Key Features of the Databricks Certified Generative AI Engineer Associate Course

Unlimited access to the course for two years
2 Practice tests with 90+ unique questions
24x7 Support from our Subject Matter Experts
Accurate solutions are crafted by our industry experts

Prerequisites for Taking Databricks Certified Generative AI Engineer Associate Certification

Candidates should have at least 6 months of experience implementing productive AI solution tasks outlined in the exam guide.

Course attendance and six months of experience in Databricks are highly recommended.

Who Should Take the Databricks Certified Generative AI Engineer Associate Course?

Individuals or students interested in understanding the concepts of Databricks-specific tools Unity Catalog for data governance and MLflow for managing a solution lifecycle.
Aspiring AI Engineers: People who want to build their careers in AI, particularly in generative AI.
Data Scientists: Professionals looking to expand knowledge in Generative AI and enhance expertise with Databricks tools.
Machine Learning Engineers looking to gain productive AI and leverage Databricks to design and implement AI solutions.
AI Solution Architects: For those who are responsible for designing and implementing AI solutions using Databricks capabilities.

Databricks Certified Generative AI Certification is Ideal for Become

AI Associate Engineers
Generative AI Engineers
Data Scientists and Engineers
Machine Learning Engineers
AI Solution Architects

Domains Focused in Databricks Certified Generative AI Engineer Associate Certification

Design Applications
Data Preparation
Application Development
Assembling and Deploying Apps
Governance
Evaluation and Monitoring

This certification assesses skills in designing and implementing LLM-enabled solutions using tools such as vector search, model serving, MLflow, and Unity Catalog.

Skills Gained from the Databricks Certified Generative AI Engineer Associate Certification

Designing and implementing LLM-enabled solutions using Databricks. Including problem decomposition to break down complex requirements into manageable tasks as well as choosing appropriate models, tools, and approaches from the current Generative AI landscape for developing comprehensive solutions.
Databricks-specific tools such as Vector Search for semantic similarity searches, Model Serving for deploying models and solutions, MLflow for managing a solution lifecycle, and Unity Catalog for data governance.
You will build and deploy performant RAG applications and LLM chains that take full advantage of Databricks and its toolset.

Benefits of Databricks Certified Generative AI Engineer Associate Certification

Build expertise in Generative AI and Databricks tools
Increase your career prospects and open doors to new opportunities with Generative AI
Command higher salaries and have better job security as a Databricks Certified AI Engineer

How Do You Reach Your Databricks Certified Generative AI Engineer Associate Goal Faster?

Go through the official Databricks Certified Generative AI Engineer Associate exam guide.
Enroll in this Databricks Certified Generative AI Engineer Associate course today to start learning and preparing for the exam concepts.
To achieve the Databricks Certified Generative AI Engineer Associate goal faster, focus on understanding the exam, building a strong foundation, creating a customized study plan, and understanding this course resource.

Primary Focus of Databricks Gen AI Certification

Knowledge of prompt engineering, prompt generation, evaluation, current LLMs, and their capabilities.
Knowledge of current related online tools and services like LangChain, Hugging Face Transformers, etc.
Working knowledge of Python and its libraries that support RAG application and LLM chain development.
Working knowledge of current APIs for data preparation, model chaining, etc.