Data, AI, and Cloud Courses

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

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

In this course you will learn the basics of machine learning for classification.

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

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

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

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

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

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

Learn to process, transform, and manipulate images at your will.

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Learn to start developing deep learning models with Keras.

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

Master sampling to get more accurate statistics with less data.

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

Transform almost any dataset into a tidy format to make analysis easier.

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

Create new features to improve the performance of your Machine Learning models.