Explore the foundations and frontiers of data and machine learning with this curated collection of intermediate to advanced courses. Cover cloud-based engineering, large language models, machine learning deployment, big data systems, data governance, and more to build the skills needed for careers in AI, data science, and modern enterprise data management.
Scale your ML solutions in the cloud. Use Azure Machine Learning Studio, SDK, AutoML, and Azure Pipelines to deploy and monitor models, mastering pipeline automation, Kubernetes security, and API management.
This course covers advanced topics related to deploying professional machine learning projects on SageMaker. Students will learn how to maximize output while decreasing costs. They will also learn how to deploy projects that can handle high traffic, how to work with especially large datasets, and how to approach security in machine learning AWS applications.
Master Large Language Models (LLMs) and build sophisticated text generation applications in this hands-on course. You’ll master prompt engineering techniques, optimize model selection and costs, and dive deep into Retrieval-Augmented Generation (RAG), using vector databases to ground AI responses in external data and eliminate hallucinations. Finally, you’ll evaluate system performance with RAGAS and showcase your skills by building an end-to-end RAG application.
Become an expert in cloud data engineering with this Nanodegree. Design scalable data architectures, build pipelines, and use Azure tools like Databricks and Synapse to drive powerful data insights.
This advanced Nanodegree prepares you to tackle data science at scale. Work with AI best practices, build production-ready projects, and gain the confidence to lead data-driven solutions.
Refine your machine learning skills with this AWS Machine Learning Engineer Nanodegree. Learn to deploy models on SageMaker and design automated workflows with AWS Lambda and Step Functions.
Design scalable data systems from the ground up. Practice data staging, transformation, and warehouse construction while learning to create centralized architectures for enterprise-wide insights and decision-making.
Guided by an industry expert, this course teaches you how to build scalable data infrastructure, design efficient data pipelines, and develop strategies to support evolving business needs.
Discover the frameworks and architectures behind modern big data systems. This course emphasizes NoSQL and data lake design, culminating in a project where you design an enterprise data lake solution.
Learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.
Schedule, monitor, and manage data workflows efficiently using tools like Apache Airflow. Build data pipelines by leveraging Airflow DAGs to organize tasks and utilize AWS resources such as S3 and Redshift to process and move data effectively between systems. Engage in hands-on projects to automate and maintain complex data pipelines, streamlining operations and improving data reliability. Gain expertise in workflow automation, data integration, and error handling, enabling you to construct efficient and scalable data pipelines in production environments. Ideal for data engineers and professionals aiming to advance their skills in managing and automating data workflows.
Explore the key components of modern data governance. Learn to implement metadata systems, assess data quality, and manage master data to support accurate decision-making and business intelligence.
Complement your data engineering journey with courses in software development and programming, advanced JavaScript concepts and fundamentals, and machine learning and deployment. Build full-stack coding skills, web expertise, and ML deployment confidence to accelerate your career.
Broaden your development expertise with courses in Python, DevOps, and machine learning. Strengthen your foundation in automation, cloud workflows, and scalable systems. These collections support deeper fluency in programming and infrastructure, helping you build, refine, and deploy high-performing applications across diverse tools, platforms, and challenges.
Advance your JavaScript expertise by branching into related areas like Python, machine learning, and cloud computing. These complimentary courses build cross-functional skills in backend logic, cloud architecture, and AI deployment to scale projects and grow into full-stack and cloud engineering roles.
Combining Machine Learning fundamentals with cloud platforms, DevOps, and continuous deployment courses equips you with the tools to build, deploy, and manage intelligent applications end-to-end. This integrated approach boosts efficiency, automates workflows, and drives faster innovation.
Explore all of Udacity’s Schools, consisting of hundreds of career-driven programs and courses that are designed to teach practical skills and help you learn to your full potential.