Introduction to Using Generative AI

Introduction to Prompt Engineering

Introduction to

Using Generative AI

Elevate AI Communication: Crafting Prompts for Precision and Power.

Gain practical skills in prompt engineering and harness the power of generative AI in your projects, learning about large language models, ChatGPT, and effective prompt crafting through hands-on exercises.

  • Next Training: 19 September 2024 (14:00 UTC+2)
  • Duration: 4 hours
  • Price: €374.95 (excl. VAT)
  • Languages: English (German available upon request)
  • Location: Online (Onsite available upon request)

Details

Unlock the potential of generative AI with our “Introduction to Using Generative AI” course. This engaging 4-hour online course is designed to provide you with a thorough understanding of how to effectively interact with AI models like ChatGPT, making it perfect for beginners and professionals looking to enhance their AI skills.

Join us to gain practical skills in prompt engineering and harness the power of AI in your projects. This course is ideal for content creators, marketers, developers, and anyone interested in the emerging field of AI.

Modules

Understanding Generative AI

Learn the basics of generative AI and its applications, setting the foundation for your understanding of advanced AI technologies.

Exploring Large Language Models (LLMs)

Explore the concept of large language models (LLMs), their capabilities, and their significance in the AI landscape.

ChatGPT and AI's Impact on Jobs

Understand ChatGPT’s functionalities, its impact on various industries, and discuss the myths and realities about AI’s role in the job market.

The Role of a Prompt Engineer

Discover the role of a prompt engineer, why it’s crucial in the world of AI, and how you can become one.

Crafting Effective Prompts

Dive deep into the art of crafting effective prompts to get the best results from AI models.

Hands-On Exercises with ChatGPT and Other LLMs

Engage in practical exercises to apply your learning, experimenting with ChatGPT and other LLMs to see prompt engineering in action.

 

Meet the trainer

Dr. Denise Vandeweijer

Denise is a distinguished alumnus of TU Munich with a background in Mechanical Engineering, later pursued a PhD in Information Systems, enriching her academic repertoire. Her professional journey boasts a decade at BMW, where she played a pivotal role in pioneering autonomous driving initiatives. After a noteworthy 3-year tenure as the Director of AI Solutions and Projects, Dr. Denise Vandeweijer transitioned into entrepreneurship. As a serial founder in the AI domain, she has consistently pushed the boundaries of what’s possible, emphasizing an “AI-first” approach. Her passion for merging engineering with artificial intelligence makes Dr. Denise Vandeweijer a key figure in the AI industry.

Get your ticket now!

Contact for inquiries

Introduction to Responsible AI

Introduction to Responsible AI

Introduction to

Responsible AI

Pioneering Responsible Innovation

in the Digital Age.

Learn to implement ethical principles in AI development and deployment, covering best practices, tools, frameworks, and regulatory compliance, while building a culture of responsibility and creating fair, transparent, and accountable AI systems.

  • Next Training: 6 September 2024
  • Duration: 4 hours
  • Price: €349.99 (excl. VAT)
  • Languages: English (German available upon request)
  • Location: Online (Onsite available upon request)

Details

Join our “Introduction to Responsible AI” course to learn how to effectively implement ethical principles in the development and deployment of AI systems. This 4-hour online course focuses on practical approaches to responsible AI, including best practices for ethical design, tools and frameworks, and regulatory compliance. You will gain insights into continuous monitoring and improvement strategies to ensure your AI projects meet ethical standards. Perfect for developers, managers, and AI practitioners, this course will help you build a culture of responsibility within your organization and create AI systems that are fair, transparent, and accountable.

Modules

Fundamentals of Responsible AI

Understand the definition and importance of responsible AI, including ethical principles such as fairness, transparency, and accountability.

Ethical AI Design Principles

Explore bias and fairness, privacy and surveillance, transparency, and accountability within AI systems.

Tools and Frameworks for Responsible AI

Explore various tools and frameworks for implementing responsible AI and applying ethical principles.

Regulatory and Compliance Aspects

Understand key regulations and compliance requirements, and the role of governments and international organizations in AI ethics.

Monitoring and Improving AI Systems

Discover strategies for continuous monitoring, evaluation, and improvement of AI systems to ensure ethical compliance.

Building a Culture of Responsibility

Learn how to create an ethical AI culture within organizations, including training and awareness programs.

Meet the trainer

Dr. Allison Fisher

Allison is a seasoned leader and educator with a passion for agile learning and ethical AI and over 20 years of expertise in leadership, curriculum design, instruction, and building and scaling training programs. After spending 15 years in academia as a university professor and Dean, she transitioned to the field of AI, working with clients to integrate AI applications into education programs, and then as the Head of AI Academy, building an AI Academy from scratch in 18 months, resulting in large-scale training initiatives for renowned companies. Dr. Fisher’s steadfast commitment to ethical AI and transformative education positions her as a dedicated advocate in shaping the future of technology.

Dr. Denise Vandeweijer

Denise is a distinguished alumnus of TU Munich with a background in Mechanical Engineering, later pursued a PhD in Information Systems, enriching her academic repertoire. Her professional journey boasts a decade at BMW, where she played a pivotal role in pioneering autonomous driving initiatives. After a noteworthy 3-year tenure as the Director of AI Solutions and Projects, Dr. Denise Vandeweijer transitioned into entrepreneurship. As a serial founder in the AI domain, she has consistently pushed the boundaries of what’s possible, emphasizing an “AI-first” approach. Her passion for merging engineering with artificial intelligence makes Dr. Denise Vandeweijer a key figure in the AI industry.

Get your ticket now!

Contact for inquiries

Introduction to AI

Introduction to AI

Introduction to AI

Unlock the world of Artificial Intelligence.

Explore the fascinating world of AI, from its basics and history to deep learning, neural networks, and the transformative power of generative AI in our interactive course.

  • Next Training: 30 August 2024
  • Duration: 4 hours
  • Price: €249.99 (excl. VAT)
  • Languages: English (German available upon request)
  • Location: Online (Onsite available upon request)

Details

Step into the world of artificial intelligence with our non-technical “Introduction to AI” course, perfect for beginners and enthusiasts alike. This engaging 4-hour online course offers a comprehensive overview of AI without requiring a technical background.

The interactive format will keep you engaged and allow you to apply your knowledge right away.

Modules

Understanding AI: Basics, History, and Significance

Understand the basics of AI, its history, and its significance in today’s world.

Fundamentals of AI: Machine Learning and Data

Explore the fundamental concepts behind AI, including machine learning and data processing.

Deep Learning and Neural Networks

Discover how deep learning and neural networks power some of the most advanced AI applications.

Generative AI and Large Language Models (LLMs)

Learn about generative AI and large language models (LLMs), and their transformative potential.

Meet the trainers

Dr. Allison Fisher

Allison is a seasoned leader and educator with a passion for agile learning and ethical AI and over 20 years of expertise in leadership, curriculum design, instruction, and building and scaling training programs. After spending 15 years in academia as a university professor and Dean, she transitioned to the field of AI, working with clients to integrate AI applications into education programs, and then as the Head of AI Academy, building an AI Academy from scratch in 18 months, resulting in large-scale training initiatives for renowned companies. Dr. Fisher’s steadfast commitment to ethical AI and transformative education positions her as a dedicated advocate in shaping the future of technology.

Dr. Denise Vandeweijer

Denise is a distinguished alumnus of TU Munich with a background in Mechanical Engineering, later pursued a PhD in Information Systems, enriching her academic repertoire. Her professional journey boasts a decade at BMW, where she played a pivotal role in pioneering autonomous driving initiatives. After a noteworthy 3-year tenure as the Director of AI Solutions and Projects, Dr. Denise Vandeweijer transitioned into entrepreneurship. As a serial founder in the AI domain, she has consistently pushed the boundaries of what’s possible, emphasizing an “AI-first” approach. Her passion for merging engineering with artificial intelligence makes Dr. Denise Vandeweijer a key figure in the AI industry.

Dr. Allison Fisher

Allison is a seasoned leader and educator with a passion for agile learning and ethical AI and over 20 years of expertise in leadership, curriculum design, instruction, and building and scaling training programs. After spending 15 years in academia as a university professor and Dean, she transitioned to the field of AI, working with clients to integrate AI applications into education programs, and then as the Head of AI Academy, building an AI Academy from scratch in 18 months, resulting in large-scale training initiatives for renowned companies. Dr. Fisher’s steadfast commitment to ethical AI and transformative education positions her as a dedicated advocate in shaping the future of technology.

Dr. Denise Vandeweijer

Denise is a distinguished alumnus of TU Munich with a background in Mechanical Engineering, later pursued a PhD in Information Systems, enriching her academic repertoire. Her professional journey boasts a decade at BMW, where she played a pivotal role in pioneering autonomous driving initiatives. After a noteworthy 3-year tenure as the Director of AI Solutions and Projects, Dr. Denise Vandeweijer transitioned into entrepreneurship. As a serial founder in the AI domain, she has consistently pushed the boundaries of what’s possible, emphasizing an “AI-first” approach. Her passion for merging engineering with artificial intelligence makes Dr. Denise Vandeweijer a key figure in the AI industry.

Get your ticket now!

Contact for inquiries

Introduction to AI Ethics

Introduction to AI Ethics

Introduction to

AI Ethics

Navigate the ethical landscape of

Artificial Intelligence.

Dive into AI ethics with our comprehensive course, covering key ethical theories, real-world case studies, and the importance of fairness, transparency, and accountability, to develop an ethical mindset for AI endeavors.

  • Next Training: 12 September 2024
  • Duration: 4 hours
  • Price: €349.99 (excl. VAT)
  • Languages: English (German available upon request)
  • Location: Online (Onsite available upon request)

Details

Discover the foundational principles of AI ethics in our comprehensive “Introduction to AI Ethics” course. This 4-hour online course is designed to provide you with a deep understanding of the ethical challenges and considerations in artificial intelligence. Through engaging modules, you will explore key ethical theories, historical contexts, and real-world case studies that highlight the importance of fairness, transparency, and accountability in AI. Ideal for professionals, students, and enthusiasts, this course will equip you with the knowledge to navigate the complex landscape of AI ethics and develop an ethical mindset in your AI-related endeavors.

Modules

Understanding Ethics in AI

Understand the definition of ethics, its importance in AI, historical context, and key ethical principles such as fairness and transparency.

Ethical Challenges in AI

Explore bias and fairness, privacy and surveillance, transparency, and accountability within AI systems.

Key Ethical Theories and Frameworks

Overview ethical theories including deontology, utilitarianism, and virtue ethics, and explore frameworks for ethical AI.

U

Case Studies in AI Ethics

Examine detailed high-profile AI ethics cases and learn valuable lessons from them.

Future Directions in AI Ethics

Identify emerging trends and future ethical challenges, and understand the role of ethics in AI research.

Building an Ethical Mindset

Cultivate ethical awareness and understand the importance of personal and professional responsibility in AI.

 

Meet the trainer

Dr. Allison Fisher

Allison is a seasoned leader and educator with a passion for agile learning and ethical AI and over 20 years of expertise in leadership, curriculum design, instruction, and building and scaling training programs. After spending 15 years in academia as a university professor and Dean, she transitioned to the field of AI, working with clients to integrate AI applications into education programs, and then as the Head of AI Academy, building an AI Academy from scratch in 18 months, resulting in large-scale training initiatives for renowned companies. Dr. Fisher’s steadfast commitment to ethical AI and transformative education positions her as a dedicated advocate in shaping the future of technology.

Get your ticket now!

Contact for inquiries

Introduction to AI Quality

Introduction to AI Quality

Elevate Excellence in AI: Where Quality Meets Success.

  • Course Overview: Deliver AI-driven solutions that meet rigorous quality standards and drive successful outcomes.
  • Who Should Attend: AI developers and engineers, quality assurance professionals, product managers, business executives and managers, compliance departments, and anyone interested in delivering AI solutions that meet quality standards and ensure reliable outcomes.

  • Available upon request

Contact for inquiries