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Gestão De Riscos De Projetos De IA

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Overview

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Learning outcomes

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Course content

1

Identificação De Riscos De Ia

2

Análise De Impacto E Probabilidade

3

Estratégias De Mitigação De Riscos

4

Governança E Conformidade De Ia

5

Monitoramento Contínuo E Revisão

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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60 sec
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Self-paced
Learn on your time
Certificate
Included in fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
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Self-paced · Certificate included · 24/7 access · 60-second start.
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
Open enrolment · Start today

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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
ST
Sarah Thompson
GB · Course completed

I really enjoyed this course – it was spot‑on for what I needed. The videos were easy to follow and the hands‑on labs let me try out risk‑register templates on a real‑world AI use‑case. I especially liked the part where we built a simple decision‑tree to spot data‑drift risks. The material felt current and the tutor was quick to answer questions on the forum. It helped me feel confident presenting a risk‑mitigation plan to my senior team.

MC
Michael Carter
US · Course completed

The Gestão De Riscos De Projetos De IA course exceeded my expectations. The modules on risk identification and quantitative analysis gave me a clear framework to assess AI project vulnerabilities. I was able to apply Monte‑Carlo simulation techniques directly to a pilot project at my company, reducing uncertainty in model deployment timelines by 20%. The lecture slides and case studies were up‑to‑date, especially the section on bias mitigation in machine‑learning pipelines. Overall, the professional delivery and practical assignments helped me meet my learning goal of becoming a certified AI risk manager.

AP
Ananya Patel
IN · Course completed

What an enthusiastic and energising learning experience! The course broke down complex risk concepts into bite‑size lessons, and the interactive quizzes kept me motivated. I learned to draft a comprehensive AI risk assessment matrix, which I immediately used to evaluate a chatbot project at my startup. The real‑world examples from the finance sector were especially relevant, showing how to balance regulatory compliance with innovation. I’m thrilled with the skills I’ve gained and would recommend this course to anyone eager to master AI project risk management.

ZD
Zanele Dlamini
ZA · Course completed

The course provided a detailed, step‑by‑step guide to managing risks in AI initiatives. I appreciated the in‑depth coverage of ethical risk factors, such as algorithmic bias, and the practical worksheets that helped me map out mitigation strategies for a predictive maintenance system we’re developing. The quality of the reading materials was high, with references to the latest industry standards. Overall, the learning experience was thorough and gave me concrete tools to improve project governance.





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Recently updated!

May 2026