Practice for your next IT certification without the paywall.

Validate advanced technical skills and experience in designing distributed applications and systems on AWS.

Validate your ability to design secure, resilient, high-performing, and cost-optimized architectures on AWS.

Validate your overall understanding of AWS Cloud concepts, services, and terminology.

Validate your skills in building production ETL pipelines with Databricks, Delta Lake, Spark SQL, Lakeflow, and Unity Catalog.

Validate your ability to develop applications using Apache Spark DataFrame API, Spark SQL, Structured Streaming, and Delta Lake on the Databricks platform.

Validate your skills in using Databricks SQL, dashboards, and the Lakehouse platform for data analysis, visualization, and reporting.

Validate advanced skills in designing and implementing production-grade data engineering solutions on the Databricks Lakehouse Platform.

Validate your skills in building, deploying, and managing machine learning solutions using Databricks, MLflow, and Spark ML.

Validate advanced skills in designing, building, and deploying production machine learning solutions on the Databricks platform, including MLOps, model monitoring, and deployment strategies.

Validate your ability to design, develop, and deploy generative AI solutions using Databricks, including RAG applications, LLM chains, prompt engineering, model serving, and agentic systems with MLflow and Unity Catalog.

Validate your ability to understand core AI concepts, secure AI systems using technical controls, leverage AI to enhance security operations, and apply AI-specific governance and compliance frameworks.

CompTIA DataAI (formerly DataX) is an expert-level certification that validates advanced skills in data science, machine learning, and AI for experienced data professionals. It covers mathematics and statistics, modeling and analysis, machine learning (including deep learning, supervised, and unsupervised methods), MLOps and data science operations, and specialized applications such as NLP and computer vision. The exam features both multiple-choice and performance-based questions with pass/fail scoring (no scaled score). CompTIA recommends 5+ years of experience in data science or a similar role. Launched July 2024 as DataX, it was rebranded to DataAI in January 2026 while retaining the same DY0-001 exam code and content. It serves as the capstone expert-level certification in CompTIA's data pathway, following Data+ and DataSys+.

Validate your ability to deploy, manage, maintain, and secure database systems, including SQL development, database architecture and design, performance optimization, data and infrastructure security, governance and compliance, and business continuity planning with disaster recovery and backup strategies.

Validate your ability to govern AI systems across their lifecycle, including foundational AI concepts, applicable laws and frameworks like the EU AI Act and NIST AI RMF, and practical governance of AI development, deployment, and third-party risk.

Validate your ability to integrate privacy-protective strategies and techniques into technology, including data protection by design, privacy risk management, privacy engineering, and data lifecycle controls across products and services.

Demonstrate your ability to create, manage, and operationalize a privacy program across all stages of the privacy operational lifecycle, from governance and frameworks to incident response and workforce training.

Validate your knowledge of European data protection laws and regulations, including GDPR fundamentals, lawful processing bases, data subject rights, international data transfers, accountability requirements, and compliance in employment, surveillance, direct marketing, and internet technology contexts.

Validate your knowledge of U.S. privacy laws, regulations, and enforcement frameworks, including federal and state privacy statutes, private-sector data collection limits, government access to private-sector information, workplace privacy, and the rapidly expanding landscape of state comprehensive privacy laws.

Validate your ability to implement privacy-by-design principles, build technical privacy solutions, manage data lifecycles with privacy controls, and govern organizational privacy programs across global regulatory frameworks.

Validate your ability to design, manage, and oversee an enterprise's information security program, covering security governance, risk management, program development, and incident management.

Validate your ability to audit AI systems across their lifecycle, including AI governance and risk management, AI operations and model lifecycle, and AI-specific audit tools and techniques aligned to leading frameworks such as NIST AI RMF, EU AI Act, and ISO/IEC 42001.

Validate your ability to identify, assess, respond to, and monitor information technology risk, and to design, implement, and maintain information systems controls aligned with enterprise risk management and governance frameworks.

Validate your ability to audit, control, monitor, and assess an organization's information technology and business systems. Covers the full IS audit lifecycle including audit planning and execution, IT governance and management, systems acquisition and development, operations and business resilience, and protection of information assets including security frameworks, identity management, encryption, and incident response.

Validate your ability to deploy, configure, manage, and troubleshoot the CrowdStrike Falcon platform, including sensor deployment, prevention policies, user management, and endpoint security administration.

Validate your ability to implement and manage CrowdStrike Falcon Next-Gen SIEM, including user management, data ingestion and integration, log parsing and normalization, CQL query writing and dashboard creation, correlation rules, and Falcon Fusion SOAR automation for security operations.

Validate your ability to investigate detections and analyze data within the CrowdStrike Falcon Next-Gen SIEM environment, including constructing CQL queries, interpreting alert context, correlating events across multiple data sources, leveraging the MITRE ATT&CK framework, and communicating incident findings through dashboards and reports.

Validate your ability to respond to detections within the CrowdStrike Falcon console, including conducting initial triage, managing detection workflows, performing event searches and investigations, leveraging MITRE ATT&CK context, using search tools for threat analysis, and executing Real Time Response commands for remediation.

Validate your ability to perform threat hunting, detection analysis, and investigation within the CrowdStrike Falcon platform, including using the MITRE ATT&CK framework, CrowdStrike Query Language (CQL) event searching, host and process timeline analysis, and proactive hunting methodologies to identify and investigate adversary activity.

Validate foundational skills for building, automating, and managing cloud native platforms at scale. Covers platform engineering fundamentals, observability, security, GitOps, platform APIs, IDPs, developer experience, and platform measurement.

The Palo Alto Networks Certified XSIAM Engineer certification validates the knowledge and skills required for engineers to deploy, configure, manage, onboard data, create playbooks, and troubleshoot Cortex XSIAM in security operations environments. This specialist-level certification targets security operations engineers, SIEM engineers, detection engineers, and security architects with hands-on experience in SOC workflows, scripting (Python, PowerShell, XQL), and threat intelligence frameworks like MITRE ATT&CK. The exam covers the full deployment and operational lifecycle of the Cortex XSIAM platform across four domains: planning and installation, integration and automation, content optimization, and maintenance and troubleshooting. The exam is delivered in-person only at Pearson VUE test centers and contains approximately 50 to 60 scenario-based questions in multiple-choice, matching, and ordering formats. The certification is valid for 2 years. No formal prerequisites are required, but practical experience with Cortex XSIAM, XSOAR, and security operations is strongly recommended.

Validate your ability to install, deploy, operate, and administer the Palo Alto Networks portfolio of network security products, including Next-Generation Firewalls, Prisma SASE, Panorama, and Cloud-Delivered Security Services.

Validate your understanding of the ITIL 5 framework for Digital Product and Service Management, including core terminology, the ITIL Service Value System, guiding principles, service value chain, four dimensions of management, the product and service lifecycle, value stream mapping, and the role of AI and complementary frameworks.

Validate advanced skills in applying comprehensive data engineering principles using Snowflake, including data movement, transformation, performance optimization, storage protection, and data governance across cloud platforms.

Validate advanced skills in operationalizing, scaling, and automating machine learning workflows within the Snowflake AI Data Cloud, including feature engineering, ML infrastructure management, model serving and deployment, CI/CD pipeline orchestration, and governance, security, and monitoring of production ML systems.

The SnowPro Core Certification (COF-C03) validates practical, hands-on experience with the Snowflake AI Data Cloud. It tests the ability to use Snowflake architecture, manage accounts and virtual warehouses, perform data loading, unloading, and transformation, work with structured, semi-structured, and unstructured data, monitor and optimize performance, enable data collaboration and protection, and establish Snowflake connectivity. COF-C03 launched in 2026 replacing COF-C02, adding coverage of Snowflake Cortex AI, Apache Iceberg Tables, Snowflake Notebooks, and Git integration. The exam consists of 100 multiple-choice and multiple-select questions with 115 minutes to complete. A passing score of 750 out of 1000 is required. No formal prerequisites exist, but Snowflake recommends 6 or more months of hands-on experience. The certification is valid for 2 years and is delivered through Pearson VUE (online proctored or testing center).

Validate your ability to deploy, configure, manage, and troubleshoot FortiGate next-generation firewalls running FortiOS 7.6, including firewall policies, authentication, content inspection, VPN, and routing in enterprise environments.

Validate your ability to deploy, manage, and troubleshoot Fortinet LAN Edge solutions including FortiSwitch, FortiAP, FortiLink, NAC, wireless security, RADIUS/LDAP authentication, captive portals, and Security Fabric integration.

Validate your expertise in building, managing, and deploying AI agents and solutions on Azure using Microsoft Foundry and Python, covering generative AI, agentic workflows, RAG, computer vision, text analysis, information extraction, and responsible AI practices.

Validate your ability to set up infrastructure for machine learning operations (MLOps) and generative AI operations (GenAIOps) solutions on Azure. Covers designing and implementing MLOps infrastructure with Azure Machine Learning, orchestrating model training and deployment, implementing GenAIOps with Microsoft Foundry, and optimizing generative AI systems including RAG performance and fine-tuning.

Validate your ability to design, implement, and manage end-to-end security controls across Azure, hybrid, and AI-enabled environments, covering identity and access governance, storage and network security, compute and AI workload protection, and security posture management using Microsoft Defender, Sentinel, and Security Copilot.

Validate your ability to design, build, and implement AI solutions on Azure, including containerized compute with ACR, Container Apps, and AKS, vector-enabled databases with Cosmos DB and PostgreSQL pgvector, event-driven AI pipelines with Service Bus and Event Grid, serverless functions, secret management with Key Vault, and distributed observability with OpenTelemetry.

Validate your expertise in designing and developing AI-enabled database solutions across Microsoft SQL platforms including SQL Server, Azure SQL, and SQL databases in Microsoft Fabric. Covers advanced T-SQL, database design, security, performance optimization, CI/CD with SQL Database Projects, Data API builder, vector search, embeddings, and retrieval-augmented generation (RAG).

Validate your ability as a business professional to recognize common cybersecurity threats such as phishing and social engineering, apply everyday security best practices including strong passwords and multifactor authentication, protect sensitive data according to organizational policies, and report and respond appropriately to security incidents. This fundamentals-level certification targets non-technical professionals like administrative staff, analysts, project managers, marketers, and salespeople who regularly handle sensitive data and interact across networks.

The DP-600 exam, officially titled Implementing Analytics Solutions Using Microsoft Fabric, validates subject matter expertise in designing, creating, and managing analytical assets such as semantic models, warehouses, and lakehouses. Candidates must demonstrate proficiency in preparing and enriching data for analysis, securing and maintaining analytics assets, and implementing and managing semantic models. The role requires querying and analyzing data using SQL, KQL, and DAX, and working across the Microsoft Fabric ecosystem including OneLake, Lakehouse, Warehouse, Apache Spark, Data Factory, Dataflows Gen2, Real-Time Intelligence, and Power BI. This is an associate-level (intermediate) certification that renews annually. The exam may include multiple-choice, case study, drag-and-drop, and interactive scenario-based questions. No formal prerequisites are required, though experience with data engineering or Power BI is recommended.

Validate your expertise as an AI-first solution architect in designing, planning, and deploying agentic AI-powered business solutions across the Microsoft ecosystem. Covers multi-agent orchestration with Copilot Studio and Microsoft Foundry, AI strategy and ROI analysis, responsible AI practices, Agent-to-Agent (A2A) and Model Context Protocol (MCP) integration, application lifecycle management for AI solutions, and securing AI models and data workflows across Dynamics 365 and Power Platform.

Validate your ability to apply the CPMAI (Cognitive Project Management in AI) methodology to manage AI and machine learning initiatives from inception through operationalization, covering responsible and trustworthy AI practices, identifying business needs and solutions, assessing data readiness, managing AI model development and evaluation, and operationalizing AI solutions. Completion of the PMI-CPMAI Exam Prep Course is required before scheduling the exam. Of the 120 questions, 20 are unscored pretest items. The exam uses PMI's psychometric pass/fail scoring model and does not publish a numeric passing score.

Validate your ability to design, configure, and optimize AI-powered agents on the Salesforce platform, including agent reasoning and behavior configuration, prompt engineering with Prompt Builder, Data Cloud integration for grounding, agent development lifecycle management, and multi-agent interoperability using Model Context Protocol.

Validate your ability to design, develop, deploy, and monitor real-time streaming applications using Apache Kafka and the Confluent ecosystem. Covers Kafka architecture and design patterns, Producer and Consumer client development, message serialization with Schema Registry, stream processing with Kafka Streams and ksqlDB, data integration with Kafka Connect, application security, performance tuning, and operational monitoring. The exam uses multiple-choice and multiple-response questions and does not cover Confluent Enterprise License or Confluent Cloud-exclusive features. Confluent recommends 6-12 months of hands-on experience with Confluent products and fluency in at least one programming language (Java, C#, Python, or Go), though no formal prerequisites are required.

Validate your ability to deploy, manage, and operate HashiCorp Vault for secrets management, encryption as a service, and secure access control. Covers authentication methods, Vault policies, token management, lease lifecycle, secrets engines (KV, PKI, Database, Transit), encryption as a service, Vault architecture fundamentals including seal/unseal and Shamir's Secret Sharing, deployment architecture for self-managed and HCP Vault clusters, and access management with Vault Agent and Vault Secrets Operator. The exam tests on Vault 1.16 and targets Cloud Engineers specializing in security, development, or operations. Question types include multiple choice, multiple answer, and true/false. The certification is valid for 2 years.

The HashiCorp Certified: Terraform Associate (004) certification validates foundational knowledge and skills in HashiCorp Terraform, the industry-leading Infrastructure as Code (IaC) tool for provisioning and managing cloud resources across multiple providers. The exam covers Terraform 1.12 and tests candidates on IaC concepts, core Terraform workflow (init, plan, apply, destroy), configuration language including variables, outputs, expressions, and functions, modules, state management, infrastructure maintenance, and HCP Terraform collaboration features. This version (004) launched January 8, 2026, replacing the retired 003 version.

Validate your ability to build, evaluate, productionize, and optimize ML and AI solutions on Google Cloud. Covers architecting low-code AI solutions with BigQuery ML and AutoML, managing data and models across teams, scaling prototypes into production ML models, serving and scaling models for real-time and batch inference, automating and orchestrating ML pipelines with Vertex AI, and monitoring AI solutions for drift, fairness, and performance. The 2026 exam reflects the transition to Gemini Enterprise Agent Platform and emphasizes generative AI, Model Garden, Vertex AI Agent Builder, and responsible AI practices. Recommended experience is 3+ years in industry including 1+ year designing and managing solutions on Google Cloud. The exam uses pass/fail scoring (no numeric score disclosed); the 70/100 threshold shown is a widely cited community estimate.

Validate your ability to guide generative AI strategy and adoption within an organization. This is a business-focused, non-technical certification covering gen AI fundamentals, Google Cloud's gen AI offerings including Gemini, Vertex AI, and Model Garden, techniques to improve model output such as prompt engineering and retrieval-augmented generation (RAG), and business strategies for a successful gen AI solution including responsible AI practices. The exam consists of 50-60 multiple-choice and multiple-select questions with 90 minutes to complete. Google Cloud uses pass/fail scoring with no numeric score disclosed; the 70/100 threshold shown is a widely cited community estimate. There are no prerequisites, and the certification is designed for any job role, not just technical practitioners. The certification is valid for 3 years.