the course
Understand how AI and Machine Learning really work — without hype.
Artificial Intelligence is everywhere, but many professionals still lack a clear understanding of what AI actually is — and what it is not.
This AI fundamentals training provides a complete foundation in AI and Machine Learning concepts, from data and statistics to algorithms and real-world applications.
You will learn how machines recognize patterns, build models and make predictions — and why data quality, context and domain expertise are critical for success.
Focus on AI & Machine Learning fundamentals — no generative AI or LLM use cases.
For professionals who want to understand how AI and Machine Learning really work — without needing a data science background.
This training is especially relevant if you:
• work in IT, architecture, DevOps or product management
• are involved in data, analytics or digital transformation initiatives
• need to understand AI concepts to make better technical or business decisions
• want to move from buzzwords to real understanding of AI and Machine Learning
This is a one-day training, also available as an e-learning with 20+ concise video lessons of approximately 8–10 minutes each, allowing you to learn at your own pace. Please note: this e-learning does not include subtitles.
No prior knowledge of AI or Machine Learning is required.
Basic understanding of IT concepts and systems is recommended, but the training is designed to be accessible for both technical and non-technical professionals.
Find structure in the noise
Course Agenda
Understand what Artificial Intelligence and Machine Learning really are, how they relate to each other and where they are applied today.
Learn key concepts such as intelligent agents, neural networks and the different ways AI can be defined.
Discover how machines learn from data, recognize patterns and make predictions using models.
Overview of supervised, unsupervised and reinforcement learning and when to use each approach.
Understand the role of data, features and labels and why data quality is critical for successful AI solutions.
Learn how the data science process transforms raw data into insights and actionable decisions.
Explore real-world applications such as recommendation systems, fraud detection and personalization.
Understand the limitations of AI, how bias is introduced and why ethics and governance are essential.
What is needed to successfully apply AI: data, tooling, collaboration and domain expertise.
Available through preferred suppliers and procurement channels.
Design a training that fits your IT landscape, standards and organization
• Combine proven content with your specific architecture and technologies
• Increase relevance and adoption with organization-specific examples
• Build custom classroom training for teams, engineers, management and architects
• Create tailored e-learning aligned with your internal guidelines
• Integrate learning into your intranet or LMS environment
• Deliver training in your branding and corporate identity
Understand how network and security converge in modern cloud environments
Learn the fundamentals of SASE architecture and cloud-native security
• Explore SD-WAN, CASB and Zero Trust concepts in context
• Understand identity-driven and policy-based access control
• Learn how networking evolves from MPLS to software-defined architectures
• Recognize modern challenges such as remote work, cloud adoption and complexity
Apply SASE principles to scalable and distributed systems
