AI Engineering, Governance & Assurance
Four courses spanning the full arc of applied and governed AI - build AI and ML from first principles, govern it responsibly, apply it in QA, and engineer a production AI platform for investment management.
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.
Four 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.
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.
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.
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.
AI Platform Engineering for Investment Management
Architect, build and operate a governed AI platform for investment research: retrieval beyond basic RAG, agent runtime and control, evaluation discipline, financial-services governance, Kubernetes and GitOps delivery, and production observability. One cumulative capstone under injected failure.
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
Career paths
AI Governance track - answered
What does the AI Governance track cover?
Four courses: the AI/ML Advanced Course (build AI from first principles to your own GPT), the AI Governance & Responsible AI Course, AI for QA, and AI Platform Engineering for Investment Management (build and operate a governed AI platform for investment research).
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 instructor-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.
Go further on AI governance
An extended governance program and an exam-prep simulator that pair with this track.
Advance your AI capability
Take a single course or the full track, individually or as a tailored corporate cohort.