What you'll learn:
- Pass the AWS Certified AI Business Strategist (AIB-C01) exam: 8 sections, a full practice exam, section quizzes, and a 43-page study guide.
- Explain AI, machine learning and generative AI in business terms: training and inference, data quality, drift, bias, and why a model gets things wrong.
- Decide when AI fits a problem, and how prompting, retrieval and fine tuning adapt a model to your business, starting with the cheapest option.
- Find and prioritize AI opportunities, choose between build, buy and partner, and define KPIs and baselines before any work starts.
- Build both sides of an AI business case, and estimate and track AI spend with AWS Pricing Calculator and AWS Cost Explorer.
- Govern AI responsibly: responsible AI dimensions, risk classification, accountability, access control, and safeguards like Amazon Bedrock Guardrails.
- Lead an AI transformation with the AWS Cloud Adoption Framework: assess readiness, prepare your data and people, and scale a pilot across the business.
This course contains the use of artificial intelligence.
Unofficial course. Not affiliated with, authorized by, or endorsed by Amazon Web Services. It does not include official exam questions and does not grant certification.
Do you want to pass the AWS Certified AI Business Strategist (AIB-C01) exam on your first try, and become the person in your organization who turns AI talk into business results?
This course is designed to get you there.
My name is Vladimir, and I'll be your instructor. I hold 10 cloud and AI certifications, including the AWS Certified AI Practitioner, the AWS Certified Generative AI Developer Professional, the Google Cloud Professional Cloud Architect, the Google Cloud Generative AI Leader, and the Project Management Professional (PMP).
I work with AI tools every day. I've seen the gap between people who talk about AI and people who can build a business case, pick the right use case, and put guardrails around it. That gap is exactly what this exam measures.
I've been teaching online for 10 years and have helped thousands of students earn their certifications. Now, I'm here to help you do the same.
By the end of the course, you will be well prepared to take the official AWS Certified AI Business Strategist exam.
You will speak the language of AI with confidence, covering models, training, inference, structured and unstructured data, and why data quality decides the outcome. You will match the right AI solution type to the business problem, and know when generative AI is the wrong tool for the job.
You will treat prompt engineering, retrieval, and fine-tuning as business decisions, because each one carries a different cost and a different commitment.
You will build the business case for AI, using KPIs, baselines, ROI frameworks, and the running costs that hide inside every AI proposal. This is the largest domain on the exam at 28%, and the course weights it accordingly.
You will govern AI responsibly, covering the dimensions of responsible AI, accountability for an AI decision, the legal ground a system stands on, risk classification, access control, guardrails, and monitoring of live systems.
You will assess organizational readiness across people, process, technology, data, and governance, using the AWS Cloud Adoption Framework. You will also lead the change, building AI skills across the workforce and scaling from a single pilot to enterprise-wide deployment.
Finally, you will know the AWS services at a strategic level, including Amazon Bedrock with Guardrails and Knowledge Bases, Amazon SageMaker AI, Amazon Quick, plus AWS Pricing Calculator, AWS Cost Explorer, and AWS Marketplace for build, buy, or partner decisions.
Here is how the course is structured. It has 7 structured sections, aligned with the latest official exam guide and its four weighted domains. It includes 57 concise video lessons, about 4 hours in total. Every video is scripted to ensure clear, concise delivery, with no filler and no thinking pauses.
Interactive presentations and 8 hands-on demos inside the AWS console let you see Amazon Bedrock in action instead of just hearing about it. Each section ends with a quiz of practice questions with detailed explanations.
You also get a full-length practice exam that mirrors the real exam format, timing, and domain weighting, with a detailed explanation for every answer. A downloadable 44-page PDF study guide holds the key takeaways from every section, perfect for last-minute revision. The course gets regular updates based on changes to AWS services and the exam content.
Who this course is for
This course is for business professionals who evaluate, champion, or scale AI in their organization or for their clients. No coding and no hands-on AWS experience are needed.
It's ideal for product managers, program managers, consultants, sales professionals, line-of-business managers, business analysts, and marketing teams. AWS recommends around six months of experience working with or alongside teams that are adopting AI.
It is not aimed at engineers who build and deploy AI systems. Those skills belong to the AWS Certified Machine Learning and AWS Certified Generative AI Developer certifications.
You'll not only be ready to pass the exam, but you'll also understand the concepts.
Take a look at the preview videos, especially "Roadmap to Success," to see how I approach the material.
Ready to get started? I'll see you in the course.
Disclaimer
AWS, Amazon Web Services, Amazon Bedrock, and all related names are trademarks of Amazon dot com, Inc. or its affiliates. They are used here for descriptive and educational purposes only. No claim of ownership is made.
All questions and study materials in this course are original works, written against the publicly available AIB-C01 exam guide. This course contains no real exam questions. Actual exam content is confidential and protected by the AWS Certification agreement you accept before testing. Please do not ask for it, and do not share it.
This course does not guarantee that you will pass. AWS awards the certification based only on your performance in the official proctored exam.
Exam details such as format, fee, domains, and scoring are accurate as of September 2026 and can change without notice. Always confirm the current details in the official exam guide before you register.
