Data, AI, and Cloud Courses

Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

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

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

Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

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

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

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

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

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

Create interactive data visualizations in Python using Plotly.

Understand the fundamentals of Machine Learning and how its applied in the business world.

Learn to retrieve and parse information from the internet using the Python library scrapy.

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

Learn to combine data across multiple tables to answer more complex questions with dplyr.

Learn the fundamentals of working with big data with PySpark.

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

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

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

Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!

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

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

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

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

In this course youll learn the basics of working with time series data.

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.