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Helm & Nagel
Tim Filzinger

Tim Filzinger leads press relations, media coordination, and external communications at Helm & Nagel GmbH. He works with German and international trade publications including Springer Professional, BigData-Insider, and IT Daily to place guest articles and thought leadership content. With a deep network of media contacts across Europe, Tim builds and maintains relationships that amplify Helm & Nagel's voice in industry discourse.

Join our free 6-week AI course to learn while working. This program is ideal for full-time employees looking to develop practical artificial intelligence expertise.

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Course Overview

This six-week course is designed for driven self-learners who want to develop unmatched expertise and advance their corporate future. You'll progress from AI fundamentals through practical implementation strategies, learning what matters most for business leaders and practitioners.

Week 1: Introduction to AI in Business

Start with the core concepts that drive artificial intelligence. Understanding AI basics gives you the foundation needed to evaluate opportunities in your own organization.

  • Understanding AI Basics: Explore the fundamental concepts of Artificial Intelligence and its various forms, from machine learning to generative AI.
  • Impact on Businesses: Learn how AI is transforming different industries and business functions, from customer service to strategic decision-making.

Outcome: You'll have a solid understanding of AI fundamentals and its transformative role in modern business.

Week 2: AI Case Studies and Applications

Real-world examples provide invaluable lessons. This week examines both successful implementations and instructive failures across industries.

  • Real-World Business Applications: Delve into case studies showcasing successful AI implementations in business, learning what works and why.
  • Lessons from Failures: Analyze instances where AI didn't meet business expectations. Understanding these challenges helps you avoid similar pitfalls in your organization.

Outcome: You'll gain actionable insights into practical AI applications and learn from both successes and setbacks across industries.

Week 3: Assessing Business Needs for AI

Identifying the right AI opportunities for your organization is critical. This section teaches you how to evaluate where AI can deliver real value.

  • Identifying AI Opportunities: Learn to pinpoint areas in your business ripe for AI integration. See also our guide to your first automation move.
  • Readiness Assessment: Understand how to evaluate your organization's technical needs, data maturity, and readiness for AI solutions.

Outcome: You'll be equipped to identify potential AI applications tailored to your business's specific context and constraints.

Week 4: AI Technologies and Tools

Practical knowledge of available tools matters. This week covers the technologies your organization will actually use.

  • Overview of AI Technologies: Get acquainted with key AI technologies relevant to business applications, from natural language processing to predictive analytics.
  • Tools and Resources: Discover the tools and resources available for implementing AI solutions, understanding their strengths and appropriate use cases.

Outcome: You'll have the knowledge to evaluate and recommend AI technologies suited to your organization's needs.

Week 5: Developing Your AI Roadmap

Strategic planning transforms AI knowledge into business results. Learn how to create a roadmap that aligns with your organization's goals.

  • Strategic Planning for AI: Develop a strategic AI roadmap aligned with your business goals and resource constraints.
  • Implementation Frameworks: Understand proven frameworks for integrating AI into business processes. The AI Canvas analytical approach offers one structured methodology.

Outcome: You'll develop the skills to create a comprehensive and actionable AI roadmap for your organization.

Week 6: Implementing Your AI Solutions

Execution is where strategy becomes reality. This final week covers deployment and scaling of AI solutions.

  • Deployment Strategies: Explore effective strategies for AI solution deployment, including data protection and change management.
  • Management and Scaling: Learn about managing and scaling AI solutions to meet evolving business needs. Our mid-market AI adoption guide covers these complexities in detail.

Outcome: You'll gain the expertise to implement, manage, and scale AI solutions effectively across your organization.