AI Practitioner for Cloud Platforms

Course overview

Artificial intelligence on cloud platforms is one of the central future technologies. In this training, you will learn how modern AI services work, how to use them effectively, and how to handle AI technologies responsibly. You will acquire solid knowledge of the fundamentals of artificial intelligence and machine learning. You will understand how large language models and generative AI models are structured, how tokenization and transformer architectures function, and how to evaluate and select pre-trained foundation models. In the area of prompt engineering, you will learn techniques such as zero-shot, few-shot, and chain-of-thought. Additionally, you will engage with retrieval augmented generation, vector databases, and model adaptation through fine-tuning. A special focus will be on responsible AI: you will learn how to ensure fairness, transparency, and explainability, recognize bias, and comply with data protection and ethical guidelines. Security aspects also play an important role. You will learn how identity and access management for AI services works, how data is encrypted, and how to monitor AI workloads through audit, logging, and monitoring. Finally, you will develop business scenarios and solution architectures for AI applications and can apply your knowledge in practice.

Upcoming dates

• 2027-01-03T23:00:00.000Z · 2027-02-11T23:00:00.000Z · Freiberg, Sachsen · Combined Learning
• 2027-01-03T23:00:00.000Z · 2027-02-11T23:00:00.000Z · Wittmund · Combined Learning
• 2027-01-03T23:00:00.000Z · 2027-02-11T23:00:00.000Z · Lutherstadt Eisleben · Combined Learning
• 2027-01-03T23:00:00.000Z · 2027-02-11T23:00:00.000Z · Wetzlar · Combined Learning
• 2027-01-03T23:00:00.000Z · 2027-02-11T23:00:00.000Z · Bergisch Gladbach · Combined Learning