Data, AI, and Cloud Courses

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

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

This course introduces dbt for data modeling, transformations, testing, and building documentation.

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

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

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

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

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

Learn how to analyze a SQL table and report insights to management.

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

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

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

Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.

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

Learn how to clean and prepare your data for machine learning!

Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.

Learn how to work with dates and times in Python.

Master strategic data management for business excellence.

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

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

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.

Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!

Get to grips with the foundational components of LangChain agents and build custom chat agents.