Udemy · Gal Peretz
Train OpenSource Large Language Models from Zero to Hero
Explore Gal Peretz’s LLM training course on supervised tuning, LoRA, QLoRA, DoRA, preference alignment and training acceleration.
Compare AI courses for agents, RAG, prompt engineering, n8n, AI coding tools, and machine learning, with verified provider links and access notes.
Artificial intelligence study has several starting points. Using ChatGPT at work, training a neural network, and building an agent are different tasks with different prerequisites. This collection includes paid Udemy courses and free provider curricula so you can choose a route around a specific skill.
For a first overview, choose AI fundamentals or generative AI. For business automation without a programming background, compare n8n courses. Python developers can move into LLM engineering, retrieval-augmented generation, LangChain, LangGraph, and MCP. Working developers can study Claude Code, Cursor, or GitHub Copilot. Check API charges, hardware needs, tool versions, and the practice workload before enrolling.
Give your project an observable result: an answer supported by a document, an automation with a tested failure path, or a model evaluated on held-out data. Keep a record of mistakes and cost alongside successful demonstrations. A course certificate confirms completion under the provider's terms; professional cloud certification requires a separate examination.
Udemy · Gal Peretz
Explore Gal Peretz’s LLM training course on supervised tuning, LoRA, QLoRA, DoRA, preference alignment and training acceleration.
Udemy · Stephane Maarek
Explore Stephane Maarek’s AWS AI Practitioner AIF-C01 preparation, covering AI concepts, Bedrock, Amazon Q, and exam-focused practice notes.
Udemy · Krish Naik and KRISHAI Technologies
Explore Krish Naik’s RAG bootcamp for parsing, embeddings, hybrid search, vector stores, and agentic retrieval, with Python and usage cost notes.
Coursera · EDUCBA — EDUCBA
Explore EDUCBA’s AI fundamentals course on intelligent reasoning, search, supervised and unsupervised learning and reinforcement-learning concepts.
Coursera · Coursera — Soheil Haddadi, Reza Moradinezhad
Explore Coursera’s business-focused LLM course for capabilities, limitations, practical opportunities and an implementation roadmap for a defined business idea.
DataCamp · Alex Banks
A short interactive introduction to prompt clarity, examples and response evaluation, with exercises inside the course environment.
Coursera · Microsoft — Microsoft
Microsoft introduces Copilot’s generative AI uses across marketing functions and connects those uses with the development of a marketing strategy.
Coursera · Scrimba — Maham Codes
Scrimba introduces Claude Code through JavaScript projects, including calendar-app work, hooks, commands, agents and MCP-based tool connections.
Coursera · Scrimba — Maham Codes
Explore Scrimba’s Cursor course on AI chat, agent-assisted application work, debugging, iteration and advanced editor features.
Coursera · Scrimba — Maham Codes
Scrimba compares Copilot completion, chat, editing and agent workflows, then applies them to projects, commits, pull requests and MCP connections.