This course provides you with the essential skills to design and implement end-to-end data science solutions using Azure Machine Learning. Building on your existing knowledge of Python and machine learning, you’ll learn to effectively manage the critical stages of the machine learning lifecycle—data ingestion, preparation, model training, deployment, and monitoring.
Through hands-on exercises with Azure Machine Learning and MLflow, you’ll gain valuable experience in streamlining workflows and deploying machine learning solutions seamlessly at cloud scale. By the end of the course, you’ll be ready to implement, manage, and scale machine learning operations effectively in the cloud
• Set up a data science environment on Azure.
• Run experiments and train predictive models.
• Leverage Azure Databricks for large-scale data processing.
• Explore machine learning models and AutoML features.
• Fine-tune models using Azure Machine Learning Designer.
• Publish models with no-code options.
• Utilize the Azure Machine Learning Python SDK.
• Manage data, models, and ensure data privacy.
• Deploy machine learning pipelines and real-time services
• Process large datasets using Apache Spark.
• Build and query Delta Lakes, work with UDFs for efficient analysis.
• Review critical concepts for the DP-100 exam.
• Prepare for the Designing and Implementing Data Science Solutions on Azure
certification.
Upon completing the Artificial Intelligence courses at Netsmartz School, learners will gain the following benefits:
Earn a prestigious course completion badge or certificate, available on the Netsmartz School and Microsoft, highlighting your proficiency in AI
Master key concepts and gain hands-on experience in Artificial Intelligence, making you well-equipped for real-world applications
Enhance your career prospects by showcasing your expertise in AI to potential employers and staying ahead in today's rapidly evolving tech landscape
Our programs are crafted with insights from top industry minds and educators, ensuring you gain skills that truly matter in the real world.
Take on projects that mirror the real challenges of the industry, work with real data, and build practical skills that lead to job-ready expertise.
Gain valuable insights from leading practitioners who bring industry use cases, case studies, and proven strategies into your classroom
Stay on track with 24/7 access to mentors and a community of peers, all ready to help you overcome any challenges along the way.
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