Pass your AWS or Azure certification — with a free AI tutor, no subscription.

Master cloud networking end to end — the specialty cert for engineers designing and running complex AWS network architectures. Cover network design, implementation, management and operation, and network security, compliance, and governance, with an AI tutor and specialty-level practice. For network engineers building hybrid and large-scale AWS connectivity.

Speak AI with credibility — the foundational AWS cert that proves practical AI and generative-AI literacy, no engineering background required. Learn the fundamentals of AI and machine learning, generative AI and foundation models, responsible-AI guidelines, security and governance, and the core AWS AI services, with an AI tutor and real-format practice. For product, business, and technical professionals adding AI to their toolkit.

Run production AWS with confidence — the operations cert for engineers who keep cloud systems reliable, secure, and cost-efficient. Spanning monitoring and remediation, reliability and business continuity, deployment and automation, security, networking, and cost optimization, with an AI tutor and real-format practice. For SysOps and CloudOps engineers operating live AWS workloads.

The widely-recognized first step into AWS — prove real cloud fluency without writing a line of code. Master all four exam domains: cloud concepts and architecture, security and compliance, core AWS services, and billing and pricing — with an AI tutor, a full question bank, real-format mock exams, and flashcards. Built for career-switchers and for sales, finance, and project roles that need credible AWS literacy fast.

Turn raw data into pipelines that ship — the AWS cert for engineers building and running cloud data platforms. Master data ingestion and transformation, data-store management, data operations and support, and data security and governance, with an AI tutor and real-format practice. For data engineers working across AWS analytics services.

Prove you can build, ship, and debug on AWS — the associate cert for cloud developers. Cover development with core AWS services, security, deployment, and troubleshooting and optimization, backed by an AI tutor, real-format mock exams, and an endless question bank. For developers building serverless and cloud-native apps.

Comprehensive AWS Certified DevOps Engineer - Professional (DOP-C02) hive provides study notes, question bank with practice tests, flashcards, and hands-on labs, all supported by a personal AI tutor to help you master the AWS Certified DevOps Engineer - Professional (DOP-C02) certification.

Ship machine learning that runs in production — take models from data to deployment on AWS. Cover data preparation, model development, deployment and orchestration of ML workflows, and monitoring, maintenance, and security, with an AI tutor and real-format mock exams. For ML engineers building end-to-end workflows on AWS.

Specialize in protecting AWS at enterprise scale — the cert that proves you can secure regulated, high-stakes cloud workloads. Go deep on threat detection, incident response, infrastructure security, identity and access management, data protection, and governance, with an AI tutor and specialty-level mock exams. For security engineers hardening production AWS.

The go-to AWS credential for engineers moving into cloud architecture — design systems that are secure, resilient, high-performing, and cost-aware. Work through all four SAA-C03 design domains with an AI tutor, blueprint-weighted mock exams, and a question bank that never recycles the same five questions. For engineers stepping into solution-design roles.

Step up to senior AWS architecture — lead multi-account, enterprise-scale cloud design and migration. Tackle organizational complexity, new-solution design, continuous improvement of existing solutions, and workload migration and modernization, with an AI tutor and professional-level mock exams. For experienced architects ready for the profession's most demanding AWS cert.

Most AZ-400 material is out of date. Microsoft revised the exam on 27 July 2026 — build and release pipelines now carry 50–55% of the marks — while popular guides still teach Azure AD, secret-based service connections, and task groups that YAML pipelines do not support. This hive was written against Microsoft Learn and GitHub's own documentation, current to August 2026. Disclaimer: an independent study resource, not affiliated with or endorsed by Microsoft. Content is AI-authored and grounded in first-party documentation; it has not been reviewed by a certified human subject-matter expert. 📚 What We Cover: All 86 exam objectives across the five current domains — processes and communications, source control, build and release pipelines, security and compliance, and instrumentation. 🛠️ Key Features: Blueprint-Weighted Mocks: 6 full-length exams cut to Microsoft's published domain ranges — 7/6/27/6/4 across 50 questions, 120 minutes, 70% benchmark. Every Question Format: 419 questions across multiple choice, multiple answer, true/false, matching and ordering — because a third of the real exam is multi-select. Scenario Practice: 6 architecture case studies, each a full scenario with four linked questions. Sourced, Not Guessed: every question cites first-party Microsoft or GitHub documentation. Depth on Demand: 453 flashcards, 194 lessons, quick notes and cram sheets, plus 16 topic quizzes and 5 unit checkpoints. Current Where It Counts: Microsoft Entra ID, GitHub Advanced Security for Azure DevOps, workload identity federation, Azure Machine Configuration, and Azure Deployment Environments.

Design Azure like an architect, not an administrator — the expert-level cert behind the Azure Solutions Architect credential. Cover identity, governance, and monitoring; data storage; business continuity; and infrastructure solutions, with an AI tutor, six blueprint-weighted mock exams, and 24 original case studies that drill the trade-off calls the real exam asks. For Azure administrators stepping up to architect.

Master generative AI, RAG architectures, multi-agent systems, Microsoft Foundry, and Azure AI services. Aligned with the official Microsoft AI-103 certification syllabus.

The exam that replaced AI-900 — and most prep online still teaches the retired one. Cover both skill areas as Microsoft writes them today: AI concepts and responsible AI, then hands-on Microsoft Foundry — agents, prompts, speech, vision, Content Understanding — now 55–60% of the paper. With an AI tutor, 12 blueprint-weighted mock exams, and a question bank written against current docs. Expects some Python.

Your entry point to the Microsoft cloud — the standard starting credential for Azure roles. Cover cloud concepts, core Azure architecture and services, and Azure management and governance, with an AI tutor and real-format practice. No prior cloud experience needed.

Conquer second-semester calculus — integration techniques, infinite series, and parametric curves — with an AI tutor that shows every step. Cover integration and transcendental functions, techniques of integration, sequences and infinite series, power series, parametric and polar coordinates, applications of integration, and an introduction to differential equations, with worked practice and instant feedback. For STEM students building toward multivariable calculus.

Master the differential toolkit every STEM and engineering degree gates on — with an AI tutor that shows every step. From functions, graphs, and limits through derivatives and their applications to an introduction to integration, with worked practice and instant feedback. For students who want to understand calculus, not just pass it.