What’s Included?
High-Quality Video, E-book & Audiobook
Module Quizzes
AI Mentor
Access for Tablet & Phone
Prerequisites
- Basic Python and machine learning knowledge
- Understanding of data engineering concepts
- Familiarity with Azure services
- Experience with Delta Lake and data pipelines
Skills You’ll Gain
- Generative Model Deployment
- Databricks AI Integration
- Multi-Stage Reasoning
- Custom Model Tuning
- Dataset Fine-Tuning
- Responsible AI Principles
- LLMOps Automation Practices
- LLM Lifecycle Management
Self Study Materials Included
Videos
Engaging visual content to enhance understanding and learning experience.
Podcasts
Insightful audio sessions featuring expert discussions and real-world cases.
Audiobooks
Listen and learn anytime with convenient audio-based knowledge sharing.
E-Books
Comprehensive digital guides offering in-depth knowledge and learning support.
Module Wise Quizzes
Interactive assessments to reinforce learning and test conceptual clarity.
Additional Resources
Supplementary references and list of tools to deepen knowledge and practical application.
Tools You’ll Master
Azure Machine Learning
Azure Databricks
Databricks Clusters
MLflow
Delta Lake
What You’ll Learn
Build & Deploy LLMs
Use Databricks to create and operationalize large language models.
Enhance with RAG
Improve responses using Retrieval Augmented Generation techniques.
Apply Multi-Stage Reasoning
Design AI workflows with layered decision-making logic.
Monitor with LLMOps Tools
Track, evaluate, and fine-tune models effectively.
Course Modules
Lesson 1: Implement Generative AI Engineering with Azure Databricks
Module 1: Get Started with Language Models in Azure Databricks
Module 2: Implement Retrieval Augmented Generation (RAG) with Azure Databricks
Module 3: Implement Multi-Stage Reasoning in Azure Databricks
Module 4: Fine-Tune Language Models with Azure Databricks
Module 5: Evaluate Language Models with Azure Databricks
Module 6: Review Responsible AI Principles for Language Models in Azure Databricks
Module 7: Implement LLMOps in Azure Databricks
Frequently Asked Questions
This course is ideal for data engineers, ML practitioners, and AI developers.
Basic familiarity with Azure services like ML and Storage is helpful.
Yes, a working knowledge of Python is essential.
Absolutely! The course includes practical labs and exercises.
You’ll earn a Microsoft certification in Generative AI Engineering with Azure Databricks.