Agentic Boss Accredited AI Certifications

---

  This certification validates your ability to design secure, scalable, and resilient cloud and hybrid solutions on Microsoft Azure. It emphasizes translating business requirements into architecture across compute, network, storage, identity, and governance. You’ll demonstrate fluency in the Azure Well-Architected Framework and Cloud Adoption Framework, ensuring alignment with enterprise goals. Ideal for professionals leading digital transformation, this credential confirms your ability to integrate AI/ML, DevOps, business continuity, and security into cloud-native and hybrid deployments. 

   PL-600 certifies your ability to lead the design of end-to-end solutions using Microsoft Power Platform, Dynamics 365, and Microsoft cloud services. You’ll demonstrate expertise in governance, security, integration, and change management. This certification is ideal for professionals who guide enterprise low-code strategies, collaborate with stakeholders, and ensure scalable, maintainable solutions. It reflects your ability to align technical architecture with business outcomes and lead cross-functional teams through successful implementations.

  GCP-ACE This certification validates your ability to design, develop, and manage secure, scalable cloud solutions on Google Cloud. It covers architecture, networking, security, compliance, and business alignment. You’ll demonstrate fluency in Google Cloud’s infrastructure, data services, and AI/ML capabilities. Ideal for architects leading cloud strategy and transformation, this credential includes case studies and scenario-based assessments. 

MLS-C01 This certification validates deep expertise in building, training, and deploying ML models on AWS. It covers SageMaker, model tuning, feature engineering, and real-world ML pipelines. Ideal for data scientists and ML engineers, it demonstrates your ability to solve complex business problems using AWS AI/ML services. 

     This certification demonstrates strategic fluency in generative AI using Google Cloud. It covers AI concepts, prompt engineering, LLMs, responsible AI, and enterprise-grade tooling. Ideal for executives, consultants, and decision-makers, it positions you to lead AI-powered innovation and align emerging capabilities with business transformation.

   AI-102 certifies your ability to design, build, and deploy AI solutions using Azure Cognitive Services, Azure Bot Service, and Azure Machine Learning. You’ll demonstrate skills in natural language processing, computer vision, conversational AI, and responsible AI practices. This certification is ideal for engineers integrating intelligent features into enterprise applications and operationalizing AI at scale within Microsoft’s cloud ecosystem. 

"EARLY ADOPTER"   

MLA-C01 This certification validates your ability to implement and operationalize ML workloads on AWS. It covers data preparation, model development, deployment, orchestration, and monitoring. Ideal for MLOps engineers and backend developers, it demonstrates proficiency in SageMaker and CI/CD for AI/ML. 

PL-200 This certification validates your ability to configure Power Platform apps, automate workflows, and integrate Microsoft services. You’ll demonstrate skills in data modeling, user experience design, and solution delivery using Power Apps, Power Automate, Power BI, and Dataverse. Ideal for consultants who translate business needs into scalable low-code solutions, this credential reflects your ability to drive digital transformation through automation and app innovation. 

"EARLY ADOPTER" 

AIF-C01 certifies foundational knowledge of AI/ML concepts and AWS services. It’s designed for professionals who use—but don’t necessarily build—AI solutions. Ideal for business analysts, product managers, and consultants, it covers responsible AI, use cases, and AWS tools like Bedrock and SageMaker. 

PL-100 It validates the ability to build apps, automate workflows, and analyze data using Power Platform tools—without extensive coding. It is ideal for business users creating solutions to streamline operations. Its legacy continues through Microsoft’s Applied Skills credentials. 

   This certification validates foundational knowledge of cloud computing and Google Cloud services. It covers digital transformation, data analytics, AI/ML, infrastructure modernization, and security. Designed for non-technical professionals, it’s ideal for business leaders aligning cloud capabilities with organizational goals. 

   GCP-ACE certifies hands-on skills in deploying, managing, and securing Google Cloud infrastructure. It covers compute, storage, networking, IAM, AI and billing. Ideal for early-career professionals, this certification demonstrates your ability to support cloud operations and implement foundational services across multiple projects.