AWS Certified AI Business Strategist
AIB-C01
AWS's business-track AI certification. Validates the ability to translate AI capabilities into business outcomes, build the value case, establish responsible AI governance, assess organizational readiness, and scale AI from pilots to enterprise deployment. No coding and no hands-on AWS implementation required.
390+
問題数
6
練習テスト
52
対話型レクチャー
無期限
アップデート
含まれる内容
模擬試験
本番形式の模擬試験6セット
A retailer's customer service manager reports that the AI assistant keeps making the same mistake about a returns policy that changed in March. She says she has corrected it in the chat several times and expected it to have learned by now. What should the strategist explain?
フラッシュカード
間隔反復デッキ
間隔反復
学習を始めますか？
1回の購入で上記のすべてを利用できます。無期限アクセス、30日間返金保証。
なぜこの認定を取得するのか？
検証されるスキル
- Applying foundational AI, ML, and generative AI concepts to business decisions
- Selecting AI solution types and recognizing when AI is not the right answer
- Using prompt engineering and model adaptation to reach business outcomes
- Developing and prioritizing AI strategy against organizational objectives
- Measuring AI value with KPIs, baselines, and ROI frameworks
- +8個のスキル
キャリアの利点
対象職種
給与範囲
$110,000 - $180,000+
AWS's first certification built entirely around AI business judgment rather than technical implementation
試験トピックとドメイン
認定試験は、4つの主要なコンピテンシー領域にわたってあなたの知識を評価します：
- Core AI, ML, and generative AI concepts in business terms
- Structured and unstructured data, and why data quality matters
- Rule-based automation compared with AI solutions
- AI agents, autonomy, tool use, and orchestration
- Model drift, monitoring, and shadow AI tool classification
- Prompt engineering, tokens and context windows, RAG and fine-tuning
- Identifying and prioritizing high-impact AI use cases
- Build, buy, and partner decisions
- Deciding when AI is not the appropriate solution
- KPIs, baseline metrics, and ROI frameworks
- Leading indicators of AI project success
- AI cost planning and optimization
- Competitive positioning and business model transformation
- Responsible AI dimensions and navigating tradeoffs
- Governance by design and human oversight
- Guardrails, hallucination safeguards, and escalation criteria
- Cross-functional governance structures and accountability
- Regulatory compliance and AI risk classification
- Access control, bias across the lifecycle, harmful content, and IP risk
- AI readiness and maturity assessment
- Capability gaps across people, process, technology, and governance
- Data readiness, data silos, ownership, and sharing frameworks
- Executive sponsorship, AI champions, and cross-functional teams
- Workforce communication, cultural barriers, and AI literacy
- Scaling from pilot to enterprise and AI centers of excellence
カバーされる技術とツール
できるようになること
この認定を取得した後、あなたは次のことができるようになります：
- Build an AI business case with baselines, KPIs, and a defensible ROI framework
- Choose between rule-based automation, predictive ML, generative AI, and agents
- Run a build, buy, or partner decision on evidence rather than vendor claims
- Set up AI governance with clear accountability and risk-tiered oversight
- Assess organizational AI readiness and name the capability gaps that block delivery
- Lead workforce change through an AI transformation without losing the workforce
- Take an AI initiative from pilot to production with the controls production needs
この資格が重要な理由
検証されるスキル
- Applying foundational AI, ML, and generative AI concepts to business decisions
- Selecting AI solution types and recognizing when AI is not the right answer
- Using prompt engineering and model adaptation to reach business outcomes
- Developing and prioritizing AI strategy against organizational objectives
- Measuring AI value with KPIs, baselines, and ROI frameworks
- Positioning AI for competitive advantage and business model change
- +7個のスキル
キャリアの利点
対象職種
給与範囲
$110,000 - $180,000+
AWS's first certification built entirely around AI business judgment rather than technical implementation
積極的に採用している業界
よくある質問
No. There is no coding, no service configuration, and no architecture design. The exam tests strategic decisions: which AI use cases to fund, how to measure value, how to govern AI responsibly, and how to scale it. Familiarity with Amazon Bedrock, Amazon SageMaker AI, and Amazon Quick is expected only at a business level.
Beta registration opened on September 1, 2026 and beta delivery begins on September 29, 2026. The beta sits at 50 USD against a standard price of 100 USD. Candidates who earn the certification by February 15, 2027 also receive an Early Adopter badge.
The beta form is 85 questions in 170 minutes, which is longer than the standard form because beta exams carry additional unscored items. The exam guide sets the standard duration at 130 minutes. Scores are reported on a 100 to 1000 scale and 700 is a pass.
AI Fundamentals and Literacy is 24 percent, AI Strategy and Business Value Creation is 28 percent, AI Governance and Responsible AI Leadership is 24 percent, and Business Readiness, Leadership, and AI Transformation is 24 percent. No single domain dominates, so preparation has to cover all four.
No. There are no prerequisites. AWS recommends about six months working with or alongside teams adopting AI, plus a general awareness of what AWS AI services do at a business level.
AI Practitioner (AIF-C01) covers AI and ML concepts and AWS AI services for a broad technical-adjacent audience. AI Business Strategist (AIB-C01) is a business-track exam: strategy, value measurement, governance, readiness, and enterprise scaling, grounded in the same AI literacy but aimed at the people who fund and lead AI programs.
合格に向けて始めましょう
コースと模擬試験を1回の購入でまとめて利用できます。
コース＋模擬試験
無期限アクセス。一度の購入でずっと使えます
地域により別途税金がかかります
- AIB-C01の完全なコース：全52レッスン
- フル模擬試験6セット
- 本番形式の問題390問以上
- フラッシュカード500枚
- 全問題に詳しい解説
- 試験モードと学習モード
- 再受験は無制限
- どの端末からでも利用可能
Preporatoは独立した試験対策サービスで、Amazon Web Services (AWS)とは提携していません。資格の名称とロゴは各所有者に帰属します。