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L'Italiano nel mondo
Introduction to HTML5
Umano Digitale
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Design end-to-end decision intelligence systems: prepare data, build predictive models, dashboards, and automated workflows with Scikit-learn, NetworkX, Streamlit, MLflow, FastAPI, Zapier, and Flowise.
Build LLM-powered applications: pre-train and fine-tune large language models, develop with LangChain, add retrieval-augmented generation over vector stores, and evaluate with perplexity and BLEU.
Learn MySQL for analytics: write queries with data types, joins and ORDER BY, apply indexing strategies, and secure databases using role-based access control.
Turn structured data into narratives in Power BI: transform and model data, write DAX measures, design interactive reports, and publish secured dashboards on Power BI Service.
Learn to code with GitHub Copilot: see how it reads context and suggests code, integrate it into development environments, and apply best practices for collaborating with AI.
Build advanced Power BI data models, scorecards and reports, applying data transformation, binary prediction models, and Power BI Service features like cognitive services and machine learning integration.
Build a data governance framework: compare governance models, draft data policies and stewardship roles, set access controls, and meet GDPR and HIPAA requirements using cloud tools.
Build generative AI skills from machine learning and NLP basics to LLM architecture, application development, and hands-on use of ChatGPT, MidJourney, and GitHub Copilot.
Analyze data with Python, SQL, and Power BI: query and manipulate datasets, visualize with Matplotlib, Seaborn, and Plotly, and build predictive models and dashboards.
Generate images with MidJourney: craft effective prompts, explore realistic, abstract, and surreal styles, and produce concept art and character designs.
Learn how generative AI is applied to cybersecurity: AI-driven threat detection, automated defense systems, intrusion detection, and secure coding practices with generative models.
Write PySpark code to process large-scale datasets: big data characteristics, Spark architecture with Spark Core and Spark SQL, distributed processing, and real-time data analysis.
Build interactive reports and dashboards in Power BI: clean data in Power Query Editor, write DAX measures, design custom visuals, and publish and collaborate through Power BI Service.
Learn to defend industrial control systems: identify malware, ransomware and denial-of-service threats, build tailored incident response plans, and apply intrusion detection tools to industrial network architectures.
Apply generative AI to fraud prevention: use LSTM and GAN models for email fraud detection projects, with ethical considerations and best practices for data handling.
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