Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.7+
• 1.2K

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

• BasicSkill Level
• 4.5+
• 1.1K

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

• IntermediateSkill Level
• 4.6+
• 929

Learn to start developing deep learning models with Keras.

• IntermediateSkill Level
• 4.6+
• 849

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

• BasicSkill Level
• 4.6+
• 633

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

• AdvancedSkill Level
• 4.7+
• 606

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

• IntermediateSkill Level
• 4.6+
• 599

Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.

• IntermediateSkill Level
• 4.5+
• 573

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

• AdvancedSkill Level
• 4.6+
• 565

Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.

• IntermediateSkill Level
• 4.7+
• 474

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

• AdvancedSkill Level
• 4.6+
• 445

Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.

• AdvancedSkill Level
• 4.4+
• 442

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

• IntermediateSkill Level
• 4.5+
• 438

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

• IntermediateSkill Level
• 4.5+
• 367

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

• IntermediateSkill Level
• 4.5+
• 364

Build AI teams that work together, automate workflows, and generate content with CrewAI.

• IntermediateSkill Level
• 4.5+
• 334

Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.

• IntermediateSkill Level
• 4.7+
• 324

Learn how to develop deep learning models with Keras.

• IntermediateSkill Level
• 4.5+
• 321

Integrate AI/LLM applications with APIs, databases, and filesystems easier than ever before with the Model Context Protocol (MCP).

• AdvancedSkill Level
• 4.4+
• 299

Build AI agentic workflows that can plan, search, remember, and collaborate, using LlamaIndex.

• AdvancedSkill Level
• 4.8+
• 237

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

• IntermediateSkill Level
• 4.6+
• 221

Learn efficient techniques in pandas to optimize your Python code.

• AdvancedSkill Level
• 4.3+
• 219

Learn how to design, automate, and monitor scalable forecasting pipelines in Python.

• AdvancedSkill Level
• 4.5+
• 180

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

• IntermediateSkill Level
• 4.4+
• 175

Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.

• IntermediateSkill Level
• 4.5+
• 164

Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.

• IntermediateSkill Level
• 4.2+
• 163

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

• IntermediateSkill Level
• 4.7+
• 153

Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.

• IntermediateSkill Level
• 4.8+
• 141

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

• IntermediateSkill Level
• 4.7+
• 122

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

• IntermediateSkill Level
• 4.3+
• 107

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.