The training provides a sound understanding of artificial intelligence, how it works, and its opportunities and risks. Participants learn how to use AI responsibly, take ethical considerations into account and identify use cases within their own working environment.
Key topics:
- Basic concepts and technologies of AI (ML, NLP, computer vision)
- Historical development and practical examples from business, education and healthcare
- How AI models work: data, training, validation, testing
- The importance of data quality, diversity and transparency
- Ethical and social issues: bias, fairness, data protection
- Legal frameworks and responsibilities
- Practical use cases and tools in the workplace
- Best practices for using AI in everyday life and in business processes
- The future of AI and the skills required for an AI-driven world of work
The AI Awareness training course provides a practical overview of the fundamental concepts and applications of artificial intelligence (AI). The aim of the course is to raise participants’ awareness of the potential and challenges of AI and to equip them with the ability to use AI technologies responsibly and thoughtfully in their professional environment.
Target audience
The training is aimed at staff from all departments who wish to develop a basic understanding of artificial intelligence and adopt a responsible approach to the technology.
It is suitable for staff with no prior technical knowledge, but also for specialists who wish to expand their knowledge.
Overview
- Raising awareness of the ethical, social and legal implications of AI
- Understanding the fundamentals of artificial intelligence and how it works
- Encouraging critical discussion about the use of AI in various sectors
- Sharing best practices for using AI technologies in day-to-day work
An Introduction to Artificial Intelligence
- What is artificial intelligence? An overview of various AI technologies (e.g. machine learning, natural language processing, computer vision)
- The history of AI and its development to date
- Examples of applications in various sectors (e.g. healthcare, business, education)
How AI systems work
- How do machines learn? An insight into fundamental algorithms and models
- Data as the foundation of AI: the importance of data quality and diversity
- The role of training, validation and testing in AI models
Ethical and social issues
- Bias and discrimination in AI: risks and challenges
- Data protection and privacy: how is personal data used in AI models?
- The responsibilities of developers and users when working with AI
Legal aspects and regulation
- Overview of the current legal framework (e.g. data protection laws, AI legislation)
- Liability and accountability in the event of AI malfunctions or misuse
Practical applications and uses of AI
- Case studies from various sectors: How is AI already being used today?
- Which tools and technologies are relevant to your own field of work?
- Best practices for integrating AI into business processes and workflows
Participants will learn the basics of big data and gain a practical overview of the key technologies and methods. They will understand how large volumes of data can be collected, processed and analysed, and will be introduced to the main challenges and opportunities.
Target audience
This training course is aimed at anyone wishing to develop a basic understanding of big data and the associated technologies, as well as – depending on the level of detail – specialists in the fields of data analysis, IT and business intelligence.
Overview
- Fundamentals of Big Data
- A practical overview of technologies and methods
- Understanding the collection, processing and analysis of large volumes of data
- An introduction to the challenges and opportunities of Big Data
An Introduction to Big Data
- What is Big Data?
- The ‘4 Vs’ of Big Data: Volume, Velocity, Variety, Veracity
- Differences compared to traditional data systems and databases
- Areas of application and potential of Big Data in various sectors
Key technologies and tools
- An overview of big data infrastructures: Hadoop, Spark, NoSQL databases
- Data processing: batch vs. streaming
- Data warehousing and data integration in a big data environment
Data management and processing
- Data collection: Data acquisition methods (ETL processes, web scraping, APIs)
- Data preparation and cleansing
- Processing large volumes of data: MapReduce, distributed computing
Analysis and visualisation of big data
- Introduction to Big Data Analytics: descriptive, diagnostic, predictive, prescriptive
- Analytical tools and techniques: machine learning, data mining
- Big data visualisation: dashboard design and interactive visualisations using tools such as Tableau and Power BI
The challenges of big data
- Data quality and security: data protection and compliance (e.g. GDPR)
- Scalability and performance in big data environments
- Real-time processing and low-latency requirements
KERN’s business seminars offer you:
Certified trainers
Business training: The seminars are led by certified trainers with expertise and cross-sector know-how.
Rapid learning progress
Knowledge presented in an accessible way: We provide you with strategies and tips that you can put into practice straight away and quickly make your own.
Practical relevance
No dry theory: the training is based on real-life situations, and we’re happy to address your specific examples to provide personalised support!
Lots of fun
Talking, interacting, laughing: the positive atmosphere is created by working together creatively, which will quickly boost their self-confidence!
What is meant by ‘AI awareness’ in a business context?
AI awareness refers to a basic understanding of artificial intelligence, its capabilities and its limitations in a workplace context. Employees learn how AI technologies work, where they can be used effectively, and what risks or legal considerations need to be taken into account. AI awareness training helps organisations build a shared knowledge base and promote the responsible use of AI in day-to-day working life.
Why is AI awareness so important for businesses today?
Artificial intelligence is transforming work processes, decision-making structures and business models across many sectors. Companies therefore need staff who understand the opportunities, risks and potential applications of AI. AI Awareness provides guidance, reduces uncertainty and helps organisations to successfully implement AI projects.
Who is AI awareness training suitable for?
AI awareness training is suitable for specialists, managers and entire teams who wish to build up a basic understanding of AI. It is particularly relevant for staff who will be working with AI tools in the future or making strategic decisions regarding the use of AI.
What topics are covered in an AI awareness training course?
Typical topics covered in AI awareness training include:
- The fundamentals of artificial intelligence and machine learning
- Examples of AI applications in a business context
- The opportunities and risks associated with AI systems
- Data protection, ethics and regulatory considerations
- Best practices for the responsible use of AI
The aim is to enable staff to better understand AI technologies and integrate them effectively into their work.
What are the benefits of AI awareness training for businesses?
AI awareness training helps organisations to
- strengthen their employees’ digital skills
- overcome reservations about AI
- identify opportunities for innovation
- make informed decisions about AI projects
- establish a common framework for working with AI
This makes it much easier to adopt AI-based work processes.
What role does AI awareness play in digital transformation?
AI awareness is a key component of digital transformation. Without a basic understanding of AI, organisations cannot fully harness its potential. Structured training creates the conditions for staff to embrace new technologies and actively contribute to the company’s digital development.
How does AI awareness differ from technical AI training?
AI Awareness is not just aimed at IT experts. Whilst technical AI training courses focus on programming or data analysis, AI Awareness concentrates on strategic understanding, potential applications and the responsible use of AI in day-to-day working life.
How can AI awareness be built up sustainably within a company?
Sustainable AI awareness is fostered through a combination of training, practical examples and ongoing professional development. Organisations benefit particularly from training programmes that incorporate real-life use cases from their own working environment and provide opportunities for discussion and the exchange of experiences.
What challenges are involved in using AI within a business?
Among the most common challenges are a lack of knowledge about AI, uncertainty about how to use new technologies, and questions regarding data protection and ethical guidelines. Structured AI awareness training helps to shed light on these issues and prepare staff for change.
How does AI awareness training support collaboration with AI tools?
Employees learn to assess AI tools realistically and use them efficiently. They understand when AI can deliver results and when human expertise is required. This improves collaboration between people and technology in day-to-day work.
Contact & Advice
KERN Training runs business seminars online and at a wide range of venues across Germany. We’d be happy to deliver the training at your premises too.
Give us a call or fill in the contact form below for a free consultation!
We're happy to help
We are there for you Monday to Friday from 8:00 a.m. to 6:00 p.m.
Tel.: (069) 75 60 73-90
Email: info@kerntraining.com