Choose AI courses that match your next step

Choose a course by the task you want to perform next and the prerequisites you already meet. An introductory AI course, a programming course, and an application-development course solve different learning problems.

The providers below publish their own learning material and completion rules. FDE Benchmark links to those resources and supplies separate practice ideas. Listing a resource does not imply a partnership, endorsement, or shared credential.

What to study, in order.

1. 01

   Select a concrete learning outcome

   Study

   Distinguish using AI at work, writing programs, integrating model APIs, and delivering a customer implementation.

   Practice

   Write one sentence describing what you want to do without assistance, such as checking a report or debugging an API request.

   Keep as evidence

   Keep that sentence and a small example task you will repeat after studying.

2. 02

   Check the prerequisites before enrolling

   Study

   Read the provider’s audience and requirements. API courses may assume Python, JSON, account access, or cloud familiarity.

   Practice

   Try a small prerequisite exercise. Can you read a file, handle an exception, and explain a JSON response?

   Keep as evidence

   Record the gap you found and choose a foundation resource before advancing if necessary.

3. 03

   Pair study with original work

   Study

   Complete exercises under the provider’s rules. Use coding assistance only in ways those rules permit.

   Practice

   Build a separate project using a new problem and your own sample data. Change a requirement and investigate one failure.

   Keep as evidence

   Keep source or workflow instructions, checked results, and an explanation of your decisions.

4. 04

   Evaluate the return on the course

   Study

   Review what the course actually assessed and what your project still cannot demonstrate.

   Practice

   Repeat your starting task, ask for feedback, and choose the next learning gap. Avoid enrolling in another course solely to accumulate badges.

   Keep as evidence

   Write a short before-and-after account with remaining weaknesses and one next action.

Which course should come first?

For everyday AI use, start with Claude Academy’s AI Fluency or OpenAI Academy’s AI Foundations. OpenAI’s catalog also offers Applied AI Foundations and Agents and Workflows as later options. For a first programming language, CS50 Python provides focused practice; CS50x offers broader computer-science and web foundations.

For existing developers, Building with the Claude API covers application integration and expects Python, JSON, and an API key. Microsoft’s generative AI application path expects programming and AI/Azure familiarity. Claude Code 101 teaches a coding tool and assumes basic editor and command-line familiarity. It serves a different purpose from learning programming itself.

Describe completion accurately

A provider’s completion badge or certificate records the achievement that provider defines. Microsoft Learn distinguishes learning achievements from credentials; CS50 separates its OpenCourseWare from verified-certificate and academic-credit routes. Check current provider requirements before paying or making a claim on your résumé.

Present a course alongside work it helped you complete. Name the provider, exact course, completion status, and project contribution. A knowledge quiz does not independently verify production reliability, customer discovery, or engineering ownership.

Budget for practice separately

Free learning content can still involve paid software or usage. Claude’s API course needs an API key; cloud labs can consume resources. Microsoft’s current FAQ says Azure exercises require subscription access and former Learn sandboxes are unavailable. Check costs, limits, and cleanup instructions before running an exercise.

Courses and resources for this path.

Choose resources for the gap you are working on. Course access and access to paid products or cloud services are separate.

Common questions.