DeepLearning.AI Short Courses

Free coursesFree learningLevel: Intermediate

DeepLearning.AI Short Courses

4.5/52dm rating

High-quality short courses; currently free during the beta phase.

A library of short courses on generative AI, agents and prompting from Andrew Ng's DeepLearning.AI, free to try, each course only a few hours.

Official site How to use it

Overview

DeepLearning.AI is an AI education organization founded by Andrew Ng (who also co-founded Coursera). The Short Courses section has over a hundred short courses, often made with tech companies such as OpenAI, Anthropic, Google, LangChain or crewAI, each focused on exactly one specific skill.

According to the current course page, access to content is open for free during the beta phase of the new learning platform. Graded assignments and the "accomplishment" (recognition of completion for your profile) are tied to the paid Pro plan, so you can watch videos and run sample code at no cost, but to get official recognition you need to upgrade.

For business owners and SME staff, it is a good place to quickly grasp concepts used in practice: writing prompts, building agents, connecting AI to data via MCP. The content is in English and technical, so it suits operations leads or internal IT best.

Highlights

Short courses, quick to learn

Each course takes about one to a few hours; for example ChatGPT Prompt Engineering for Developers runs about 1 hour 40 minutes with 9 lecture videos.

Instructors from the tech companies themselves

Many courses are taught directly by engineers from OpenAI, Anthropic, Google and LangChain together with the DeepLearning.AI team.

Sample code you can run right away

Most courses come with example notebooks to try directly in the browser, with no complex installation.

Up-to-date trends

The catalog includes very recent topics such as MCP, Claude Code, multi-agent systems and long-term memory for agents.

Completion recognition requires the Pro plan

Graded assignments and accomplishments belong to the Pro plan, while learning the content is currently open for free during the beta phase.

What it's for

Standardizing how prompts are written

Office staff take the prompt engineering course to write clearer requests for ChatGPT and Claude, reducing time spent revising.

Learning about AI agents before investing

A business owner watches agent courses such as Multi AI Agent Systems with crewAI to understand what agents can do before hiring an implementation team.

Connecting AI to internal data

The IT lead takes the course MCP: Build Rich-Context AI Apps with Anthropic to learn how to let AI read existing documents and systems.

Topic-based internal training

A team lead picks one short course per week as shared learning material for the team.

Developers speeding up with AI

In-house devs take the course Claude Code: A Highly Agentic Coding Assistant to use AI to help write and fix code.

How to use it

1
Open the course library
Go to deeplearning.ai/courses and filter by Short Courses to see the list of short courses.
2
Choose a course that fits your level
Read the description, level (Beginner, Intermediate) and prerequisites; beginners should start with the prompt engineering course.
3
Sign up and click Learn for Free
Create an account then click the free learning button to open the course videos and notebooks.
4
Watch videos and run sample code
Alternate: after each lesson, rerun the notebook and try swapping in data or prompts from your own company.
5
Take notes and apply right away
Write down 3 to 5 things applicable to your work and try them within the week on a real process.

Video guides

ChatGPT Prompt Engineering for Developers: A short course from OpenAI and DeepLearning.AI
DeepLearningAI

Real-world example

Illustrative scenario

A small e-commerce company in Ho Chi Minh City wants its customer care staff to use AI to draft replies faster. The team lead has the whole team take the ChatGPT Prompt Engineering for Developers course over two afternoons; each person rewrites their complaint-reply prompts according to the principles learned, then the group compares and picks a shared set of template prompts. This prompt set is saved in internal documentation so new hires can use it right away.

Tips & notes

Start with the foundational course
Learn prompt engineering first, then move to agents or MCP, since later courses assume you already know how to communicate with models.
Turn on subtitles and slow down
The videos are in English; turn on subtitles and watch at a slower speed if needed, using a translation tool for terminology.
Don't just watch, run the code
The biggest value is in the sample notebooks; replace the data with real examples from your business.
Check the free conditions
The free policy is tied to the beta phase, so review the course page before planning long-term training.

FAQ

Are DeepLearning.AI short courses free?

The course page currently states that content access is open for free during the platform's beta phase. Graded assignments and completion recognition belong to the paid Pro plan.

Is there a free certificate?

No. The accomplishment for your profile is tied to the Pro plan, so to get official recognition you need to upgrade.

Can I learn without programming?

Some courses only need basic Python, for example the Beginner-level prompt engineering course. People who don't code can still watch the videos to understand the concepts, but will find it hard to make use of the notebooks.

Is there a Vietnamese version?

The course page does not announce a Vietnamese version; the content is mainly in English.