This course prepares learners to operationalise machine learning and generative ai solutions using microsoft azure, aligned to the requirements of the ai-300 exam. It focuses on building robust, scalable, and secure ai systems in production environments, combining machine learning operations and generative ai operations into a unified aiops approach.

Learners will gain the practical skills needed to deploy, monitor, govern, and optimise both traditional machine learning models and generative ai applications. The course emphasises real-world operational workflows, enabling organisations to transition from experimentation to enterprise-scale ai delivery with confidence.



Prerequisites

Learners should have:

  • experience with python programming
  • working knowledge of azure machine learning
  • experience deploying and maintaining machine learning models
  • familiarity with generative ai development concepts and tools such as microsoft foundry
  • understanding of devops practices including source control and ci/cd
  • experience with tools such as github actions and command-line interfaces

Tareget audience

This course is designed for professionals responsible for deploying and managing ai systems in production environments, including:

  • ai engineers
  • machine learning engineers
  • data scientists with operational responsibilities
  • devops and platform engineers supporting ai workloads

For corporate groups, we can organize this training as an on-site private group.
HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

What You Will Learn

By the end of this course, learners will be able to:

  • design and implement mlops and genaiops workflows on azure
  • deploy and manage machine learning models in production environments
  • operationalise generative ai applications and agents
  • implement monitoring, observability, and governance for ai systems
  • optimise performance, cost, and reliability of ai solutions
  • apply security and compliance best practices across the ai lifecycle

Why Choose Us

Leading UK-based global training provider since 1995.

Experience Operationalize machine learning and generative AI solutions in Singapore through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from Singapore or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Operationalize machine learning and generative AI solutions through face-to-face Classroom Based training in Singapore. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Operationalize machine learning and generative AI solutions in Singapore as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in Singapore or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.
Contact us for more detail about our trainings and for all other enquiries!