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Databricks Certified Generative AI Engineer Associate Course Overview

Databricks Certified Generative AI Engineer Associate Course Overview

The Databricks Certified Generative AI Engineer Associate course is designed to equip learners with essential skills in generative AI and its applications using Databricks. Participants will explore key concepts such as natural language processing, machine learning models, and data handling techniques. The course emphasizes hands-on practice, enabling students to build and deploy AI solutions effectively. By the end, learners will understand how to leverage Databricks’ platform for developing generative AI projects, enhancing their ability to tackle real-world challenges in various industries. This certification not only boosts your career prospects but also empowers you with the tools to innovate in the rapidly evolving tech landscape.

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(without exam) 		850 (USD)
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Course Prerequisites

To successfully undertake the Databricks Certified Generative AI Engineer Associate course, candidates should ideally possess the following minimum prerequisites:


  • Basic understanding of programming concepts and languages (e.g., Python, SQL).
  • Familiarity with data manipulation and analysis techniques.
  • Knowledge of machine learning fundamentals and basic algorithms.
  • Understanding of cloud computing concepts, particularly within the context of data processing.
  • Experience using Databricks or similar data engineering platforms is beneficial but not mandatory.

This foundational knowledge will help you to fully engage with the course content and maximize your learning experience. We encourage all interested learners to explore the course, as it is designed to accommodate those who are willing to expand their skills in generative AI.


Target Audience for Databricks Certified Generative AI Engineer Associate

The Databricks Certified Generative AI Engineer Associate course empowers IT professionals with essential skills in generative AI and Databricks analytics for transforming organizational data into actionable insights.


  • Data Scientists
  • Machine Learning Engineers
  • AI/ML Researchers
  • Data Engineers
  • Business Intelligence Analysts
  • Analytics Consultants
  • Software Developers
  • IT Managers
  • Solution Architects
  • Data Analysts
  • Big Data Specialists
  • Cloud Engineers
  • Academic Researchers in AI
  • Technology Entrepreneurs


Learning Objectives - What you will Learn in this Databricks Certified Generative AI Engineer Associate?

Introduction

The Databricks Certified Generative AI Engineer Associate course equips learners with essential skills to develop and deploy generative AI applications on the Databricks platform, focusing on both theoretical knowledge and practical implementation.

Learning Objectives and Outcomes

  • Understand the fundamentals of generative AI and its applications.
  • Explore the architecture of generative models.
  • Gain proficiency in using Databricks for AI model development.
  • Learn to fine-tune models for specific use cases.
  • Implement data preprocessing techniques essential for generative AI.
  • Evaluate and optimize generative AI models for performance.
  • Discover best practices for deploying AI models in production.
  • Analyze ethical considerations in generative AI applications.
  • Collaborate effectively using Databricks notebooks.
  • Develop a portfolio of generative AI projects on Databricks.

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