Prompt engineering course: the 10 best in 2026

Best for beginners who want a broad practical tour from basics to advanced. It covers prompt crafting basics, tokenisation and chained prompting, prompts for specific use cases, creative content and brainstorming, automating tasks and decision-making, ethics and bias, and ongoing updates on new tools.

It has 4.5 stars from more than 7,600 reviews and more than 63,000 students. It runs about eight hours with three quizzes and a practice test, and was updated in October 2026.

Best for data and business professionals who want one structured method. Maven Analytics reviews generative AI basics, tokens and context windows, then teaches the six-part BRIDGE framework, best practices with memories, templates, projects and custom GPTs, and advanced techniques like chain-of-thought, prompt branching, XML tagging and multi-shot prompting.

It has 4.5 stars from more than 15,000 reviews and more than 32,000 students. It runs under three hours with four quizzes, a 50-page ebook and a final project analysing customer feedback for a café, and was updated in October 2026.

Best for busy professionals who want reusable prompt patterns fast. Steve Ballinger covers persona prompts, question refinement, cognitive verifier, flipped interaction and other patterns, templates for how-tos, summaries, writing and translation, step-by-step and chain-of-thought prompts, ReAct, zero-shot and few-shot prompting, and prompts for image tools.

It has 4.5 stars from more than 15,000 reviews and more than 55,000 students. It runs about two hours and was updated in June 2026.

Best for beginners who want prompting plus hands-on AI tools. It covers generative AI fundamentals and prompting techniques, ChatGPT Projects, Canvas and custom GPTs, automations with Zapier and n8n, building apps with Lovable, Copilot in Excel, Google AI Studio, Copy AI and voice AI agents.

It has 4.6 stars from more than 19,000 reviews and more than 69,000 students. It runs about 21 and a half hours with seven quizzes and 46 resources, and was updated in September 2026. We lowered it slightly because it covers far more than prompting.

Best for creators who want to use ChatGPT, DALL-E and Sora across many tasks. It covers choosing between ChatGPT models, content creation, research summaries, planning and data analysis, visuals with DALL-E and video with Sora, and building an AI assistant with Python, Zapier and Make, with projects such as a prompt library and an AI productivity system.

It has 4.9 stars, the highest rating here, but from only 608 reviews and more than 2,300 students. It runs about 13 hours and was updated in February 2026.

Best for developers, data scientists and product managers who want advanced, measurable prompting. It covers chain-of-thought, step-back and role prompting, prompt templates, tree-of-thought, skeleton-of-thought and program-of-thought prompting, tuning temperature, top-p and other settings, and evaluating prompts with tools like PromptFoo.

It has 4.5 stars from more than 14,000 reviews and more than 68,000 students. It runs about three hours with seven quizzes and was updated in September 2026.

Best for complete beginners who want generative AI context alongside prompting. It covers the fundamentals of generative AI, ChatGPT, large language models and prompt engineering, industry use cases, ethics and trends, plus an optional section where you build a chatbot.

It has 4.5 stars from more than 131,000 reviews and more than 452,000 students. It runs about four and a half hours with four quizzes and was updated in September 2026. We lowered it because prompt engineering is only one part of it.

Best for non-technical professionals who want skills that work in any AI tool. It covers how LLMs work, zero-shot, few-shot, chain-of-thought and role prompting, giving the right context, testing and tuning prompts, meta prompting, reducing hallucinations, ethical use and prompting for text, code and images, with optional advanced modules.

It has 4.5 stars from more than 35,000 reviews and more than 86,000 students. It runs about four hours and was updated in September 2026.

Best for working professionals who want better results from ChatGPT without coding. It moves from prompt fundamentals and crafting to frameworks such as CRISPE, RICCE, role-based, chain-of-thought and few-shot prompting, then context engineering with memory, projects and custom GPTs, creating documents and presentations, code and data, images, and scheduled tasks.

It has 4.5 stars from more than 65,000 reviews and more than 134,000 students. It runs about four hours with live demonstrations of every concept, and was updated in October 2026. AI was used in producing the course.