AWS AI Practitioner — Your Study Plan

AIF-C01 is the fastest cloud+AI credential to land right now — no coding required, and it stacks perfectly on a clearance. Founding members get this track included. This is zero-to-pass.

🎯 Why it's the move in 2026

Every company is bolting AI onto what they already run on AWS — and they need people who can speak both "cloud" and "AI" without being an ML PhD. AIF-C01 proves exactly that. Pair it with a clearance and you're the person a cleared team pulls in to reason about Bedrock, guardrails, and responsible-AI policy. Entry range with a clearance: $95K–$130K. It's a 90-minute, 65-question exam, ~$100, and you can pass it in a month if you push.

⏱️ Pick your pace (and the hours it takes)

30 days~2–2.5 hrs/day
(≈65 hrs total)
fast track

60 days~1 hr/day
(≈60 hrs total)
steady — recommended

90 days~40 min/day
(≈55 hrs total)
while working full-time

Same roadmap, three speeds. Coaches can set your pace in the CRM and it shows on your dashboard at rotechllc.com/plan — or pick it yourself there.

📚 The 5 exam domains (AIF-C01)

Domain	Weight	What it covers
1. Fundamentals of AI & ML	20%	AI vs ML vs deep learning, training vs inference, supervised/unsupervised, model evaluation
2. Fundamentals of Generative AI	24%	Foundation models, LLMs, tokens, prompts, embeddings, Amazon Bedrock basics
3. Applications of Foundation Models	28%	Prompt engineering, RAG, fine-tuning, agents, Bedrock/SageMaker JumpStart, Amazon Q
4. Guidelines for Responsible AI	14%	Bias, fairness, transparency, hallucinations, human-in-the-loop, guardrails
5. Security, Compliance & Governance	14%	IAM for AI, data privacy, model/data governance, AWS shared-responsibility for AI

🗓️ Your 30 / 60 / 90-day plan

Phase	Focus
First third Foundation	Domains 1 & 2 — get AI/ML vocabulary cold (supervised vs unsupervised, training vs inference, over/underfitting), then GenAI core: foundation models, LLMs, tokens, prompts, embeddings. Open the Amazon Bedrock console and actually send a prompt to a model. Goal: you can explain what a foundation model is and call one.
Middle third Applications	Domain 3 (the heaviest, 28%) — prompt engineering, RAG, fine-tuning vs prompt-tuning, agents, Bedrock vs SageMaker JumpStart, Amazon Q Developer/Business, and the pre-built services (Comprehend, Rekognition, Textract, Transcribe). Know which service for which job — the exam lives here. Goal: you can pick the right AWS AI service for a use case.
Final third Responsible AI + Pass	Domains 4 & 5 — bias/fairness, hallucinations, human-in-the-loop, guardrails, plus IAM/data privacy/governance for AI. Then drill 200+ practice questions in the ROT quiz engine to a steady 80%+, schedule the exam in this window, and take it. Goal: booked and passed.

🧠 Inside ROT (use these)

Quiz engine — AWS AI practice questions in Discord + the site (the ai1–ai4 domains). Aim for 80%+ before you book.
Bo Tech — ask it to explain any service in plain English, then quiz you back. It knows Bedrock, Q, SageMaker, the guardrail stuff.
Your dashboard — rotechllc.com/plan shows your dated roadmap; check off domains as you go.

💡 What's actually proven: people who pass AIF-C01 fast do three things — (1) they touch Bedrock in the console instead of just reading, (2) they build a one-line cheat sheet per service ("Comprehend = NLP, Rekognition = images, Textract = docs, Q = chat-on-your-data"), and (3) they drill service-selection questions ("which service would you use to…") because that's ~40% of the exam. Memorize the service map and you're most of the way there.