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AI Advanced with Azure Machine Learning
60 Hours | In-depth training on machine learning model design, training, deployment, and MLOps practices using Azure Machine Learning tools
Hands-on experience with Azure Machine Learning
Understanding of MLOps practices for seamless model retraining
Skill development in automated machine learning
Course Completion Certificate from Unique System Skills
Real-world application experience with Azure AI services
Licensed IT Training Institute In New Hampshire, USA
Trusted by Global Tech Leaders
Get certified in AI Advanced with Azure Machine Learning program backed by leading technology partners and delivered by experienced professionals from the industry.
AI Advanced with Azure Machine Learning Overview
The AI Advanced with Azure Machine Learning course focuses on advanced techniques in designing, training, and deploying azure machine learning models using Azure ML
AI Advanced with Azure Machine Learning Features
60 Hours of In-depth Learning
coverage of Azure Machine Learning
Hands-on experience with Azure ML, AutoML, MLflow, & MLOps
Flexible Batch Options
Learn and implement responsible AI principles
Practical skills in deploying models to online and batch endpoints
Course Completion Certificate
Skills Covered
Machine Learning Solution Design
Data Management (Azure Storage, Datastores, Assets)
Azure ML Workspace & Registry Management
Compute Management
Automated ML (Tabular, Vision, NLP)
Model Evaluation & Hyperparameter Tuning
Model Deployment (Online & Batch Endpoints)
MLOps (Automation, Job Triggers)
Connect Your
Learning Advisor Today
Benefits of AI Advanced with Azure Machine Learning
Boost Your Career with Azure Machine Learning!
Azure ML leads in enterprise AI—demand for experts is soaring. Learn MLOps, model deployment & real-time AI. Advance with Azure ML now!
AI Advanced with Azure Machine Learning Trends
CAGR estimated growth by 2030
0
%
Demand of Azure ML professionals
0
%
Average Annual Salary
Top Companies Hiring
Training Options
Online Bootcamp
Flexi Pass Enabled: Flexibility to reschedule your cohort within first 90 days of access. Live, online classroom training by top instructors and practitioners
- Live Instructor-Led Training
- Hands-On Labs & Practice Exercises
- Access to Recorded Sessions
- Official Learning Materials
- Doubt Clearing & Q&A Sessions
- Mock Tests & Certification Prep
- Flexible Batch Timings
- Post-Training Support
Corporate Training
Transform your talent. Provide comprehensive training to upskill current employees or reskill them for new roles.
Flexible pricing & billing options
Your Requirements, Our Training Expertise
Updated Course Content
Skills assessment & benchmarking
Customised Corporate Programs
Dedicated customer success manager
Detailed Curriculum
AI Advanced with Azure Machine Learning and Training
Design and Prepare a Machine Learning Solution
- Lesson 1: Designing a Machine Learning Solution, Compute Specifications
- Lesson 2: Managing an Azure ML Workspace, Git Integration, Registry Management
- Lesson 3: Managing Data in Azure ML, Azure Storage Resources
- Lesson 4: Managing Compute for Azure ML Experiments, Spark Pools
Explore Data and Train Models
- Lesson 1: Exploring Data with Data Assets and Data Stores
- Lesson 2: Using Azure ML Designer for Model Creation, Custom Code Components
- Lesson 3: Automated Machine Learning for Tabular Data, Vision, and NLP
- Lesson 4: Custom Model Training Using Notebooks and Python SDK v2
- Lesson 5: Hyperparameter Tuning with Azure ML
Prepare a Model for Deployment
- Lesson 1: Running Model Training Scripts, MLflow Logging
- Lesson 2: Implementing Training Pipelines, Custom Components
- Lesson 3: Managing Models in Azure ML
Deploy and Retrain a Model
- Lesson 1: Model Deployment to Online and Batch Endpoints
- Lesson 2: MLOps Practices, Automating Model Retraining
About the Course
This course equips learners with in-depth knowledge of Azure Machine Learning for building, deploying, and managing machine learning models at scale. It includes hands-on experience with automated ML, pipelines, MLOps, etc.
Why Pursue This Field:
AI is reshaping every industry—from healthcare to finance. Azure ML is a top enterprise tool, and mastering it positions you for high-impact roles in AI and data science.
Course Learning Objectives:
• Build and train ML models using Azure ML Studio
• Automate workflows with ML pipelines
• Learn model deployment and monitoring with MLOps
• Integrate Azure ML with cloud data services (Blob Storage, Data Factory)
Career Paths After Certification:
• Machine Learning Engineer
• AI Solutions Architect
• Data Scientist
• MLOps Engineer
• Cloud AI Developer
Tools Covered In This Course
Turn Knowledge into Action with Industry Projects
Foundational Project:
Building a machine learning model with Azure ML Wrangling and analyzing data using Apache Spark
Intermediate Project:
Optimizing machine learning models with AutoML Deploying models to online and batch endpoints
Advanced Project:
Implementing MLOps for continuous model retraining and monitoring
Get Certified
Stand Out with an Industry-Ready Certification
Earn your Industry-Ready Certificate (IRC) by completing your projects and clearing the pre-placement assessment
Certification Program Advantage
- 60 Hours of Structured, Hands-on Training
- In-depth focus on Azure Machine Learning and MLOps
- Responsible AI practices embedded in all learning activities
- Real-world project applications and deployment experiences
- Professional development opportunities in advanced machine learning workflows
Placement Assistance
Unique System Skills Learners will be provided with 360-degree career guidance & Placement Assistance
Placement Assistance Process
Enroll in the course
Complete online training sessions
Learn to Build a projects
Practice with mock interviews
Interview
Preparation
What Our Learner’s Say
Fantastic course for stepping into AI! Azure ML concepts were explained clearly with real-time examples. The hands-on labs and deployment projects gave me the confidence to clear interviews—now working as an ML engineer!
Youssef Al-Mutairi
Highly relevant for today’s AI-driven world. Learned how to build and deploy models using Azure. The MLOps section was a game-changer. Got placed in a data science role at a top GCC fintech firm!
Khalid Al-Fahad
Very practical and industry-focused. Azure ML Studio, pipelines, and integration with cloud tools were taught with precision. Support team helped with mock interviews—now leading AI initiatives in my company. Could use more deep learning content though.
Leila Haddad
Course FAQ: AI Advanced with Azure Machine Learning
AI Advanced is a course focused on the in-depth learning of machine learning solutions using Azure Machine Learning. It covers advanced topics like automated machine learning, hyperparameter tuning, MLOps practices, and deploying models to production environments.
AI is a rapidly growing field, and expertise in designing, training, and deploying machine learning models is highly sought after by organizations. This course provides advanced skills needed to excel in machine learning roles.
You’ll learn to manage Azure ML workspaces, design machine learning solutions, deploy models to both online and batch endpoints, and implement MLOps. You’ll also gain experience in hyperparameter tuning and automated machine learning.
Graduates can pursue roles such as Machine Learning Engineer, AI Developer, Data Scientist, MLOps Engineer, or AI Solutions Architect.
Yes, it is recommended that students have knowledge of Azure and AI Fundamentals.
MLOps (Machine Learning Operations) is the practice of automating the deployment, monitoring, and retraining of machine learning models in production environments.
