Enterprise Academy · Data, Cloud & AI

AI Engineering, Governance & Assurance

649 words3 min read

Three courses spanning the full arc of applied and governed AI - build AI and ML from first principles to your own GPT, master AI governance and responsible AI across a 559-chapter certification, and bring AI to software testing and QA.

3
Courses
700+
Chapters
Build
to your own GPT
Govern
& assure AI
What you'll be able to do

Build AI, govern AI, and test AI

This track covers applied and governed AI end to end. Engineers build modern AI from first principles to a working GPT and learn to ship it. Governance leaders operationalize responsible AI and the major regulatory frameworks across a full certification. QA and testing professionals apply AI across the testing lifecycle and learn to test AI systems themselves for bias, drift, and accuracy.

Courses in this track

Three courses

Each is a standalone course with its own detailed page and downloadable brochure. Enquire about any course to scope enrolment or a corporate cohort.

8 tracks · 64 chapters

AI/ML Advanced Course

AI and ML from first principles to the frontier - fully code-level, in your browser, even offline. A true beginner finishes by training their own GPT.

6 phases · 559 chapters

AI Governance & Responsible AI Course

A complete AI governance and responsible-AI certification program - 559 chapters across six phases, from literacy to mastery, for the leaders who own AI risk.

100 chapters · 5 levels

AI for QA

A role-based AI program that enables QA teams to use Generative AI, machine learning, and intelligent automation to test faster and smarter - and to test AI systems themselves - without becoming data scientists.

Who it's for

Audience

  • AI/ML engineers and beginners building AI
  • AI governance, risk, and compliance leaders
  • QA engineers, SDETs, and test leads
  • Enterprise and corporate learning teams
Where it leads

Career paths

ML EngineerAI Governance LeadResponsible AI PractitionerAI QA EngineerAI Assurance Lead
FAQ

AI Governance track - answered

What does the AI Governance track cover?

Three courses: the AI/ML Advanced Course (build AI from first principles to your own GPT), the AI Governance & Responsible AI Course (a 559-chapter governance certification), and AI for QA (AI for software testers and for testing AI systems).

Which course should I start with?

Engineers and beginners who want to build AI start with the AI/ML Advanced Course; governance, risk, and compliance leaders take AI Governance & Responsible AI; QA and testing professionals take AI for QA.

Are these self-paced or cohort-based?

Both. Each course is self-paced with lifetime access, and available as a mentor-led cohort and as private corporate or enterprise delivery.

Do you offer corporate and enterprise training?

Yes. Every course can be delivered as a private corporate cohort or enterprise-custom program. Use the enquire buttons to scope it.

Is certification included?

The AI Governance & Responsible AI Course is a certification program; all three award a Durga Analytics certificate and digital badge.

Do you provide brochures?

Yes. Each course has its own downloadable PDF brochure, linked from its card and its detail page.

Advance your AI capability

Take a single course or the full track, individually or as a tailored corporate cohort.