Prepare for the Databricks Generative AI Exam with Confidence

Enroll in this Free Udemy Course to ace the Databricks Generative AI Engineer exam and boost your AI skills!

This course has been significantly updated to better prepare you for the Databricks Certified Generative AI Engineer Associate certification. With an emphasis on real-world scenarios and current best practices, you can trust that you’re studying with the most accurate and relevant material. Designed for data scientists, machine learning engineers, and AI practitioners, the course includes six full-length mock exams that mirror the actual certification process.

Each mock exam comprehensively covers core domains of the certification, which include foundational concepts of generative AI, prompt engineering, model architectures, and fine-tuning techniques. In addition, real-world considerations such as ethical AI practices and model performance optimization are well addressed. Each question comes with detailed explanations that not only highlight the correct answer but also deepen your understanding of key topics.

You can attempt the practice tests multiple times, with each attempt presenting you with a fresh set of shuffled questions. To ensure success, it is recommended to take the practice exams until you can consistently score 90% or higher. Good luck with your preparation!

What you will learn:

  • Understand foundational concepts of generative AI
  • Explore model architectures including transformers and diffusion models
  • Gain insights into prompt engineering and fine-tuning techniques

Course Content:

  • Sections: 6
  • Lectures: 36
  • Duration: 5 hours

Requirements:

  • Basic knowledge of AI and machine learning concepts
  • Familiarity with Databricks platform

Who is it for?

  • Data Scientists
  • Machine Learning Engineers
  • AI/ML Developers
  • Data Engineers
  • Applied AI Practitioners
  • Cloud and Platform Engineers
  • Researchers and Innovation Leads
  • Technical Consultants
  • Solution Architects
  • Graduate Students and Early-Career Professionals

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