AWS Certified Solutions Architect - Professional
Validates advanced technical skills and experience in designing distributed systems on AWS. Covers complex multi-account architectures, migrations, hybrid connectivity, cost optimization, and organizational complexity.
Recommended: 2+ years of hands-on experience designing and deploying cloud architecture on AWS, plus experience with AWS CLI, AWS APIs, CloudFormation templates, the AWS Billing Console, the AWS Management Console, a scripting language, and Windows and Linux environments
AWS Certified Solutions Architect - Associate
Validates ability to design and implement distributed systems on AWS. Covers secure, resilient, high-performing, and cost-optimized architectures using AWS services.
Recommended: 1 year of hands-on experience designing available, cost-efficient, fault-tolerant, and scalable distributed systems on AWS
AWS Certified Developer - Associate
Validates ability to develop, deploy, and debug cloud-based applications using AWS. Covers application development, security implementation, deployment automation, and troubleshooting.
Recommended: 1+ years of hands-on experience developing and maintaining AWS-based applications
AWS Certified Data Engineer - Associate
Validates ability to design, build, and maintain data pipelines on AWS. Covers data ingestion, transformation, storage optimization, security, and governance using AWS data analytics services.
Recommended: 2-3 years of experience with data engineering concepts and 1-2 years of hands-on experience with AWS services for data analytics
AWS Certified CloudOps Engineer - Associate
Validates ability to deploy, manage, and operate scalable, highly available, and fault-tolerant systems on AWS. Covers monitoring, logging, remediation, reliability, automation, security, and cost optimization.
Recommended: 1+ year of experience deploying, managing, and operating workloads on AWS, plus experience in a related operations role
AWS Certified Machine Learning Engineer - Associate
Validates ability to build, deploy, and maintain machine learning solutions using AWS services. Covers data preparation, model development, deployment orchestration, and ML solution monitoring and security.
Recommended: 1+ year experience with Amazon SageMaker and AWS ML services, plus 1+ year in a related role (data engineer, data scientist, or ML developer)
AWS Certified Cloud Practitioner
Foundational certification that validates overall understanding of AWS Cloud, basic cloud concepts, AWS services, security, architecture, pricing, and support. Ideal for individuals in technical, managerial, sales, purchasing, or financial roles.
Recommended: 6 months of exposure to AWS Cloud, basic understanding of IT services and their uses in the AWS Cloud platform
AWS Certified Generative AI Developer - Professional
Validates advanced skills in integrating foundation models into applications using Amazon Bedrock, RAG architectures, prompt engineering, AI safety, and operational optimization for production GenAI workloads.
Recommended: 2+ years of experience developing on AWS, 1+ year of hands-on experience with generative AI implementations, and familiarity with Amazon Bedrock, vector databases, and foundation model integration patterns
Google Cloud Generative AI Leader
Validates business and technical understanding of generative AI technologies and their applications in enterprise settings. Focuses on strategic decision-making, implementation approaches, and responsible AI practices for organizational leaders.
Recommended: Business or technical leadership experience with understanding of AI/ML concepts and cloud technologies
CompTIA SecurityX (formerly CASP+)
Advanced cybersecurity certification for security architects and senior security engineers. Validates skills to design, build, and implement secure solutions across complex enterprise environments while addressing governance, risk, and compliance needs. Emphasizes Zero Trust architectures, cloud security, automation, and incident response.
Recommended: Minimum 10 years of IT administration experience, including at least 5 years of hands-on technical security experience
CompTIA A+ Core 1
Entry-level IT certification covering mobile devices, networking, hardware, virtualization & cloud computing, and hardware/network troubleshooting. Version 15 (V15) validates essential skills for IT support specialists including installation, configuration, and maintenance of hardware components and mobile devices.
Recommended: Recommended 9-12 months of hands-on experience in a lab or field environment
CompTIA A+ Core 2
Entry-level IT certification covering operating systems (Windows, macOS, Linux), security, software troubleshooting, and operational procedures. Version 15 (V15) validates essential skills for IT support specialists including OS management, security implementation, and professional customer service.
Recommended: Recommended 9-12 months of hands-on experience in a lab or field environment
CompTIA Linux+
Advanced Linux administration certification validating skills in configuring, managing, securing, and troubleshooting Linux systems. Version 8 (V8) emphasizes automation, orchestration, scripting, containerization, and hybrid cloud environments. Covers system management, security hardening, service configuration, and modern DevOps practices.
Recommended: 12 months of hands-on experience working with Linux servers in enterprise environments
CompTIA Cloud+
Intermediate cloud infrastructure certification validating skills in deploying, optimizing, and protecting mission-critical applications and data storage across multi-cloud and hybrid environments. Covers cloud architecture, security, deployment, operations, troubleshooting, and DevOps fundamentals.
Recommended: 2-3 years of experience in IT systems administration with cloud technologies
CompTIA Cybersecurity Analyst (CySA+)
Intermediate cybersecurity certification validating skills in detecting, preventing, and combating cybersecurity threats. Focuses on behavioral analytics, threat detection, security monitoring, incident response, and vulnerability management using security tools and techniques.
Recommended: 3-4 years of hands-on experience as incident response analyst or security operations center (SOC) analyst
CompTIA Network+
Intermediate networking certification validating skills in designing, configuring, managing, and troubleshooting wired and wireless networks. Covers networking concepts, infrastructure, network operations, security, and troubleshooting with emphasis on cloud, virtualization, and modern network technologies.
Recommended: 9-12 months of hands-on experience working with network infrastructure
CompTIA PenTest+
Intermediate penetration testing certification validating hands-on skills in planning, scoping, conducting, and reporting penetration tests. Covers vulnerability assessment, exploitation techniques, post-exploitation activities, and communication of findings to stakeholders.
Recommended: 3-4 years of hands-on experience in information security with emphasis on penetration testing
NVIDIA-Certified Professional: Agentic AI
Validates ability to architect, develop, deploy, and govern advanced agentic AI solutions. Focuses on multi-agent interaction, distributed reasoning, scalability, and ethical safeguards across comprehensive AI system implementations.
Recommended: Strong knowledge of agent development, architecture, and orchestration, multi-agent frameworks expertise, tool and model integration across platforms
NVIDIA-Certified Professional: Generative AI LLMs
Intermediate-level certification validating ability to design, train, and fine-tune cutting-edge LLMs, applying advanced distributed training techniques and optimization strategies to deliver high-performance AI solutions in production environments.
Recommended: Strong knowledge of LLM architectures, distributed training, model optimization, containerization, and NVIDIA AI platforms. Experience with production LLM deployment and performance profiling.
NVIDIA-Certified Associate: Generative AI with LLMs
Entry-level certification validating foundational knowledge of developing, integrating, and maintaining AI-driven applications using generative AI and large language models with NVIDIA solutions.
Recommended: Basic ML/AI knowledge, Python programming, understanding of neural networks and transformer architecture fundamentals