AI+ Robotics™

Price
Net: 1.985,00 €
VAT.: 377,15 €

Duration
5 days

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
WalkIn^®

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Artificial intelligence and robotics are increasingly converging and shaping modern value chains. Automated systems are becoming more flexible, adaptive, and strategically relevant. The focus is on current developments, technological interrelationships, and a clear view of the professional use of intelligent machines.

Key topics

Interaction between AI and robotics.
Autonomous systems and intelligent control.
Sensors, data processing, and machine perception.
Adaptive robotics in industry and services.
Safety, responsibility, and regulation.

Prerequisite
Basic technical understanding or experience in digital work environments.

Target group
Technically oriented specialists and managers, developers, and those responsible for innovation and transformation.

A structured understanding of modern AI robotics supports informed decisions, promotes sustainable innovation, and opens up new perspectives for the use of intelligent systems in a changing economy.

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course content

Introduction to Robotics and AI

Overview of Robotics: Introduction, History, Development, and Impact
Introduction to Artificial Intelligence (AI) in Robotics
Fundamentals of Machine Learning (ML) and Deep Learning
The Role of Neural Networks in Robotics

Fundamentals of AI and Robotics

Components of AI systems and robotics
An in-depth look at sensors, actuators, and control systems
Research into machine learning algorithms in robotics

Autonomous systems and intelligent agents

Introduction to autonomous systems
Building blocks of intelligent agents
Case studies: Autonomous vehicles and industrial robots
Important platforms for development: ROS (Robot Operating System)

Development frameworks for AI and robotics

Python for Robotics and Machine Learning
TensorFlow and PyTorch for AI in Robotics
Introduction to other important frameworks

Deep learning algorithms in robotics

Understanding deep learning: Neural networks, CNNs
Robotic image processing systems: Object recognition, identification
Practical exercise: Training a CNN for object recognition
Use case: Precision manufacturing with robotic image processing

Reinforcing learning in robotics

Fundamentals of reinforcement learning (RL)
Implementation of RL algorithms for robotics
Practical exercise: Development of RL models for robots
Use case: Optimization of warehouse processes with RL

Generative AI for robotic creativity

Discover generative AI: GANs and applications
Creative robots: Design, creation, and innovation
Practical exercise: Generating novel designs for robotics
Use case: Customized manufacturing with AI

Natural language processing (NLP) for human-robot interaction

Introduction to NLP for Robotics
Voice-controlled control systems
Practical exercise: Creating a voice command robot interface
Case study: Assistance robots in healthcare

Practical activities and use cases

Practical exercise 1: Creating AI models for object recognition with Python programming
Practical exercise 2: Path planning, obstacle avoidance, and localization with Python programming
Practical exercise 3: Implementing a PID controller with Python programming
Use cases: Precision farming, automated production lines

New technologies and innovations in robotics

Integration of blockchain and robotics
Quantum computing and its potential

Discover AI with robot-assisted process automation

Understanding robot-assisted process automation and use cases
Popular RPA tools and their features
Integrating AI into RPA

AI ethics, security, and policy

Ethical considerations regarding AI and robotics
Safety standards for AI-controlled robotics
Discussion: Dealing with AI guidelines and regulations

Innovations and future trends in AI and robotics

Latest innovations in robotics and AI
The future of work and society: the impact of AI and robotics

Optional module: AI agents for robotics

What are AI agents?
Important capabilities of AI agents in robotics
Applications and trends for AI agents in robotics
How does an AI agent work?
Key features of AI agents
The future of AI agents in robotics
Types of AI agents

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What is AI+ Robotics™?

AI+ Robotics™ combines artificial intelligence with robotics to develop and control intelligent, autonomous systems—practical and future-oriented.

What are the advantages of AI+ Robotics™?

Provides practical knowledge, modern tools, globally recognized certification, and promotes future-relevant skills for your profession and career.

What careers does AI+ Robotics™ support?

Opens doors to roles in AI-supported robotics, process automation, mechanical engineering, Industry 4.0, research, and development.

What tools are used in AI+ Robotics™?

Modern tools and platforms such as Python, TensorFlow, ROS (Robot Operating System), simulation software, and AI-supported development environments are used—in a practical and industry-oriented manner.

What skills are taught?

Topics covered include machine learning, AI applications in robotics, ethics, automation, sensor data processing, and system integration.

Will a certificate be issued?

Upon successful completion, an internationally recognized certification from AI Certs™ will be awarded—digitally and verifiable.

Why is AI+ Robotics™ relevant for the future?

Robotics and AI are converging – AI+ Robotics™ provides targeted preparation for digital transformation and intelligent automation.

Is AI+ Robotics™ also useful for businesses?

Yes, ideal for training teams in production, IT, R&D, or automation—for innovation and competitive advantages in the digital transformation.

Do you have any further questions? Please contact us.

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