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title Certification Study Notes
description Study notes from technology certifications I've cleared and ones I'm currently preparing for.

Personal Study Journal

My Certification Journey

I study for certs by writing notes. When I decided to share them, I added interactive tools to make them more useful for anyone studying alongside me.

9 Passed
6 In Progress
9 Planned

Journey started · Jan 2026

What's Inside Each Certification

These started as plain markdown files. When I decided to share them as a site, I added interactive features to make them more useful for anyone studying.

📝 Study Notes — All exam domains covered
📋 Cheatsheets — One-page reference for exam day
🎯 Exam Guides — Traps, decision rules, pitfalls
💡 Exam Tips — Strategy and time management
📊 Progress Tracking — Track what you've covered, stored in your browser, never leaves your device
🃏 Flashcards — Interactive quiz decks
🤖 AI Study Assistant — Ask questions about any page or generate flashcards on demand, powered by Google Gemini

Currently Studying

6 active
Advanced
AWS

Design and build enterprise-scale generative AI applications using AWS services, foundation models, and responsible AI practices.

AWS experience, Python/API familiarity, ML fundamentals, AI/ML application architecture
Study by Apr 2026
Exam Apr 2026
Intermediate
Azure

Design, implement, and monitor AI solutions using Azure AI services, Azure OpenAI, and responsible AI principles.

Azure fundamentals, Python/C# experience, AI/ML concepts
Study by Mar 2026
Exam Apr 2026
Beginner
Azure

Foundational AI, machine learning, computer vision, NLP, and generative AI concepts using Microsoft Azure AI services.

Basic cloud concepts, client-server applications, AI workload awareness
Study by May 2026
Exam Jun 2026
Intermediate
AWS

Build, deploy, and maintain ML solutions using Amazon SageMaker and AWS ML services at production scale.

1 year AWS experience, SageMaker hands-on, ML fundamentals
Study by Apr 2026
Exam May 2026
Beginner
Google Cloud

Lead generative AI strategy and implementation across organizations using Google Cloud's Vertex AI platform and Gemini models.

Cloud computing basics, Python/API familiarity, ML lifecycle understanding
Study by Mar 2026
Exam Jun 2026
Intermediate
Azure

Design AI-enabled SQL database solutions using Azure SQL, SQL Server, Fabric SQL databases, vectors, embeddings, and retrieval-augmented application patterns.

Strong T-SQL, SQL schema design, CI/CD basics, AI concepts like embeddings and vectors
Study by Dec 2026
Exam Dec 2026

On the Radar

Q2 2026
AzureDP-700: Fabric Data Engineer Associate
Q3 2026
AzureAI-300: MLOps Engineer Associate
PythonPCEP: Entry-Level Python Programmer
Q4 2026
AzureAB-100: Agentic AI Business Solutions Architect
AzureDP-800: SQL AI Developer Associate
AWSSAA-C03: Solutions Architect
PythonPCAP: Associate Python Programmer
PMIGenAI for Project Managers
Q1 2027
AzureAB-900: M365 Copilot and Agent Administration Fundamentals

Completed

9 certs

Tags show the ecosystem and the vendor-defined level or category.

Mar 2026
Microsoft Specialty Cloud & AI Platform
GH-100: GitHub Administration
Microsoft Specialty Security
GH-500: GitHub Advanced Security
Feb 2026
Microsoft Specialty Cloud & AI Platform
GH-300: GitHub Copilot
Microsoft Specialty Cloud & AI Platform
GH-900: GitHub Foundations
Microsoft Business AI Business Solutions
AB-730: AI Business Professional
Microsoft Business AI Business Solutions
AB-731: AI Transformation Leader
Jan 2026
Microsoft Specialty Cloud & AI Platform
GH-200: GitHub Actions
AWS Foundational AI Foundations
AIF-C01: AI Practitioner
Oct 2024
AWS Foundational Cloud Foundations
CLF-C02: Cloud Practitioner

::: info Note These are personal study notes — always cross-check with official documentation before your exam. :::