MLOps with Azure: Complete Machine Learning Operations Training
Master the art of deploying machine learning models with our expertly designed course. Gain unparalleled insights into Azure Machine Learning operations under the guidance of industry leaders. This comprehensive program equips you with essential skills in continuous integration/continuous deployment pipelines tailored specifically for Azure environments. Enroll now to transform your capabilities in machine learning operations.
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Corporate Pricing
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Training Provider Pricing
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Features
Classification
Focus Area Course
- Addresses skill gaps across industries
- Emphasizes emerging technologies and practices
- Enhances workforce capabilities
- Verified by industry experts
- Broadly applicable across sectors
Subsidies
What you'll learn
- Identify key challenges in machine learning deployment patterns.
- Gain proficiency in AI platform pipelines and their ecosystems.
- Create and manage CI/CD pipelines within Azure environments.
- Understand the complete machine learning lifecycle and architecture.
- Deploy high-performance machine learning models effectively.
- Implement MLOps principles using Azure Machine Learning tools.
- Develop skills in data definition, baseline establishment, and label consistency.
Why should you attend?
This course provides a comprehensive exploration of the machine learning lifecycle, architecture, and roles, offering insights into the responsibilities involved in developing effective machine learning solutions. Participants will delve into the fundamentals of machine learning, addressing key challenges and deployment patterns while gaining expertise in pipeline monitoring to ensure robust model performance. The curriculum further explores AI platform pipelines, guiding learners on when to use them and understanding their ecosystem. A significant focus is placed on data definition and establishing baselines, covering major types of data, small data considerations, and ensuring label consistency for accurate model training. Participants will engage in hands-on training to build models, with modules dedicated to project deployment and error analysis. The course emphasizes prioritizing tasks and managing skewed datasets effectively. Performance auditing and data-centric AI development are also covered, along with techniques for data augmentation. Incorporating MLOps principles, the program outlines standard practices and implementation strategies that highlight the benefits of MLOps. Learners will gain practical experience with Kubeflow pipelines, exploring system concepts and creating custom components. The course culminates with an in-depth look at Azure Machine Learning, focusing on Azure DevOps integration and ML connections. Participants will learn to manage CI/CD MLOps pipelines within Azure, mastering continuous integration scripts and deployment processes. Finally, learners will explore advanced topics such as neural architecture search and high-performance modeling for deploying machine learning models effectively.
Course Syllabus
Day 1 - ML Fundamentals and Training
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - MLOps and Pipeline Implementation
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Azure ML Production Deployment
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Ratings and Reviews
Instructor
Instructor
Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.
Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.
Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.
As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.
Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.
Instructor
Instructor Reviews
Mohammad Mehdi Lotfinejad
Chief Data Officer & Data Science Trainer"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."
"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."
"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."
FAQ
Frequently Asked Questions About This Course
Courses you may like
Why should you attend?
This course provides a comprehensive exploration of the machine learning lifecycle, architecture, and roles, offering insights into the responsibilities involved in developing effective machine learning solutions. Participants will delve into the fundamentals of machine learning, addressing key challenges and deployment patterns while gaining expertise in pipeline monitoring to ensure robust model performance. The curriculum further explores AI platform pipelines, guiding learners on when to use them and understanding their ecosystem. A significant focus is placed on data definition and establishing baselines, covering major types of data, small data considerations, and ensuring label consistency for accurate model training. Participants will engage in hands-on training to build models, with modules dedicated to project deployment and error analysis. The course emphasizes prioritizing tasks and managing skewed datasets effectively. Performance auditing and data-centric AI development are also covered, along with techniques for data augmentation. Incorporating MLOps principles, the program outlines standard practices and implementation strategies that highlight the benefits of MLOps. Learners will gain practical experience with Kubeflow pipelines, exploring system concepts and creating custom components. The course culminates with an in-depth look at Azure Machine Learning, focusing on Azure DevOps integration and ML connections. Participants will learn to manage CI/CD MLOps pipelines within Azure, mastering continuous integration scripts and deployment processes. Finally, learners will explore advanced topics such as neural architecture search and high-performance modeling for deploying machine learning models effectively.
What you'll learn
- Identify key challenges in machine learning deployment patterns.
- Gain proficiency in AI platform pipelines and their ecosystems.
- Create and manage CI/CD pipelines within Azure environments.
- Understand the complete machine learning lifecycle and architecture.
- Deploy high-performance machine learning models effectively.
- Implement MLOps principles using Azure Machine Learning tools.
- Develop skills in data definition, baseline establishment, and label consistency.
Course Syllabus
Day 1 - ML Fundamentals and Training
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - MLOps and Pipeline Implementation
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Azure ML Production Deployment
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Instructor Reviews
Mohammad Mehdi Lotfinejad
Chief Data Officer & Data Science Trainer"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."
"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."
"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Classification
Focus Area Course
- Addresses skill gaps across industries
- Emphasizes emerging technologies and practices
- Enhances workforce capabilities
- Verified by industry experts
- Broadly applicable across sectors
Subsidies
Ratings and Reviews
Instructors
Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.
Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.
Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.
As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.
Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.
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FAQ
Frequently Asked Questions About This Course
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