Full-Stack Developer with a Focus on Databases, Python, Big Data, and Modern Web Development (m/f/d)

Course overview

The Full-Stack Developer with a focus on databases, Python, Big Data, and modern web development designs and implements complex database systems, optimizes data structures, and develops scalable web applications. They program backend solutions using Python, create APIs, and connect data sources. Their tasks include analyzing large datasets using Big Data technologies, implementing data security concepts, and developing modern frontends with current frameworks. The developer continuously monitors system performance, resolves vulnerabilities, and integrates new technologies into existing infrastructures. They work in agile teams and regularly communicate with stakeholders. Software Development with Python - Programming Logic and Basic Concepts • Understanding data processing and hardware - Digitalization, AI & standards in the technology context • Setting up work environments & securely applying Python syntax - Structuring scripts and modules cleanly • Automating programs through logical control - Effectively incorporating loops into tasks • Utilizing functions and designing modular programs - Practically integrating error handling • Working with file formats and APIs - Professionally accessing & processing data sources • Using classes and objects in enterprise applications - Creating structured software solutions with OOP • Preparing and visualizing data understandably - Creating dashboards for business use cases • Automating classification, clustering & predictions - Reflectively using AI - Observing standards & ethics • Practical exercise Web Development & Frameworks - Modern Approaches for Dynamic Web Applications • Web app architectures & RESTful API integration • Modern UI frameworks & accessible components according to WCAG 2.2 • Backend structures & API routing with OWASP standards • Data modeling & ESG-compliant storage solutions • CI/CD pipelines & container orchestration • Performance optimization & sustainable hosting • State management & internationalization • Monitoring, security & future trends in web development Databases and SQL - Efficient Data Management and Analysis • Understanding database architectures in enterprise use - Practically categorizing data models, data types & metadata • Modeling relational models & data structures - Efficiently normalizing & designing tables • Safely applying SQL queries for analyses & reports - Purposefully using JOINs & aggregate functions • Implementing data maintenance processes with SQL - Managing transactions & data integrity in practical environments • Optimizing SQL queries & reducing query load - Professionally utilizing indexing & execution plans • Efficiently operating cloud & containerized databases - Scaling & securing distributed database solutions • BI & Data Science directly from the database - Automated analyses with AI tools & ESG dashboards • Practically implementing data protection, access control & GDPR - Sustainably designing green IT & data lifecycle Computer-Supported Big…

Upcoming dates

• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · München · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Bautzen, Sachsen · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Ludwigsburg, Württemberg · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Dortmund · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-12-10T23:00:00.000Z · Heidelberg, Neckar · Combined Learning