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SAS Certified Professional: AI & Machine Learning ISO

Unlock the power of ISO standards and auditing practices to drive organizational excellence and compliance in today’s competitive business landscape. This course delivers a thorough, practical

Ngazi Zote30 MihadharaUfikiaji wa Maisha Yote

Mwalimu Mkuu Aliyethibitishwa

SAS Certified Professional: AI & Machine Learning ISO
trailer ya gari
Kutana na mwalimu wako: Veloxa Labs

18 ms

5.0 / 5.0
Ukadiriaji wa Kimataifa
Kiingereza (Marekani)
Nukuu 99 za Lugha
3 saa 34 dak
Jumla ya Maudhui

Utajifunza nini

Navigate the SAS Viya environment and use SAS Studio for AI and machine learning workflows.
Import, export, clean, and assess data quality using SAS tools and techniques.
Apply feature engineering, handle missing values, outliers, and prepare data for modeling.
Build and evaluate supervised models: regression, decision trees, forests, boosting, and SVMs.

Maudhui ya Kozi

7 sehemu30 mihadhara03:34:24 urefu wa jumla

AI ML Fundamentals 2

08:09

Architecting SAS Viya From Memory to Machine Learning 2

07:09

Setting Up SAS Environment 2

07:47

The Explainer SAS Certified Professional AI Machine Learning 2

04:55

Data Cleaning Quality 2

08:03

SAS Viya Data Preparation 2

07:38

Data Viz Best Practices 2

06:54

Feature Engineering 2

08:24

The Data Detective 2

07:21

Gradient Boosting Evolution 2

07:27

Hyperparameter Tuning 2

07:44

Supervised ML in SAS Viya 2

07:00

SVMs in SAS Viya 2

09:06

The Honest Assessment 2

07:37

Tree Evolution in SAS Viya 2

08:32
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Mahitaji

Foundational understanding of statistics is recommended.

Basic knowledge of programming concepts is recommended.

Basic understanding of data analysis principles is recommended.

Previous SAS experience is beneficial but not mandatory.

Watazamaji Walengwa

Aspiring data scientists preparing for SAS AI & Machine Learning certification.

Data analysts and SAS professionals expanding into machine learning.

Business analytics professionals applying AI/ML to organizational challenges.

Students and professionals seeking practical SAS Viya and AI/ML skills.

Kuhusu kozi hii

This course contains the use of artificial intelligence. Unlock the power of ISO standards and auditing practices to drive organizational excellence and compliance in today’s competitive business landscape. This course delivers a thorough, practical introduction to ISO standards—including ISO 9001 (Quality Management), ISO 27001 (Information Security), ISO 14001 (Environmental Management), and others—equipping you with the essential knowledge and skills to implement, audit, and maintain ISO-based management systems within your workplace.
You will gain a clear understanding of the structure, principles, and requirements of leading ISO standards, learning how these frameworks support risk management, regulatory compliance, and continual improvement. The course demystifies the ISO implementation process, guiding you step-by-step through gap analysis, documentation development, process mapping, and integration with existing business operations. Emphasis is placed on practical application, ensuring you are prepared to translate ISO requirements into actionable procedures and controls tailored to your organization’s needs.
A core focus of the course is ISO auditing—both internal and external. You will learn how to plan, conduct, and report audits in accordance with ISO 19011 guidelines, mastering techniques for objective evidence gathering, process-based auditing, and effective communication with auditees and management. Real-world scenarios and audit case studies illustrate common challenges and best practices, enabling you to identify nonconformities, assess corrective actions, and foster a culture of compliance and improvement.
The course also addresses the critical aspects of maintaining ISO compliance post-certification, including ongoing monitoring, management review, continual improvement cycles, and responding to changes in standards or regulations. You will discover how to leverage ISO management systems for operational efficiency, risk reduction, and enhanced stakeholder confidence.
Designed for quality managers, compliance officers, auditors, team leaders, and professionals seeking to advance their understanding of ISO standards, this course bridges the gap between theory and practical workplace application. By the end of your learning journey, you will be confident in your ability to implement, audit, and sustain ISO management systems, ensuring your organization meets international benchmarks for quality, security, and performance. Whether you are preparing for a formal audit, pursuing certification, or aiming to strengthen internal controls, this course provides the knowledge and tools you need for real-world ISO success.

About VeloxaLabs
VeloxaLabs is a professional technology training platform focused on developing practical knowledge and career-relevant skills in cybersecurity, information technology, IT certifications, artificial intelligence, machine learning, data science, cloud technologies, and modern digital technologies.
VeloxaLabs develops training programs for IT professionals, technology practitioners, students, engineers, analysts, developers, administrators, managers, and professionals preparing for recognized technical and industry certifications. Its courses are structured to combine essential theory with practical technology concepts, real-world scenarios, professional best practices, and certification-focused learning.
The academy places strong emphasis on helping learners understand both the technical foundations and practical application of modern technologies. Course content is designed to strengthen knowledge of artificial intelligence, data analytics, machine learning, cybersecurity, infrastructure, cloud technologies, programming, automation, and enterprise technology operations.
Through structured professional training, VeloxaLabs aims to support learners in developing the knowledge required to understand modern technologies, build practical technical competence, prepare for professional certification examinations, solve real-world problems, and progress into technology-focused roles.

Fursa za Kazi na Majukumu Lengwa

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Mtaala Uliotayarishwa kwa Ajira
Majukumu ya Kazi Unayoweza Kuomba

Full Stack Software Engineer

Backend Systems Developer

Frontend Application Specialist

Automation & Scripting Engineer

Mshahara Unaokadiriwa kwa Mwaka
$90,000 – $145,000 / yr
Mahitaji ya Soko Ulimwenguni

High Global Tech Demand

Ujuzi Muhimu Utakaobobea
Production Code Architecture
RESTful & Modern API Design
State Management & UI Scaling
Debugging & Automated Testing
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