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Azure Machine Learning

Master Azure Machine Learning to design, train, and deploy machine learning models at scale with automated workflows and MLOps best practices.
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Course Duration: 10 Hours
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Azure Machine Learning – End-to-End AI on the Cloud – Online Course
 
This Azure Machine Learning (Azure ML) course is a comprehensive program tailored for data scientists, AI developers, cloud engineers, and ML practitioners aiming to leverage Microsoft Azure for scalable and production-ready AI solutions. It offers a hands-on approach to building, training, deploying, and managing machine learning models efficiently using Azure ML Studio, SDK, and its integration with cloud services.
 
What is Azure Machine Learning?
 
Azure Machine Learning is a cloud-based AI and ML platform by Microsoft that allows you to build, train, deploy, and operationalize machine learning models. It supports no-code drag-and-drop workflows (Azure ML Studio), as well as advanced Python SDK-based development for end-to-end ML pipelines. With built-in MLOps, automated machine learning (AutoML), and scalability, Azure ML is ideal for organizations seeking to accelerate their AI initiatives while ensuring governance, security, and compliance.
 
This course focuses on mastering Azure ML Studio, Automated ML, Azure ML Designer, SDK integration with Jupyter, and deploying models via endpoints or Azure Kubernetes Service (AKS). You will also learn how to monitor, manage, and retrain models effectively in production.
 
How to Use This Course
 
To get the best out of this course:
  1. Start from Basics: Begin with Azure fundamentals and gradually move to ML workflows in Azure ML Studio.
  2. Learn Step-by-Step: Follow modules sequentially to build strong foundations in AutoML, pipelines, and deployments.
  3. Practice Hands-On: Perform experiments using Azure ML workspace, train models, and deploy them as APIs.
  4. Explore Integration: Combine Azure ML with other Azure services like Data Lake, Synapse Analytics, and Azure Functions.
  5. Apply MLOps Principles: Learn continuous training, version control, and monitoring for deployed models.
  6. Work on Real Projects: Use real-world datasets to create enterprise-grade ML solutions and gain portfolio-ready experience.
By the end of this course, you will be proficient in building and managing cloud-based AI systems and applying Azure ML to real-world business needs.

Course/Topic 1 - Coming Soon

  • The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.

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Course Objectives Back to Top
By the end of this course, you will be able to:
 
  1. Understand Azure Machine Learning architecture, components, and ecosystem.
  2. Create and manage Azure ML Workspaces and compute resources.
  3. Train and evaluate models using Azure ML Designer and AutoML.
  4. Build end-to-end ML pipelines with Azure ML SDK (Python).
  5. Deploy models as REST APIs or on Azure Kubernetes Service (AKS).
  6. Integrate Azure ML with Azure Data services and Power BI.
  7. Implement MLOps workflows for continuous training and monitoring.
  8. Apply security, governance, and role-based access controls in Azure ML.
  9. Optimize costs and resources in large-scale model training.
  10. Work on real-world projects, from data ingestion to deployment and monitoring.
Course Syllabus Back to Top
Course Syllabus
 
Module 1: Introduction to Azure ML and AI on Azure
  • Overview of AI and ML on Azure
  • Azure ML Studio and SDK introduction
  • Setting up Azure ML Workspaces
Module 2: Azure ML Environment Setup
  • Creating workspaces, experiments, and datasets
  • Setting up compute targets (CPU/GPU clusters)
  • Azure ML CLI and SDK basics
Module 3: Data Preparation and Management
  • Azure Data Lake and Blob storage integration
  • Importing and processing datasets
  • Data labeling in Azure ML
Module 4: Model Training in Azure ML
  • Using AutoML for no-code model training
  • Azure ML Designer (drag-and-drop interface)
  • Training with Jupyter notebooks and Azure ML SDK
Module 5: Model Evaluation and Experimentation
  • Experiment tracking and logging
  • Hyperparameter tuning with HyperDrive
  • Comparing models and selecting best performers
Module 6: Building ML Pipelines
  • Creating pipelines with Azure ML SDK
  • Automating ETL, training, and deployment steps
  • CI/CD integration for ML pipelines
Module 7: Model Deployment
  • Deploying models as REST endpoints
  • Azure Kubernetes Service (AKS) deployment
  • Deploying lightweight models on Azure Container Instances (ACI)
Module 8: Monitoring and MLOps
  • Introduction to MLOps with Azure
  • Model versioning and rollback strategies
  • Real-time monitoring and alerting
Module 9: Advanced Integrations
  • Azure Synapse Analytics and Power BI integration
  • Cognitive Services + Azure ML
  • Real-time scoring with Azure Functions
Module 10: Security and Governance
  • Role-based access control (RBAC)
  • Data privacy and compliance (GDPR, HIPAA)
  • Key Vault integration for secrets management
Module 11: Real-World Projects
  • Customer churn prediction using AutoML
  • Healthcare diagnosis model with AKS deployment
  • Fraud detection pipeline with continuous retraining
Module 12: Interview Preparation and Best Practices
 
  • Key interview questions for Azure ML roles
  • Troubleshooting Azure ML workflows
  • Cost optimization strategies in Azure ML
Certification Back to Top

Upon completion, learners will receive an industry-recognized Certificate of Completion from Uplatz. This certification validates your ability to use Azure Machine Learning to create scalable ML solutions, implement AutoML, build pipelines, deploy models, and integrate MLOps practices. It is ideal for professionals seeking roles in AI/ML engineering, cloud-based machine learning, and enterprise AI development, boosting credibility for Azure-focused career paths.

Career & Jobs Back to Top
Azure Machine Learning skills are highly sought after in industries leveraging AI on cloud platforms. Completing this course opens career opportunities in roles such as:
  • AI/ML Engineer (Azure Cloud)
  • Data Scientist (Azure ML specialization)
  • MLOps Engineer
  • Cloud AI Solutions Architect
  • AI Consultant for Enterprise Deployments
Companies across finance, healthcare, retail, e-commerce, and manufacturing increasingly rely on Azure ML for AI-driven transformation. This expertise aligns with Microsoft's growing dominance in enterprise cloud and AI services. Professionals with Azure ML skills can work in roles focusing on model deployment at scale, automated workflows, compliance-driven AI, and MLOps—particularly appealing for organizations adopting cloud-native and regulated AI solutions. This course also supports preparation for Microsoft Azure AI certifications (AI-102, DP-100), enhancing employability in high-paying Azure AI roles.
Interview Questions Back to Top
1. What is Azure Machine Learning?
Azure ML is a cloud-based service that provides tools for building, training, deploying, and managing machine learning models in a scalable and secure environment.
 
2. How does AutoML work in Azure ML?
AutoML automates model selection, feature engineering, and hyperparameter tuning, helping users build optimized models without extensive coding.
 
3. What are Azure ML Workspaces?
A Workspace is the central resource for managing datasets, experiments, models, and deployments in Azure ML.
 
4. How can you deploy models in Azure ML?
Models can be deployed as REST endpoints using Azure Kubernetes Service (AKS) for production or Azure Container Instances (ACI) for testing.
 
5. What is HyperDrive in Azure ML?
HyperDrive is a hyperparameter tuning service that allows running multiple training jobs in parallel with different parameter sets to optimize performance.
 
6. How does MLOps work in Azure ML?
MLOps integrates CI/CD for ML workflows, enabling version control, retraining automation, monitoring, and governance for ML models in production.
 
7. What are Azure ML Pipelines used for?
Pipelines automate repetitive tasks like data preparation, training, evaluation, and deployment, streamlining end-to-end ML workflows.
 
8. How is security managed in Azure ML?
Azure ML uses Role-Based Access Control (RBAC), Key Vault for secrets, and compliance tools (GDPR/HIPAA) for secure AI deployment.
 
9. Can Azure ML integrate with external tools?
Yes, Azure ML integrates with GitHub, MLflow, PyTorch, TensorFlow, Azure Synapse Analytics, and Power BI for extended functionality.
 
10. What certifications align with Azure ML learning?
Relevant certifications include DP-100 (Data Scientist Associate) and AI-102 (Azure AI Engineer Associate), both focusing on Azure ML and AI tools.
Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

Q4. Are the videos downloadable?
A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.

Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php

Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.

Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100

Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours. Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual

Q11. What are bundle courses?
A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience. Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle

Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies. Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done

Q13. What are Learning Path programs?
A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done

Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.

Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription

Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

Q19. How do I enrol in Uplatz video courses?
A19. To enroll, click on "Buy This Course," You will see this option at the top of the page.
a) Choose your payment method.
b) Stripe for any Credit or debit card from anywhere in the world.
c) PayPal for payments via PayPal account.
d) Choose PayUmoney if you are based in India.
e) Start learning: After payment, your course will be added to your profile in the student dashboard under "Video Courses".

Q20. How do I access my course after payment?
A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".

Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.
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BUY THIS COURSE (USD 17 USD 41)