Udemy · E SKILLIFY and Eng. Mariam Omar
OpenAI & ChatGPT API's: Expert Fine-tuning for Developers
Explore Mariam Omar’s hosted fine-tuning course on data cleaning, formatting, Python training workflows and checking tuned-model results.
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 · E SKILLIFY and Eng. Mariam Omar
Explore Mariam Omar’s hosted fine-tuning course on data cleaning, formatting, Python training workflows and checking tuned-model results.
Coursera · Coursera — Professionals in the Industry
Explore this intermediate PyTorch course on Lightning, callbacks, checkpointing, debugging training behavior and fine-tuning pretrained models through labs.
Coursera · Microsoft — Microsoft
Microsoft connects GitHub Copilot with application-building tasks in VS Code, then considers more advanced practical coding workflows.
Coursera · IBM — Kang Wang
Explore IBM’s LangChain project for document loading, retrieval-augmented generation and a question-answering bot, with earlier engineering courses recommended.
Coursera · Dr. Jules White, Vanderbilt University
Vanderbilt’s course develops reusable prompt patterns through examples, assignments and a final prompt-based application.
Udemy · Navid Shirzadi, PhD, P.Eng.
A beginner introduction to prompt types, context, iteration and hallucination reduction across general-purpose AI assistants.
Udemy · Steve Ballinger, MBA
A short workplace prompting course covering clearer instructions, reusable templates and responsible revision of everyday AI outputs.
Udemy · Start-Tech Academy, Abhishek Bansal and Pukhraj Parikh
Study structured prompting, response controls and prompt evaluation, including comparison workflows and PromptFoo examples.
Udemy · RPATech - Automating Intelligence and Aahana Singh
Learn ChatGPT prompt design through role-based examples, prompting frameworks and context engineering, with a focus on practical use.
Coursera · Duke University — Noah Gift
Explore Duke’s Python-for-MLOps course on functions, classes, testing, Pandas, NumPy and APIs, with some Python and development-tool experience expected.