MCA Microsoft SQL AI Developer Associate Certification (DP-900, DP-800) Boot Camp

Upcoming Sessions

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Date

Location / Format

Price

Aug 31 – Sep 4, 2026

Sarasota Fl · Onsite

$2,995.00

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Sep 21–25, 2026

Sarasota, FL · Onsite

$2,995.00

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Oct 19–23, 2026

Sarasota, FL · Onsite

$2,995.00

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Nov 9–13, 2026

Sarasota, FL · Onsite

$2,995.00

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Dec 7–11, 2026

Sarasota, FL · Onsite

$2,995.00

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Training a team? Get a customized Team Quote Volume pricing available for groups and corporate training.

Upcoming Sessions Microsoft SQL AI Developer Associate

Aug 31 – Sep 4, 2026
Sep 21–25, 2026
Oct 19–23, 2026
Nov 9–13, 2026
Dec 7–11, 2026

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Course Details

MCA Microsoft SQL AI Developer Associate Certification (DP-900, DP-800) Boot Camp

Duration

5 Days

Exams Covered

DP-900 / DP-800

Delivery

Classroom Live
Remote Live

Included

Vouchers + Retake + Official Labs

Why Thousands Choose Career Camps

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Get access to training from 10+ established certification training providers, giving you more options to find the right course, schedule, delivery format, and training solution for your certification goals.

Live Certified Instructors

Learn directly from experienced certified instructors—not prerecorded videos or self-paced material.

Official Training

Train with authorized, official courseware and curriculum from leading technology certification providers. Get the same industry-recognized training designed to prepare professionals for today’s most in-demand certifications and technology roles.

Course Description

Description

Earn two Microsoft certifications in just five days. This accelerated, instructor-led SQL AI Developer Bootcamp prepares you for both the Microsoft Certified: Azure Data Fundamentals and Microsoft Certified: SQL AI Developer Associate certifications.

Gain hands-on experience designing, developing, and optimizing AI-enabled database solutions using SQL Server, Azure SQL, and Microsoft Fabric SQL databases. The curriculum covers core data concepts, advanced T-SQL, database security, performance tuning, SQL Database Projects, and modern AI techniques including vector search, Retrieval-Augmented Generation (RAG), and integrating generative AI with enterprise data.

Training is aligned with the official Microsoft exam objectives, and students have the option to take both the DP-900: Microsoft Azure Data Fundamentals and DP-800: SQL AI Developer Associate certification exams during the bootcamp. Available live in Sarasota, Florida, or online, the course includes official Microsoft training materials, exam voucher options, and extensive hands-on lab exercises to prepare you for real-world SQL and AI development.

EXAMS INCLUDED

DP-900: Microsoft Azure Data Fundamentals
DP-800: SQL AI Developer Associate

Prerequisites

Experience with SQL and relational databases
Basic understanding of cloud data platforms
Familiarity with application development concepts

Our Facilities

CAREER CAMPS FACILITIES

CAMPUS – Career Camps built out a stand alone training center (not a hotel conference room) with spacious classrooms, new desk, Herman Miller Aeron chairs & comfortable common areas. Each student has a dedicated desk with two monitors. Each classroom has a maximum of two rows – so everyone is able to be engaged without the “back row” feeling.

CLASSROOM EQUIPMENT – Students work on a dedicated Dell Client Desktop with 32GB memory with 512GB SSD drives – All Labs are executed the extremely fast Microsoft Data Center Hosted Lab Environment.

CAMPUS INTERNET – The campus is connected with a 1Gbps (1,000 Mbps) Verizon Fios Business Connection which provides complete internet (including VPN) access for students.

COMMON AREA – Amenities including snacks, drinks (Coffee, 100% juices, sodas, etc) all complimentary.

LODGING – We use the Hyatt Place Lakewood Ranch. This “upgraded” hotel offers extremely comfortable beds, great breakfast and very fast internet access.

NEAR BY AMENITIES – Many shops, restaurants and grocery options are available within walking distance. Additionally – the hotel provided scheduled shuttle services. Restaurants like Bone Fish Grill, Ruby Tuesday’s, Five Guys, Chipotle, Quiznos, Chili’s and over 20 additional choices in the immediate area. All of these options are offered in a pedestrian walking village.

Why Choose Us

CAREER CAMPS DIFFERENCE

Career Camps provides an in-depth hands on learning environment. Our instructors teach using demonstrations and explain concepts beyond the scope of the courseware. The best instructors are contracted from all across the US. These professionals are real world consultants who actually implement these technologies. Career Camps knows our clients work in the “real world” and it only makes sense to have an instructor with the experience in the real world.

Facilities – Many of our competitors over-crowd classrooms by placing 2 to 3 students per desk and 20+ students per instructor. Often these companies “extend” the life of very old equipment with slow performance on the software used today. Our average class size is 8 students. Our facilities have the best equipment with the most comfortable, focused environment for learning.

Instructors – Our CEO, Chester Flake holds one of the rarest Microsoft Certifications – the Microsoft Certified Learning Consultant (MCLC) Certification. This certification reflects a commitment to make sure our instructors are also actively engaged in real world consulting projects. Students expect a professional who can answer questions and demonstrate the technology.

Face to Face Training – We believe the best way to interact and learn is face to face training. Many of our competitors which offer local training are simply providing students with headphones/mic to attend class with an instructor at a remote location.

Test Pass – We offer a free retake voucher (if needed) for each of the exams required for certification. Any training center offering a “100% pass guarantee” would have to use unethical practices or unlimited test vouchers (which is not likely or practical).

Distractions – Students often look for a “local” training center so they can be close to home and work. Boot camp requires a tremendous time commitment during the program. Long class hours combined with self study each evening. The goal of boot camp is to achieve certification in a fraction of the time. We strongly recommend students attend camp away from home and work in a focused, distraction free environment.

Boot Camp – Boot camp is an accelerated training focused on teaching technology and testing students on the official exams. Most training providers “added” boot camps to the existing standard training classes they offer. These training centers think a boot camp is just a regular class where you send the student home with a voucher on the last day. Career Camps administers exams throughout the camp. Equally important – not every trainer can teach a boot camp and not all courseware is designed for boot camp format. Our trainers know the boot camp format and our courseware is designed for accelerated learning.

Florida – Career Camps has one of the most scenic locations boasting some of the best weather in US. We believe students should have a comfortable and inviting atmosphere while attending these otherwise intense programs. We place our location, facilities and amenities up against that any competitor.

Microsoft Gold Learning Partner

Career Camps has developed a comprehensive training / delivery format which focuses on learning beyond the core content accessible to any Microsoft training provider. Our program incorporates interactive demonstrations with explanations which go beyond the content of the book. Additional content, videos, labs & demonstrations are provided to expand on advanced topics – providing additional insight and perspective.

Career Camps training is not the typical book & PowerPoint presentation found at any local training center.

As a Microsoft Certified Partner with Gold Learning Competency – we adhere to the strict guidelines, standards and requirements to use Microsoft’s exclusive curriculum. More over – our standards go beyond the “minimum requirements” set forth by Microsoft Learning.

We leverage our partnership benefits of courseware customization to build end to end technology training solutions. Students gain practical skills which can be implemented immediately.

At most training centers – learning starts on the first day of class and ends on the last day. Our boot camp training program is designed to offer resources before, during and after.

What You'll Learn

Describe core data concepts.
Identify considerations for relational data on Azure.
Describe considerations for working with non-relational data on Azure.
Describe an analytics workload on Azure.
Build AI-enabled database solutions using Microsoft technologies
Gain hands-on experience with vector search and embeddings
Learn how to integrate AI into enterprise data platforms
Improve application intelligence and search capabilities
Stay current with emerging AI + data architecture trends
Align skills with modern AI-driven development practices

Course Outline

Module 1: Explore core data concepts

Data powers the digital transformation sweeping across organizations and society in general. But what is "data," and how is it represented and used?
In this module, you will learn how to:
Identify common data formats
Describe options for storing data in files
Describe options for storing data in databases
Describe the characteristics of transactional data processing solutions
Describe the characteristics of analytical data processing solutions

Module 2: Explore data roles and services

Data professionals perform distinct roles in building and managing software solutions and work with multiple technologies and services.
In this module, you will learn how to:
Identify common data professional roles
Identify standard cloud services used by data professionals

Module 3: Explore fundamental relational data concepts

Relational database systems are a common way to store and manage transactional and analytical data in organizations of any size worldwide.
In this module, you'll learn how to:
Identify characteristics of relational data
Define normalization
Identify types of SQL statement
Identify everyday relational database objects

Module 4: Explore relational database services in Azure

Microsoft Azure provides multiple services for relational databases. You can choose the best relational database management system and host relational data in the cloud.
In this module, you'll learn how to:
Identify options for Azure SQL services
Identify options for open-source databases in Azure
Provision a database service on Azure

Module 5: Explore Azure Storage for non-relational data

Azure Storage is a core Microsoft Azure service commonly used to store non-relational data.
In this module, you'll learn how to:
Describe features and capabilities of Azure blob storage
Describe the features and capabilities of Azure Data Lake Gen2
Describe the features and capabilities of Azure file storage
Describe features and capabilities of Azure table storage
Provision and use an Azure Storage account

Module 6: Explore fundamentals of Azure Cosmos DB

Azure Cosmos DB provides a highly scalable store for non-relational data.
In this module, you'll learn how to:
Describe key features and capabilities of Azure Cosmos DB
Identify the APIs supported in Azure Cosmos DB
Provision and use an Azure Cosmos DB instance

Module 7: Explore fundamentals of large-scale data warehousing

Organizations use modern data warehousing to build large-scale data analytics solutions that generate insights and drive success. Microsoft Azure includes multiple technologies you can combine to build a modern data warehousing solution.
In this module, you will learn how to:
Identify common elements of a modern data warehousing solution
Describe critical features for data ingestion pipelines
Identify common types of analytical data stores and related Azure services
Provision Azure Synapse Analytics and use it to ingest, process, and query data

Module 8: Explore fundamentals of real-time analytics

Learn about the basics of stream processing and the services in Microsoft Azure that you can use to implement real-time analytics solutions.
Compare batch and stream processing.
Describe common elements of streaming data solutions
Describe the features and capabilities of Azure Stream Analytics
Describe features and capabilities of Spark Structured Streaming on Azure

Module 9: Explore fundamentals of data visualization

Learn the fundamental principles of analytical data modeling and data visualization using Microsoft Power BI as a platform to explore these principles in action.
After completing this module, you will be able to:
Describe a high-level process for creating reporting solutions with Microsoft Power BI
Describe the core principles of analytical data modeling
Identify common types of data visualization and their uses
Create an interactive report with Power BI Desktop
Design and implement database objects with SQL
Understand SQL Server-based platform choices
Build effective tables
Optimize with indexes
Use specialized table types
Enforce data integrity with constraints
Manage JSON columns and indexes
Partition tables for scale
Create and maintain database objects
Implement programmability objects with SQL
Create views
Create stored procedures
Create scalar functions
Create table-valued functions
Create triggers
Choose when to use each option
Implement programmability objects in SQL Server
Write advanced T-SQL code
Organize queries with Common Table Expressions
Apply window functions for analytics
Process JSON data with built-in functions
Match patterns with regular expressions
Find approximate matches with fuzzy string functions
Traverse relationships with graph queries
Compare rows with correlated subqueries
Handle errors with TRY...CATCH
Work with JSON functions
Implement SQL solutions by using AI-assisted tools
Describe AI-assisted development tools for Microsoft SQL platforms
Interpret security impact of using AI-assisted tools
Enable GitHub Copilot and Fabric Copilot
Configure model and Model Context Protocol (MCP) options
Create and configure GitHub Copilot instruction files
Connect to MCP server endpoints, including SQL Server and Fabric Lakehouse
Configure AI-assisted tools for database development
Implement data security and compliance with SQL
Protect data with encryption
Configure dynamic data masking
Implement row-level security
Manage permissions and secure access
Implement auditing
Configure secure access to AI services
Secure data API endpoints
Implement security features
Optimize database performance
Recommend database configurations
Preserve data integrity with transaction isolation levels and concurrency controls
Evaluate query performance with execution plans and DMVs
Monitor and tune queries with Query Store and Query Performance Insight
Identify and resolve blocking and deadlocks
Optimize query performance
Implement CI/CD by using SQL Database Projects
Create, build, and validate SQL Database Projects
Configure source control and manage reference data
Manage branching, pull requests, and conflict resolution
Detect and resolve schema drift
Implement CI/CD pipelines
Design and implement a testing strategy
Implement CI/CD using SQL Database Projects
Integrate SQL solutions with Azure services
Create configuration files for Data API Builder
Define entities for REST and GraphQL
Expose database objects, stored procedures, and views
Explore deployment options for Data API Builder
Recommend Azure Monitor configurations
Handle changes with event-driven patterns
Configure Data API Builder for solutions
Design and implement models and embeddings with SQL
Understand and evaluate models for SQL database workloads
Create and manage external models in SQL
Design embeddings for SQL database workloads
Generate and maintain embeddings
Generate and update embeddings in Azure SQL Database
Design and implement intelligent search with SQL
Choose an intelligent search approach
Implement full-text search
Prepare SQL for vector search
Implement vector search query patterns
Implement hybrid search and ranking
Implement intelligent search with full-text, vector, and hybrid queries
Design and implement RAG with SQL
Identify RAG use cases and architecture
Prepare retrieval context for augmentation
Augment prompts with database context
Generate and process RAG responses
Implement a RAG solution

Frequently Asked Questions

What is the Microsoft SQL AI Developer Associate (DP-900, DP-800) Boot Camp?

This instructor-led Microsoft SQL AI Developer Associate Boot Camp is an accelerated training program designed to prepare participants for Microsoft’s data and AI certification path. The boot camp combines DP-900: Microsoft Azure Data Fundamentals with DP-800: Developing AI-Enabled Database Solutions, covering core data concepts, Azure data services, SQL development, AI-enabled databases, vector search, semantic search, and Retrieval-Augmented Generation (RAG).

What certifications can I earn through this Microsoft SQL AI Developer Boot Camp?

The boot camp prepares you for Microsoft Certified: Azure Data Fundamentals through Exam DP-900 and Microsoft Certified: SQL AI Developer Associate through Exam DP-800. DP-800 focuses on designing, developing, securing, optimizing, and deploying AI-enabled database solutions across Microsoft SQL platforms.

Who should take the SQL AI Developer Associate Boot Camp?

This boot camp is ideal for SQL developers, database developers, database administrators, data professionals, software developers, data architects, and IT professionals who want to build AI-enabled database solutions. It is also a strong option for SQL professionals looking to add modern AI capabilities to their existing database development skills.

Do I need SQL experience before taking this boot camp?

Some SQL and database experience is recommended, particularly for the DP-800 portion of the training. Microsoft expects candidates to have experience developing databases and writing T-SQL, along with familiarity with AI concepts such as embeddings, vectors, and models.

Will this boot camp teach me how to use AI with SQL databases?

Yes. The DP-800 curriculum includes AI capabilities such as embeddings, vector search, semantic search, hybrid search, and Retrieval-Augmented Generation (RAG). Participants learn how AI can be integrated directly into SQL-based database solutions to support intelligent applications and AI-driven experiences.

What is the difference between DP-900 and DP-800?

DP-900 focuses on foundational knowledge of data concepts and Microsoft Azure data services, making it appropriate for professionals building their understanding of cloud data. DP-800 is an intermediate developer-focused exam that goes much deeper into building, securing, optimizing, deploying, and adding AI capabilities to SQL database solutions.