Agentic Boss Accredited AI Certifications

---

   This certification validates a professional’s expert-level ability to design, govern, and scale AI-powered business solutions using Microsoft technologies. It demonstrates competency in aligning AI strategy with enterprise goals, orchestrating platform engineering and data lifecycle management, enabling responsible AI adoption, and leading cross-functional transformation initiatives. This credential is ideal for architects, consultants, and program leaders who guide organizations through agentic AI implementation across Microsoft 365, Power Platform, and Dynamics 365 environments.   

  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. 

   The AI Transformation Leader (AB‑710) certification demonstrates the ability to guide organizations through AI adoption, strategy, and responsible implementation. It focuses on identifying high‑value AI opportunities, aligning AI investments with business goals, driving change management, and leveraging Microsoft 365 Copilot and Azure AI services to modernize workflows. This certification is designed for business leaders, program managers, and decision‑makers responsible for shaping AI strategy, fostering innovation, and leading enterprise‑wide transformation initiatives—without requiring technical development skills.  

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. 

The AB‑730 certification validates a professional’s ability to use generative AI tools, including Microsoft 365 Copilot, to improve productivity, decision‑making, and business outcomes. It focuses on prompt creation, managing AI‑driven conversations, drafting and analyzing business content, and applying responsible AI practices. Designed for business users - it confirms proficiency in leveraging AI across common workflows such as communication, analysis, presentations, and collaboration. This credential is ideal for analysts, coordinators, consultants, and cross‑functional business professionals adopting AI in daily work. 

"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.