Data, AI, and Cloud Courses

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

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.

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

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

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

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

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

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!

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.

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

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

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

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.

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

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.

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

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.

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

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

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