Artificial Intelligence

Generative AI — Learn to build applications and create content using large language models and other generative AI tools.

Generative AI Foundations: Master the Basics

Generative AI
Learn the core concepts of Large Language Models and prompt engineering to confidently use artificial intelligence in your daily work.
★ 4.5 (2,497)

AI Prompt Engineering: Master Generative AI

Generative AI
A step-by-step guide for beginners to effectively communicate with artificial intelligence to generate text, images, and code.
★ 4.5 (2,948)

AI Development with Python: Generative AI and Reinforcement Learning

Generative AI
Build intelligent systems using Python and AWS while mastering prompt engineering, generative models, and autonomous agents.
★ 4.5 (1,578)

Building AI Applications with Large Language Models

Generative AI
A beginner's guide to creating intelligent apps using prompt engineering, Retrieval-Augmented Generation (RAG), and AI agents.
★ 4.7 (1,362)

Python AI Engineering: From Data Science to Generative AI

Generative AI
Build a solid foundation in data science, classical machine learning, and modern generative AI using Python to design intelligent, data-driven applications.
★ 4.6 (1,386)

Introduction to Generative AI APIs

Generative AI
A beginner-friendly guide to integrating powerful text, image, and voice generation models into your own applications.
★ 4.5 (2,585)

Generative AI for Content Creation: A Beginner's Guide

Generative AI
Discover how to use artificial intelligence to write engaging text, automate daily tasks, and generate stunning images without prior technical experience.
★ 4.5 (1,930)

Building Generative AI Apps with LangChain and Hugging Face

Generative AI
Learn to design, build, and optimize intelligent applications and RAG pipelines using LangChain and Hugging Face, starting from the absolute basics.
★ 4.6 (1,119)

Full-Stack Generative AI and AI Agents with Python

Generative AI
Build and deploy intelligent applications using LangChain, LangGraph, vector databases, and modern Python workflows.
★ 4.5 (7,352)

Generative AI, LLM Apps, and AI Agents with Cursor AI

Generative AI
Build intelligent LLM applications, multi-agent systems, and functional SaaS projects using modern generative AI concepts and Cursor AI, even without deep coding experience.
★ 4.2 (4,291)

Prompt Engineering: Frameworks and Techniques for LLMs

Generative AI
Learn to design, optimize, and evaluate prompts using structured frameworks to get reliable, high-quality outputs from large language models.
★ 4.5 (5,028)

AI Image and Video Generation: Stable Diffusion and Prompt Engineering

Generative AI
Learn to generate high-quality AI images and videos using Stable Diffusion, Automatic1111, and strategic prompt engineering through structured text-based guides.
★ 4.4 (190)

Generative AI for Content Creation: Automate Text, Images, and Media

Generative AI
Learn to leverage tools like ChatGPT, Midjourney, and Stable Diffusion to automate your writing, design, and media workflows without any prior technical experience.
★ 4.5 (7,194)

Building Generative AI Applications with Python and LangChain

Generative AI
Learn to build and deploy intelligent text-based applications using large language models, prompt engineering, and modern retrieval-augmented generation (RAG) workflows.
★ 4.6 (1,196)

LangChain and Pinecone for Python: Build Generative AI Applications

Generative AI
Develop smart LLM applications, custom QA chatbots, and retrieval-augmented generation systems using Python, LangChain, and Pinecone vector databases.
★ 4.5 (4,825)

RAG and Agentic AI with LangChain, LangGraph, and LangSmith

Generative AI
Build, optimize, and deploy advanced Retrieval-Augmented Generation systems and autonomous AI agents using modern LLM orchestration frameworks.
★ 4.6 (2,886)

OpenAI API with Python: Practical AI Application Development

Generative AI
Learn to integrate GPT text generation, embeddings, and image creation into your Python applications through structured written guides and practical code-based projects.
★ 4.5 (2,979)

Designing Generative AI Architectures with LLMs and RAG

Generative AI
Learn to design and integrate intelligent language models, prompt pipelines, and vector databases into modern software applications.
★ 4.5 (6,674)

Applied AI and LLM Development: Build 100 Projects in Python

Generative AI
Master local LLMs, LangChain, and Streamlit by building a massive portfolio of practical applications, from intelligent chatbots to autonomous agents.
★ 4.2 (150)

Practical Azure OpenAI and Prompt Engineering

Generative AI
Master Azure OpenAI and prompt engineering to build intelligent text-based applications and design effective prompts using modern AI models.
★ 3.8 (197)

RAG Application Development with LangChain and Vector Databases

Generative AI
Master the art of connecting Large Language Models to external data sources to build reliable, context-aware AI applications.
★ 4.4 (4,777)

Private AI with Open-Source LLMs: Local Deployment, RAG, and Agents

Generative AI
Learn to run secure, uncensored language models locally and build private AI applications using Retrieval-Augmented Generation, vector databases, and intelligent agents.
★ 4.6 (1,867)

LangChain Essentials: Build Generative AI Apps and Agents

Generative AI
Learn to build intelligent Generative AI applications, conversational agents, and custom retrieval pipelines using the powerful LangChain framework.
★ 4.3 (323)

Local LLM Development with Ollama and Python

Generative AI
Learn to deploy private language models locally and build custom AI applications using Ollama, Python, and modern RAG techniques.
★ 4.7 (613)
Showing 24 of 374 courses