provider
Lyon, Swisslife Tower
NobleProg Lyon, 10 Place Charles Béraudier, Lyon, france, 69000
Located 200 meters far from the train station TGV, Swisslife Tower is today the most representative building of this quarter of Lyon. The Business Center offers you a perfect location for your training.
Gares TGV
100meters from Gare TGV Part-Dieu , porte du Rhône Exit
Aéroport
30 minutes from Lyon Saint Exupéry (Satolas)
Rhône Express from Saint Exupéry airport (Terminus Gare part-Dieu)
This instructor-led, live training in Lyon (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 guided, live training in Lyon (online or on-site) is designed for intermediate data professionals seeking to apply machine learning techniques to business issues, including sales forecasting and predictive modeling with neural networks.
By the end of this program, 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 modeling tasks.
Implement predictive analytics for business forecasting, including sales data.
Evaluate and optimize model performance using visual and statistical techniques.
This instructor-led, live training held in Lyon (online or onsite) is designed for beginner-level IT professionals seeking to understand the fundamentals of Predictive Artificial Intelligence.
Upon completion of this course, participants will be able to:
Comprehend the core principles of Predictive AI and its practical applications.
Collect, clean, and preprocess data suitable for predictive analysis.
Explore and visualize data to reveal hidden insights.
Construct fundamental statistical models to generate predictions.
Assess the performance of predictive models.
Apply Predictive AI concepts to real-world business scenarios.
This instructor-led, live training in Lyon (online or onsite) is designed for 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 address challenges within the DevOps pipeline.
Leverage AI-driven tools to improve monitoring and operational capabilities.
Apply machine learning techniques to enhance software delivery workflows.
Design AI strategies for proactive issue resolution and optimization.
Navigate the ethical considerations associated with using AI in DevOps.
In this instructor-led live training in Lyon, participants will learn the mindset needed to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies to identify criminal activity and prevent crime. Case studies from law enforcement organizations around the world will be examined to provide insights into their adoption approaches, challenges, and results.
By the end of this training, participants will be able to:
Integrate Big Data technology with traditional data gathering processes to reconstruct events during an investigation.
Implement industrial big data storage and processing solutions for data analysis.
Prepare a proposal for adopting the most suitable 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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