AI Courses Under 5 Hours
Quick courses you can finish in a weekend afternoon. These bite-sized AI courses deliver focused, practical knowledge in under five hours. Ideal for getting up to speed on a specific tool, technique, or concept without committing to a lengthy program.
Intro to Machine Learning
Kaggle
Intro to Deep Learning
Kaggle
ChatGPT Prompt Engineering for Developers
DeepLearning.AI
LangChain for LLM Application Development
DeepLearning.AI
Building Systems with the ChatGPT API
DeepLearning.AI
Finetuning Large Language Models
DeepLearning.AI
LangChain: Chat with Your Data
DeepLearning.AI
AI Agents in LangGraph
DeepLearning.AI
Vector Databases: from Embeddings to Applications
DeepLearning.AI
Quality and Safety for LLM Applications
DeepLearning.AI
Building and Evaluating Advanced RAG Applications
DeepLearning.AI
How Diffusion Models Work
DeepLearning.AI
Preprocessing Unstructured Data for LLM Applications
DeepLearning.AI
Pair Programming with a Large Language Model
DeepLearning.AI
Knowledge Graphs for RAG
DeepLearning.AI
Building Multimodal Search and RAG
DeepLearning.AI
Automated Testing for LLMOps
DeepLearning.AI
Build an LLM App with LangChain.js
DeepLearning.AI
Intermediate Machine Learning
Kaggle
Natural Language Processing
Kaggle
Computer Vision
Kaggle
Pandas
Kaggle
Data Visualization
Kaggle
Intro to AI Ethics
Kaggle
Deep Learning in Python
DataCamp
Introduction to Natural Language Processing in Python
DataCamp
Supervised Learning with scikit-learn
DataCamp
Unsupervised Learning in Python
DataCamp
Image Processing in Python
DataCamp
Working with the OpenAI API
DataCamp
Artificial Intelligence Foundations: Machine Learning
LinkedIn Learning
Machine Learning with Python: Foundations
LinkedIn Learning
NLP with Python for Machine Learning Essential Training
LinkedIn Learning
Introduction to Generative AI
LinkedIn Learning
Deep Learning: Getting Started
LinkedIn Learning
Functions, Tools and Agents with LangChain
DeepLearning.AI
Large Language Models with Semantic Search
DeepLearning.AI
Open Source Models with Hugging Face
DeepLearning.AI
Quantization Fundamentals with Hugging Face
DeepLearning.AI
Serverless LLM Apps with Amazon Bedrock
DeepLearning.AI
Intro to SQL
Kaggle
Advanced SQL
Kaggle
Intro to Game AI and Reinforcement Learning
Kaggle
Prompt Engineering: How to Talk to the AIs
LinkedIn Learning
Python for Data Analysis with Pandas
LinkedIn Learning
Ethics in the Age of Generative AI
LinkedIn Learning
Generative AI Concepts
DataCamp
Introduction to Deep Learning with PyTorch
DataCamp
Responsible AI Principles and Practices
Microsoft Learn
Microsoft Copilot Foundations
Microsoft Learn
Prompt Engineering with Llama 2 & 3
DeepLearning.AI
Building Event-Driven Generative AI Applications
DeepLearning.AI
MLOps Essentials: Model Deployment and Monitoring
LinkedIn Learning
Artificial Intelligence for Business Leaders
LinkedIn Learning
Introduction to Reinforcement Learning
DataCamp
Extreme Gradient Boosting with XGBoost
DataCamp
Geospatial Analysis
Kaggle
Carbon Aware Computing for GenAI Developers
DeepLearning.AI
Computer Vision: Deep Learning with Python
LinkedIn Learning
Introduction to Generative AI Studio
Google Cloud
Efficiently Serving LLMs
DeepLearning.AI
Multi AI Agent Systems with crewAI
DeepLearning.AI
Understanding and Applying Text Embeddings
DeepLearning.AI
Data Cleaning
Kaggle
Azure OpenAI Service Fundamentals
Microsoft Learn
TensorFlow: Essential Training
LinkedIn Learning
Introduction to Statistics in Python
DataCamp
Introduction to Gemini API
Google Cloud
Introduction to On-Device AI
DeepLearning.AI
Preprocessing for Machine Learning in Python
DataCamp
LangChain Essential Training
LinkedIn Learning
LLMOps
DeepLearning.AI
Introduction to LLMs in Python
DataCamp
PyTorch Essential Training: Deep Learning
LinkedIn Learning
Frequently Asked Questions
What can I realistically learn in under 5 hours?
In under 5 hours you can learn a specific skill like prompt engineering, get introduced to a framework, or understand a key AI concept. These courses focus on practical, immediately applicable knowledge rather than broad theory.
Are these courses too short to be useful?
No. Short courses are designed to be focused and efficient. They cut out filler and deliver the most important concepts and hands-on practice. Many professionals prefer short courses for targeted skill building.
Can I combine multiple short courses into a learning path?
Absolutely. Many learners take several short courses across related topics to build a comprehensive understanding. This approach lets you customize your learning path based on your specific goals.