4.9Course Overview
The DP-3028-A: Implement Generative AI Engineering with Azure Databricks course is designed for data engineers, AI developers, and solution architects who aim to leverage the full potential of Generative AI within the Azure Databricks ecosystem. Participants will gain advanced expertise in designing, building, and deploying generative AI models and pipelines for enterprise-grade applications.
Through hands-on labs, real-world case studies, and advanced engineering techniques, learners will explore the integration of large language models (LLMs), natural language processing (NLP), and machine learning workflows within Databricks. The course emphasizes scalable, secure, and efficient AI solutions that drive business insights, automation, and innovation.
In this course, you will:
- Gain hands-on experience implementing Retrieval-Augmented Generation (RAG) and fine-tuning large language models (LLMs).
- Explore multi-stage reasoning techniques using LangChain, LlamaIndex, Haystack, and DSPy.
- Understand and apply LLMOps practices for model deployment, monitoring, and governance with MLflow and Unity Catalog.
- Incorporate responsible AI principles, including risk mitigation and ethical considerations.
- Build and operationalize generative AI solutions using Azure Databricks and Apache Spark.
- Acquire in-demand generative AI skills in a focused, one-day training format.
Prerequisites:
Before starting this module, you should be familiar with fundamental Azure Databricks concepts.
Flexible Training Options to
Meet Your Needs
We know the importance of flexibility in the success of learning and professional development. This is the reason CounselTrain provides a variety of delivery options for all IT training offered in the UAE to ensure access and convenience for each learner.
Select the method that best suits your needs.
Target Audiance
- Data Engineers: Professionals responsible for building and maintaining scalable data pipelines and preparing datasets for generative AI model training.
- AI / ML Developers: Developers working on implementing, fine-tuning, and deploying large language models (LLMs) and NLP-based solutions.
- Solution Architects: Individuals designing enterprise-level AI and analytics solutions who need to integrate generative AI into business workflows.
- Data Scientists: Professionals seeking to leverage Azure Databricks for advanced generative AI experimentation and model optimization.
- Azure Cloud Engineers: Cloud professionals managing Azure resources and services for AI deployment at scale.
- Enterprise AI Consultants: Consultants responsible for delivering AI-driven solutions and digital transformation strategies to clients.
Soft copy of Courseware
Certificate of Course Complition
Experienced and Professional Trainer
Lab and Exercises During Training 
Sample Questions for Exam Prepration
Mock Test on the Last Day of Training 
Exam Registration Guidance 
5-Star Training Environmment