AI+ Developer™

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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Modern development is growing rapidly alongside AI, automation, and smart toolchains. This course opens your eyes to contemporary methods, agile innovation, and a practical combination of software development and intelligent technology.

Key topics

AI-supported development processes and automated workflows.
Prompt-based generation of code and tests.
Model integration into existing architectures.
AI-supported debugging and quality optimization.
Trends toward generative development environments and AI agents.

Prerequisite
Basic understanding of modern software development and interest in AI-supported methods.

Target audience
Individuals from development, IT, architecture, or technology management who want to productively integrate current AI trends.

A future-oriented learning environment strengthens technical excellence, expands digital skills, and creates a solid basis for innovative AI-supported solutions.

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course content

Introduction to Artificial Intelligence

Types of artificial intelligence
Branches of artificial intelligence
Applications and use cases in business

Mathematical concepts for AI

Linear Algebra
Calculus
Probability and Statistics
Discrete Mathematics

Python for Developers

Python Basics
Python libraries

Mastering machine learning

Introduction to machine learning
Algorithms for supervised machine learning
Algorithms for unsupervised machine learning
Model evaluation and selection

Deep learning

Neural networks
Improving model performance
Practical application: Evaluating and optimizing AI models

Image processing

Fundamentals of image processing
Object recognition
Image segmentation
Generative adversarial networks (GANs)

Natural language processing

Text preprocessing and representation
Text classification
Named entity recognition (NER)
Question answering (QA)

Reinforcing learning

Introduction to Reinforcement Learning
Q-learning and deep Q-networks (DQNs)
Policy Gradient Methods

Cloud computing in AI development

Cloud computing for AI
Cloud-based services for machine learning

Large language models

Understanding LLMs
Text generation and translation
Question answering and knowledge extraction

AI research at the highest level

Neuro-symbolic AI
Explainable AI (XAI)
Federated learning
Meta-learning and few-shot learning

AI communication and documentation

Communication of AI projects
Documentation of AI systems
Ethical considerations

Optional module: AI agents for developers

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 exactly is taught in AI+ Developer™?

Practical AI skills are taught: modeling, machine learning, data analysis, AI APIs, deployment workflows, Python coding, and modern frameworks such as TensorFlow and PyTorch.

What prior knowledge is required for AI+ Developer™?

Basic knowledge of programming and data understanding is sufficient. The structure is practical and beginner-friendly—ideal for getting started with professional AI projects.

What development tools are used in the AI+ Developer™ course?

The course utilizes practical developer tools such as Python, GitHub Copilot, Lobe, H2O.ai, and Snorkel for AI programming, machine learning models, and practical projects.

What jobs can be achieved with AI+ Developer™?

Possible roles include AI developer, ML engineer, data specialist, AI product engineer, or AI technology consultant—in companies across all industries.

How does AI+ Developer™ help with a career change to AI?

The structure is designed to gradually combine technical fundamentals, coding expertise, and core AI skills—perfect for career changers.

How does AI+ Developer™ support you when working with large amounts of data?

It shows how data is analyzed, cleaned, visualized, and prepared for machine learning models—including how to handle complex data sets.

What role does machine learning play in AI+ Developer™?

Central role: Supervised and unsupervised learning, training data, model optimization, evaluation, and application are systematically developed.

Is AI+ Developer™ internationally recognized?

Yes, the certificate is recognized globally. It documents practical AI expertise and promotes international career paths in the tech industry.

Do you have any further questions? Please contact us.

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0800 258 258 055

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