Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.6+
• 3K

In this course, youll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

• IntermediateSkill Level
• 4.7+
• 3K

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

• AdvancedSkill Level
• 4.6+
• 2.9K

Learn how to implement and schedule data engineering workflows.

• IntermediateSkill Level
• 4.5+
• 2.9K

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

• BasicSkill Level
• 4.6+
• 2.8K

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

• IntermediateSkill Level
• 4.5+
• 2.8K

Leverage the OpenAI API to get your AI applications ready for production.

• BasicSkill Level
• 4.5+
• 2.8K

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

• BasicSkill Level
• 4.5+
• 2.7K

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

• BasicSkill Level
• 4.6+
• 2.7K

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

• IntermediateSkill Level
• 4.6+
• 2.7K

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

• IntermediateSkill Level
• 4.6+
• 2.7K

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

• BasicSkill Level
• 4.7+
• 2.6K

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

• BasicSkill Level
• 4.5+
• 2.6K

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

• IntermediateSkill Level
• 4.5+
• 2.6K

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

• IntermediateSkill Level
• 4.7+
• 2.6K

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

• IntermediateSkill Level
• 4.5+
• 2.6K

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

• IntermediateSkill Level
• 4.5+
• 2.5K

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

• IntermediateSkill Level
• 4.6+
• 2.5K

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

• BasicSkill Level
• 4.4+
• 2.4K

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

• BasicSkill Level
• 4.6+
• 2.4K

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

• IntermediateSkill Level
• 4.6+
• 2.4K

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

• IntermediateSkill Level
• 4.7+
• 2.3K

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

• BasicSkill Level
• 4.6+
• 2.3K

Improve data literacy skills by analyzing remote working policies.

• IntermediateSkill Level
• 4.5+
• 2.3K

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

• IntermediateSkill Level
• 4.6+
• 2.2K

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

• BasicSkill Level
• 4.6+
• 2.2K

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

• BasicSkill Level
• 4.6+
• 2.2K

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

• IntermediateSkill Level
• 4.6+
• 2.2K

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

• BasicSkill Level
• 4.5+
• 2.2K

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

• IntermediateSkill Level
• 4.6+
• 2.2K

Learn how to work with dates and times in Python.