Python Course for Machine Learning and AI Fundamentals

Course overview

Course: Python Course for Machine Learning and AI Fundamentals Machine Learning and Artificial Intelligence are shaping the future of data processing. Python is the central tool for quickly developing and deploying models productively. This course provides a practical introduction to the world of ML and imparts solid AI fundamentals. Course Description Step by step, you will learn to prepare data, train models with scikit-learn, and evaluate results. You will then explore Azure ML workflows and generative AI techniques to automate projects. Numerous hands-on labs ensure a direct transfer to professional practice. The modular course is adaptable and supports both beginners and advanced learners up to their first productive ML projects. Target Audience Data and software professionals who want to implement Machine Learning with Python Career changers who wish to acquire solid AI fundamentals Course Level From beginner to advanced Agenda Module 1: Python Basics for Machine Learning Based on **Introduction to Python**. Refresh data types, functions, and control structures Virtual environments and package management with pip and conda Use Numpy arrays and Matplotlib plots for initial analyses Module 2: Data Preparation and Analysis with Pandas Based on **Python for Data Science**. Clean, transform, and aggregate Pandas DataFrames Perform feature engineering for ML models Apply data visualization for exploratory analysis Module 3: Supervised and Unsupervised Learning with scikit-learn Part of **DP-100 - Azure Data Scientist Associate**. Train classification, regression, and clustering algorithms Implement hyperparameter tuning and cross-validation Ensure model evaluation and interpretability Module 4: AI Fundamentals and Prompt Engineering Integrates **AI CERTs AI+ Prompting Fundamentals**. Understand generative AI concepts and ethics Develop effective prompt design for data and text tasks Generate automated ML reports using LLMs Module 5: MLOps and Deployment in Azure ML Expands the Azure module **DP-100** for productive workflows. Create ML pipelines and version models Implement container deployment and CI/CD integration Automate monitoring, drift detection, and retraining Similar Courses AI+ Prompt Engineer Level 2 Microsoft PL-300 - Power BI Data Analyst Associate Python for Security Analysts This module composition is an example of several possible variants. New Horizons Munich, Stuttgart, and Nuremberg have developed a certified modular system that allows for individual compositions and adjustments of the program based on professional experience and educational goals. Therefore, the duration and prices of the offerings may vary. Please contact our educational consultants for more information. The offering is aimed at individuals as well as B2B clients. The course is AZAV certified and can be funded through an education voucher or under the Qualification Opportunities Act (QCG). The course is conducted by New Horizons (Munich, Stuttgart, Nuremberg…

Upcoming dates

• 2026-08-16T22:00:00.000Z · 2026-12-11T23:00:00.000Z · Nürnberg, Mittelfranken · Combined Learning
• 2026-08-16T22:00:00.000Z · 2026-12-11T23:00:00.000Z · München · Combined Learning
• 2026-08-16T22:00:00.000Z · 2026-12-11T23:00:00.000Z · München · Combined Learning
• 2026-08-16T22:00:00.000Z · 2026-12-11T23:00:00.000Z · Würzburg · Combined Learning
• 2026-08-16T22:00:00.000Z · 2026-10-12T22:00:00.000Z · München · Combined Learning