Certifications

Prepare for IT certifications (40+)

Realistic practice exams aligned to official exam objectives, with AI explanations and readiness analytics.

Amazon Web Services

Associate

AWS Certified Developer Associate (DVA-C02)

Develop and maintain applications on the AWS platform

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Professional

AWS Certified DevOps Engineer - Professional (DOP-C02)

Professional-level certification that validates technical expertise in provisioning, operating, and managing distributed systems and services on AWS. For individuals performing a DevOps engineer role with 2+ years of experience provisioning, operating, and managing AWS environments, along with experience in software development lifecycle and programming/scripting.

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Associate

AWS Certified Solutions Architect Associate (SAA-C03)

Design resilient, high-performing, secure, and cost-optimized architectures

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Associate

AWS Certified Machine Learning Engineer - Associate (MLA-C01)

Associate-level certification that validates technical ability in implementing ML workloads in production and operationalizing them. For individuals with at least 1 year of experience using Amazon SageMaker and other AWS services for ML engineering, along with at least 1 year of experience in a related role such as backend software developer, DevOps developer, data engineer, or data scientist.

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Professional

AWS Certified Solutions Architect - Professional (SAP-C02)

Professional-level certification that validates advanced technical skills and experience in creating optimized AWS solutions based on the AWS Well-Architected Framework. For individuals performing a solutions architect role with 2+ years of experience using AWS services to design and implement cloud solutions, with the ability to evaluate cloud application requirements and make architectural recommendations for deploying applications on AWS, and provide specialized guidance on architectural design across multiple applications and projects in a complex organization.

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Specialty

AWS Certified Security - Specialty (SCS-C03)

Validates ability to effectively protect AWS cloud solutions and services. For professionals responsible for securing cloud solutions with 3-5 years of experience in protecting cloud solutions.

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Foundational

AWS Certified AI Practitioner (AIF-C01)

Foundational-level certification that validates general knowledge of AI/ML, generative AI technologies, and corresponding AWS services and tools, regardless of specific job role. For individuals who can effectively demonstrate overall understanding of AI/ML and generative AI. Candidates should have up to six months of exposure to AI/ML technologies on AWS and should use, but not necessarily create, AI/ML solutions on AWS.

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Foundational

AWS Certified Cloud Practitioner (CLF-C02)

Foundational-level certification that validates general knowledge of the AWS Cloud, regardless of specific job role. Intended for individuals who can effectively demonstrate overall understanding of the AWS Cloud. Candidates should have up to six months of exposure to AWS Cloud design, implementation, and/or operations.

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Professional

AWS Certified Generative AI Developer - Professional (AIP-C01)

Professional-level certification that validates ability to effectively integrate foundation models (FMs) into applications and business workflows. Demonstrates practical knowledge of implementing GenAI solutions into production environments using AWS technologies. For individuals with 2+ years of experience building production-grade applications on AWS or with open-source technologies, general AI/ML or data engineering experience, and 1 year of hands-on experience implementing GenAI solutions.

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Specialty

AWS Certified Advanced Networking - Specialty (ANS-C01)

Validates ability to design, implement, manage, and secure AWS and hybrid network architectures at scale. For individuals performing an AWS networking specialist role with 5+ years of networking experience and 2+ years of cloud and hybrid networking experience.

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Associate

AWS Certified Data Engineer - Associate (DEA-C01)

Design, build, and maintain data engineering solutions

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Databricks

Associate

Databricks Certified Machine Learning Associate

Assesses ability to use Databricks to perform basic machine learning tasks. Includes understanding and using Databricks and its ML capabilities like AutoML, Unity Catalog, and select features of MLflow. Also assesses exploring data and performing feature engineering; model building through training, tuning, evaluation and selection; and deploying machine learning models. Individuals who pass can be expected to complete basic ML tasks using Databricks and its associated tools.

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Associate

Databricks Certified Generative AI Engineer Associate

Assesses ability to design and implement LLM-enabled solutions using Databricks. Includes problem decomposition to break down complex requirements into manageable tasks and choosing appropriate models, tools, and approaches from the current generative AI landscape for developing comprehensive solutions. Also assesses Databricks-specific tools such as Vector Search for semantic similarity searches, Model Serving for deploying models and solutions, MLflow for managing solution lifecycle, and Unity Catalog for data governance. Individuals who pass can be expected to build and deploy performant RAG applications and LLM chains that take full advantage of Databricks and its toolset.

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Associate

Databricks Certified Data Analyst Associate

Evaluates proficiency with the Databricks Data Intelligence Platform for introductory data analysis tasks. Assessing ability to manage data with Unity Catalog including discovering, querying, cleaning, and managing certified datasets; import data by utilizing various methods such as the UI, S3 ingestion, Delta Sharing for external systems, API-driven intake, Auto Loader, and the Marketplace feature; and execute and optimize queries for Data Analysis including creating views, performing aggregate operations, combining tables with joins, filtering, sorting, and analyzing queries using auditing, history, logs, and Liquid clustering features.

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Associate

Databricks Certified Associate Developer for Apache Spark

Assesses understanding of the Apache Spark Architecture and Components and the ability to apply the Spark DataFrame API to complete basic data manipulation tasks within a Spark session. These tasks include selecting, renaming and manipulating columns; filtering, dropping, sorting, and aggregating rows; handling missing data; combining, reading, writing and partitioning DataFrames with schemas; and working with UDFs and Spark SQL functions. In addition, the exam assesses the basics of the Spark architecture like execution and deployment modes, the execution hierarchy, fault tolerance, garbage collection, lazy evaluation, shuffling and usage of Actions and broadcasting, Structured Streaming, Spark Connect, and common troubleshooting and tuning techniques. Individuals who pass can be expected to complete basic Spark DataFrame tasks using Python.

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Associate

Databricks Certified Data Engineer Associate

Assesses ability to use the Databricks Data Intelligence Platform to complete introductory data engineering tasks. Includes understanding of the Data Intelligence Platform, its workspace, architecture, and capabilities; performing ETL tasks using Apache Spark SQL or PySpark (extraction, complex data handling, user-defined functions); and deploying and orchestrating workloads with Databricks workflows, configuring and scheduling jobs effectively. Individuals who pass can be expected to complete basic data engineering tasks using Databricks and its associated tools.

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Google Cloud

Fundamentals

Google Cloud Digital Leader

Articulate the capabilities of Google Cloud core products and services and how they benefit organizations. Describe common business use cases and how cloud solutions support an enterprise. Demonstrate knowledge of cloud computing basics and how Google Cloud products and services can be used to achieve an organization's goals.

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Professional

Google Cloud Professional Cloud Developer

Build and deploy scalable, secure, and highly available applications using Google-recommended tools and best practices. Validates expertise with cloud-native applications, containerized applications, APIs, developer tools, orchestration tools, managed services, test strategies, serverless platforms, and next-generation databases. Requires proficiency with at least one general-purpose programming language and ability to instrument code to produce metrics, logs, and traces.

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Associate

Google Cloud Associate Cloud Engineer

Deploy and secure applications, services, and infrastructure, monitor operations of multiple projects, and maintain enterprise solutions to ensure they meet target performance metrics. Validates ability to perform common platform-based tasks to maintain and scale deployed solutions that leverage Google-managed or self-managed services on Google Cloud.

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Professional

Google Cloud Professional Machine Learning Engineer

Build, evaluate, productionize, and optimize AI solutions using Google Cloud capabilities and knowledge of conventional ML approaches. Handle large, complex datasets and create repeatable, reusable code. Design and operationalize generative AI solutions based on foundational models. Consider responsible AI practices and collaborate closely with other job roles to ensure the long-term success of AI-based applications. Enable teams across the organization to use AI solutions by training, retraining, deploying, scheduling, monitoring, and improving models to design and create scalable, performant solutions.

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Microsoft Azure

Fundamentals

Microsoft Certified: Azure Fundamentals (AZ-900)

Demonstrate foundational knowledge of cloud concepts in general and Microsoft Azure in particular. Validates understanding of Azure architectural components, Azure services (compute, networking, storage), and features and tools to secure, govern, and administer Azure.

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Associate

Microsoft Certified: Fabric Data Engineer Associate (DP-700)

Demonstrate subject matter expertise with data loading patterns, data architectures, and orchestration processes. Validates expertise in ingesting and transforming data, securing and managing analytics solutions, and monitoring and optimizing analytics solutions using Microsoft Fabric.

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Fundamentals

Microsoft Certified: Azure Data Fundamentals (DP-900)

Demonstrate foundational knowledge of core data concepts and related Microsoft Azure data services. Validates understanding of relational and non-relational data concepts, different types of data workloads (transactional and analytical), and Azure data services for data storage, processing, and analytics.

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Associate

Microsoft Certified: Azure Administrator Associate (AZ-104)

Demonstrate key skills to configure, manage, secure, and administer key professional functions in Microsoft Azure. Validates expertise in implementing, managing, and monitoring an organization's Microsoft Azure environment, including virtual networks, storage, compute, identity, security, and governance.

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Associate

Microsoft Certified: Azure AI Engineer Associate (AI-102)

Validates ability to design and implement Azure AI solutions using Azure AI services, Azure AI Search, and Azure OpenAI. For professionals who build, manage, and deploy AI solutions that leverage Azure AI.

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Associate

Microsoft Certified: Azure Developer Associate (AZ-204)

Build end-to-end solutions in Microsoft Azure to create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, and more. Validates expertise in participating in all phases of development including requirements gathering, design, development, deployment, security, maintenance, performance tuning, and monitoring.

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Fundamentals

Microsoft Certified: Azure AI Fundamentals (AI-900)

Demonstrate fundamental AI concepts related to the development of software and services of Microsoft Azure to create AI solutions. Validates foundational knowledge of machine learning and AI concepts and related Microsoft Azure services.

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Associate

Microsoft Certified: Azure Network Engineer Associate (AZ-700)

Design and implement a secure network infrastructure in Azure and establish hybrid connectivity, routing, private access to Azure services, and monitoring in Azure. Validates expertise in planning, implementing, and managing Azure networking solutions including core network infrastructure, hybrid connectivity, application delivery services, private access to Azure services, and network security.

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Associate

Microsoft Certified: Azure Security Engineer Associate (AZ-500)

Demonstrate the skills needed to implement security controls, maintain an organization's security posture, and identify and remediate security vulnerabilities. Validates expertise in implementing, managing, and monitoring security for resources in Azure, multi-cloud, and hybrid environments using Microsoft Defender for Cloud and other tools.

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