Microsoft Course: Build an AI copilot with vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI
AI Copilot Architect: Master Azure Cosmos DB & OpenAI Integration
- Master cluster creation, scaling, and high-availability configurations
- Migrate Efficiently
- Build AI Copilots
- Optimize Costs
- Ensure Compliance
- Align with Industry Trends
- Build a base for specialized roles in AI development or cloud engineering
- Prepare for more advanced Microsoft certifications in AI
What you will learn
"Build an AI Copilot with vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI" is a 3-hour 46-minute course designed for developers and data engineers aiming to integrate AI-driven solutions with scalable database systems. Focused on vCore-based Azure Cosmos DB for MongoDB, this course covers cluster deployment, migration strategies, high-availability management, and AI copilot development using Retrieval Augmented Generation (RAG) and vector search. Learners will explore tools like Azure Data Studio and Azure Databricks for seamless data migration, implement vector indexes for semantic queries, and deploy AI agents that combine Azure OpenAI’s language models with real-time data. The curriculum emphasizes enterprise scalability, cost optimization, and compliance, making it ideal for teams modernizing legacy systems or building AI-powered applications like chatbots or predictive analytics tools.
Microsoft's Build an AI copilot with vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI course Outline
Learn the Build an AI copilot with vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI
Transform your MongoDB workflows into AI-powered engines with this 3.5-hour course. Learn to migrate legacy databases to Azure Cosmos DB's vCore architecture, deploy vector search for real-time insights, and build AI copilots that answer complex queries using Azure OpenAI. Hands-on labs guide you through cluster scaling, RAG implementation, and cost optimization—no PhD required! Enroll now and join 80% of learners who report 2x faster AI deployment post-training ?. "90% of enterprises using RAG reduce AI hallucination risks by 40%."
Start your journey today:
Course Structure Includes:
Module 1: Cluster Implementation (33 min):
- vCore architecture basics, cluster creation, and Hyperscale configurations.
Module 2: Migration Strategies (50 min):
- Offline migration with MongoDB tools and Azure Databricks.
Module 3: Cluster Management (70 min):
- Scaling, backup/restore, and monitoring with Azure Diagnostics.
Module 4: AI Copilot Development (73 min):
- RAG implementation, vector indexing (DiskANN/HNSW), and Azure OpenAI integration.
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Learn to build AI copilots with Azure Cosmos DB vCore and OpenAI. Migrate MongoDB, implement RAG, and deploy scalable AI agents.
Pre-requisites
Familiarity with Azure and the Azure portal.
Experience programming with Python or Node.js.
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