STUDY PATH

Developer to AI engineer

Every question and every answer is checked twice before you see it.

For software developers: strengthen your Git and collaboration skills, learn large language models, then build AI applications and agents.

See the roadmapAsk us which step to start with
4 steps5 certifications25 practice tests1,450 questions

Your roadmap

Follow the steps in order. Inside a step, choose the option that fits your platform or role. Open any card for its practice tests, study plan and what to take next.

  1. 1

    Strengthen your toolchain

    GitHub fundamentals: repositories, collaboration, Actions and security features.

  2. 2

    Learn how LLMs work

    Generative AI and large language model fundamentals.

  3. 3

    Build AI applications

    Build AI apps and agents on your platform.

    Choose by platform

  4. 4

    Design at professional level

    Design generative AI applications on AWS.

Who this path is for

Software developers and engineers adding AI to their skill set.

Roles this path points toward

  • AI application developer
  • Generative AI engineer
  • Software engineer building AI features
  • AI solutions architect

Common role titles. A certificate supports your application and does not guarantee a job.

Beyond our catalogue

  • AWS Certified Solutions Architect - Associate

Run by their providers. Check their sites for current requirements.

Not sure where to start? Talk to us.

Tell us your background and goal and we will point you to the right first step.

Send us a messageeducation@bereadytechnology.com.au

Not affiliated with, endorsed by or sponsored by any certification vendor or exam body. Certification names, exam codes and product names are trademarks of their respective owners and are used only to identify the exam a practice product prepares for. Our questions are original and are not actual exam questions. Exams and prerequisites change, so always confirm on the provider’s official site.