Mimir, Keeper of the Well of Wisdom
AWS Certified AI Business Strategist AIB-C01 Training
https://www.udemy.com/course/aib-c01-aws-certified-ai-business-
strategist/
Year : 2026
Language : English
Level : Beginner Level
Category : IT & Software
Subcategory : IT Certifications
Duration : 4h 59m
Lectures : 66
Rating : 4.8/5 (91 reviews)
Students : 1,037
INSTRUCTOR(S)
HEADLINE
[Latest Syllabus] Pass The AIB-C01 Exam On Your First Attempt
| Full Practice Exam, Section Quizzes And Demos
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.
REQUIREMENTS
* No specific prerequisites required to take this course. You
do
not need coding skills or hands-on AWS experience.
* This is an independent, self-paced course of video lessons,
practice questions, and study resources. You register for
the
official exam separately, through your AWS Certification
Account. Pearson VUE delivers the exam online or at a test
center.
WHO IS THIS COURSE FOR
* Business professionals who evaluate, champion, or scale AI
initiatives, such as product managers, program managers,
line-
of-business managers, sales professionals, marketers, and
business analysts
* Consultants who advise clients on AI strategy and adoption
and
want independent, third-party proof of their expertise
* Leaders who work alongside technical teams and need to make
informed AI decisions without building the solutions
themselves
* Anyone preparing for the official AWS Certified AI Business
Strategist (AIB-C01) exam who wants practice questions
mapped
to all four exam domains
DESCRIPTION
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.
COURSE CONTENT
Chapter 1: Welcome To Your Journey
1. The Goal Of This Course & My Teaching Method
2. AIB-C01 Exam Details
3. [Roadmap To Success] Get The AIB-C01 Certificate
4. [Fast Learning] Download The Most Important Points In PDF
Slides
5. Your Experience With This Course
6. What Artificial Intelligence Means
7. What Machine Learning Added
8. Deep Learning, And Where Generative AI Sits
Chapter 2: AI Fundamentals For Business Leaders
9. Intro
10. What This Course Assumes You Already Know
11. The Words Behind Every AI System
12. What Generative AI Changed For Business
13. The Data A Model Learns From
14. Why A Model Gets It Wrong
15. The ISO Standards For AI
16. Amazon Bedrock - Overview
17. [Section Recap] AI Fundamentals For Business Leaders
Chapter 3: Putting AI To Work
18. Intro
19. When AI Is Not The Answer
20. What Makes Something An AI Agent
21. Writing A Prompt That Works
22. How A Model Counts What You Send
23. Adapting A Model To Your Business
24. [Hands-On Demo] The Amazon Bedrock Playgrounds
25. [Hands-On Demo] Retrieval With Your Own Document
26. [Section Recap] Putting AI To Work
Chapter 4: Choosing The Right AI Opportunity
27. Intro
28. Where AI Opportunities Live
29. Build, Buy Or Partner
30. Defining Success Before You Start
31. Prioritizing AI Initiatives
32. Switching To A New AI Platform
33. [Section Recap] Choosing The Right AI Opportunity
Chapter 5: The Business Case For AI
34. Intro
35. The Value Side Of An AI Business Case
36. The Cost Side Of An AI Business Case
37. Managing AI Spend On AWS
38. Reading The Competitive Landscape
39. Where A Real AI Advantage Comes From
40. [Hands-On Demo] Batch And Cross Region Inference
41. [Hands-On Demo] Provisioned Throughput And Custom Models
42. [Section Recap] The Business Case For AI
Chapter 6: Governing AI Responsibly
43. Intro
44. The Dimensions Of Responsible AI
45. Responsible AI Before The Build Starts
46. Who Answers For An AI Decision
47. The Legal Ground An AI System Stands On
48. Classifying AI Risk
49. Controlling Access To An AI System
50. Safeguards On Amazon Bedrock
51. Monitoring A Live AI System
52. [Hands-On Demo] Exploring Guardrails In Amazon Bedrock -
2 Examples
53. [Hands-On Demo] Amazon Bedrock Evaluations
54. [Hands-On Demo] Model Access And Invocation Logging
55. [Section Recap] Governing AI Responsibly
Chapter 7: Leading An AI Transformation
56. Intro
57. How AWS Frames An AI Transformation
58. Where Your Organization Stands Today
59. Getting Your Data Ready For AI
60. Leading The People Side Of An AI Change
61. Building An AI Ready Culture
62. Scaling AI Across The Business
63. What Production Grade Actually Means
64. [Section Recap] Leading An AI Transformation
Chapter 8: One Unofficial AIB-C01 Practice Exams
65. Intro
66. A Thank You Note
DATES
Published : 2026-09-15
Last Updated : 2026-10-15
If you fear the truth, dont come to my well.