Free, exam-style questions with detailed explanations across 94+ AI & cloud certifications — no sign-up. Score yourself, then close your gaps with a full course.
15 curated bundles group related certifications by technology and role. Buy a whole learning path together for a discounted bundle price instead of each exam separately — Udemy applies the bundle discount at checkout.
The three core AWS Associate certs — architect, developer and sysops — the classic path to AWS credibility.
3 courses · discounted bundle price at Udemy checkout
From AI fundamentals to building GenAI apps and engineering ML on AWS — Bedrock, SageMaker and production ML.
3 courses · discounted bundle price at Udemy checkout
Build the data foundation, then the models on top — AWS data pipelines paired with ML engineering.
2 courses · discounted bundle price at Udemy checkout
Associate to professional coverage of LLMs, prompt engineering and multimodal GenAI on the NVIDIA stack.
3 courses · discounted bundle price at Udemy checkout
Stand up and run NVIDIA AI infrastructure end to end — infrastructure, operations and agentic AI at professional level.
3 courses · discounted bundle price at Udemy checkout
GPU-accelerated data science from associate to professional — cuDF, RAPIDS and scalable GPU pipelines.
2 courses · discounted bundle price at Udemy checkout
Build Azure AI apps and agents (AI-103), then operate them in production with MLOps and GenAIOps (AI-300).
2 courses · discounted bundle price at Udemy checkout
The non-engineering AI track — AI business fundamentals plus leading an AI transformation with Microsoft AI.
2 courses · discounted bundle price at Udemy checkout
The three Google Cloud professional exams — architect, data engineer and ML engineer — on one platform.
3 courses · discounted bundle price at Udemy checkout
Get grounded on Google Cloud — the Associate Cloud Engineer cert plus GenAI leadership fundamentals.
2 courses · discounted bundle price at Udemy checkout
A vendor-neutral security progression — networking (Network+), core security (Security+) and AI security (SecAI+).
4 courses · discounted bundle price at Udemy checkout
The credentials for responsible-AI roles — IAPP AIGP, ISACA Advanced in AI Risk and PMI managing-AI.
3 courses · discounted bundle price at Udemy checkout
The AIPMM product-management pair — digital product management foundations and the certified product manager body of knowledge.
2 courses · discounted bundle price at Udemy checkout
Microsoft security from fundamentals to the SOC — Security, Compliance & Identity (SC-900) then Security Operations Analyst (SC-200).
2 courses · discounted bundle price at Udemy checkout
ISACA security management — Certified Information Security Manager (CISM) plus Advanced in AI Security Management (AAISM).
2 courses · discounted bundle price at Udemy checkout
Foundational AWS AI/ML and generative AI
EU AI Act, NIST AI RMF, ISO/IEC 42001
Bedrock, RAG and production GenAI on AWS
AI security: MITRE ATLAS, OWASP LLM Top 10
IAM, detection, data protection and AI guardrails
Enterprise AI risk programs and governance
Vector Search, MLflow, Model Serving and RAG
Transformers, prompt engineering and the NVIDIA stack
Agentforce agents, Prompt Builder and Data Cloud grounding
Building, deploying and evaluating apps with Claude
Security concepts, threats and SecOps for SY0-701
Secure, resilient and cost-optimized AWS architectures
MLOps infrastructure and model lifecycle on Azure
GenAI fundamentals and Google Cloud's GenAI stack
Deploying and administering NVIDIA AI infrastructure
Azure AI apps, agents and generative AI solutions
GPU-Accelerated Data Manipulation and Preparation, ETL and Scalable GPU Pipelines
OpenUSD Fundamentals and Data Modeling, Composition and Composition Arcs
Digital Product Management Foundations, Customer Discovery, JTBD, and Design Thinking
Product Management Foundations and the ProdBOK Life Cycle, Market Research and Competitive Analysis
Agent Design and Cognition, Orchestration and Multi-Agent Systems
LLM Foundations and Architecture, Prompt Engineering and Adaptation
Data Preparation for Machine Learning (ML), ML Model Development
Architecting low-code AI solutions, Collaborating to manage data and models
System and Server Bring-up, Server and Network Installation and Configuration
GPU-Accelerated Data Science Fundamentals, Data Preparation and Manipulation with cuDF
Core Machine Learning and AI Knowledge, Experimentation
Support Responsible and Trustworthy AI Efforts, Identify Business Needs and Solutions
FDE Mindset and Problem Structuring, Production Python, Backend Development, and API Design
Data Ingestion and Transformation, Data Store Management
Setting Up a Cloud Solution Environment, Planning and Configuring a Cloud Solution
Maintain a data analytics solution, Prepare data
Designing data processing systems, Ingesting and processing the data
Understand generative AI fundamentals, Manage prompts and conversations by using AI
Business value of generative AI, Microsoft AI apps and services
Development with AWS Services, Security
Designing and planning a cloud solution architecture, Managing and provisioning a solution infrastructure
Understand infrastructure as code (IaC) concepts, Understand Terraform's purpose (vs other IaC)
Design identity, governance, and monitoring solutions, Design data storage solutions
Monitoring, Logging, and Remediation, Reliability and Business Continuity
Networking Fundamentals, Network Implementations
Mobile Devices, Networking
Operating Systems, Security
Manage Azure identities and governance, Implement and manage storage
Develop Azure compute solutions, Develop for Azure storage
AI Data Center Network Design and Optimization, InfiniBand Fabric Configuration and Management
Cloud Concepts, Security and Compliance
Network Fundamentals, Network Access
Identify AI concepts and responsibilities, Implement AI solutions by using Microsoft Foundry
Essential AI Knowledge, AI Infrastructure
Describe cloud concepts, Describe Azure architecture and services
Intro to AI Foundations, Intro to Machine Learning Foundations
Databricks Machine Learning, ML Workflows
AI Infrastructure Basics, Pre-Deployment Planning and Site Assessment
Cloud Concepts, Architecture and Design, Cloud Data Security
Configuring Access, Securing Communications and Boundary Protection
Fundamentals of Large Language Models, Using the OCI Generative AI Service
Model Development, MLOps
Domain 1: AI Governance and Program Management, Domain 2: AI Risk Management
Manage a security operations environment, Configure protections and detections
Describe the concepts of security, compliance, and identity, Describe the capabilities of Microsoft Entra
Governance, Risk, and Compliance, Security Architecture
Domain 1: Information Security Governance, Domain 2: Information Security Risk Management
Domain 1: Security Principles, Domain 2: Incident Response, Business Continuity, and Disaster Recovery Concepts
Information Security and Ethical Hacking Overview, Reconnaissance Techniques
Security Concepts, Security Monitoring
Implement and manage user identities, Implement authentication and access management
Domain 1: Security Concepts and Practices, Domain 2: Access Controls
Manage identity, access, and governance, Secure storage, databases, and networking
Domain 1: Information Systems Auditing Process, Domain 2: Governance and Management of IT
Domain 1: Governance, Domain 2: IT Risk Assessment
Domain 1: Design solutions that align with security best practices and priorities, Domain 2: Design security operations, identity, and compliance capabilities
Domain 1: Cloud Computing Concepts and Architectures, Domain 2: Cloud Governance
Domain 1: Introduction to the U.S. Privacy Environment, Domain 2: Limits on Private-sector Collection and Use of Data
Domain 1: Security Concepts, Domain 2: Network Security
Domain 1: Core Concepts, Domain 2: Deploy and Configure Core Components
Deployment and System Configuration, Firewall Policies and Network Address Translation (NAT)
Cluster Setup, Cluster Hardening
1.0 Network, 2.0 Compute
vSphere Architecture and vCenter/ESXi Foundations, Virtual Networking
Defense-in-Depth and Defensible Network Architecture, Cryptography and PKI
Operationalizing ML Models, Understanding the AI Problem
Security Operations, Vulnerability Management
Databricks Intelligence Platform, Data Ingestion and Loading
Modeling, Analysis, and Outcomes, Machine Learning
AI/ML Workloads and Cluster Patterns, High-Performance AI Networking
Engagement Management, Reconnaissance and Enumeration
Explore data and train models, Design and prepare a machine learning solution
GitHub Copilot Plans and Features, How GitHub Copilot Works and Handles Data
AI Operations, AI Governance and Risk
Security and Risk Management, Asset Security
Analyze and Design a Generative AI Solution, Prompt Engineering
Design AI-powered business solutions, Plan AI-powered business solutions
Snowflake Gen AI and LLM Concepts, Snowflake Cortex AI Features
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