AI+ Engineer™

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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Innovation gains momentum when technical strength and AI thinking come together. This training course creates precisely this space: clearly structured, modern in its approach, and supported by current developments in AI engineering.

Key topics

AI-supported development processes
Automation of modern software pipelines
Model architectures and scalable systems
Quality assurance with intelligent tools
Trends in machine learning and MLOps

Prerequisites
Basic understanding of software development and openness to AI technologies.

Target group
Specialists from the fields of technology, IT, and engineering who want to specifically expand their AI skills.

The digital future needs people who can think ahead in terms of technology. This training course strengthens the basis for this: structured, practical, inspiring, and tailored to a world in which AI is becoming an integral part of professional development.

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course content

Fundamentals of artificial intelligence

Introduction to AI
Core concepts and techniques of AI
Ethical considerations

Introduction to AI Architecture

Overview of AI and its various areas of application
Introduction to AI architecture
Understanding the AI development cycle
Practical exercise: Setting up a basic AI environment

Fundamentals of neural networks

Activation functions and their role
Backpropagation and optimization algorithms
Practical exercise: Building a simple neural network using a deep learning framework.

Applications of neural networks

Introduction to neural networks in image processing
Neural networks for sequential data
Practical implementation of neural networks

The importance of large language models (LLMs)

Research into large language models
Popular large language models
Practical fine-tuning of language models
Practical example: Practical fine-tuning for text classification

Application of generative AI

Introduction to generative adversarial networks (GANs)
Applications of variational autoencoders (VAEs)
Generating realistic data using generative models
Practical exercise: Implementation of generative models for image synthesis

Natural language processing

NLP in real-life scenarios
Attention mechanisms and practical application of transformers
In-depth understanding of BERT for practical NLP tasks
Practical exercise: Building practical NLP pipelines with pre-trained models.

Transfer learning with Hugging Face

Overview of transfer learning in AI
Transfer learning strategies and techniques
Practical exercise: Implementing transfer learning with Hugging Face models for various tasks.

Development of sophisticated GUIs for AI solutions

Overview of GUI-based AI applications
Web-based framework
Desktop application framework

AI communication and delivery pipeline

Effective communication of AI results to non-technical stakeholders
Establishing a deployment pipeline for AI models
Developing prototypes based on customer requirements
Practical exercises: Deployment

Optional module: AI agents for engineeringOptional module: AI agents in engineering

Understanding AI agents
Case studies
Practical exercises with 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 are the specific benefits of AI+ Engineer™?

Provides practical AI expertise—with a focus on development, model training, automation, and current tools such as TensorFlow, Hugging Face Transformers, TensorFlow Hub, and Jenkins.

What are the requirements for AI+ Engineer™?

Basic knowledge of Python, logical thinking, and an interest in data, technology, and automation—no prior knowledge of AI is necessary.

Who is AI+ Engineer™ suitable for?

Ideal for anyone with a technical background, developers, data scientists, or IT professionals who want to use AI in a targeted manner.

What sets AI+ Engineer™ apart from other AI courses?

Consistently practice-oriented, clearly structured, with genuine project relevance, a modern AI focus, and cross-industry application scenarios.

Is there a certificate for AI+ Engineer™?

Yes. Upon successful completion, a recognized certificate will be awarded—valuable for your profession, job applications, and career development.

What jobs can you do after completing AI+ Engineer™?

Possible roles include AI developer, machine learning engineer, AI consultant, prompt engineer, or technical AI analyst.

Is AI+ Engineer™ also suitable for career changers?

Yes, if you have basic technical knowledge. The structure is understandable, clearly organized, and specifically designed for application-oriented learning.

Do you have any further questions? Please contact us.

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0800 258 258 055

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