Data, AI, and Cloud Courses

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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.