Certifications
Industry-recognized credentials across cloud, DevOps, and security
AWS Certified
DevOps Engineer – Professional
Issued Jan 2026
AWS DevOps Engineer – Professional
Advanced DevOps Implementation & Operations
Core Competencies
- Implement and manage continuous delivery systems and methodologies on AWS
- Implement and automate security controls, governance processes, and compliance validation
- Define and deploy monitoring, metrics, and logging systems on AWS
- Implement systems that are highly available, scalable, and self-healing on AWS
- Design, manage, and maintain tools to automate operational processes
Key Technical Skills
- CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy, and third-party tools
- Infrastructure as Code with CloudFormation, CDK, and Terraform
- Container orchestration with ECS, EKS, and Fargate
- Automated incident response and remediation
- Configuration management with Systems Manager, OpsWorks, and third-party tools
- Monitoring and observability with CloudWatch, X-Ray, and third-party solutions
AWS Certified
Developer – Associate
Issued Jan 2026
AWS Developer – Associate
Cloud-Native Application Development
Core Competencies
- Develop, deploy, and debug cloud-based applications using AWS
- Use AWS SDKs to interact with AWS services
- Write code for serverless applications
- Understand key features of AWS services and use of AWS service APIs
Key Technical Skills
- Serverless development with Lambda, API Gateway, and Step Functions
- Container-based applications using ECS and EKS
- Database integration with DynamoDB, RDS, and Aurora
- Event-driven architectures with SNS, SQS, and EventBridge
- Application security with IAM, Cognito, and Secrets Manager
- Debugging and optimization with CloudWatch, X-Ray, and CloudTrail
AWS Certified
Data Engineer – Associate
Issued Jan 2026
AWS Data Engineer – Associate
Data Pipeline & Analytics Solutions
Core Competencies
- Design, build, and maintain data pipelines and architectures
- Implement data ingestion and transformation solutions
- Orchestrate and automate data workflows
- Ensure data quality, governance, and security
- Optimize data storage and retrieval for analytics
Key Technical Skills
- Data lakes with S3, Lake Formation, and Glue
- ETL pipelines using Glue, EMR, and Step Functions
- Stream processing with Kinesis Data Streams and Kinesis Data Firehose
- Data warehousing with Redshift and Redshift Spectrum
- Analytics with Athena, QuickSight, and OpenSearch
- Data governance and cataloging with Glue Data Catalog
AWS Certified
CloudOps Engineer – Associate
Issued Jan 2026
AWS CloudOps Engineer – Associate
Cloud Operations & Infrastructure Management
Core Competencies
- Deploy, manage, and operate scalable, highly available systems on AWS
- Implement and control the flow of data to and from AWS
- Select the appropriate AWS service based on compute, data, or security requirements
- Estimate AWS usage costs and identify operational cost control mechanisms
- Migrate on-premises workloads to AWS
Key Technical Skills
- EC2, Auto Scaling, and Elastic Load Balancing
- VPC networking, security groups, and NACLs
- S3, EBS, and EFS storage solutions
- RDS, DynamoDB, and database management
- CloudWatch for monitoring and alerting
- IAM for security and access management
- AWS Well-Architected Framework principles
AWS Certified
Cloud Practitioner
Issued Jan 2026
AWS Cloud Practitioner
Cloud Computing Fundamentals
Core Competencies
- Understand cloud concepts and AWS global infrastructure
- Describe basic AWS Cloud architectural principles
- Understand AWS Cloud security and compliance concepts
- Understand AWS Cloud deployment and operational models
- Understand AWS Cloud billing and pricing models
Key Technical Skills
- AWS core services: EC2, S3, RDS, VPC, Lambda
- AWS Global Infrastructure: Regions and Availability Zones
- Shared Responsibility Model and AWS compliance
- AWS pricing calculator and cost management tools
- AWS Support plans and resources
- Basic security best practices and IAM fundamentals
AWS Certified
AI Practitioner
Issued Jan 2026
AWS AI Practitioner
Artificial Intelligence on AWS
Core Competencies
- Understand AI and ML fundamentals on AWS
- Implement AI services for vision, speech, and language
- Build and deploy machine learning models
- Apply responsible AI practices
- Understand AI/ML solution architectures on AWS
Key Technical Skills
- Amazon Rekognition for image and video analysis
- Amazon Transcribe and Polly for speech services
- Amazon Comprehend for NLP and text analytics
- Amazon SageMaker for ML model development
- Amazon Bedrock for generative AI applications
- AI/ML pipeline orchestration and deployment
CNCF
Kubernetes and Cloud Native Security Associate (KCSA)
Issued Dec 2025
KCSA - Kubernetes Security Associate
Cloud Native Security Fundamentals
Core Competencies
- Understand cloud native security principles and practices
- Implement Kubernetes security controls and best practices
- Secure container images and supply chains
- Configure network policies and segmentation
- Implement authentication and authorization mechanisms
Key Technical Skills
- Kubernetes RBAC (Role-Based Access Control)
- Pod Security Standards and admission controllers
- Network policies and service mesh security
- Secrets management and encryption at rest
- Container image scanning and vulnerability management
- Runtime security monitoring and threat detection
- Supply chain security and artifact verification
CNCF
Kubernetes and Cloud Native Associate (KCNA)
Issued Dec 2025
KCNA - Kubernetes and Cloud Native Associate
Cloud Native Ecosystem & Kubernetes Basics
Core Competencies
- Understand cloud native architecture and principles
- Grasp Kubernetes fundamentals and architecture
- Comprehend container orchestration concepts
- Navigate the CNCF ecosystem and landscape
- Apply cloud native best practices
Key Technical Skills
- Kubernetes architecture: control plane, nodes, pods
- Container basics and containerization with Docker
- Cloud native application design patterns
- Service discovery and load balancing
- Observability: logging, monitoring, and tracing
- GitOps and continuous delivery workflows
- CNCF projects: Prometheus, Envoy, Helm, and more
CNCF
Certified Kubernetes Administrator (CKA)
Projected Feb 2026
CKA - Certified Kubernetes Administrator
Production Cluster Management & Operations
Core Competencies
- Install, configure, and manage Kubernetes clusters
- Manage cluster architecture, installation, and configuration
- Perform cluster maintenance and upgrades
- Troubleshoot cluster and application issues
- Implement workload scheduling and resource management
Key Technical Skills
- Cluster installation with kubeadm and various methods
- etcd backup and restore procedures
- Node management and troubleshooting
- Networking: CNI plugins, services, ingress
- Storage: PersistentVolumes, StorageClasses
- Workload scheduling: taints, tolerations, affinity
- Application lifecycle management
- Logging, monitoring, and debugging
CNCF
Certified Kubernetes Application Developer (CKAD)
Projected Feb 2026
CKAD - Certified Kubernetes Application Developer
Cloud Native Application Development
Core Competencies
- Design, build, and deploy cloud-native applications on Kubernetes
- Define application resources and use Kubernetes primitives
- Understand and apply core concepts of application design
- Deploy and manage applications in Kubernetes environments
- Troubleshoot application deployment and runtime issues
Key Technical Skills
- Pod design and multi-container patterns
- ConfigMaps and Secrets for application configuration
- Service and networking for application connectivity
- Persistent storage for stateful applications
- Deployments, StatefulSets, DaemonSets, Jobs, and CronJobs
- Observability: liveness, readiness, and startup probes
- Helm charts for package management
- Custom Resource Definitions (CRDs) and operators
CNCF
Certified Kubernetes Security Specialist (CKS)
Projected Feb 2026
CKS - Certified Kubernetes Security Specialist
Advanced Kubernetes Security Implementation
Core Competencies
- Harden Kubernetes clusters against security threats
- Implement cluster and system-level security controls
- Minimize microservice vulnerabilities
- Secure supply chain from image to deployment
- Monitor, detect, and respond to security threats
Key Technical Skills
- Cluster hardening: API server, kubelet, etcd security
- System hardening: AppArmor, seccomp, kernel security
- Network security: policies, encryption, service mesh
- Image security: scanning, signing, admission controls
- Runtime security: Falco, behavioral monitoring
- Secret management: encryption, external stores (Vault)
- Supply chain security: image provenance, SBOM
- Security auditing and compliance scanning
Microsoft Certified
Azure AI Engineer Associate
Issued Jan 2026
Azure AI Engineer Associate (AI-102)
AI Solutions Design & Implementation
Core Competencies
- Design and implement AI solutions using Azure Cognitive Services
- Build, train, and deploy machine learning models
- Implement computer vision and natural language processing solutions
- Develop conversational AI using Azure Bot Service
- Implement responsible AI practices and security
Key Technical Skills
- Azure OpenAI Service and GPT model integration
- Computer Vision: image analysis, OCR, custom vision models
- Language services: sentiment analysis, translation, text analytics
- Speech services: speech-to-text, text-to-speech, translation
- Azure Machine Learning for model training and deployment
- Bot Framework and conversational AI design
- Cognitive Search for intelligent search solutions
Microsoft Certified
Microsoft 365 Fundamentals (MS-900)
Issued Jan 2026
Microsoft 365 Fundamentals (MS-900)
Cloud Productivity & Collaboration Services
Core Competencies
- Understand cloud concepts and Microsoft 365 services
- Describe Microsoft 365 security, compliance, and privacy principles
- Understand Microsoft 365 pricing and support
- Describe productivity solutions and collaboration capabilities
Key Technical Skills
- Microsoft Teams for collaboration and communication
- Exchange Online for email and calendaring
- SharePoint and OneDrive for file storage and sharing
- Microsoft 365 Apps (Word, Excel, PowerPoint, Outlook)
- Security features: MFA, Conditional Access, DLP
- Compliance: eDiscovery, retention policies, information protection
- Identity and access management with Azure AD
Microsoft Certified
Azure AI Fundamentals (AI-900)
Issued Jan 2026
Azure AI Fundamentals (AI-900)
AI & Machine Learning Core Concepts
Core Competencies
- Understand artificial intelligence and machine learning concepts
- Describe Azure AI services and their capabilities
- Understand computer vision workloads
- Understand natural language processing workloads
- Understand generative AI and responsible AI principles
Key Technical Skills
- Machine learning fundamentals and model types
- Azure Machine Learning workspace and designer
- Computer Vision API for image analysis
- Language Understanding (LUIS) and QnA Maker
- Azure OpenAI for generative AI applications
- Responsible AI principles: fairness, reliability, privacy
- AI workload considerations and Azure AI offerings
Microsoft Certified
Azure Fundamentals (AZ-900)
Issued Jan 2026
Azure Fundamentals (AZ-900)
Cloud Computing & Azure Core Services
Core Competencies
- Understand cloud concepts and deployment models
- Describe Azure architecture and core services
- Understand Azure management and governance
- Describe Azure security, privacy, compliance, and trust
- Understand Azure pricing, SLAs, and lifecycle
Key Technical Skills
- Compute: Virtual Machines, App Services, Container Instances, Azure Functions
- Networking: Virtual Networks, VPN Gateway, Load Balancer, Application Gateway
- Storage: Blob Storage, Disk Storage, File Storage, Archive Storage
- Databases: Cosmos DB, SQL Database, MySQL, PostgreSQL
- Azure Active Directory and identity services
- Cost Management and Azure pricing calculator
- Azure Monitor, Service Health, and Advisor
Microsoft Certified
Azure Data Fundamentals (DP-900)
Issued Jan 2026
Azure Data Fundamentals (DP-900)
Data Concepts & Analytics Services
Core Competencies
- Understand core data concepts (relational, non-relational, analytics)
- Describe relational data workloads on Azure
- Describe non-relational data workloads on Azure
- Describe analytics workloads on Azure
- Understand data roles and services
Key Technical Skills
- Relational databases: Azure SQL Database, SQL Managed Instance, PostgreSQL, MySQL
- Non-relational data: Cosmos DB, Azure Table Storage, Blob Storage
- Data warehousing with Azure Synapse Analytics
- Real-time analytics with Azure Stream Analytics
- Data visualization with Power BI
- Data ingestion and ETL with Azure Data Factory
- Big data processing with Azure Databricks and HDInsight
Microsoft Certified
Security, Compliance, and Identity Fundamentals (SC-900)
Issued Jan 2026
Security, Compliance, and Identity Fundamentals (SC-900)
Microsoft Security & Compliance Solutions
Core Competencies
- Understand security, compliance, and identity concepts
- Describe capabilities of Microsoft identity and access management solutions
- Describe capabilities of Microsoft security solutions
- Describe capabilities of Microsoft compliance solutions
Key Technical Skills
- Azure Active Directory and identity protection
- Multi-factor authentication and Conditional Access
- Microsoft Defender (for Endpoint, Cloud Apps, Identity)
- Microsoft Sentinel for SIEM and SOAR
- Azure Security Center and Azure DDoS Protection
- Microsoft Purview for compliance and data governance
- Information protection and data loss prevention
- Compliance Manager and audit solutions
Microsoft Certified
Power Platform Fundamentals (PL-900)
Issued Jan 2026
Power Platform Fundamentals (PL-900)
Low-Code/No-Code Business Solutions
Core Competencies
- Understand business value and capabilities of Power Platform
- Describe capabilities of Power Apps for application development
- Describe capabilities of Power Automate for process automation
- Describe capabilities of Power BI for business analytics
- Describe capabilities of Power Virtual Agents for chatbots
Key Technical Skills
- Power Apps: Canvas apps and model-driven apps
- Power Automate: Cloud flows and desktop flows (RPA)
- Power BI: Data modeling, visualizations, and dashboards
- Power Virtual Agents: Conversational AI and bot building
- Dataverse for data storage and management
- AI Builder for adding AI capabilities to apps and flows
- Connectors for integrating with external services