Build the practical expertise to administer, secure, and optimize PostgreSQL databases supporting AI workloads.
Advance your skills in pgvector, vector indexing, execution-plan analysis, capacity planning, tenant isolation, and recovery.
A practical specialization for experienced PostgreSQL professionals and database operations teams.
The Certified PostgreSQL Database & AI Specialist (CPDAIS) course is a practical specialization for working PostgreSQL DBAs, senior database administrators, cloud DBAs, production support engineers, and database operations teams responsible for databases supporting AI workloads.
Building on existing PostgreSQL administration skills, the program develops your ability to configure, secure, monitor, troubleshoot, and optimize AI-enabled database environments. Guided exercises and operational scenarios cover pgvector administration, vector storage, HNSW and IVFFlat indexing, execution-plan analysis, capacity planning, access controls, and database recovery.
The program includes 10 hours of core training, with an optional two-hour advanced DBA lab for deeper practice in performance tuning, incident diagnosis, capacity planning, and recovery testing.
Use PostgreSQL tools and SQL to investigate slow queries, evaluate resource usage, verify tenant isolation, and validate backup and restore procedures. Learn to use approved AI assistants responsibly for diagnostics and operational documentation while independently verifying recommendations and protecting sensitive information.
An integrated capstone brings these skills together through a realistic production incident requiring verified fixes, diagnostic evidence, an operational report, and a preventive maintenance plan.
Explore instructor-led training for individuals and teams.
Discover the program’s focus on PostgreSQL administration for AI-enabled database environments.
Explore how vector search, performance tuning, security, and recovery connect in practical database operations.
CPDAIS Course Overview • Use the player controls to watch.
Build on existing DBA knowledge to manage embeddings and vector search. Understand how AI workloads affect storage, indexing, performance, and capacity.
Work with PostgreSQL tools, SQL queries, execution plans, and database statistics. Practice tuning vector indexes, investigating resource pressure, and testing permissions.
Protect source documents and vector records using least privilege, row-level security, and verified tenant isolation. Develop tested backup, restore, and maintenance procedures.
Use AI assistants to explain execution plans, draft diagnostic queries, summarize sanitized logs, and prepare runbooks. Verify recommendations, assess risks, and test changes.
Understand how embeddings, vector search, and AI-related workloads affect PostgreSQL architecture, resource usage, and DBA responsibilities.
Enable pgvector, verify extension compatibility, validate the database environment, and document deployment requirements.
Administer vector columns, metadata, and embedding lifecycle changes while tracking storage growth and data consistency.
Create and tune HNSW and IVFFlat indexes, comparing search recall, query latency, and resource consumption.
Use EXPLAIN and EXPLAIN (ANALYZE, BUFFERS) to investigate query behavior, identify bottlenecks, and verify tuning results.
Analyze database activity, long-running queries, connection pressure, storage trends, and CPU, memory, and I/O usage.
Configure least-privilege roles, apply row-level security, and test access boundaries for source documents and vector records.
Back up and restore database objects, validate extension dependencies, verify recovered data, and plan index maintenance and upgrades.
Use approved AI assistants for diagnostics and runbook preparation while protecting sensitive information and validating recommendations.
Investigate operational failures, implement verified corrections, and document diagnostic evidence, recovery results, and preventive actions.
Apply your skills to a realistic production incident that brings the course together.
The course page also lists the following PostgreSQL topics. Contact CertFirst to confirm their coverage within your selected training delivery.
CPDAIS can strengthen your qualifications for database administration, engineering, and AI database operations roles.
Administer, secure, monitor, and maintain PostgreSQL databases supporting traditional and AI workloads.
Manage cloud PostgreSQL environments with a focus on performance, capacity, access controls, and recovery.
Maintain reliable database services through monitoring, troubleshooting, maintenance, and incident response.
Analyze execution plans, tune vector indexes, and resolve query performance and resource bottlenecks.
Improve availability and recovery readiness with tested backups, operational procedures, and preventive maintenance.
Support databases storing embeddings and serving vector searches, managing security, performance, and data growth.
Eligibility depends on your existing experience and each employer’s requirements.
| Course Name | Certified PostgreSQL Database & AI Specialist (CPDAIS) |
|---|---|
| Course Number | CPDAIS |
| Required Exam | CPDAIS |
| Number of Questions | Maximum of 60 questions |
| Question Types | Multiple-choice |
| Test Duration | 90 minutes |
| Passing Score | 70% — pass/fail only; no scaled score |
| Exam Retirement | Usually three years after launch |
| Language | English |
Extend existing administration skills to support AI workloads and vector search.
Build on responsibilities spanning database performance, security, capacity planning, and recovery.
Develop skills for managing vector data and AI workloads in cloud PostgreSQL environments.
Strengthen database monitoring, incident diagnosis, and dependable service operations.
Deepen practical experience in vector indexing, query analysis, resource optimization, and recovery testing.
Build on CPSDBA training or equivalent PostgreSQL administration experience to specialize in AI database operations.
Recommended preparation: Existing PostgreSQL administration experience and familiarity with operating systems, TCP/IP, and the Linux command line. Basic to intermediate Linux skills are recommended.
CertFirst offers instructor-led training for individuals and teams, including classroom and live online options. Contact the team to confirm your preferred delivery method.
Planning a group registration for 10 or more candidates? Email training@certfirst.com or complete the online group training inquiry to discuss your requirements and request a quote.
The program includes 10 hours of core training, with an optional two-hour advanced DBA lab covering additional practice in tuning, incident diagnosis, capacity planning, and recovery testing.
The program builds on existing PostgreSQL administration skills. Familiarity with operating systems, TCP/IP, and the Linux command line is helpful. Basic to intermediate Linux skills are recommended.
Yes. Activities include SQL exercises, execution-plan analysis, configuration tasks, security checks, recovery testing, and an integrated production-incident capstone.
The CertFirst course page states that exams are hosted through ExamIT.com, exam fees are paid separately, and candidates must complete the required training before registering. Contact CertFirst to confirm eligibility and examination arrangements.
Contact info@certfirst.com for the current CPDAIS exam voucher purchase link, pricing, and registration requirements.
Yes. For group registrations of 10 or more candidates, email training@certfirst.com or visit the on-site group training page to request a quote.
Whether you’re looking for in-classroom or live online training, CertFirst offers best-in-class instructor-led training for both individuals and teams.
Certified PostgreSQL DBA(CPSDBA) Exam Code : CPSDBA The Certified PostgreSQL...
Read More
Certified PostgreSQL Developer(CPSDBD) Exam Code : CPSDBD A PostgreSQL Developer...
Read More
Introduction to PostgreSQL Exam Code : PG100 The Introduction to...
Read More
Linux Essentials for PostgreSQL DBAs Exam Code : PGLINUX This...
Read More
Upgrading to PostgreSQL Exam Code : PGU The Upgrading to...
Read MoreNot a member yet? Register now
Are you a member? Login now