Data, AI, and Cloud Courses

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

This introductory and conceptual course will help you understand the fundamentals of data warehousing.

Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.

Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.

Discover what it takes to scale AI agents, with a little help from frameworks like MCP and A2A.

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

Discover how the Pinecone vector database is revolutionizing AI application development!

Learn about Large Language Models (LLMs) and how they are reshaping the business world.

Learn about data science for managers and businesses and how to use data to strengthen your organization.

Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

Discover how to make better business decisions by applying practical data frameworks—no coding required.

Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.