Microsoft Cloud Workshop: Machine Learning Course Overview
The Microsoft Cloud Workshop: Machine Learning Course Overview equips professionals with essential skills in machine learning and cloud technologies. Designed for data scientists, IT professionals, and software developers, this course covers foundational concepts and practical applications, empowering participants to leverage Microsoft Azure for innovative solutions and data-driven decision-making in their organizations.
Course outline & what you'll learn
Overview of machine learning concepts
- Types of machine learning: supervised, unsupervised, and reinforcement learning
- Introduction to Azure Machine Learning services
- Setting up an Azure Machine Learning workspace
- Data collection and cleansing techniques
- Exploratory data analysis using Azure tools
- Selection of algorithms and frameworks
- Model training and validation processes
- Deploying models as web services
- Monitoring and updating deployed models
- Introduction to MLOps principles
- Implementing continuous integration/continuous deployment (CI/CD) for machine learning
- Understanding bias and fairness in machine learning models
- Best practices for ethical AI development
- Analyzing successful machine learning projects
- Exploring industry-specific applications of machine learning in Azure
- Interactive labs for each module
- Building and deploying a sample machine learning project
- Recap of key concepts learned
- Resources for further learning and certification options
Why train with Traincrest
This Microsoft course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.