Data, AI, and Cloud Courses

Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

Learn to perform linear and logistic regression with multiple explanatory variables.

Master the key concepts of data management, from life cycle stages to security and governance.

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

Master AWS security, governance, and cost optimization to prepare for the Cloud Practitioner certification.

Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

Explore Azure services like Compute, Storage, and Automation, with hands-on experience.

Learn the fundamentals of data visualization using Google Sheets.

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

Discover how Marketing Analysts use data to understand customers and drive business growth.

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.

Learn how to clean data with Apache Spark in Python.

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

Learn to start developing deep learning models with Keras.

Master sampling to get more accurate statistics with less data.

Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

Learn how to work with Claude using the Anthropic API to solve real-world tasks and build AI-powered applications.