Udemy – Certification in Machine Learning and Data Science with AWS

Take the next step in your cloud-powered AI and machine learning journey! Whether you’re an aspiring data scientist, ML engineer, developer, or business leader, this course will equip you with the skills to harness AWS for scalable, real-world data science and machine learning solutions. Learn how services like SageMaker, Glue, Redshift, and QuickSight are transforming industries through data-driven intelligence, automation, and predictive analytics.

Guided by hands-on projects and real-world use cases, you will:

• Master foundational data science workflows and machine learning principles using AWS cloud services.
• Gain hands-on experience managing data with S3, Redshift, Glue, and building models with AWS SageMaker.
• Learn to train, optimize, and deploy ML models at scale using advanced tools like AutoML, hyperparameter tuning, and deep learning frameworks.
• Explore industry applications in e-commerce, finance, healthcare, and manufacturing using AWS AI/ML solutions.
• Understand best practices for cost management, security, and automation in cloud-based data science projects.
• Position yourself for a competitive advantage by building in-demand skills at the intersection of cloud computing, AI, and machine learning.

• Aspiring data scientists, ML engineers, and AI practitioners who want to build real-world machine learning solutions using AWS.
• Developers and software engineers looking to integrate scalable data pipelines and ML models into cloud-native applications.
• Analysts, business intelligence professionals, and visualization experts aiming to leverage AWS tools like QuickSight and Athena for data-driven insights.
• IT professionals, system architects, and cloud engineers interested in managing secure, cost-effective, and optimized AI/ML workflows on AWS.
• Educators, researchers, and students who want hands-on experience with industry-standard AWS tools for machine learning and analytics.