Predictive AI Training in Sud-Vest

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

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

• Grasp the core principles of predictive AI and generative models.
• Leverage AI-powered tools for predictive coding, forecasting, and automation.
• Deploy Large Language Models (LLMs) and transformers for generating text and code.
• Apply time-series forecasting and AI-driven recommendation systems.
• Develop and fine-tune AI models for practical, real-world use cases.
• Assess ethical implications and adhere to best practices in AI deployment.

This guided, live training in Sud-Vest (online or on-site) is designed for beginner-level IT professionals seeking to understand the fundamentals of predictive AI.

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

• Grasp the fundamental concepts of predictive AI and its practical uses.
• Gather, clean, and prepare data for predictive analysis.
• Investigate and visualize data to discover key insights.
• Construct simple statistical models to generate predictions.
• Assess the effectiveness of predictive models.
• Implement predictive AI concepts in real-world situations.

This instructor-led, live training in Sud-Vest (online or onsite) is aimed at intermediate-level DevOps professionals who wish to integrate predictive AI into their DevOps practices.

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

• Implement predictive analytics models to forecast and solve challenges in 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 optimization.
• Navigate the ethical considerations of using AI in DevOps.