Cloud-Based Automation & Robotics - AWS & Python (m/f/d)

Course overview

The specialist in Cloud-Based Automation & Robotics - AWS & Python develops and implements automated processes within the AWS environment. They program applications for robotic systems using Python, configure cloud resources, and create algorithms for intelligent robotics solutions. The specialist monitors cloud-based infrastructures, analyzes performance data, and optimizes existing automation solutions. They work at the interface between cloud computing and robotics, integrating sensor data into AWS services and developing scalable applications. The specialist considers security aspects and documents system architectures. Robotics & Autonomous Systems in Industry 5.0 • Understanding robots, analyzing industrial applications - Recognizing autonomous systems in production • Industrial robots & cobots in application - Practical programming & real-time sensor technology • Driverless transport systems & drone solutions - Mobile robotics in logistics & industry • AI for image recognition, navigation & maintenance - Edge & 5G for connected robotic systems • Collaborative robotics safety concepts & ergonomics in practice - Integrating assistance systems in production • Applying digital twins & cyber-physical systems - Implementing secure, connected robotic production • Saving CO₂, automating resource utilization - Designing sustainable robotics processes • From quantum robotics to space technologies - Understanding the future of autonomous robotic systems Cloud Computing (AWS) - Key Competencies and Applications for Businesses • Architectural decisions & operational models in the AWS cloud - Cloud fundamentals: managing regions, responsibilities & performance • Effectively implementing compute & storage strategies in AWS - Efficiently planning & scaling network architecture • Implementing role-based access control with IAM - Actively configuring & testing security services • Planning & integrating relational & NoSQL databases - Managing data lakes & backups in productive environments • Implementing CI/CD pipelines with Terraform & GitHub - Operating containerized applications with ECS/EKS • Training & deploying ML models with SageMaker - Practically using & automating AI services • Preparing & executing migration projects - Safely operating hybrid workloads • Actively managing & optimizing cloud costs - Realizing sustainability & resource efficiency with AWS tools • Exam preparation for AWS Certified Cloud Practitioner 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 integrating loops into tasks • Utilizing functions and designing modular programs - Practically integrating error handling • Working with file formats and APIs - Professionally accessing & processing…

Upcoming dates

• 2026-08-23T22:00:00.000Z · 2026-11-12T23:00:00.000Z · München · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-11-12T23:00:00.000Z · Bautzen, Sachsen · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-11-12T23:00:00.000Z · Ludwigsburg, Württemberg · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-11-12T23:00:00.000Z · Dortmund · Combined Learning
• 2026-08-23T22:00:00.000Z · 2026-11-12T23:00:00.000Z · Heidelberg, Neckar · Combined Learning