Deep Learning Specialization Summary
Comprehensive course notes distilling Coursera's Deep Learning Specialization into key architectures, optimization tricks, and deployment best practices.
Curated learning hub
Resources for Builders & Learners
A living library of PDFs, guides, and must-read links to accelerate your AI and engineering journey.
Course Summaries
1 curated resource
Retrieval-Augmented Generation
1 curated resource
Advanced RAG Techniques – Comprehensive Research Guide
Comprehensive guide covering 36 advanced RAG techniques for retrieval-augmented systems.
AWS AI Practitioner Notes
9 curated resources
AWS AI Practitioner – Security & IAM Roles
Notion notes covering access management, shared responsibility, and guardrail best practices.
AWS AI Practitioner – Intro to AI
Foundational AI concepts, terminology, and AWS positioning summarized for quick review.
AWS AI Practitioner – Prompt Engineering
Prompt design patterns, evaluation tips, and generative AI safety notes for the exam.
AWS AI Practitioner – AI Challenges & Ethics
Key ethical considerations, bias mitigation, and responsible AI guardrails in AWS.
AWS AI Practitioner – AWS AI Services
Service overview cheat-sheet with core capabilities and common use cases.
AWS AI Practitioner – Amazon Bedrock
Bedrock components, model catalog, and orchestration workflows in concise bullet form.
AWS AI Practitioner – Amazon Q
Study notes on Amazon Q’s capabilities, integrations, and security posture.
AWS AI Practitioner – Amazon SageMaker
Lifecycle overview, key features, and deployment workflows for SageMaker.
AWS AI Practitioner – AWS Cloud Services
Refresher on supporting cloud services, data pipelines, and monitoring touchpoints.
Research Papers
1 curated resource
The Role of Artificial Intelligence in Enhancing the Criminal Justice System to Reduce Arbitrary Detention
Comprehensive research examining AI's role in reducing arbitrary detention and protecting human rights, balancing technological advancement with privacy, fairness, and accountability across justice systems. Published in Zenodo (2025).
Machine Learning Associate (MLA)
5 curated resources
MLA C01 - 1 - Getting Started with ML, DevOps, and AWS
Foundational course covering machine learning concepts, DevOps practices, and AWS essentials for ML professionals.
MLA C01 - 2 - Data Preparation for Machine Learning
Comprehensive guide on data ingestion, cleaning, transformation, and preparation techniques for ML workflows.
MLA C01 - 3 - Machine Learning Model Development
Detailed exploration of model architecture design, training strategies, evaluation metrics, and optimization techniques.
MLA C01 - 4 - Deployment and Orchestration of ML Workflows
Best practices for containerizing models, orchestrating workflows, and scaling ML systems in production environments.
MLA C01 - 5 - ML Solution Monitoring, Maintenance, and Security
Essential practices for monitoring model performance, maintaining system health, implementing security measures, and ensuring compliance.
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