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
CourseIntermediateCompleted
Agentic AI Solutions with AWS Messaging Services - Amazon SNS, SQS, and MQ
Agentic AI marks the evolution from reactive assistants to proactive, autonomous systems that can understand, decide and act with minimal oversight. AI agents access tools, data, and the internet to navigate complex tasks, adapt to changing conditions, and collaborate with other agents to get work done. This course teaches you how to implement AI agents using AWS messaging services - Amazon Simple Notification Service (Amazon SNS), Amazon Simple Queue Service (Amazon SQS) and Amazon MQ.
AWS
CourseIntermediateCompleted
Amazon Connect AI Supervisor Capabilities
Walks through AI capabilities designed for contact center supervisors in Amazon Connect, including real-time agent assist, sentiment analysis, post-call summarization, and generative coaching insights produced from conversation analytics.
AWS
CourseFundamentalCompleted
Amazon SageMaker AI Getting Started
In this course, you will learn the benefits and technical concepts of Amazon SageMaker AI. If you are new to the service, you will learn how to start using Amazon SageMaker AI through a demonstration using the AWS Management Console. You will use a Jupyter notebook instance to train and generate prediction using a machine learning model.
AWS
CourseFundamentalCompleted
AWS AI Chips - Trainium and Inferentia Fundamentals
Foundational overview of AWS Trainium and Inferentia, the purpose-built silicon for training and inference. Covers chip architectures, the Neuron SDK, and when to choose Trainium- or Inferentia-based EC2 instances over GPU alternatives.
AWS
CourseIntermediateCompleted
Build Knowledge Graph-powered AI Agents For Your Use Case - with Amazon Neptune
Your AI agent can write poetry and pass the bar exam. Ask it about your own company? It has no idea. Knowledge graphs are the fix—but who has time to learn graph queries and graph theory? In this session, we'll build a knowledge graph from raw documents, automatically, and connect it to an agent that finally understands YOUR business. No graph expertise required. Watch us build it end-to-end.
AWS
CourseIntermediateCompleted
Building specialized AI without sacrificing intelligence: Nova Forge data mixing in action
The course covers the fundamentals of PEFT versus full-rank SFT, walks through detailed benchmark results comparing Nova 2 Lite and Qwen3-30B, and provides practical recommendations for choosing the right fine-tuning approach based on your deployment needs. Through knowledge checks and real-world scenarios, you'll learn when to use data mixing versus customer-data-only fine-tuning, how to design dual evaluation frameworks, and how to deploy specialized models that don't sacrifice the general capabilities your enterprise workflows depend on.
AWS
Exam PrepFundamentalCompleted
Domain 1 Review: AWS Certified AI Practitioner (AIF-C01 - English)
In this course, you will review Domain 1: Fundamentals of AI and ML of the AWS Certified AI PractitionerAIF-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 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
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