Achievements
Certifications,
courses, and more
A live record of certifications, courses, training, and awards — pulled directly from the source of truth.
195
Achievements
3
Categories
249h 4m
Total Time
Exam PrepFundamentalCompleted
Domain 3 Review: AWS Certified AI Practitioner (AIF-C01 - English)
In this course, you will review Domain 3: Applications of Foundation Models of the AWS Certified AI Practitioner (AIF-C01) exam. Prepare for the exam by exploring these topics and how they align to AWS services and to specific areas of study. Review videos for each topic area of the domain, delivered by expert instructors.This course is part of 4 steps that you can use to prepare for your exam with confidence. To follow the 4 steps, enroll in the Exam Prep Plan: AWS Certified AI Practitioner (AIF-C01). Some of this content might require an AWS Skill Builder subscription.
AWS
Exam PrepFundamentalCompleted
Domain 4 Review: AWS Certified AI Practitioner (AIF-C01 - English)
In this course, you will review Domain 4: Guidelines for Responsible AI of the AWS Certified AI Practitioner (AIF-C01) exam. Prepare for the exam by exploring these topics and how they align to AWS services and to specific areas of study. Review videos for each topic area of the domain, delivered by expert instructors.This course is part of 4 steps that you can use to prepare for your exam with confidence. To follow the 4 steps, enroll in the Exam Prep Plan: AWS Certified AI Practitioner (AIF-C01).
AWS
Exam PrepFundamentalCompleted
Exam Prep Summary: AWS Certified AI Practitioner (AIF-C01 - English)
This course concludes the Exam Prep Plan: AWS Certified AI Practitioner (AIF-C01). This course is part of 4 steps that you can use to prepare for your exam with confidence. To follow the 4 steps, enroll in the Exam Prep Plan: AWS Certified AI Practitioner (AIF-C01).
AWS
CourseFundamentalCompleted
Fundamentals of Machine Learning and Artificial Intelligence
In this course, you will learn about the foundations of machine learning (ML) and artificial intelligence (AI). You will explore the connections between AI, ML, deep learning, and the emerging field of generative artificial intelligence (generative AI). You will gain a solid understanding of foundational AI terms, laying the groundwork for a deeper dive into these concepts. Additionally, you will learn about a selection of Amazon Web Services (AWS) services that use AI and ML capabilities. You will gain practical insights into how these tools can be used to solve real-world problems and drive innovation across various industries. Course level: Fundamental. Duration: 1 hour. This course includes interactive elements, videos, text instruction, and illustrative graphics.
AWS
CourseAdvancedCompleted
Implement user-level access control for multi-tenant ML platforms on Amazon SageMaker AI
In this course, you will learn how to implement user-level access control for multi-tenant machine learning platforms on Amazon SageMaker AI. You will explore attribute-based access control (ABAC) patterns that enable granular user access control while minimizing the proliferation of AWS Identity and Access Management (IAM) roles.
AWS
CourseIntermediateCompleted
Unlocking Telecom Innovation with AWS: NFVI, CNFI, and Generative AI Use Cases
Over the last decade, the telecom industry has witnessed rapid innovation, driven by the evolution of network technologies from 3G and 4G to LTE and now 5G. Both telecom vendors and operators have significantly expanded the potential of connected devices and services. This session will provide participants with a comprehensive understanding of the telecom ecosystem and how AWS services can be leveraged to support cloud-native telecom workloads. We will explore how Network Function Virtualization Infrastructure (NFVI) and Containerized Network Function Infrastructure (CNFI) can be deployed and optimized on AWS to deliver operational efficiency, resiliency, security, performance, and cost-effectiveness. The session will highlight cutting-edge Generative AI use cases tailored for telecom operators, demonstrating how AI can further transform network operations, customer engagement, and service innovation.
AWS
CourseIntermediateCompleted
Amazon Connect AI Workforce Optimization
Overview of Amazon Connect's AI-driven workforce optimization tools, including forecasting, scheduling, and quality management. Covers how machine learning improves staffing accuracy and how AI evaluation forms automate agent performance reviews.
AWS
CourseIntermediateCompleted
Building Safe Generative AI Applications with Amazon Bedrock Guardrails
Introduction to Amazon Bedrock Guardrails, including configuring content filters, word filters, and PII redaction policies to mitigate harmful or off-policy outputs from foundation models.
AWS
Exam PrepFundamentalCompleted
Domain 2 Review: AWS Certified AI Practitioner (AIF-C01 - English)
Review of Domain 2 (Fundamentals of Generative AI) for the AWS Certified AI Practitioner (AIF-C01) exam. Covers foundation models, the FM lifecycle, customization approaches such as RAG and fine-tuning, and supporting AWS services.
AWS
CourseIntermediateCompleted
Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI
Hands-on coverage of using Amazon Nova as an LLM-as-a-Judge on Amazon SageMaker AI to evaluate generative model outputs. Covers rubric design, automated scoring, and integrating evaluations into model selection workflows.
AWS
CourseIntermediateCompleted
Monitoring and Troubleshooting Generative AI Applications on AWS
Patterns for monitoring and troubleshooting generative AI applications on AWS, covering token and latency metrics, prompt and completion logging, evaluation pipelines, and integrating signals into CloudWatch and observability tooling.
AWS
CourseIntermediateCompleted
AI Agent Guardrails for Production on AWS | Databases for AI
Most teams find out where the autonomy line is after something goes wrong. This stream is about how to draw that line first. The problem isn't the model — it's that nobody defined the rules of engagement before deployment.
AWS
CourseIntermediateCompleted
Amazon Connect AI Agent Capabilities
Overview of AI agent capabilities in Amazon Connect, including generative-AI-powered virtual agents that automate customer interactions across voice and chat. Covers configuration, knowledge sources, and handoff between AI and human agents.
AWS
CourseFundamentalCompleted
An Executive's Guide to Generative AI Success
Executive-oriented overview of how to drive generative AI success in an organization. Covers strategy, use case selection, talent and operating model considerations, risk management, and measuring business value.
AWS
CourseFundamentalCompleted
Automating with AI/ML for Small Business Owners
Practical introduction to AI and machine learning for small business owners. Covers everyday automation use cases, available AWS AI services, and how to evaluate cost, complexity, and value when adopting AI tools.
AWS
CourseFundamentalCompleted
Building a Generative AI-Ready Organization
Organizational readiness guide for adopting generative AI, covering operating model, talent and skills, data foundations, governance, and the change management practices required to scale GenAI across an enterprise.
AWS
CourseAdvancedCompleted
Empower Search with AI using Amazon OpenSearch Service
Demonstrates adding AI-powered search to applications with Amazon OpenSearch Service, including semantic and hybrid search, neural search pipelines, and integration with embedding models hosted on Amazon Bedrock or SageMaker.
AWS
CourseIntermediateCompleted
Generative AI Workloads on AWS AI Chips - Trainium and Inferentia
Covers running generative AI workloads on AWS Trainium and Inferentia, including the Neuron SDK, model compilation, distributed training on Trn1/Trn2, and inference on Inf2 instances for cost-effective LLM deployment.
AWS
CourseFundamentalCompleted
Getting Started with Amazon Augmented AI
Introduction to Amazon Augmented AI (A2I), the service for adding human review to machine learning predictions. Covers worker task templates, flow definitions, and integrating A2I with services like Textract and Rekognition.
AWS
CourseFundamentalCompleted
Introduction to AWS AI Factories
Introduction to AWS AI Factories, fully managed AWS AI infrastructure deployed inside customer data centers. Covers reference architectures, integration with Amazon Bedrock and SageMaker, and use cases for sovereign and on-premises AI workloads.
AWS
CourseFundamentalCompleted
Planning a Generative AI Project
Practical guide to planning a generative AI project, covering use case framing, data and model strategy, success metrics, risk and compliance considerations, and the team and operating model needed for delivery.
AWS
CourseFundamentalCompleted
Pricing and Packaging Generative AI in SaaS
Guidance for SaaS providers on pricing and packaging generative AI features, covering cost-of-goods modeling, value-based pricing strategies, metering, and balancing margin with adoption when shipping AI capabilities.
AWS
CourseIntermediateCompleted
Sustainability Strategies with Generative AI
Examines how generative AI can support sustainability initiatives, and how to design and operate generative AI workloads on AWS in line with the sustainability pillar of the Well-Architected Framework.
AWS
CourseFundamentalCompleted
Amazon Connect AI and ML Fundamentals
Foundational overview of AI and machine learning features in Amazon Connect, including Contact Lens, Voice ID, and generative AI assistance. Explains how these capabilities integrate with the contact center to improve customer and agent experience.
AWS
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